Several recent commentaries suggest that, for psychological science to move beyond “homuncular” explanations for cognitive control, it is critically important to examine the role of basic and computationally well-defined processes (e.g. cognitive processing speed). Correlational evidence has previously linked slow speed to working memory (WM) deficits in Attention-Deficit Hyperactivity Disorder (ADHD), but the directionality of this relationship has not been investigated experimentally and the mechanisms through which speed may influence WM are unclear. Herein, we demonstrate in school-aged children with and without ADHD that manipulating speed (indexed with the diffusion model) within a WM paradigm reduces WM capacity due to an increase in cognitive load, in a manner that is consistent with predictions of the time-based resource-sharing model of WM. Results suggest slow speed is a plausible cause of WM deficits in ADHD, provide a mechanistic account of this relationship, and urge the exploration of nonexecutive neurocognitive processes in clinical research on etiology.
Abi-DarghamA.MawlawiO.LombardoI.GilR.MartinezD.HuangY., . . . GormanJ. M. (2002). Prefrontal dopamine D1 receptors and working memory in schizophrenia. The Journal of Neuroscience, 22(9), 3708–3719.
2.
AldersonR. M.HudecK. L.PatrosC. H.KasperL. J. (2013). Working memory deficits in adults with attention-deficit/hyperactivity disorder (ADHD): An examination of central executive and storage/rehearsal processes. Journal of Abnormal Psychology, 122(2), 532.
3.
AllowayT. P.GathercoleS. E.HolmesJ.PlaceM.ElliottJ. G.HiltonK. (2009). The diagnostic utility of behavioral checklists in identifying children with ADHD and children with working memory deficits. Child Psychiatry and Human Development, 40(3), 353–366.
4.
AllowayT. P.GathercoleS. E.KirkwoodH.ElliottJ. (2009). The cognitive and behavioral characteristics of children with low working memory. Child Development, 80(2), 606–621.
5.
American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev.). Washington, DC: Author.
6.
AndreouP.NealeB. M.ChenW. A. I.ChristiansenH.GabrielsI.HeiseA., . . . KuntsiJ. (2007). Reaction time performance in ADHD: Improvement under fast-incentive condition and familial effects. Psychological Medicine, 37(12), 1703–1715.
7.
Aston-JonesG.CohenJ. D. (2005). An integrative theory of locus coeruleus-norepinephrine function: Adaptive gain and optimal performance. Annual Review of Neuroscience, 28, 403–450.
8.
BaddeleyA. (2012). Working memory: Theories, models, and controversies. Annual Review of Psychology, 63, 1–29.
9.
BaddeleyA. D.HitchG. J. (1974). Working memory. In BowerG. H. (Ed.), The psychology of learning and motivation (Vol. 8, pp. 47–89). New York: Academic Press.
10.
BarkleyR. A. (1997). Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121(1), 65.
11.
BarkleyR. A.GrodzinskyG.DuPaulG. J. (1992). Frontal lobe functions in attention deficit disorder with and without hyperactivity: A review and research report. Journal of Abnormal Child Psychology, 20(2), 163–188.
12.
BarrouilletP.BernardinS.CamosV. (2004). Time constraints and resource sharing in adults’ working memory spans. Journal of Experimental Psychology: General, 133(1), 83.
13.
BarrouilletP.CamosV. (2012). As time goes by temporal constraints in working memory. Current Directions in Psychological Science, 21(6), 413–419.
14.
BavaS.JacobusJ.MahmoodO.YangT. T.TapertS. F. (2010). Neurocognitive correlates of white matter quality in adolescent substance users. Brain and Cognition, 72(3), 347–354.
15.
BaylissD. M.JarroldC.BaddeleyA. D.GunnD. M.LeighE. (2004). Mapping the developmental constraints on working memory span performance. Developmental Psychology, 41(4), 579–597.
16.
BenjaminiY.HochbergY. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B (Methodological), 57(1), 289–300.
17.
BurgessG. C.DepueB. E.RuzicL.WillcuttE. G.DuY. P.BanichM. T. (2010). Attentional control activation relates to working memory in attention-deficit/hyperactivity disorder. Biological Psychiatry, 67(7), 632–640.
18.
