Sage Journals: Discover world-class research

Abstract

Obsessive-compulsive disorder is a debilitating psychiatric disorder that is characterised by perseverative thoughts and behaviours. Cognitive and affective disturbances play a central role in this illness, and it is therefore not surprising that clinical neuroimaging studies have demonstrated widespread alterations in prefrontal cortex functioning in patients. Preclinical mouse experimental systems provide the opportunity to gain mechanistic insight into the neurobiological changes underlying prefrontal cortex dysfunction through new technologies that allow measurement and manipulation of activity in discrete neural populations in awake, behaving mice. However, recent preclinical research has focused on striatal dysfunction, and has therefore provided relatively little insight regarding the role of the prefrontal cortex in obsessive-compulsive disorder–relevant behaviours. Here, we will discuss a number of translational prefrontal cortex–dependent paradigms, including obsessive-compulsive disorder–relevant tasks that produce compulsive responding, and how they can be leveraged in this context. Drawing on recent examples that have led to mechanistic insight about specific genes, cell types and circuits that mediate prefrontal cortex contributions to distinct aspects of cognition, we will provide a framework for applying similar strategies to identify neural mechanisms underlying obsessive-compulsive disorder–relevant behavioural domains. We propose that research using clinically relevant paradigms will accelerate translation of findings from preclinical mouse models, thus supporting the development of novel therapeutics targeted to specific pathophysiological mechanisms.

Keywords

Obsessive-compulsive disorder mouse models prefrontal cortex cognition

Overview: prefrontal cortex dysfunction in obsessive-compulsive disorder

Obsessive-compulsive disorder (OCD) is a debilitating neuropsychiatric disorder that affects 2–3% of the population worldwide and is associated with significant disability (Lochner et al., 2014; Meier et al., 2016; Murray et al., 1996; Perez-Vigil et al., 2018). The core symptoms of OCD are persistent intrusive thoughts, or obsessions, and uncontrollable repetitive rituals, or compulsions. Convergent neuroimaging and neurocognitive findings support a model whereby abnormalities in cortico-striato-thalamo-cortical (CSTC) loops play a critical role in these symptoms (Ahmari and Dougherty, 2015; Ting and Feng, 2011). Prefrontal cortex (PFC) dysfunction is central in this model, with the most well-replicated finding being orbitofrontal cortex (OFC) hyperactivity at baseline and following symptom provocation (Baxter et al., 1987; Breiter et al., 1996; Rauch et al., 1994); this activity is normalised following successful treatment (Benkelfat et al., 1990; Nakao et al., 2005; Saxena et al., 1999; van der Straten et al., 2017). In contrast, neuroimaging studies conducted during cognitive testing (e.g. reversal learning) consistently reveal impaired recruitment of OFC in OCD patients (Chamberlain et al., 2008; Gillan et al., 2015; Gu et al., 2008; Remijnse et al., 2006, 2009, 2013).

In addition to these findings, there is substantial evidence for abnormalities in other PFC subregions in OCD patients either at baseline or associated with symptom provocation/cognitive impairment. Similar to observations in OFC, these abnormalities tend to follow the pattern of increased activity at baseline and impaired modulation during task performance. For example, the anterior cingulate cortex (ACC) shows hyperactivity at baseline (Perani et al., 1995), following symptom provocation (Breiter et al., 1996; Rauch et al., 1994), and during error processing (Fitzgerald et al., 2005), whereas successful treatment is associated with normalisation of baseline hyperactivity (Perani et al., 1995). In contrast, reduced ACC activation has been reported in OCD patients during tasks measuring executive functioning, including working memory and cognitive flexibility (Gu et al., 2008; Koch et al., 2012). Ventromedial PFC (VMPFC) hyperactivity has also been observed during symptom provocation in patients with prominent hoarding (An et al., 2009) and in response to threatening stimuli in a Pavlovian fear task; this VMPFC hyperactivity in turn predicted failure to adapt fear-related responses following reversal of the neutral and shock-paired cues (Apergis-Schoute et al., 2017). Again, opposite patterns of VMPFC dysfunction are observed during cognitive testing, with impaired recruitment observed during fear extinction training and recall in OCD patients with extinction recall deficits (Milad et al., 2013), and during task-switching paradigms (Gu et al., 2008). Dorsolateral PFC (DLPFC) also shows robust hypoactivity in OCD patients during tasks assessing executive functioning, including the Tower of London task, reversal learning and task switching (Gu et al., 2008; Remijnse et al., 2006, 2013; Vaghi et al., 2017a; van den Heuvel et al., 2005), and reduced resting-state DLPFC-putamen functional connectivity was recently associated with impaired set-shifting (Vaghi et al., 2017b). Finally, whereas OCD patients with high sensitivity to disgust demonstrate ventrolateral PFC (VLPFC) hyperactivity in response to facial expressions of disgust (Lawrence et al., 2007), reduced resting-state functional connectivity in the VLPFC-dorsal caudate has been associated with impaired goal-directed behaviour (Vaghi et al., 2017b). These recent functional connectivity studies from Vaghi et al. (2017b) may account for discrepancies between earlier studies reporting increased (Harrison et al., 2009, 2013) and decreased (Posner et al., 2014) resting-state functional connectivity in PFC-striatal circuits, because the directionality of functional connectivity changes may depend on the degree or type of cognitive impairment observed in patients in each particular study.

Synthesising these data, a common pattern emerges across PFC subregions: dissociation between the abnormal activity patterns that contribute to OCD symptoms and those that contribute to cognitive impairments (Table 1). Typically, hyperactivity in PFC (and striatal) regions is correlated with severity of obsessions, compulsions and symptom-associated affective states, including fear and disgust, whereas the same PFC regions often show hypoactivity across a variety of cognitive tasks. This is a striking observation that has not yet been reconciled within the clinical neuroimaging field, perhaps because the precise mechanisms underlying this double dissociation may be difficult to address given the limited spatial and temporal resolution of clinical neuroimaging methodologies. Preclinical models provide a number of unique advantages for gaining mechanistic insight into the contribution of different PFC subregions to specific OCD-relevant behaviours, but thus far they have not been fully utilised for this purpose. The goal of this Special Issue article is to (1) summarise recent findings from preclinical mouse models in OCD research, including attempts to probe PFC dysfunction; (2) describe OCD-relevant behavioural paradigms that are dependent on PFC functioning which can be applied in experimental mouse systems; (3) highlight advanced neuroscience approaches for investigating genetic, neuronal sub-type and circuit-specific contributions to behaviour and (4) use recent examples from the literature to help develop a framework for integrating these approaches with translational PFC-dependent behavioural paradigms to gain new mechanistic insight about PFC dysfunction in OCD.

Table 1.

Summary of functional imaging studies demonstrating PFC dysfunction in OCD patients.

Subregion	Hyperactivity		Hypoactivity
Subregion	Paradigm	Studies	Paradigm	Studies
OFC	Baseline, symptom provocationNormalised following successful treatmentAvoidance acquisition	Baxter et al. (1987), Rauch et al. (1994), Breiter et al. (1996) Saxena et al. (1999), Nakao et al. (2005), Benkelfat et al. (1990) Gillan et al. (2015)	Cognitive flexibilityAvoidance overtraining	Chamberlain et al. (2008), Remijnse et al. (2006, 2009, 2013), Gu et al. (2008) Gillan et al. (2015)
ACC	Baseline, symptom provocationError processing	Rauch et al. (1994), Breiter et al. (1996), Perani et al. (1995) Fitzgerald et al. (2005)	Cognitive flexibilityWorking memory	Gu et al. (2008) Koch et al. (2012)
VMPFC	Symptom provocationThreatening stimuli	An et al. (2009) Apergis-Schoute et al. (2017)	Cognitive flexibilityFear extinction/recall	Gu et al. (2008) Milad et al. (2013)
DLPFC			Cognitive flexibilityPlanning	Gu et al. (2008), Remijnse et al. (2006, 2013)van den Heuvel et al. (2005), Vaghi et al. (2017a)
VLPFC	Disgust (facial expressions)	Lawrence et al. (2007)

PFC: prefrontal cortex; OCD: obsessive-compulsive disorder; OFC: orbitofrontal cortex; ACC: anterior cingulate cortex; VMPFC: ventromedial PFC; DLPFC: dorsolateral PFC; VLPFC: ventrolateral PFC.

