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Abstract

Background:

Posterior cortical atrophy (PCA) is a rare neurodegenerative syndrome characterized by early progressive visual dysfunction in the context of relative preservation of memory and a pattern of atrophy mainly involving the posterior cortex. The aim of the present study is to characterize the neuropsychiatric profile of PCA.

Methods:

The Neuropsychiatric Inventory was used to assess 12 neuropsychiatric symptoms (NPS) in 28 patients with PCA and 34 patients with typical Alzheimer disease (AD) matched by age, disease duration, and illness severity.

Results:

The most commonly reported NPS in both groups were depression, anxiety, apathy, and irritability. However, aside from a trend toward lower rates of apathy in patients with PCA, there were no differences in the percentage of NPS presented in each group. All those patients presenting visual hallucinations in the PCA group also met diagnostic criteria for dementia with Lewy bodies (DLB). Auditory hallucinations were only present in patients meeting diagnosis criteria for DLB.

Conclusion:

Prevalence of the 12 NPS examined was similar between patients with PCA and AD. Hallucinations in PCA may be helpful in the differential diagnosis between PCA-AD and PCA-DLB.

Keywords

neuropsychiatric symptoms posterior cortical atrophy neuropsychiatric inventory visual hallucinations

Introduction

Posterior cortical atrophy (PCA) is a neurodegenerative syndrome characterized by progressive impairment of visual functions in the absence of visual acuity deficits and a pattern of atrophy involving parietal, occipital, and occipitotemporal cortex.^1,2 Posterior cortical atrophy is considered the most common atypical presentation of Alzheimer disease (AD).^3
-5 Contrary to typical AD, episodic memory and insight are relatively preserved in the initial stages of the disease, while reading, object recognition, navigational orientation, and praxis are early affected. Other posterior symptoms, such as elements of Balint (simultanagnosia, optic ataxia, and ocular apraxia) and Gertsmann syndrome (agraphia, acalculia, finger agnosia, and right–left confusion), are also frequent. The syndrome is usually caused by AD pathology and less frequently by dementia with Lewy bodies (DLB), corticobasal degeneration, prion associated disease, and subcortical gliosis.^3,6
-8

A number of studies have focused on characterizing the cognitive and language profile, brain atrophy pattern, genetics, and possible therapeutic strategies in PCA^{6,9

-17}; however, little is known about its neuropsychiatric profile.¹⁸ Neuropsychiatric symptoms (NPS) are variably associated with the severity of cognitive decline in a number of neurodegenerative conditions^19

-22 and have an impact in patient’s quality of life, caregiver distress, and likelihood of institutionalization. By improving our understanding of NPS in PCA, we aim to contribute to (1) improving diagnosis and prognosis, (2) providing a more comprehensive picture of the evolution of clinical symptoms and associated problems across the course of the disease, and (3) planning and delivering effective support and psychoeducational training for caregivers.

The main goal of the present study is to characterize the neuropsychiatric profile of PCA. We aim to do so by (1) describing the differences in the NPS between PCA and AD and (2) investigating the relationship between NPS, age at onset, and cognitive impairment in PCA.

Methods

Participants were 28 patients with PCA and a convenience control sample of 34 patients with typical AD diagnosed at the Memory Disorders Unit of the Hospital Virgen del Rocio. Patients with PCA fulfilled current available clinical criteria⁶ comprising insidious onset and gradual progression, presentation of disabling visual complaints in the absence of significant primary ocular disease explaining the symptoms, and relative preservation of anterograde memory and insight early in the disorder. Patients with typical AD met diagnosis criteria for probable AD.^23,24 Exclusion criteria included severe global cognitive impairment (defined by patient inability to undertake the cognitive assessment) and significant ischemic burden (scoring 1 or more on the Fazekas scale²⁵). The local institutional review board approved this protocol.