CarrL. A.NiggJ. T.HendersonJ. M. (2006). Attentional versus motor inhibition in adults with attention-deficit/hyperactivity disorder. Neuropsychology, 20(4), 430.
19.
CastellanosF. X.Sonuga-BarkeE. J.ScheresA.Di MartinoA.HydeC.WaltersJ. R. (2005). Varieties of attention-deficit/hyperactivity disorder-related intra-individual variability. Biological Psychiatry, 57(11), 1416–1423.
20.
CastellanosF. X.TannockR. (2002). Neuroscience of attention-deficit/hyperactivity disorder: The search for endophenotypes. Nature Reviews Neuroscience, 3(8), 617–628.
21.
CoghillD.NiggJ.RothenbergerA.Sonuga-BarkeE.TannockR. (2005). Whither causal models in the neuroscience of ADHD?Developmental Science, 8(2), 105–114.
22.
ConnersC. K. (2001). Conners’ Rating Scales—Revised Technical Manual. New York: Multi-Health Systems Inc.
23.
ConwayA. R.KaneM. J.BuntingM. F.HambrickD. Z.WilhelmO.EngleR. W. (2005). Working memory span tasks: A methodological review and user’s guide. Psychonomic Bulletin & Review, 12(5), 769–786.
24.
DanemanM.CarpenterP. A. (1980). Individual differences in working memory and reading. Journal of Verbal Learning and Verbal Behavior, 19(4), 450–466.
25.
DanemanM.MerikleP. M. (1996). Working memory and language comprehension: A meta-analysis. Psychonomic Bulletin & Review, 3(4), 422–433.
26.
De BritoS. A.VidingE.KumariV.BlackwoodN.HodginsS. (2013). Cool and hot executive function impairments in violent offenders with antisocial personality disorder with and without psychopathy. PLoS One, 8(6), e65566.
27.
EngleR. W. (2002). Working memory capacity as executive attention. Current Directions in Psychological Science, 11(1), 19–23.
28.
EngleR. W.KaneM. J.TuholskiS. W. (1999). Individual differences in working memory capacity and what they tell us about controlled attention, general fluid intelligence and functions of the prefrontal cortex. In MiyakeA.ShahP. (Eds.), Models of working memory: Mechanisms of active maintenance and executive control (pp. 102–134). New York, NY: Cambridge University Press.
29.
EngleR. W.TuholskiS. W.LaughlinJ. E.ConwayA. R. (1999). Working memory, short-term memory, and general fluid intelligence: A latent-variable approach. Journal of Experimental Psychology: General, 128(3), 309.
30.
EsterE. F.HoT. C.BrownS. D.SerencesJ. T. (2014). Variability in visual working memory ability limits the efficiency of perceptual decision making. Journal of Vision, 14(4), 2.
31.
FairD. A.BathulaD.NikolasM. A.NiggJ. T. (2012). Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD. Proceedings of the National Academy of Sciences, 109(17), 6769–6774.
32.
ForstmannB. U.WagenmakersE. J. (2015). Model-based cognitive neuroscience: A conceptual introduction. In An introduction to model-based cognitive neuroscience (pp. 139–156). New York: Springer.
33.
FryA. F.HaleS. (2000). Relationships among processing speed, working memory, and fluid intelligence in children. Biological Psychology, 54(1), 1–34.
34.
GaillardV.BarrouilletP.JarroldC.CamosV. (2011). Developmental differences in working memory: Where do they come from?Journal of Experimental Child psychology, 110(3), 469–479.
35.
GathercoleS. E.PickeringS. J. (2000). Working memory deficits in children with low achievements in the national curriculum at 7 years of age. British Journal of Educational Psychology, 70(2), 177–194.
36.
GearyD. C.HoardM. K.Byrd-CravenJ.NugentL.NumteeC. (2007). Cognitive mechanisms underlying achievement deficits in children with mathematical learning disability. Child Development, 78(4), 1343–1359.
37.
GohierB.FerracciL.SurguladzeS. A.LawrenceE.El HageW.KefiM. Z., . . . Le GallD. (2009). Cognitive inhibition and working memory in unipolar depression. Journal of Affective Disorders, 116(1), 100–105.
38.