Preclinical OCD research

Overview of OCD-relevant mouse experimental systems

A rapidly expanding literature is using preclinical mouse models to study pathophysiological mechanisms underlying OCD (reviewed also in Monteiro and Feng, 2016; Szechtman et al., 2017; Zike et al., 2017a). While it is important to recognise that no animal model can recapitulate all aspects of OCD, these experimental systems serve as valuable tools for examining component processes and pathophysiologic/therapeutic mechanisms with a level of precision that cannot be achieved in clinical research. These preclinical models, which aim to mimic disturbances hypothesised to contribute to the aetiology of OCD, have been generated through a variety of methods, including genetic manipulations (Greer and Capecchi, 2002; Shmelkov et al., 2010; Ullrich et al., 2018; Welch et al., 2007; Xu et al., 2017), pharmacological manipulations (Shanahan et al., 2009, 2011) and, more recently, neural circuit perturbations (Ahmari et al., 2013; Burguiere et al., 2013; Rapanelli et al., 2017a). A number of different behaviours relevant to OCD have been measured in these models, including compulsive self-grooming (Kalueff et al., 2016), other repetitive actions (Pogorelov et al., 2015; Xu et al., 2015; Zike et al., 2017b), prepulse inhibition (PPI; Baldan Ramsey et al., 2011; Shanahan et al., 2009) and anxiety-like behaviour (Ade et al., 2016; Shmelkov et al., 2010; Welch et al., 2007). Although construct and predictive validity have been traditionally used to determine the relevance of particular models for preclinical research (i.e. whether the model is generated via a pathophysiological change similar to that which generates the disease, and whether it is responsive to therapeutic interventions that are effective in patients), a large proportion of OCD patients do not show improvements with current treatment options (Eisen et al., 2013), and the precise mechanisms that cause OCD are still poorly understood. For this reason, it is important to note that face validity has often been emphasised in these models, despite the clear challenges that accompany translation of species-typical behaviours.

Compulsive grooming and striatal dysfunction in mouse models

A key advantage of using preclinical models is the opportunity for detailed characterisation of CSTC loop dysfunction implicated in OCD pathophysiology with a level of precision that is not possible in clinical imaging studies. A large number of studies have now demonstrated that compulsive grooming in mice resulting from both genetic and circuit manipulations is often associated with striatal dysfunction. These studies have identified changes in striatal synaptic density and structure via Golgi staining and electron microscopy (Nagarajan et al., 2017; Shmelkov et al., 2010; Welch et al., 2007), changes in excitability of spiny projection neurons (SPNs) using ex vivo slice electrophysiology (Aida et al., 2015; Krabbe et al., 2017; Nagarajan et al., 2017; Shmelkov et al., 2010; Ullrich et al., 2018; Welch et al., 2007) and calcium imaging (Ade et al., 2016) and altered SPN activity in vivo which has been linked to specific behavioural disturbances (Ahmari et al., 2013; Burguiere et al., 2013). In several different models, striatal manipulations were found to be necessary or sufficient for the induction of compulsive grooming. For example, viral-mediated striatal re-expression of a candidate risk gene for OCD (SAPAP3) normalised compulsive grooming in both SAPAP3 knockout (KO) mice and transcription factor MeCP2 mutant mice (Mahgoub et al., 2016; Welch et al., 2007). Similarly, striatal-specific deletion of histone deacetylase genes 1 and 2 in a conditional mutant model was sufficient to recapitulate the compulsive grooming phenotype that resulted from whole forebrain gene deletion (Mahgoub et al., 2016). Further supporting a role for striatal disturbances in pathologic grooming, others have recently demonstrated that artificially increasing activity in a population of striatal neurons targeted by hypothalamic histaminergic neurons is sufficient to produce compulsive grooming (Rapanelli et al., 2017a). Together, these studies have provided valuable insights regarding the relationship between striatal dysfunction and abnormal OCD-relevant behaviours. However, the questions of whether/how upstream cortical structures are involved in generating the striatal abnormalities leading to these pathologic behaviours remain unanswered.

Studying PFC dysfunction in preclinical mouse models

Compared to the literature detailing striatal abnormalities in preclinical OCD mouse models, investigation of PFC disturbances is limited. One recent example used electron microscopy to identify synaptic disturbances, including increased length and density of spines and thinning of the post-synaptic density, in the frontal cortex of the Hoxb8 KO mouse model, which displays compulsive grooming (Greer and Capecchi, 2002) linked specifically to Hoxb8 deletion in microglia (Chen et al., 2010). However, it is unclear how these changes in PFC contribute to the development of abnormal behaviours (Nagarajan et al., 2017). In another study, genetic deletion of Slitrk5, a member of a synaptic transmembrane protein family that has been associated with OCD risk (Ozomaro et al., 2013; Song et al., 2017; Wendland et al., 2006), resulted in compulsive grooming and anxiety. In addition, medial OFC (mOFC) hypermetabolism was inferred via elevation of the neural activity marker FosB. However, far more extensive anatomical, molecular and electrophysiological characterisation was completed in the striatum (Shmelkov et al., 2010). Finally, studies in mice have demonstrated that RU24969-mediated 5-HT_1B receptor activation in ventrolateral OFC (vlOFC) induces disruption of PPI and perseverative locomotion (Shanahan et al., 2011) that are potentially relevant to OCD (Gross-Isseroff et al., 2004; Pittenger et al., 2016; Stein et al., 1999); however, the role of OFC 5-HT_1B receptors has not yet been assessed in other preclinical models.

Nuanced interpretation of these findings requires consideration of cortico-striatal projection patterns. In particular, mOFC and lateral OFC (lOFC) differ markedly in their striatal outputs (ventromedial striatum (VMS) and dorsal striatum, respectively; Berendse et al., 1992; Mailly et al., 2013; Schilman et al., 2008). This gradient of OFC-striatal connectivity is well conserved in primates (Heilbronner et al., 2016) and may contribute to functional heterogeneity across the medial–lateral axis of the OFC (Izquierdo, 2017). This functional gradient is also highlighted by two studies that used optogenetics to determine how specific OFC-striatal projections contribute to OCD-relevant compulsive grooming. One study demonstrated that repeated optogenetic stimulation of the mOFC-VMS circuit can induce both excessive grooming and accompanying striatal plasticity in normal mice (Ahmari et al., 2013). Another study used optogenetics to probe cortico-striatal circuit involvement in OCD-relevant compulsive grooming in mice carrying a deletion of SAPAP3 (Welch et al., 2007), a post-synaptic scaffolding protein that has been implicated in OCD risk (Bienvenu et al., 2009; Mattheisen et al., 2015; Stewart et al., 2013; Zuchner et al., 2009). In this model, acute stimulation of the lOFC-centromedial striatum (CMS) circuit normalised compulsive grooming, potentially by boosting activity in striatal parvalbumin positive (PV+) interneurons (Burguiere et al., 2013). Together, these findings support an important role for the PFC in the manifestation of OCD-like behaviour that is consistent with findings from clinical imaging studies, and suggest areas that warrant further mechanistic investigation in preclinical rodent models.

Consideration of PFC homology between rodent and primate

In preclinical psychiatry research, it is important to consider the degree of similarity between the human brain and that of the model species being used. This is particularly significant for studies of PFC, as this area has undergone rapid development within the primate order relative to other mammals (Smaers et al., 2017). One of the main concerns about the use of rodents to study PFC functioning is that they do not have six-layered granular cortex in the relevant frontal regions (Wise, 2008). However, the functional significance of the layer IV granule cells that are missing in rodent PFC is not clear, and other features known to be important for PFC functioning are similar between rodents and primates, including thalamic and dopaminergic inputs (Carlen, 2017; Uylings et al., 2003). Continued investigation to more thoroughly understand the shared and distinct aspects of rodent and primate PFC is therefore critical for appropriate interpretation and translation of rodent studies. Recent examples of such studies include the first thorough histological characterisation of mouse PFC (Van De Werd et al., 2010), which was used to help refine parcellation of subregions (Van De Werd and Uylings, 2014), and a detailed comparison of anatomical and electrical properties of PFC inhibitory interneurons between rat and primate (Povysheva et al., 2008). Functional homology between rodent and primate species has also been addressed using PFC-dependent behavioural paradigms, but it can be challenging to draw satisfying conclusions because identical paradigms are often not used across species. This issue was highlighted in a recent review on cross-species investigation of OFC in decision-making (Wallis, 2011). It is therefore critical to directly compare behaviour in rodents and primates, as exemplified by studies by Arnsten and colleagues demonstrating functional homology between monkey DLPFC and rodent prelimbic PFC (PrL) during a working memory task (Gamo et al., 2015; Wang et al., 2007).

In the context of OCD research, careful consideration of the patterns of PFC projections to striatal targets in rodents versus primates is particularly critical, since PFC-striatal circuit disturbances are theorised to be central to the disorder (Ahmari and Dougherty, 2015). Cortico-striatal circuits are thought to be topographically organised in parallel (Alexander et al., 1986) or spiralling (Haber, 2016) loops, whereby PFC projections to striatum generally follow a rough dorsal–ventral gradient (Haber, 2003, 2016). This organisation produces broadly separable functional loops; with primary and supplementary motor areas projecting dorsolaterally to caudate to form the ‘motor loop’; DLPFC and OFC projecting centrally to caudate/putamen to form the ‘cognitive/associative loop’ and VMPFC/ACC projecting ventrally to nucleus accumbens (NAc) to form the ‘motivational/limbic loop’ (converging with inputs from limbic areas including the amygdala). Recent studies by Heilbronner et al. (2016) have demonstrated substantial homology in striatal projection patterns of medial and orbital PFC subregions through head-to-head anatomical comparison between rats and non-human primates. However, some discrepancies were observed in ACC-striatal projections, with reduced ventral spread of ACC projections in rodents relative to primates leading to decreased overlap with NAc shell and amygdala-striatal projection fields. This suggests the possibility that rodent ACC is less involved in ‘limbic loop’ affective and motivational behaviours than primate ACC. These examples highlight that careful consideration of functional homology of PFC subregions in the context of their outputs and associated behavioural domains is essential to design preclinical studies that can be used as a foundation for developing targeted circuit-specific neuromodulatory treatments.