In addition to standard demographic and clinical data, all patients and their relatives completed the 12-item Neuropsychiatric Inventory (NPI), a questionnaire that evaluates the presence, frequency, and severity of 10 different behavioral areas (delusions, hallucinations, agitation, depression, anxiety, euphoria, apathy, disinhibition, irritability, and abnormal motor behavior) and 2 neurovegetative areas (sleep and nighttime behavior disorders and appetite and eating disorders) over the past month.²⁶ For the purpose of this study, only presence and not frequency or severity of NPS has been examined. Neuropsychological assessment consisted of tests of global cognitive function (Mini-Mental State Examination [MMSE]), executive function (phonemic and semantic verbal fluency²⁷), memory (word list immediate recall and recognition²⁸), language (Boston Naming Test²⁹ and verbal/written comprehension²⁷), and visuoperceptual and spatial function (Visual Object and Space Perception Battery).³⁰

Three of the patients with PCA received a diagnosis of probable DLB³¹ at follow-up, more than 4 years after initial diagnosis and after having developed fluctuations, visual hallucinations (VH) or parkinsonism, and presenting low dopamine transporter uptake in basal ganglia demonstrated by DAT SPECT scan (¹²³I-FP-CIT DATscan, GE Healthcare; patients present with 2 core features and a suggestive feature or one core feature and a suggestive feature). The NPI values of these individuals were collected within 6 months of the date of the SPECT. As the aim of the present study was to examine the neuropsychiatry of the PCA spectrum, these patients remained included in the set, avoiding the potential bias that would result from their exclusion in the overall analysis.

Chi-square or Fisher exact test was used for the analysis of dichotomous variables, while unpaired t test and Mann Whitney U were used for continuous variables depending whether or not they followed a normal distribution. A Spearman rank correlation coefficient was used to assess the relationship between cognitive performances and the occurrence of NPS.

Results

The demographic and clinical characteristics of the PCA and AD groups, as well as neuropsychological performances of the PCA group, are summarized in Table 1. Samples were matched for age, illness duration (from symptoms onset), and severity of cognitive decline (MMSE). There were no differences in the proportion of patients receiving related medication (cholinesterase inhibitors, antipsychotics, antidepressants, and benzodiazepines).

Table 1.

Demographic and Clinical Characteristics of the Study Groups.^a

	PCA (n = 28)	AD (n = 34 )	P Value
Gender, female, n (%)	15 (53)	22 (64)	.37^b
Age, y, mean ± SD	64 ± 6.7 [54-79]	66 ± 6.9 [53-79]	.16^c
Disease duration, y, mean ± SD [range]	4 ± 2.8 [1-13]	4 ± 2.4 [1-10]	.47^d
Age at onset, y, mean ± SD [range]	59 ± 7.4 [42-75]	62 ± 8.5 [43-78]	.14^c
Percentage onset ≤ 65 years	82% (23/28)	61% (21/34)	.079^b
Cholinesterase inhibitors, n (%)	26 (92)	31 (91)	.80^b
Anti-psychotics, n (%)	1 (3)	0	.45^e
Antidepressants, n (%)	6 (21)	3 (8)	.27^e
Benzodiazepines, n (%)	1 (3)	0	.45^e
MMSE (max. 30), mean ± SD	13 ± 4.5 [5-22]	14 ± 3.8 [6-22]	.57^c
Neuropsychology data
Phonemic fluency	8 ± 7.4	–
Semantic fluency	3 ± 3.5	–
Word list immediate (WMS-R)	6 ± 6.2	–
Word list recognition (WMS-R)	10 ± 5.3	–
Naming (Brief BNT)	8 ± 3.9	–
Comprehension: spoken sentences	10 ± 5.9	–
Comprehension: written sentences	2 ± 4.2	–
VOSP Incomplete letters	2 ± 4.6	–
VOSP Dot counting	3 ± 3.3	–

Abbreviations: MMSE, Mini-Mental State Examination; WMS-R, Wechsler Memory Scale Revised (Wechsler²⁸); BNT, Boston Naming Test (Goodglass et al²⁹); VOSP, Visual Object and Space Perception Battery (Warrington & James³⁰); PCA, posterior cortical atrophy; AD, Alzheimer disease; SD, standard deviation.

^aValues expressed as mean ± SD or percentage as indicated.

^bPearson χ² test

^cUnpaired t test.

^dMann Whitney U test.

^eFisher exact test.