GotoY.HatakeyamaK.KitamaT.SatoY.KanemuraH.AoyagiK., . . . AiharaM. (2010). Saccade eye movements as a quantitative measure of frontostriatal network in children with ADHD. Brain and Development, 32(5), 347–355.
39.
GremillionM. L.MartelM. M. (2012). Semantic language as a mechanism explaining the association between ADHD symptoms and reading and mathematics underachievement. Journal of Abnormal Child Psychology, 40(8), 1339–1349.
40.
HamiltonL. S.LevittJ. G.O’NeillJ.AlgerJ. R.LudersE.PhillipsO. R., . . . NarrK. L. (2008). Reduced white matter integrity in attention-deficit hyperactivity disorder. Neuroreport, 19(17), 1705.
41.
HayesS.HirschC.MathewsA. (2008). Restriction of working memory capacity during worry. Journal of Abnormal Psychology, 117(3), 712.
42.
HerveyA. S.EpsteinJ. N.CurryJ. F.TonevS.Eugene ArnoldL.Keith ConnersC., . . . HechtmanL. (2006). Reaction time distribution analysis of neuropsychological performance in an ADHD sample. Child Neuropsychology, 12(2), 125–140.
43.
HoT. C.BrownS.AbuyoN. A.KuE. H. J.SerencesJ. T. (2012). Perceptual consequences of feature-based attentional enhancement and suppression. Journal of Vision, 12(8), 15.
44.
HoldnackJ. A.MobergP. J.ArnoldS. E.GurR. C.GurR. E. (1995). Speed of processing and verbal learning deficits in adults diagnosed with attention deficit disorder. Cognitive and Behavioral Neurology, 8(4), 282–292.
45.
Huang-PollockC. L.KaralunasS. L. (2010). Working memory demands impair skill acquisition in children with ADHD. Journal of Abnormal Psychology, 119(1), 174.
46.
Huang-PollockC. L.KaralunasS. L.TamH.MooreA. N. (2012). Evaluating vigilance deficits in ADHD: A meta-analysis of CPT performance. Journal of Abnormal Psychology, 121(2), 360.
47.
Huang-PollockC.RatcliffR.McKoonG.ShapiroZ.WeigardA.Galloway-LongH. (2016). Using the diffusion model to explain cognitive deficits in attention deficit hyperactivity disorder. Journal of Abnormal Child Psychology, 1–12.
48.
Huang-PollockC.ShapiroZ.Galloway-LongH.WeigardA. (2016). Are executive function deficits a transdiagnostic risk factor for psychopathology?Journal of Abnormal Child Psychology. Manuscript submitted for publication.
49.
IkedaY.OkuzumiH.KokubunM. (2013). Stroop/reverse-Stroop interference in typical development and its relation to symptoms of ADHD. Research in Developmental Disabilities, 34(8), 2391–2398.
50.
KailR.ParkY. S. (1994). Processing time, articulation time, and memory span. Journal of Experimental Child Psychology, 57(2), 281–291.
51.
KaneM. J.BleckleyM. K.ConwayA. R.EngleR. W. (2001). A controlled-attention view of working-memory capacity. Journal of Experimental Psychology: General, 130(2), 169.
52.
KaneM. J.EngleR. W. (2002). The role of prefrontal cortex in working-memory capacity, executive attention, and general fluid intelligence: An individual-differences perspective. Psychonomic Bulletin & Review, 9(4), 637–671.
53.
KaneM. J.EngleR. W. (2003). Working-memory capacity and the control of attention: The contributions of goal neglect, response competition, and task set to Stroop interference. Journal of Experimental Psychology: General, 132(1), 47.
54.
KaralunasS. L.GeurtsH. M.KonradK.BenderS.NiggJ. T. (2014). Annual Research Review: Reaction time variability in ADHD and autism spectrum disorders: Measurement and mechanisms of a proposed trans-diagnostic phenotype. Journal of Child Psychology and Psychiatry, 55, 685–710.
55.
KaralunasS. L.Huang-PollockC. L. (2013). Integrating impairments in reaction time and executive function using a diffusion model framework. Journal of Abnormal Child Psychology, 41(5), 837–850.
56.
KaralunasS. L.Huang-PollockC. L.NiggJ. T. (2012). Decomposing attention-deficit/hyperactivity disorder (ADHD)-related effects in response speed and variability. Neuropsychology, 26(6), 684.