All rodents are not created equal

Mice and rats are the predominant rodent models in neuroscience research. For purposes of this review, although most of the extant literature examining neuroanatomical homology between rodents and primates has focused on rats, we will assume that mouse and rat PFC have similar levels of homology. However, it is clear that there are other differences between these rodent species that influence their suitability for mechanistic studies of PFC contributions to OCD-relevant behaviours. Most broadly, rats typically have more rapid acquisition of complex instrumental behaviours, whereas a wider range of sophisticated genetic models are available for mechanistic studies in mice. The current preclinical OCD literature can therefore be largely segregated into two subfields: (1) mechanistic studies in mouse models focusing on simple OCD-relevant behaviours and (2) studies of more complex cognitive behaviours in rats with less ability to explore mechanisms. We will focus here on approaches for studying PFC dysfunction in mouse models, as this literature has expanded rapidly in recent years. However, it is important to note that because of advances in genetic technologies that can be applied in rats (e.g. clustered regularly interspaced short palindromic repeat – CRISPR-associated protein (CRISPR-CAS); Heidenreich and Zhang, 2016; Wright et al., 2016), and home-cage based instrumental paradigms that can facilitate more complex behavioural testing in mice (Remmelink et al., 2016, 2017), integration of these subfields is now possible.

OCD-relevant behavioural paradigms for probing PFC functioning in preclinical models

Development of paradigms in rats for the assessment of OCD-relevant compulsive responding

Very little behavioural characterisation of the mouse models described above has been performed beyond assessment of compulsive grooming, repetitive stereotypies, anxiety-like behaviours and PPI. A number of paradigms developed in rats may therefore be valuable for more deeply probing OCD-relevant compulsive behaviours in preclinical mouse models. Training in these paradigms causes rats to perform task-specific compulsive responses, in contrast to the non-instrumental behaviours that are typically studied in mice (i.e. grooming, stereotypy). Three key examples are as follows: (1) the development of compulsive avoidance after failed extinction with response prevention (Ex-RP) training in an avoidance conditioning paradigm (Rodriguez-Romaguera et al., 2016), (2) the development of excessive lever pressing following extinction of the reward-paired cue in the signal attenuation task (Joel and Avisar, 2001) and (3) the development of compulsive checking responses to gain information about the location of the active lever in an observable response task (Eagle et al., 2014).

Early studies using these paradigms in rats have demonstrated their potential for further mechanistic research investigating PFC dysfunction relevant to OCD. For example, using the avoidance conditioning paradigm, persistent avoidance following Ex-RP was found to be differentially modulated by pharmacological inactivation of the lOFC depending on the success of Ex-RP. Rats that were resistant to Ex-RP (high freezing throughout extinction) typically showed persistent avoidance in a probe test, and avoidance was reduced in these rats following lOFC inactivation. Surprisingly, persistent avoidance was increased following lOFC inactivation in rats that showed successful Ex-RP training (Rodriguez-Romaguera et al., 2016). This differential contribution of the OFC to compulsive behaviour in pathological (high freezing/persistent avoiders) and normal (low freezing/low avoiders) conditions is somewhat consistent with the differential effects of optogenetic stimulation of OFC circuits in normal (Ahmari et al., 2013) versus mutant (Burguiere et al., 2013) mice, and supports the importance of dissection of these circuits in both healthy and pathological conditions in preclinical models. In addition, persistent avoidance was rescued following deep brain stimulation (DBS) in the dorsal portion of the ventral striatum during Ex-RP training (Rodriguez-Romaguera et al., 2016) comparable to the ventral capsule/ventral striatum (VC/VS) target used in OCD DBS (Dougherty et al., 2016; Greenberg et al., 2006; Rauch et al., 2006). DBS at this site was previously found to induce expression of the plasticity marker phospho-ERK across PFC subregions, including mOFC, lOFC, PrL and infralimbic (IL) PFC (Rodriguez-Romaguera et al., 2012, 2015), and lOFC in vivo recordings during VC/VS DBS in rats show activity consistent with antidromic activation of cortico-striatal projections (McCracken and Grace, 2007, 2009). These findings support clinical neuroimaging data suggesting that modulation of PFC activity is involved in mediating the therapeutic effects of VC/VS DBS (Dougherty et al., 2016; Figee et al., 2013). Further studies in preclinical models are necessary to demonstrate a causal role.

The OFC has also been implicated in the development of excessive lever pressing following signal attenuation training, with lOFC lesions increasing compulsive behaviour in this paradigm (Joel et al., 2005; Schilman et al., 2010), and blockade of lOFC 5-HT_2C receptors exerting an anti-compulsive effect (Flaisher-Grinberg et al., 2008). Although PFC involvement in the observable checking task has not been directly assessed, compulsive checking was exacerbated by quinpirole sensitisation (Eagle et al., 2014), a well-established paradigm for the induction of compulsive exploration that is dependent on lOFC functioning (Dvorkin et al., 2010). Thus, the quinpirole data support a potential role of lOFC in expression of compulsive checking in this task. Together, these studies provide convergent evidence of a critical role for PFC in the development of different types of compulsive responses, supporting the utility of these tasks for further mechanistic studies probing OCD-relevant PFC dysfunction.

Translatable neurocognitive paradigms that are consistently abnormal in OCD

In addition to the OCD-relevant paradigms developed in rats described above, there are several established rodent tasks that can be used to measure neurocognitive domains that are consistently abnormal in OCD (Table 2). These domains include cognitive flexibility (Chamberlain et al., 2006, 2007; Gottwald et al., 2018; Gu et al., 2008; Remijnse et al., 2006; Vaghi et al., 2017b), goal-directed behaviour (Gillan et al., 2011, 2014a; Vaghi et al., 2017b), response inhibition (Chamberlain et al., 2006; Menzies et al., 2007), working memory (Chamberlain et al., 2007; Jaafari et al., 2013) and aversive learning processes (Apergis-Schoute et al., 2017; Gillan et al., 2014b; Milad et al., 2013). Functional neuroimaging in patients during many of these paradigms has identified abnormalities in task-related PFC activity (Table 1). Testing preclinical models relevant to OCD in these translational paradigms will be an important first step towards gaining new mechanistic insight into PFC dysfunction in OCD.

Table 2.

Summary of select preclinical studies that have provided new mechanistic insight into PFC contributions to cognitive functions that are altered in patients with OCD.

Cognitive domain	Impairment in OCD	Translational behavioural paradigms	Preclinical studies providing mechanistic insight into PFC contributions
Goal-directed behavior	Gillan et al. (2011, 2014a), Gottwald et al. (2018)	Habit testing (e.g. outcome devaluation or contingency degradation)	BDNF expression in mOFC-amygdala circuits controls goal-directed behavior (Zimmermann et al., 2017)OFC-dorsal striatum endocannabinoid signalling regulates goal-directed behaviour (Gremel et al., 2016)
Working memory	Chamberlain et al. (2007), Jaafari et al. (2013)	Delayed-match to sample task (e.g. T maze)	Multi-site electrophysiology/optogenetics used to demonstrate that hippocampal-mPFC inputs are critical for encoding the sample (Spellman et al., 2015)Multi-site electrophysiology/optogenetics used to demonstrate that mediodorsal (MD) thalamus-mPFC inputs support maintenance, whereas mPFC-MD thalamus inputs support choice (Bolkan et al., 2017)
Aversive learning	Milad et al. (2013), Apergis-Schoute et al. (2017), Gillan et al. (2014b, 2015)	Fear and avoidance conditioning and extinction	Optogenetic inhibition of mPFC PV interneurons is associated with expression of fear and avoidance behaviours (Courtin et al., 2014)
Cognitive flexibility	Remijnse et al. (2006), Gu et al. (2008), Chamberlain et al. (2006, 2007), Vaghi et al. (2017b)	Reversal learning,set-shifting	Optogenetic inhibition of mPFC interneurons disrupts cognitive flexibility (Cho et al., 2015)
Response Inhibition	Chamberlain et al. (2006), Menzies et al. (2007)	Three-choice serial reaction time task	Activation of PV interneurons (at 10 Hz) increased premature responses (Kim et al., 2016)

OCD: obsessive-compulsive disorder; PFC: prefrontal cortex; BDNF: brain-derived neurotrophic factor; OFC: orbitofrontal cortex; mOFC: medial OFC; mPFC: medial PFC; PV: parvalbumin.

Advanced neuroscience approaches for gaining mechanistic insight into PFC dysfunction in OCD

While findings from clinical neuroimaging provide strong evidence for disrupted PFC functioning in OCD, studies in patients are severely limited in their ability to identify neural mechanisms causing these changes in activity. The popularity of mouse models in neuroscience is largely due to compatibility with advanced approaches for examining contributions of specific genes, cell types and circuits to behaviour. In the following section, we will expand on the neuroscience approaches introduced in our summary of the preclinical literature, and highlight their utility for facilitating mechanistic investigations of PFC functioning.