Chi-square tests revealed no differences between the PCA and the AD groups in the presence of each symptom on the NPI (see Figure 1). The most common symptoms were depression (64% PCA vs 61% AD, P = .83), irritability (50% PCA vs 64% AD, P = .24), anxiety (42% PCA vs 55% AD, P = .30), and apathy (42% PCA, vs 64% AD, P = .085). No differences were found in the presence of delusions or hallucinations between PCA and AD (delusions: 7 [25%] PCA vs 6 [17%] AD, P = .47; hallucinations: 3 [10%] PCA vs 3 [8%] AD, P = .80). Two (7%) patients in the PCA group but no one in the AD group presented with auditory hallucinations (AH), always accompanied by VH; these patients were 2 of the 3 individuals in the PCA group who were diagnosed with DLB.

Figure 1.

Prevalence of neuropsychiatric symptoms in patients with PCA and AD. AMB, indicates abnormal motor behavior; NBD, nightime behavioral disturbances; PCA, posterior cortical atrophy; AD, Alzheimer disease. Symptoms are ordered from more to less frequent in the PCA group.

To investigate the relationship between the age of onset and NPS, the PCA and AD sampled were split into early-onset (≤65 years) and late-onset (>65 years) subgroups (see Figure 2). In the PCA group, 47% (11 of 23) of the early-onset and 20% (1 of 5) of the late-onset patients presented anxiety, while the proportion of patients with anxiety in the AD group was 71% (15 of 21) in the early-onset and 30% (4 of 13) in the late-onset group. Levels of anxiety were significantly higher in the early-onset than late-onset AD subgroup (71% vs 30%, P = .02). Presence of anxiety did not differ between the PCA subgroups (47% vs 20%, P = .35) or between early-onset PCA and early-onset AD (47% vs 71%, P = .11). There were no other significant differences between early-onset and late-onset PCA or AD subgroups in the occurrence of any other NPS.

Figure 2.

Relationship between age at onset and anxiety in PCA and AD. *Statistically significant difference, P = .020. PCA indicates posterior cortical atrophy; AD, Alzheimer disease.

Spearman correlation analysis yielded a significant inverse relationship between naming and the occurrence of delusions and agitation in PCA (delusions, r = −.48, P = .009; agitation, r = −.41, P = .029). There were no other significant correlations between NPS and neuropsychological test scores.

Discussion

This study compared the neuropsychiatric profile of PCA and typical AD. The overall results suggest a similar pattern of neuropsychiatric disturbance in PCA and AD, with a trend toward less apathy in the PCA group. There were no significant differences between both groups in the presence of NPS. The 4 most frequently occurring symptoms in our PCA sample were depression, irritability, apathy, and anxiety. These 4 features were also the 4 most common NPS in the AD control sample and are all in the top 5 most frequently occurring NPS averaging across 13 previous studies of neuropsychiatric features of AD (see Table 2).

Table 2.

Percentage of Participants Showing Individual NPS in the Current Study, the Previous Study of PCA, and 14 Previous Studies Using the NPI in AD.^a