57.
KarbasforoushanH.DuffyB.BlackfordJ. U.WoodwardN. D. (2015). Processing speed impairment in schizophrenia is mediated by white matter integrity. Psychological Medicine, 45(01), 109–120.
58.
KasperL. J.AldersonR. M.HudecK. L. (2012). Moderators of working memory deficits in children with attention-deficit/hyperactivity disorder (ADHD): A meta-analytic review. Clinical Psychology Review, 32(7): 605–617.
59.
KatzL. J.BrownF. C.RothR. M.BeersS. R. (2011). Processing speed and working memory performance in those with both ADHD and a reading disorder compared with those with ADHD alone. Archives of Clinical Neuropsychology, 26(5), 425–433.
60.
KellyS. P.O’ConnellR. G. (2013). Internal and external influences on the rate of sensory evidence accumulation in the human brain. The Journal of Neuroscience, 33(50), 19434–19441.
61.
KilleenP. R. (2013). Absent without leave; a neuroenergetic theory of mind wandering. Frontiers in Psychology, 4, 373.
62.
KilleenP. R.RussellV. A.SergeantJ. A. (2013). A behavioral neuroenergetics theory of ADHD. Neuroscience and Biobehavioral Reviews, 37, 625–657.
63.
KlimkeitE. I.MattingleyJ. B.SheppardD. M.LeeP.BradshawJ. L. (2005). Motor preparation, motor execution, attention, and executive functions in attention deficit/hyperactivity disorder (ADHD). Child Neuropsychology, 11(2), 153–173.
64.
KoflerM. J.AldersonR. M.RaikerJ. S.BoldenJ.SarverD. E.RapportM. D. (2014). Working memory and intraindividual variability as neurocognitive indicators in ADHD: Examining competing model predictions. Neuropsychology, 28(3), 459.
65.
KoflerM. J.RapportM. D.SarverD. E.RaikerJ. S.OrbanS. A.FriedmanL. M.KolomeyerE. G. (2013). Reaction time variability in ADHD: A meta-analytic review of 319 studies. Clinical psychology Review, 33(6), 795–811.
66.
Krause-UtzA.OeiN. Y.NiedtfeldI.BohusM.SpinhovenP.SchmahlC.ElzingaB. M. (2012). Influence of emotional distraction on working memory performance in borderline personality disorder. Psychological Medicine, 42(10), 2181–2192.
67.
KuntsiJ.RogersH.SwinardG.BörgerN.van der MEEREJ. A. A. P.RijsdijkF.AshersonP. (2006). Reaction time, inhibition, working memory and “delay aversion” performance: Genetic influences and their interpretation. Psychological Medicine, 36(11), 1613–1624.
68.
MaddenD. J.BennettI. J.BurzynskaA.PotterG. G.ChenN. K.SongA. W. (2012). Diffusion tensor imaging of cerebral white matter integrity in cognitive aging. Biochimica et Biophysica Acta (BBA)-Molecular Basis of Disease, 1822(3), 386–400.
69.
MartinussenR.HaydenJ.Hogg-JohnsonS.TannockR. (2005). A meta-analysis of working memory impairments in children with attention-deficit/hyperactivity disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 44, 377–384.
70.
MeierM.KaneM. (2013). Working memory capacity and Stroop interference: Global versus local indices of executive control. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39(3), 748–759.
71.
MetinB.RoeyersH.WiersemaJ. R.van der MeereJ. J.ThompsonM.Sonuga-BarkeE. (2013). ADHD performance reflects inefficient but not impulsive information processing: A diffusion model analysis. Neuropsychology, 27(2), 193.
72.
MillerA. C.KeenanJ. M.BetjemannR. S.WillcuttE. G.PenningtonB. F.OlsonR. K. (2013). Reading comprehension in children with ADHD: Cognitive underpinnings of the centrality deficit. Journal of Abnormal Child Psychology, 41(3), 473–483.
73.
MiyakeA.FriedmanN. P.EmersonM. J.WitzkiA. H.HowerterA.WagerT. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive psychology, 41(1), 49–100.
74.