Tools for precisely manipulating gene expression

OCD is a highly heritable disorder, with genetic variance accounting for ~40% of phenotypic variance as measured in familial studies (Taylor, 2011) and more recent genome-wide common variant analyses (Davis et al., 2013). Despite this, strong candidate risk genes are lacking. Genome-wide association studies (GWAS) conducted to date have been underpowered, with a recent meta-analysis of the two largest studies including less than 3000 patients (International Obsessive Compulsive Disorder Foundation Genetics Collaborative (IOCDF-GC) and OCD Collaborative Genetics Association Studies (OCGAS), 2018). Nevertheless, there has been strong convergent evidence that genes expressed at the glutamatergic synapse are involved in OCD risk (Wu et al., 2012), and a number of transgenic models have attempted to test this hypothesis (Aida et al., 2015; Shmelkov et al., 2010; Welch et al., 2007; Xu et al., 2017; Zike et al., 2017b).

A growing number of conditional and inducible expression systems are available to control cell type, brain region, timing and directionality of gene expression changes, providing new opportunities to go beyond constitutive KO models and dissect specific contributions of genes to behaviour (Branda and Dymecki, 2004; Tanaka et al., 2010; Wang et al., 2012; Zhou et al., 2018). Several preclinical OCD studies have used these approaches for cell-type-specific gene disruption (Aida et al., 2015; Chen et al., 2010; Nagarajan et al., 2017), temporal control over gene disruption (Aida et al., 2015) and selective rescue of gene expression (Mahgoub et al., 2016; Welch et al., 2007; Zike et al., 2017b). Cell-type specific expression systems will be particularly valuable for determining which PFC cell types (i.e. excitatory pyramidal cells, inhibitory interneurons or glia) are responsible for the development of OCD-relevant behaviours. Increased efficiency of genome editing using the CRISPR-CAS system will make generation of more sophisticated transgenic lines even more widely available in both rats and mice (Heidenreich and Zhang, 2016; Wright et al., 2016). Finally, genes can be deleted in specific circuits using retrograde viral approaches (Gremel et al., 2016), including herpes simplex virus (HSV), canine adenovirus (CAV) and recombinant adeno-associated viruses (rAAV-retro) (Kremer et al., 2000; Tervo et al., 2016; Ugolini et al., 1987). Recent advances have helped to limit toxicity and improve transfection efficiency (Reardon et al., 2016; Tervo et al., 2016), paving the way for using this approach to investigate the contribution of specific cortico-striatal circuits to OCD-relevant behaviours.

Tools for manipulating and recording neural activity

To date, the most consistent pathological hallmark of OCD is altered neural activity patterns in PFC and striatum (Baxter et al., 1987; Breiter et al., 1996; Del Casale et al., 2011; Rauch et al., 1994; van der Straten et al., 2017). Over the last 10 years, rapid development of new approaches to precisely control neural activity in vivo has facilitated the testing of causal relationships between specific changes in PFC and striatal neural activity and the development or resolution of OCD-relevant behaviours in preclinical models. Optogenetics (Boyden et al., 2005; Kim et al., 2017) and chemogenetics (Alexander et al., 2009; Smith et al., 2016) are the most widely used methods for specific manipulation of neural activity. Both approaches require viral-mediated expression of exogenous membrane proteins, such as light-activated ion channels and pumps (optogenetics), or G-protein-coupled receptors activated by otherwise inert ligands (chemogenetics). Genetically engineered variants enable either excitation or inhibition of target neural populations. In addition, a variety of promoter systems, including those described in the previous section, can be used to generate cell type and temporally specific expression of these tools, with Cre-lox being the most widely used conditional expression system. Recent developments also allow selective manipulation of neurons that are activated during a discrete temporal window; this approach was recently used to demonstrate that striatal neurons activated by hypothalamic histaminergic cells are necessary and sufficient for the induction of compulsive grooming (Rapanelli et al., 2017a). Spatial restriction of optogenetic light delivery can provide further circuit specificity by allowing selective activation or inhibition of neural projections to a specific target structure (see Ahmari et al., 2013; Burguiere et al., 2013). Furthermore, precise timing of light delivery during optogenetic stimulation is a powerful tool for determining when neural activity in a population of neurons is contributing to behaviour, that is, during specific task epochs of neurocognitive paradigms such as outcome presentation (Bolkan et al., 2017; Spellman et al., 2015). Unlike optogenetics, chemogenetic approaches have long-lasting effects that can be advantageous for chronic elevation or suppression of neural activity (though note that step-function opsins have also helped address this limitation of optogenetics; Yizhar et al., 2011). For example, a chronic approach may be more useful for suppressing neural activity throughout cognitive testing in a paradigm that requires long training sessions (e.g. 30 min or more) over several days or weeks (Parnaudeau et al., 2015) or investigating effects of chronic elevation or suppression of neural activity relevant to symptoms and treatment of psychiatric disorders (Urban et al., 2016). Integration of these advanced approaches for circuit manipulation with techniques for recording activity in specific neural populations while an animal engages in complex behaviours – for example, opto-tagging (Cohen et al., 2012; Kim et al., 2016; Kvitsiani et al., 2013; Lima et al., 2009), in vivo imaging with ultrasensitive calcium indicators (Cai et al., 2016; Chen et al., 2013; Ghosh et al., 2011) and projection-specific fibre photometry (Cui et al., 2013, 2014; Gunaydin et al., 2014) – will be essential for progress in preclinical OCD research.

Framework for integrating advanced neuroscience approaches to gain translationally relevant insight about the PFC in OCD

Sophisticated integration of the methods described above can be used to address the precise ways in which genetic and cellular disturbances in the PFC impact neural encoding, circuit function and resulting behaviour. Already, a number of groups have begun to use this approach in mice to understand cognitive domains that are impacted in OCD; however, these studies have generally focused on dissection of normal circuit functioning. This section will provide a summary of this work probing neural mechanisms controlling cognitive functioning in the normal brain, and discuss how these studies may serve as a guide for future investigations of similar behaviours in preclinical OCD experimental systems.

Studies linking neural activity in the PFC to specific aspects of cognitive functioning that are impacted in OCD

Several recent studies have used advanced neuroscience techniques to gain new mechanistic insight into cognitive functions that are impaired in OCD (Table 2). First, a recent study used conditional gene manipulation to investigate genetic regulation of the balance between goal-directed and habitual behaviour. Cannabinoid type 1 (CB1) receptors were selectively deleted in lOFC neurons projecting to striatum using retrograde viral approaches. Activation of presynaptic CB1 receptors in this circuit typically suppresses circuit function; conversely, CB1 receptor deletion is thought to disrupt this brake on lOFC-dorsal striatum signalling. Interestingly, this intervention disrupted the expression of habitual behaviour, while selective inhibition of this pathway using chemogenetic approaches disrupted the expression of goal-directed behaviour (Gremel et al., 2016). Expression of the neurotrophic factor BDNF (brain-derived neurotrophic factor) in the lOFC was also found to be critical for the expression of goal-directed behaviour, and ‘disconnection studies’ combining unilateral lOFC BDNF depletion with contralateral amygdala lesions have demonstrated that lOFC projections to the amygdala are responsible for this effect (Zimmermann et al., 2017). Together, these studies suggest that expression of specific synaptic genes in lOFC output circuits regulates the balance between goal-directed and habitual behaviour. Because OCD patients show a bias towards habitual behaviour (Gillan et al., 2011, 2014a; Vaghi et al., 2017b), it may be important to investigate this balance in OCD preclinical models.

Integration of in vivo electrophysiology and optogenetics has provided a powerful approach for demonstrating the precise temporal patterns of neural activity that are associated with specific aspects of cognition, and determining whether that activity is necessary for optimal behavioural performance. Working memory tasks have been an exemplar for this approach, as there are distinct phases of the task where information is presented, held online and retrieved in order to make a correct decision. Using multi-site electrophysiology followed by temporally specific optogenetic inhibition, it has been demonstrated that hippocampal inputs to medial PFC (mPFC) are critical for encoding during information presentation (Spellman et al., 2015). In contrast, thalamic inputs to mPFC support maintenance of information across a delay, and mPFC outputs back to thalamus are critical for using the information that was held online to select the correct choice (Bolkan et al., 2017). These two studies demonstrate the complexity of PFC input and output contributions to distinct components of a single cognitive function (i.e. working memory). Working memory impairments have been reported in OCD patients, with larger effects during more difficult (Chamberlain et al., 2007) and visuospatial (Snyder et al., 2015) tasks, which may account for some inconsistencies between studies (Ahmari et al., 2014). Similar approaches could therefore be used to examine the substrates of different components of working memory in preclinical OCD models.