		Current study		Isella et al (2014)			Suarez- Gonzalez et al, (2014)	Van Vliet et al, (2012)³³		Toyota et al, (2007)³⁴		Zhang et al, (2012)³⁵	D’Onofrio et al, (2012)³⁶	Karttunen et al, (2011)³⁷			Yener et al, (2009)³⁸			Del Prete et al, (2009)³⁹	Hsieh et al, (2009)⁴⁰	Caputo et al, (2008)⁴¹	Fuh et al, (2005)⁴²			Srikanth et al, (2005)⁴³	Senanarong et al, (2005)⁴⁴	Mean% showing NPS	Range% showing NPS	Rank order% showing NPS	Mean % (selected studies^b)	Range % (selected studies^b)
Diagnosis		PCA	AD	PCA		AD	AD	AD	AD	AD	AD	AD	AD	AD	AD	AD	AD	AD	AD	AD	AD	AD	AD	AD	AD	AD	AD
N		28	34	20		20	85	79	68	46	261	46	166	240	81	159	78	94	45	53	25	690	188	107	25	44	73
MMSE	Mean	13	14	24		25	16	19	19	17	19	23	14	–	–	–	^c-	^d-	^e-	19	16	14	–	–	–	14	18
MMSE	SD	5	4	3		2	6	7	4	8	6	2	5	–	–	–	–	–	–	4	6	6	–	–	–	5	6
CDR		–	–	-		–	–	–	–	–	–	–	–	–	0.5	(1-2)	–	–	–	–	–	–	1	2	3	–	–
Age	Mean	64	66	70		75	74	61	79	55	75	75	79	75	73	75	73	73	74	74	69	76	75	75	75	67	70
Age	SD	7	7	8		4	7	5	5	5	5	6	6	6	6	6	8	8	9	7	6	7	7	7	7	9	8
^bSelected												^b			^b	^b	^b	^b					^b	^b
Percentage participants showing NPMs
Apathy		42	64		60	55	61	38	39	56	64	87	58	47	49	47	59	54	66	77	88	51	43	55	64	93	45	59	38-93	1	56	43-87
Depression		64	61		45	40	70	16	45	43	39	30	58	37	32	39	42	42	33	79	48	40	46	44	54	75	30	44	16-79	2	39	30-46
Irritability		50	64		35	5	52	24	26	19	24	54	49	34	33	34	27	25	29	68	12	39	38	45	50	77	47	38	12-77	3	36	25-54
Agitation		10	26		25	15	23	21	25	28	44	34	44	29	23	32	28	29	33	62	44	41	28	49	64	68	35	37	21-68	4	31	23-49
Anxiety		42	55		55	15	44	16	26	28	38	32	56	25	28	24	39	39	36	75	28	41	32	43	44	6	42	35	6-75	5	33	24-43
Sleep		10	0		15	0	10	7	16	–	–	19	57	–	–	–	–	–	–	28	96	25	36	47	56	18	38	34	7-96	6	34	19-47
AMB		10	8		15	5	0	25	22	26	43	28	23	18	16	20	22	23	22	40	56	31	–	–	60	20	42	28	0-60	7	21	16-28
Delusions		25	17		–	–	32	7	23	13	50	23	17	22	17	25	27	28	27	11	28	22	19	43	58	9	27	25	7-58	8	26	17-43
Apetite		3	0		20	20		20	25	–	–	6	53	–	–	–	–	–	–	21	4	19	30	40	52	0	27	24	0-53	9	25	6-40
Hallucinations		10	8		–	–	12	2	5	4	22	6	14	15	16	15	22	19	13	13	36	12	13	34	58	2	17	16	2-58	10	17	6-34
Disinhibition		21	14		10	0	12	11	5	4	16	13	0	14	18	12	15	11	9	17	0	9	13	32	32	45	30	15	0-45	11	16	11-32
Euphoria		7	0		5	0	3	2	2	8	7	2	4	5	4	6	11	15	7	9	48	4	5	9	16	6	6	8	2-48	12	7	2-15

Abbreviations: AMB, abnormal motor behavior; PCA, posterior cortical atrophy; AD, Alzheimer disease; SD, standard deviation; MMSE, Mini-Mental State Examination; NPI, Neuropsychiatric Inventory; CDR, clinical dementia rating; NPS, neuropsychiatric symptoms.

^aIn both PCA studies, the 4 most commonly observed NPS were apathy, depression, irritability, and anxiety (highlighted in gray). Across previous AD studies, apathy, depression, and irritability were also the 3 most commonly observed, with agitation marginally more common than anxiety. The percentage of anxiety in the Isella et al¹⁸ AD control group (highlighted in bold), who were significantly older than the corresponding patients with PCA, was unusually low and outside the range (also highlighted in bold) detected for previous studies involving patients with AD of comparable disease severity (estimated from MMSE/CDR score) and age (selected studies marked with^b).

^cMild AD, MMSE (21-26).

^dModerate AD, MMSE (11-20).

^eSevere AD, MMSE ≤ 10.