MiyakeA.FriedmanN. P.RettingerD. A.ShahP.HegartyM. (2001). How are visuospatial working memory, executive functioning, and spatial abilities related? A latent variable analysis. Journal of Experimental Psychology: General, 130, 621–640.
75.
MiyakeA.ShahP. (1999). Models of working memory: Mechanisms of active maintenance and control. New York: Cambridge University Press.
76.
MonsellS.DriverJ. (2000). Banishing the control homunculus. Control of Cognitive Processes, 139(1), 105–118.
77.
NiggJ. T.ButlerK. M.Huang-PollockC. L.HendersonJ. M. (2002). Inhibitory processes in adults with persistent childhood onset ADHD. Journal of Consulting and Clinical Psychology, 70(1), 153.
78.
NyroosM.Wiklund-HörnqvistC. (2012). The association between working memory and educational attainment as measured in different mathematical subtopics in the Swedish national assessment: Primary education. Educational Psychology, 32(2), 239–256.
79.
OberauerK.LewandowskyS.FarrellS.JarroldC.GreavesM. (2012). Modeling working memory: An interference model of complex span. Psychonomic Bulletin & Review, 19(5), 779–819.
80.
PavuluriM. N.YangS.KamineniK.PassarottiA. M.SrinivasanG.HarralE. M., . . . ZhouX. J. (2009). Diffusion tensor imaging study of white matter fiber tracts in pediatric bipolar disorder and attention-deficit/hyperactivity disorder. Biological Psychiatry, 65(7), 586–593.
81.
PortratS.CamosV.BarrouilletP. (2009). Working memory in children: A time-constrained functioning similar to adults. Journal of Experimental Child Psychology, 102(3), 368–374.
82.
RapportM. D.AldersonR. M.KoflerM. J.SarverD. E.BoldenJ.SimsV. (2008). Working memory deficits in boys with attention-deficit/hyperactivity disorder (ADHD): The contribution of central executive and subsystem processes. Journal of Abnormal Child Psychology, 36(6), 825–837.
83.
RatcliffR.LoveJ.ThompsonC. A.OpferJ. E. (2012). Children are not like older adults: A diffusion model analysis of developmental changes in speeded responses. Child Development, 83(1), 367–381.
84.
RatcliffR.McKoonG. (2008). The diffusion decision model: Theory and data for two- choice decision tasks. Neural Computation, 20(4), 873–922.
85.
RatcliffR.ThaparA.McKoonG. (2004). A diffusion model analysis of the effects of aging on recognition memory. Journal of Memory and Language, 50(4), 408–424.
86.
ReynoldsC.KamphausR. (2004). Behavior Assessment for Children (BASC-2). Circle Pines, MN: American Guidance Service.
87.
RinkenauerG.OsmanA.UlrichR.Müller-GethmannH.MattesS. (2004). On the locus of speed-accuracy trade-off in reaction time: Inferences from the lateralized readiness potential. Journal of Experimental Psychology: General, 133(2), 261.
88.
RoseE. J.EbmeierK. P. (2006). Pattern of impaired working memory during major depression. Journal of Affective Disorders, 90(2), 149–161.
89.
SattlerJ. (2008). Resource guide to accompany assessment of children: Cognitive foundations (5th ed.). San Diego, CA: Jerome Sattler Publisher, Inc.
90.
SchmiedekF.OberauerK.WilhelmO.SussH.- M.WittmannW. W. (2007). Individual differences in components of reaction time distributions and their relations to working memory and intelligence. Journal of Experimental Psychology General, 136(3), 414.
91.
SchmitzF.VossA. (2012). Decomposing task-switching costs with the diffusion model. Journal of Experimental Psychology: Human Perception and Performance, 38(1), 222.
92.
SchoechlinC.EngelR. R. (2005). Neuropsychological performance in adult attention-deficit hyperactivity disorder: Meta-analysis of empirical data. Archives of Clinical Neuropsychology, 20(6), 727–744.
93.
ShafferD.FisherP.LucasR. (1997). NIMH Diagnostic Interview Schedule for Children–IV. New York: Ruane Center for Early Diagnosis, Division of Child Psychiatry, Columbia University.
94.
ShaharN.TeodorescuA. R.UsherM.PeregM.MeiranN. (2014). Selective influence of working memory load on exceptionally slow reaction times. Journal of Experimental Psychology: General, 143(5), 1837.