Optogenetics has also been used with Cre-driver lines to dissect the role of specific PFC interneurons in different aspects of cognition. For example, optogenetic inhibition of PV+ interneurons in mPFC during presentation of a previously shock-paired stimulus can reinstate the expression of fear-related behaviours following extinction, whereas inhibition during exploration of a distinct context produces acute place avoidance (Courtin et al., 2014). Interestingly, optogenetic inhibition of all mPFC interneurons also disrupted cognitive flexibility in a task-switching paradigm (Cho et al., 2015), whereas optogenetic activation of PV+ interneurons at a much lower frequency than they typically fire (10 Hz) disrupted response inhibition in a three-choice serial reaction time task (3-CSRTT; Kim et al., 2016). Cognitive flexibility, response inhibition and fear extinction recall are all impaired in OCD patients (Chamberlain et al., 2006; Menzies et al., 2007; Milad et al., 2013; Remijnse et al., 2006; Vaghi et al., 2017b) and may contribute to impaired control over perseverative thoughts and actions (Gruner and Pittenger, 2017). These convergent findings of mPFC interneuron involvement in three different cognitive domains that are impaired in OCD suggest that they may be a good candidate for further examination in preclinical models, especially since striatal interneurons have also been implicated in the emergence of OCD-relevant behaviours (Burguiere et al., 2013; Rapanelli et al., 2017b; Xu et al., 2015).

Framework for applying this approach in preclinical OCD-relevant models

The studies summarised above provide examples of integration of advanced neuroscience approaches with OCD-relevant cognitive paradigms to uncover specific neural mechanisms underlying behaviour. The strategies used in these studies can provide a valuable framework for addressing experimental questions that are specifically related to OCD pathophysiology, using both existing and new preclinical models. Our proposed step-by-step framework is summarised below and in Figure 1.

Figure 1.

Framework for new preclinical studies examining the PFC in OCD. New and existing mouse models can be characterised in PFC-dependent OCD-relevant behavioural paradigms including translational neurocognitive tasks (Table 2) and paradigms that induce task-specific compulsive behaviours that were originally developed in rats. Preclinical models that show changes in behaviour in these paradigms are good candidates for further characterisation of the PFC, using in vivo methods that assess neural activity underlying behaviour (e.g. electrophysiology and calcium imaging) and post-mortem methods to characterise neuropathology (e.g. gene expression analysis and immunohistochemistry and quantitative assessment of cell type and neural activity markers). Finally, neural changes identified in these studies can be further investigated to determine whether they are causally linked to the development of OCD-relevant behaviours, using various methods to control the functioning of genes, cell types and circuits in vivo.

1. Behavioural characterisation using PFC-dependent and OCD-relevant paradigms

A first step to accelerate discovery of neural changes in PFC that modify behaviours relevant to OCD is characterisation of existing (and new) preclinical models in OCD-relevant behavioural paradigms that are known to be PFC-dependent. Although there is some preclinical evidence that the PFC is involved in excessive grooming (Ahmari et al., 2013; Burguiere et al., 2013), this may not be the most effective behavioural paradigm for probing PFC contributions to behaviours in OCD. Here, we have highlighted translational neurocognitive paradigms similar to those that have been used in OCD clinical imaging studies, and behavioural paradigms first developed in rats that cause the development of task-specific compulsive responses. These paradigms can serve as an initial screening tool to identify promising preclinical models for further mechanistic studies.

2. Detailed investigation of the PFC in models that show relevant behavioural changes

Preclinical models that show OCD-relevant behavioural changes in PFC-dependent paradigms are good candidates for more detailed investigation of the PFC. There are a number of approaches that can be used at this step, which can be broadly categorised into methods assessing PFC functioning in vivo and those assessing the PFC in post-mortem brain tissue. In vivo measurements of neural activity are powerful tools for linking PFC functioning to behavioural deficits. Given the bidirectional changes observed in OCD patients in neuroimaging studies (Table 1), comparison of activity at baseline, during cognitive testing and during symptom-related behaviours (e.g. compulsive grooming) is highly warranted and may provide insight into mechanisms underlying these observations in patients. However, because simultaneous assessment of multiple subregions is not always feasible (e.g. using calcium imaging), post-mortem immunohistochemical analyses examining the distribution of specific cell types (e.g. interneuron subtypes or microglia) and neural activity indices (e.g. immediate early gene activation) can be valuable for selecting candidate PFC subregions for detailed in vivo characterisation.

3. Mechanistic studies to test causality

Guided by detailed characterisation of the PFC, mechanistic studies can establish causal links between gene expression changes, cell and circuit dysfunction, and behaviours relevant to OCD. We have provided a number of examples of how cell type and circuit-specific control of gene expression and neural activity can be used to understand specific neural mechanisms in the PFC that underlie distinct aspects of cognition (Table 2). Mechanistic insight provided by these studies may highlight candidates for the development of targeted treatment strategies, including pharmacotherapy aimed at specific molecular disturbances or stimulation approaches to target impaired circuits and subregions that are causally linked to behavioural dysfunction relevant to OCD.

Summary

Harnessing the strengths of preclinical models for mechanistic dissection can provide critical details that cannot be inferred from studies in human subjects. Building on the success of mechanistic studies in preclinical models focused on the role of the striatum, clinically relevant paradigms will help to guide studies of PFC contributions to behavioural dysfunction in OCD. Insight into how pathological changes in PFC functioning lead to abnormal behaviour is necessary to develop a foundation for targeting the PFC with novel therapeutic approaches, given the complexity of the changes that have been described in clinical neuroimaging studies in OCD patients.

Footnotes

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

BRAINS R01 MH104255, McKnight Neuroscience Scholar Award, MQ Fellows Award, Burroughs Wellcome Fund CAMS Award, and Klingenstein Fellowship in the Neurosciences.

ORCID iD

Elizabeth E. Manning

References

Ade

Wan

Hamann

et al . (2016) Increased metabotropic glutamate receptor 5 signaling underlies obsessive-compulsive disorder-like behavioral and striatal circuit abnormalities in mice. Biological Psychiatry 80: 522–533.

Ahmari

Dougherty

(2015) Dissecting OCD circuits: From animal models to targeted treatments. Depression and Anxiety 32: 550–562.

Ahmari

Eich

Cebenoyan

et al . (2014) Assessing neurocognitive function in psychiatric disorders: A roadmap for enhancing consensus. Neurobiology of Learning and Memory 115: 10–20.

Ahmari

Spellman

Douglass

et al . (2013) Repeated cortico-striatal stimulation generates persistent OCD-like behavior. Science 340: 1234–1239.

Aida

Yoshida

Nomura

et al . (2015) Astroglial glutamate transporter deficiency increases synaptic excitability and leads to pathological repetitive behaviors in mice. Neuropsychopharmacology 40: 1569–1579.

Alexander

DeLong

Strick

(1986) Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Annual Review of Neuroscience 9: 357–381.

Alexander

Rogan

Abbas

et al . (2009) Remote control of neuronal activity in transgenic mice expressing evolved G protein-coupled receptors. Neuron 63: 27–39.

Mataix-Cols

Lawrence

et al . (2009) To discard or not to discard: The neural basis of hoarding symptoms in obsessive-compulsive disorder. Molecular Psychiatry 14: 318–331.

Apergis-Schoute

Gillan

Fineberg

et al . (2017) Neural basis of impaired safety signaling in obsessive compulsive disorder. Proceedings of the National Academy of Sciences of the United States of America 114: 3216–3221.

10.

Baldan Ramsey

Wood

et al . (2011) Lesions of the dorsomedial striatum disrupt prepulse inhibition. Neuroscience 180: 222–228.

11.

Baxter

Jr Phelps

Mazziotta

et al . (1987) Local cerebral glucose metabolic rates in obsessive-compulsive disorder. A comparison with rates in unipolar depression and in normal controls. Archives of General Psychiatry 44: 211–218.

12.

Benkelfat

Nordahl

Semple

et al . (1990) Local cerebral glucose metabolic rates in obsessive-compulsive disorder. Patients treated with clomipramine. Archives of General Psychiatry 47: 840–848.

13.

Berendse

Groenewegen

Lohman

(1992) Compartmental distribution of ventral striatal neurons projecting to the mesencephalon in the rat. Journal of Neuroscience 12: 2079–2103.

14.

Bienvenu

Wang

Shugart

et al . (2009) Sapap3 and pathological grooming in humans: Results from the OCD collaborative genetics study. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 150: 710–720.

15.

Bolkan

Stujenske

Parnaudeau

et al . (2017) Thalamic projections sustain prefrontal activity during working memory maintenance. Nature Neuroscience 20: 987–996.

16.

Boyden

Zhang

Bamberg

et al . (2005) Millisecond-timescale, genetically targeted optical control of neural activity. Nature Neuroscience 8: 1263–1268.

17.

Branda

Dymecki

(2004) Talking about a revolution: The impact of site-specific recombinases on genetic analyses in mice. Developmental Cell 6: 7–28.

18.

Breiter

Rauch

Kwong

et al . (1996) Functional magnetic resonance imaging of symptom provocation in obsessive-compulsive disorder. Archives of General Psychiatry 53: 595–606.

19.

Burguiere

Monteiro

Feng

et al . (2013) Optogenetic stimulation of lateral orbitofronto-striatal pathway suppresses compulsive behaviors. Science 340: 1243–1246.

20.

Cai

Aharoni

Shuman

et al . (2016) A shared neural ensemble links distinct contextual memories encoded close in time. Nature 534: 115–118.

21.

Carlen

(2017) What constitutes the prefrontal cortex? Science 358: 478–482.

22.

Chamberlain

Fineberg

Blackwell

et al . (2006) Motor inhibition and cognitive flexibility in obsessive-compulsive disorder and trichotillomania. American Journal of Psychiatry 163: 1282–1284.