To our knowledge, there has only been 1 previous study evaluating NPS in PCA. Using the NPI, Isella et al¹⁸ compared 20 PCA and 20 patients with typical AD and reported higher rates of anxiety in PCA than in the AD group. The authors concluded that anxiety seems to be particularly common in PCA. As in Isella et al,¹⁸ in the present study, the 4 most common neuropsychiatric features in PCA are depression, irritability, apathy, and anxiety. However, unlike Isella et al¹⁸ who reported significantly higher rates of anxiety in their PCA (55%) than AD (15%) samples, we found no significant differences in anxiety (42% vs 55%, respectively) or any other NPS between our PCA and AD groups. One possible reason for this difference is that our PCA and AD groups were matched for age, unlike those in Isella et al study. Additionally, in Isella et al sample, the anxiety rate for patients with AD is unusually low in comparison to previous studies of NPS in AD, especially for those matched to the age and disease severity characteristics of the Isella et al group (see Table 2). The trend toward lower levels of apathy in the PCA group is consistent with findings described by Shakespeare et al,¹⁴ suggesting that patients with PCA may experience less apathy than individuals with AD. On the other hand, it has recently been claimed that individuals with early-onset AD exhibit significantly more anxiety symptoms than individuals with late-onset AD.³² Consistent with this claim, anxiety in the early-onset AD group was significantly more frequent than in the late-onset AD. Future studies using larger samples may determine whether this effect of age of onset upon anxiety symptoms holds true for patients with atypical AD phenotypes. Similarly, poor performance in naming tasks seems to be related to the appearance of higher rates of delusions and agitation. However, this finding needs to be replicated in larger longitudinal samples in order to ascertain the role of cognitive performance as potential predictors of psychiatric worsening.

Hallucinations and Delusions

Visual hallucinations have been reported in up to 25% of patients with PCA, although this proportion varies among studies. In the current sample, 3 (10%) patients presented with VH and met diagnostic criteria for DLB. These 3 cases presented features of Balint syndrome and occipital lobe atrophy on magnetic resonance imaging, and the presence of VH in these cases was not early but occurred at least 4 years after symptom onset. The presence of NPS was recorded within 6 months of the time of the SPECT. McMonagle et al¹⁰ reported 6 patients with VH, 5 of them were diagnosed with DLB. In the study of Tang-Wai et al,⁶ 2 cases developed VH within 3 to 7 years, and coexisting Lewy body disease was found on autopsy assessment. In the series of Josephs et al,⁷ a quarter of the patients with PCA were found to have VH, and all of them met the clinical criteria for probable DLB. Moreover, AH have previously been reported as very specific of DLB and usually accompanying VH.^21,22 Our results are mainly in line with these previous findings, suggesting that patients with PCA and VH, especially in the presence of AH, are likely to have DLB which might be of diagnostic relevance, as treatment approaches and prognosis for DLB differ from those for AD.

Strengths and Limitations

The main strengths of our study are the relatively large sample size and the availability of a routinely completed questionnaire to systematically evaluate NPS in both groups of patients. A further potential limitation may arise from the fact that only presence/absence of NPS has been considered in the present study. The frequency and severity with which these symptoms emerge might constitute a difference between patients with PCA which should be addressed in future studies. One difference between this and the previous study of NPS in PCA is the inclusion of individuals diagnosed with DLB. These individuals were retained in the current analysis, as our intention was to investigate the neuropsychiatric profile of the PCA syndrome not merely those individuals with PCA attributable to probable AD.

In summary, studies approaching NPS in PCA are scarce, and further efforts should be made in this direction. Future research looking at the frequency and severity of NPS and their course over time may contribute to shed light on the neuropsychiatric profile of PCA.

Footnotes

Acknowledgments

We thank patients and relatives involved in research at the Memory Disorders Unit of the University Hospital Virgen del Rocío and Emilie Brotherhood for her assistance with the manuscript’s proofreading.

Authors’ Note

Access to underlying research material: database can be at the disposal of editor if required.

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

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Sources of financial support: This work was supported by an Alzheimer’s Research UK Senior Research Fellowship and ESRC/NIHR grant (ES/K006711/1) to S. Crutch. A. Suárez-González was supported by a Dunhill Medical Trust grant (R337/0214). This work was supported by the NIHR Queen Square Dementia Biomedical Research Unit.

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Poungvarin

Jamjumras

. Neuropsychiatric symptoms, functional impairment and executive ability in Thai pateints with Alzheimer’s disease. Int Psychogeriatr. 2005;17:81–90.

Neuropsychiatric Symptoms in Posterior Cortical Atrophy and Alzheimer Disease

Abstract

Background:

Methods:

Results:

Conclusion:

Keywords

Introduction

Methods

Results

Discussion

Hallucinations and Delusions

Strengths and Limitations

Footnotes

Acknowledgments

Authors’ Note

Declaration of Conflicting Interests

Funding

References