23.

Chamberlain

Fineberg

Blackwell

et al . (2007) A neuropsychological comparison of obsessive-compulsive disorder and trichotillomania. Neuropsychologia 45: 654–662.

24.

Chamberlain

Menzies

Hampshire

et al . (2008) Orbitofrontal dysfunction in patients with obsessive-compulsive disorder and their unaffected relatives. Science 321: 421–422.

25.

Chen

Tvrdik

Peden

et al . (2010) Hematopoietic origin of pathological grooming in Hoxb8 mutant mice. Cell 141: 775–785.

26.

Chen

Wardill

Sun

et al . (2013) Ultrasensitive fluorescent proteins for imaging neuronal activity. Nature 499: 295–300.

27.

Cho

Hoch

Lee

et al . (2015) Gamma rhythms link prefrontal interneuron dysfunction with cognitive inflexibility in Dlx5/6(+/–) mice. Neuron 85: 1332–1343.

28.

Cohen

Haesler

Vong

et al . (2012) Neuron-type-specific signals for reward and punishment in the ventral tegmental area. Nature 482: 85–88.

29.

Courtin

Chaudun

Rozeske

et al . (2014) Prefrontal parvalbumin interneurons shape neuronal activity to drive fear expression. Nature 505: 92–96.

30.

Cui

Jun

Jin

et al . (2013) Concurrent activation of striatal direct and indirect pathways during action initiation. Nature 494: 238–242.

31.

Cui

Jun

Jin

et al . (2014) Deep brain optical measurements of cell type-specific neural activity in behaving mice. Nat Protoc 9: 1213–1228.

32.

Davis

Keenan

et al . (2013) Partitioning the heritability of Tourette syndrome and obsessive compulsive disorder reveals differences in genetic architecture. PLoS Genetics 9: e1003864.

33.

Del Casale

Kotzalidis

Rapinesi

et al . (2011) Functional neuroimaging in obsessive-compulsive disorder. Neuropsychobiology 64: 61–85.

34.

Dougherty

Chou

Corse

et al . (2016) Acute deep brain stimulation changes in regional cerebral blood flow in obsessive-compulsive disorder. Journal of Neurosurgery 125: 1087–1093.

35.

Dvorkin

Silva

McMurran

et al . (2010) Features of compulsive checking behavior mediated by nucleus accumbens and orbital frontal cortex. European Journal of Neuroscience 32: 1552–1563.

36.

Eagle

Noschang

d’Angelo

et al . (2014) The dopamine D2/D3 receptor agonist quinpirole increases checking-like behaviour in an operant observing response task with uncertain reinforcement: A novel possible model of OCD. Behavioural Brain Research 264: 207–229.

37.

Eisen

Sibrava

Boisseau

et al . (2013) Five-year course of obsessive-compulsive disorder: Predictors of remission and relapse. Journal of Clinical Psychiatry 74: 233–239.

38.

Figee

Luigjes

Smolders

et al . (2013) Deep brain stimulation restores frontostriatal network activity in obsessive-compulsive disorder. Nature Neuroscience 16: 386–387.

39.

Fitzgerald

Welsh

Gehring

et al . (2005) Error-related hyperactivity of the anterior cingulate cortex in obsessive-compulsive disorder. Biological Psychiatry 57: 287–294.

40.

Flaisher-Grinberg

Klavir

Joel

(2008) The role of 5-HT2A and 5-HT2C receptors in the signal attenuation rat model of obsessive-compulsive disorder. International Journal of Neuropsychopharmacology 11: 811–825.

41.

Gamo

Lur

Higley

et al . (2015) Stress impairs prefrontal cortical function via D1 dopamine receptor interactions with hyperpolarization-activated cyclic nucleotide-gated channels. Biological Psychiatry 78: 860–870.

42.

Ghosh

Burns

Cocker

et al . (2011) Miniaturized integration of a fluorescence microscope. Nat Methods 8: 871–878.

43.

Gillan

Apergis-Schoute

Morein-Zamir

et al . (2015) Functional neuroimaging of avoidance habits in obsessive-compulsive disorder. American Journal of Psychiatry 172: 284–293.

44.

Gillan

Morein-Zamir

Kaser

et al . (2014a) Counterfactual processing of economic action-outcome alternatives in obsessive-compulsive disorder: Further evidence of impaired goal-directed behavior. Biological Psychiatry 75: 639–646.

45.

Gillan

Morein-Zamir

Urcelay

et al . (2014b) Enhanced avoidance habits in obsessive-compulsive disorder. Biological Psychiatry 75: 631–638.

46.

Gillan

Papmeyer

Morein-Zamir

et al . (2011) Disruption in the balance between goal-directed behavior and habit learning in obsessive-compulsive disorder. American Journal of Psychiatry 168: 718–726.

47.

Gottwald

de Wit

Apergis-Schoute

et al . (2018) Impaired cognitive plasticity and goal-directed control in adolescent obsessive-compulsive disorder. Psychological Medicine 22: 1–9.

48.

Greenberg

Malone

Friehs

et al . (2006) Three-year outcomes in deep brain stimulation for highly resistant obsessive-compulsive disorder. Neuropsychopharmacology 31: 2384–2393.

49.

Greer

Capecchi

(2002) Hoxb8 is required for normal grooming behavior in mice. Neuron 33: 23–34.

50.

Gremel

Chancey

Atwood

et al . (2016) Endocannabinoid modulation of orbitostriatal circuits gates habit formation. Neuron 90: 1312–1324.

51.

Gross-Isseroff

Cohen

Sasson

et al . (2004) Serotonergic dissection of obsessive compulsive symptoms: A challenge study with m-chlorophenylpiperazine and sumatriptan. Neuropsychobiology 50: 200–205.

52.

Gruner

Pittenger

(2017) Cognitive inflexibility in obsessive-compulsive disorder. Neuroscience 345: 243–255.

53.

Park

Kang

et al . (2008) Neural correlates of cognitive inflexibility during task-switching in obsessive-compulsive disorder. Brain 131: 155–164.

54.

Gunaydin

Grosenick

Finkelstein

et al . (2014) Natural neural projection dynamics underlying social behavior. Cell 157: 1535–1551.

55.

Haber

(2003) The primate basal ganglia: Parallel and integrative networks. Journal of Chemical Neuroanatomy 26: 317–330.

56.

Haber

(2016) Corticostriatal circuitry. Dialogues in Clinical Neuroscience 18: 7–21.

57.

Harrison

Pujol

Cardoner

et al . (2013) Brain corticostriatal systems and the major clinical symptom dimensions of obsessive-compulsive disorder. Biological Psychiatry 73: 321–328.

58.

Harrison

Soriano-Mas

Pujol

et al . (2009) Altered corticostriatal functional connectivity in obsessive-compulsive disorder. Archives of General Psychiatry 66: 1189–1200.

59.

Heidenreich

Zhang

(2016) Applications of CRISPR-Cas systems in neuroscience. Nature Reviews Neuroscience 17: 36–44.

60.

Heilbronner

Rodriguez-Romaguera

Quirk

et al . (2016) Circuit-based corticostriatal homologies between rat and primate. Biological Psychiatry 80: 509–521.

61.

International Obsessive Compulsive Disorder Foundation Genetics Collaborative (IOCDF-GC) and OCD Collaborative Genetics Association Studies (OCGAS) (2018) Revealing the complex genetic architecture of obsessive-compulsive disorder using meta-analysis. Molecular Psychiatry 23: 1181–1188.

62.

Izquierdo

(2017) Functional heterogeneity within rat orbitofrontal cortex in reward learning and decision making. Journal of Neuroscience 37: 10529–10540.

63.

Jaafari

Frasca

Rigalleau

et al . (2013) Forgetting what you have checked: A link between working memory impairment and checking behaviors in obsessive-compulsive disorder. European Psychiatry 28: 87–93.

64.

Joel

Avisar

(2001) Excessive lever pressing following post-training signal attenuation in rats: A possible animal model of obsessive compulsive disorder? Behavioural Brain Research 123: 77–87.

65.

Joel

Doljansky

Schiller

(2005) ‘Compulsive’ lever pressing in rats is enhanced following lesions to the orbital cortex, but not to the basolateral nucleus of the amygdala or to the dorsal medial prefrontal cortex. European Journal of Neuroscience 21: 2252–2262.

66.

Kalueff

Stewart

Song

et al . (2016) Neurobiology of rodent self-grooming and its value for translational neuroscience. Nature Reviews Neuroscience 17: 45–59.

67.

Kim

Adhikari

Deisseroth

(2017) Integration of optogenetics with complementary methodologies in systems neuroscience. Nature Reviews Neuroscience 18: 222–235.

68.

Kim

Ahrlund-Richter

Wang

et al . (2016) Prefrontal parvalbumin neurons in control of attention. Cell 164: 208–218.

69.

Koch

Wagner

Schachtzabel

et al . (2012) Aberrant anterior cingulate activation in obsessive-compulsive disorder is related to task complexity. Neuropsychologia 50: 958–964.

70.

Krabbe

Minami

Etchegaray

et al . (2017) Microglial NFkappaB-TNFalpha hyperactivation induces obsessive-compulsive behavior in mouse models of progranulin-deficient frontotemporal dementia. Proceedings of the National Academy of Sciences of the United States of America 114: 5029–5034.

71.

Kremer

Boutin

Chillon

et al . (2000) Canine adenovirus vectors: An alternative for adenovirus-mediated gene transfer. Journal of Virology 74: 505–512.

72.

Kvitsiani

Ranade

Hangya

et al . (2013) Distinct behavioural and network correlates of two interneuron types in prefrontal cortex. Nature 498: 363–366.

73.

Lawrence

Mataix-Cols

et al . (2007) Neural responses to facial expressions of disgust but not fear are modulated by washing symptoms in OCD. Biological Psychiatry 61: 1072–1080.

74.

Lima

Hromadka

Znamenskiy

et al . (2009) PINP: a new method of tagging neuronal populations for identification during in vivo electrophysiological recording. PLoS One 4: e6099.

75.

Lochner

Fineberg

Zohar

et al . (2014) Comorbidity in obsessive-compulsive disorder (OCD): A report from the International College of Obsessive-Compulsive Spectrum Disorders (ICOCS). Comprehensive Psychiatry 55: 1513–1519.

76.

McCracken

Grace

(2007) High-frequency deep brain stimulation of the nucleus accumbens region suppresses neuronal activity and selectively modulates afferent drive in rat orbitofrontal cortex in vivo. Journal of Neuroscience 27: 12601–12610.

77.

McCracken

Grace

(2009) Nucleus accumbens deep brain stimulation produces region-specific alterations in local field potential oscillations and evoked responses in vivo. Journal of Neuroscience 29: 5354–5363.

78.

Mahgoub

Adachi

Suzuki

et al . (2016) MeCP2 and histone deacetylases 1 and 2 in dorsal striatum collectively suppress repetitive behaviors. Nature Neuroscience 19: 1506–1512.

79.

Mailly

Aliane

Groenewegen

et al . (2013) The rat prefrontostriatal system analyzed in 3D: Evidence for multiple interacting functional units. Journal of Neuroscience 33: 5718–5727.

80.

Mattheisen

Samuels

Wang

et al . (2015) Genome-wide association study in obsessive-compulsive disorder: Results from the OCGAS. Molecular Psychiatry 20: 337–344.

81.

Meier

Mattheisen

Mors

et al . (2016) Mortality among persons with obsessive-compulsive disorder in Denmark. JAMA Psychiatry 73: 268–274.

82.

Menzies

Achard

Chamberlain

et al . (2007) Neurocognitive endophenotypes of obsessive-compulsive disorder. Brain 130: 3223–3236.

83.

Milad

Furtak

Greenberg

et al . (2013) Deficits in conditioned fear extinction in obsessive-compulsive disorder and neurobiological changes in the fear circuit. JAMA Psychiatry 70: 608–618; quiz 554.

84.

Monteiro

Feng

(2016) Learning from animal models of obsessive-compulsive disorder. Biological Psychiatry 79: 7–16.

85.

Murray

CJL

Lopez

(1996) The Global Burden of Disease: A Comprehensive Assessment of Mortality and Disability from Diseases, Injuries, and Risk Factors in 1990 and Projected to 2020. Cambridge, MA: Harvard School of Public Health.

86.

Nagarajan

Jones

West

et al . (2017) Corticostriatal circuit defects in Hoxb8 mutant mice. Molecular Psychiatry. Epub ahead of print 26 September 2017. DOI: 10.1038/mp.2017.180.

87.

Nakao

Nakagawa

Yoshiura

et al . (2005) Brain activation of patients with obsessive-compulsive disorder during neuropsychological and symptom provocation tasks before and after symptom improvement: A functional magnetic resonance imaging study. Biological Psychiatry 57: 901–910.

88.

Ozomaro

Cai

Kajiwara

et al . (2013) Characterization of SLITRK1 variation in obsessive-compulsive disorder. PLoS ONE 8: e70376.

89.

Parnaudeau

Taylor

Bolkan

et al . (2015) Mediodorsal thalamus hypofunction impairs flexible goal-directed behavior. Biological Psychiatry 77: 445–453.

90.

Perani

Colombo

Bressi

et al . (1995) [18F]FDG PET study in obsessive-compulsive disorder. A clinical/metabolic correlation study after treatment. British Journal of Psychiatry 166: 244–250.

91.

Perez-Vigil

Fernandez de la Cruz

Brander

et al . (2018) Association of obsessive-compulsive disorder with objective indicators of educational attainment: A nationwide register-based sibling control study. JAMA Psychiatry 75: 47–55.

92.

Pittenger

Adams

Jr Gallezot

et al . (2016) OCD is associated with an altered association between sensorimotor gating and cortical and subcortical 5-HT1b receptor binding. Journal of Affective Disorders 196: 87–96.

93.

Pogorelov

Smith

et al . (2015) Corticostriatal interactions in the generation of tic-like behaviors after local striatal disinhibition. Experimental Neurology 265: 122–128.

94.

Posner

Marsh

Maia

et al . (2014) Reduced functional connectivity within the limbic cortico-striato-thalamo-cortical loop in unmedicated adults with obsessive-compulsive disorder. Human Brain Mapping 35: 2852–2860.

95.

Povysheva

Zaitsev

Rotaru

et al . (2008) Parvalbumin-positive basket interneurons in monkey and rat prefrontal cortex. Journal of Neurophysiology 100: 2348–2360.

96.

Rapanelli

Frick

Bito

et al . (2017a) Histamine modulation of the basal ganglia circuitry in the development of pathological grooming. Proceedings of the National Academy of Sciences of the United States of America 114: 6599–6604.

97.

Rapanelli

Frick

et al . (2017b) Targeted interneuron depletion in the dorsal striatum produces autism-like behavioral abnormalities in male but not female mice. Biological Psychiatry 82: 194–203.

98.

Rauch

Dougherty

Malone

et al . (2006) A functional neuroimaging investigation of deep brain stimulation in patients with obsessive-compulsive disorder. Journal of Neurosurgery 104: 558–565.

99.

Rauch

Jenike

Alpert

et al . (1994) Regional cerebral blood flow measured during symptom provocation in obsessive-compulsive disorder using oxygen 15-labeled carbon dioxide and positron emission tomography. Archives of General Psychiatry 51: 62–70.

100.

Reardon

Murray

Turi

et al . (2016) Rabies virus CVS-N2c(DeltaG) strain enhances retrograde synaptic transfer and neuronal viability. Neuron 89: 711–724.

101.

Remijnse

Nielen

van Balkom

et al . (2006) Reduced orbitofrontal-striatal activity on a reversal learning task in obsessive-compulsive disorder. Archives of General Psychiatry 63: 1225–1236.

102.

Remijnse

Nielen

van Balkom

et al . (2009) Differential frontal-striatal and paralimbic activity during reversal learning in major depressive disorder and obsessive-compulsive disorder. Psychological Medicine 39: 1503–1518.

103.

Remijnse

van den Heuvel

Nielen

et al . (2013) Cognitive inflexibility in obsessive-compulsive disorder and major depression is associated with distinct neural correlates. PLoS ONE 8: e59600.

104.

Remmelink

Chau

Smit

et al . (2017) A one-week 5-choice serial reaction time task to measure impulsivity and attention in adult and adolescent mice. Scientific Reports 7: 42519.

105.

Remmelink

Smit

Verhage

et al . (2016) Measuring discrimination- and reversal learning in mouse models within 4 days and without prior food deprivation. Learning & Memory 23: 660–667.

106.

Rodriguez-Romaguera

Do Monte

Quirk

(2012) Deep brain stimulation of the ventral striatum enhances extinction of conditioned fear. Proceedings of the National Academy of Sciences of the United States of America 109: 8764–8769.

107.

Rodriguez-Romaguera

Do-Monte

Tanimura

et al . (2015) Enhancement of fear extinction with deep brain stimulation: Evidence for medial orbitofrontal involvement. Neuropsychopharmacology 40: 1726–1733.

108.

Rodriguez-Romaguera

Greenberg

Rasmussen

et al . (2016) An avoidance-based rodent model of exposure with response prevention therapy for obsessive-compulsive disorder. Biological Psychiatry 80: 534–540.

109.

Saxena

Brody

Maidment

et al . (1999) Localized orbitofrontal and subcortical metabolic changes and predictors of response to paroxetine treatment in obsessive-compulsive disorder. Neuropsychopharmacology 21: 683–693.

110.

Schilman

Klavir

Winter

et al . (2010) The role of the striatum in compulsive behavior in intact and orbitofrontal-cortex-lesioned rats: Possible involvement of the serotonergic system. Neuropsychopharmacology 35: 1026–1039.

111.

Schilman

Uylings

Galis-de Graaf

et al . (2008) The orbital cortex in rats topographically projects to central parts of the caudate-putamen complex. Neuroscience Letters 432: 40–45.

112.

Shanahan

Holick Pierz

Masten

et al . (2009) Chronic reductions in serotonin transporter function prevent 5-HT1B-induced behavioral effects in mice. Biological Psychiatry 65: 401–408.

113.

Shanahan

Velez

Masten

et al . (2011) Essential role for orbitofrontal serotonin 1B receptors in obsessive-compulsive disorder-like behavior and serotonin reuptake inhibitor response in mice. Biological Psychiatry 70: 1039–1048.

114.

Shmelkov

Hormigo

Jing

et al . (2010) Slitrk5 deficiency impairs corticostriatal circuitry and leads to obsessive-compulsive-like behaviors in mice. Nature Medicine 16: 598–602, 1p following 602.

115.

Smaers

Gomez-Robles

Parks

et al . (2017) Exceptional evolutionary expansion of prefrontal cortex in great apes and humans. Current Biology 27: 714–720.

116.

Smith

Bucci

Luikart

et al . (2016) DREADDs: Use and application in behavioral neuroscience. Behavioral Neuroscience 130: 137–155.

117.

Snyder

Kaiser

Warren

et al . (2015) Obsessive-compulsive disorder is associated with broad impairments in executive function: A meta-analysis. Clinical Psychological Science 3: 301–330.

118.

Song

Mathews

Stewart

et al . (2017) Rare synaptogenesis-impairing mutations in SLITRK5 are associated with obsessive compulsive disorder. PLoS ONE 12: e0169994.

119.

Spellman

Rigotti

Ahmari

et al . (2015) Hippocampal-prefrontal input supports spatial encoding in working memory. Nature 522: 309–314.

120.

Stein

Van Heerden

Wessels

et al . (1999) Single photon emission computed tomography of the brain with Tc-99m HMPAO during sumatriptan challenge in obsessive-compulsive disorder: Investigating the functional role of the serotonin auto-receptor. Progress in Neuro-Psychopharmacology & Biological Psychiatry 23: 1079–1099.

121.

Stewart

Scharf

et al . (2013) Genome-wide association study of obsessive-compulsive disorder. Molecular Psychiatry 18: 788–798.

122.

Szechtman

Ahmari

Beninger

et al . (2017) Obsessive-compulsive disorder: Insights from animal models. Neuroscience & Biobehavioral Reviews 76: 254–279.

123.

Tanaka

Ahmari

Leonardo

et al . (2010) Flexible accelerated STOP tetracycline operator-knockin (FAST): A versatile and efficient new gene modulating system. Biological Psychiatry 67: 770–773.

124.

Taylor

(2011) Etiology of obsessions and compulsions: A meta-analysis and narrative review of twin studies. Clinical Psychology Review 31: 1361–1372.

125.

Tervo

Hwang

Viswanathan

et al . (2016) A designer AAV variant permits efficient retrograde access to projection neurons. Neuron 92: 372–382.

126.

Ting

Feng

(2011) Neurobiology of obsessive-compulsive disorder: Insights into neural circuitry dysfunction through mouse genetics. Current Opinion in Neurobiology 21: 842–848.

127.

Ugolini

Kuypers

Simmons

(1987) Retrograde transneuronal transfer of herpes simplex virus type 1 (HSV 1) from motoneurones. Brain Research 422: 242–256.

128.

Ullrich

Weber

Post

et al . (2018) OCD-like behavior is caused by dysfunction of thalamo-amygdala circuits and upregulated TrkB/ERK-MAPK signaling as a result of SPRED2 deficiency. Molecular Psychiatry 23: 444–458.

129.

Urban

Zhu

Marcinkiewcz

et al . (2016) Elucidation of the behavioral program and neuronal network encoded by dorsal raphe serotonergic neurons. Neuropsychopharmacology 41: 1404–1415.

130.

Uylings

HBM

Groenewegen

Kolb

(2003) Do rats have a prefrontal cortex? Behavioural Brain Research 146: 3–17.

131.

Vaghi

Hampshire

Fineberg

et al . (2017a) Hypoactivation and dysconnectivity of a frontostriatal circuit during goal-directed planning as an endophenotype for obsessive-compulsive disorder. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2: 655–663.

132.

Vaghi

Vertes

Kitzbichler

et al . (2017b) Specific frontostriatal circuits for impaired cognitive flexibility and goal-directed planning in obsessive-compulsive disorder: Evidence from resting-state functional connectivity. Biological Psychiatry 81: 708–717.

133.

Van De Werd

Uylings

(2014) Comparison of (stereotactic) parcellations in mouse prefrontal cortex. Brain Structure and Function 219: 433–459.

134.

Van De Werd

Rajkowska

Evers

et al . (2010) Cytoarchitectonic and chemoarchitectonic characterization of the prefrontal cortical areas in the mouse. Brain Structure and Function 214: 339–353.

135.

Van den Heuvel

Veltman

Groenewegen

et al . (2005) Frontal-striatal dysfunction during planning in obsessive-compulsive disorder. Archives of General Psychiatry 62: 301–309.

136.

Van der Straten

Denys

van Wingen

(2017) Impact of treatment on resting cerebral blood flow and metabolism in obsessive compulsive disorder: A meta-analysis. Scientific Reports 7: 17464.

137.

Wallis

(2011) Cross-species studies of orbitofrontal cortex and value-based decision-making. Nature Neuroscience 15: 13–19.

138.

Wang

Ramos

Paspalas

et al . (2007) Alpha2A-adrenoceptors strengthen working memory networks by inhibiting cAMP-HCN channel signaling in prefrontal cortex. Cell 129: 397–410.

139.

Wang

Chen

Yang

(2012) Spatiotemporal control of gene expression by a light-switchable transgene system. Nature Methods 9: 266–269.

140.

Welch

Rodriguiz

et al . (2007) Cortico-striatal synaptic defects and OCD-like behaviours in Sapap3-mutant mice. Nature 448: 894–900.

141.

Wendland

Kruse

Murphy

(2006) Functional SLITRK1 var321, varCDfs and SLC6A4 G56A variants and susceptibility to obsessive-compulsive disorder. Molecular Psychiatry 11: 802–804.

142.

Wise

(2008) Forward frontal fields: Phylogeny and fundamental function. Trends in Neurosciences 31: 599–608.

143.

Wright

Nunez

Doudna

(2016) Biology and applications of CRISPR systems: Harnessing nature’s toolbox for genome engineering. Cell 164: 29–44.

144.

Hanna

Rosenberg

et al . (2012) The role of glutamate signaling in the pathogenesis and treatment of obsessive-compulsive disorder. Pharmacology Biochemistry and Behavior 100: 726–735.

145.

Marshall

Fernandes

et al . (2017) Complete disruption of the kainate receptor gene family results in corticostriatal dysfunction in mice. Cell Reports 18: 1848–1857.

146.

Kobets

et al . (2015) Targeted ablation of cholinergic interneurons in the dorsolateral striatum produces behavioral manifestations of Tourette syndrome. Proceedings of the National Academy of Sciences of the United States of America 112: 893–898.

147.

Yizhar

Fenno

Prigge

et al . (2011) Neocortical excitation/inhibition balance in information processing and social dysfunction. Nature 477: 171–178.

148.

Zhou

Liu

Zhou

et al . (2018) In vivo simultaneous transcriptional activation of multiple genes in the brain using CRISPR-dCas9-activator transgenic mice. Nature Neuroscience 21: 440–446.

149.

Zike

Hong

et al . (2017a) Rodent models of obsessive compulsive disorder: Evaluating validity to interpret emerging neurobiology. Neuroscience 345: 256–273.

150.

Zike

Chohan

Kopelman

et al . (2017b) OCD candidate gene SLC1A1/EAAT3 impacts basal ganglia-mediated activity and stereotypic behavior. Proceedings of the National Academy of Sciences of the United States of America 114: 5719–5724.

151.

Zimmermann

Yamin

Rainnie

et al . (2017) Connections of the mouse orbitofrontal cortex and regulation of goal-directed action selection by brain-derived neurotrophic factor. Biological Psychiatry 81: 366–377.

152.

Zuchner

Wendland

Ashley-Koch

et al . (2009) Multiple rare SAPAP3 missense variants in trichotillomania and OCD. Molecular Psychiatry 14: 6–9.

How can preclinical mouse models be used to gain insight into prefrontal cortex dysfunction in obsessive-compulsive disorder?

Abstract

Keywords

Overview: prefrontal cortex dysfunction in obsessive-compulsive disorder

Preclinical OCD research

Overview of OCD-relevant mouse experimental systems

Compulsive grooming and striatal dysfunction in mouse models

Studying PFC dysfunction in preclinical mouse models

Consideration of PFC homology between rodent and primate

All rodents are not created equal

OCD-relevant behavioural paradigms for probing PFC functioning in preclinical models

Development of paradigms in rats for the assessment of OCD-relevant compulsive responding

Translatable neurocognitive paradigms that are consistently abnormal in OCD

Advanced neuroscience approaches for gaining mechanistic insight into PFC dysfunction in OCD

Tools for precisely manipulating gene expression

Tools for manipulating and recording neural activity

Framework for integrating advanced neuroscience approaches to gain translationally relevant insight about the PFC in OCD

Studies linking neural activity in the PFC to specific aspects of cognitive functioning that are impacted in OCD

Framework for applying this approach in preclinical OCD-relevant models

Summary

Footnotes

Declaration of conflicting interests

Funding

ORCID iD

References