95.
ShanahanM. A.PenningtonB. F.YerysB. E.ScottA.BoadaR.WillcuttE. G., . . . DeFriesJ. C. (2006). Processing speed deficits in attention deficit/hyperactivity disorder and reading disability. Journal of Abnormal Child Psychology, 34(5), 584–601.
96.
ShiffrinR. M.SchneiderW. (1977). Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. Psychological Review, 84(2), 127.
97.
SilkT. J.VanceA.RinehartN.BradshawJ. L.CunningtonR. (2009). White-matter abnormalities in attention deficit hyperactivity disorder: A diffusion tensor imaging study. Human Brain Mapping, 30(9), 2757–2765.
98.
SmithP. L.RatcliffR. (2004). Psychology and neurobiology of simple decisions. Trends in Neurosciences, 27(3), 161–168.
99.
SmithP. L.RatcliffR.WolfgangB. J. (2004). Attention orienting and the time course of perceptual decisions: Response time distributions with masked and unmasked displays. Vision Research, 44(12), 1297–1320.
100.
TowseJ. N.HitchG. J. (1995). Is there a relationship between task demand and storage space in tests of working memory capacity?The Quarterly Journal of Experimental Psychology, 48(1), 108–124.
101.
TurkenU.Whitfield-GabrieliS.BammerR.BaldoJ. V.DronkersN. F.GabrieliJ. D. (2008). Cognitive processing speed and the structure of white matter pathways: Convergent evidence from normal variation and lesion studies. Neuroimage, 42, 1032–1044.
102.
UnsworthN.EngleR. W. (2007). The nature of individual differences in working memory capacity: Active maintenance in primary memory and controlled search from secondary memory. Psychological Review, 114(1), 104.
103.
UnsworthN.HeitzR. P.SchrockJ. C.EngleR. W. (2005). An automated version of the operation span task. Behavior Research Methods, 37(3), 498–505.
104.
UnsworthN.RedickT. S.HeitzR. P.BroadwayJ. M.EngleR. W. (2009). Complex working memory span tasks and higher-order cognition: A latent-variable analysis of the relationship between processing and storage. Memory, 17(6), 635–654.
105.
VandierendonckA. (2016). A working memory system with distributed executive control. Perspectives on Psychological Science, 11(1), 74–100.
106.
VerbruggenF.McLarenI. P.ChambersC. D. (2014). Banishing the control homunculi in studies of action control and behavior change. Perspectives on Psychological Science, 9(5), 497–524.
107.
VossA.NaglerM.LercheV. (2012). Diffusion models in experimental psychology: A practical introduction. Experimental Psychology, 60(6), 385–402.
108.
VossA.VossJ. (2007). Fast-dm: A free program for efficient diffusion model analysis. Behavior Research Methods, 39(4), 767–775.
109.
VytalK. E.ArkinN. E.OverstreetC.LiebermanL.GrillonC. (2016). Induced-anxiety differentially disrupts working memory in generalized anxiety disorder. BMC Psychiatry, 16(1), 1.
110.
WagenmakersE.- J.Van Der MaasH. L.GrasmanR. P. (2007). An EZ-diffusion model for response time and accuracy. Psychonomic Bulletin & Review, 14(1), 3–22.
111.
WechslerD. (2003). Wechsler Intelligence Scale for Children, 4th Ed (WISC-IV): Technical and interpretive manual. San Antonio, TX: Harcourt Brace.
112.
WeigardA.Huang-PollockC. (2014). A diffusion modeling approach to understanding contextual cueing effects in children with ADHD. Journal of Child Psychology and Psychiatry, 55(12), 1336–1344.
113.
WeigardA.Huang-PollockC.BrownS. (2016). Evaluating the consequences of impaired monitoring of learned behavior in attention-deficit/hyperactivity disorder using a Bayesian hierarchical model of choice response time. Neuropsychology, 30(4), 502–515.
114.
WillcuttE. G.DoyleA. E.NiggJ. T.FaraoneS. V.PenningtonB. F. (2005). Validity of the executive function theory of attention-deficit/hyperactivity disorder: A meta-analytic review. Biological Psychiatry, 57(11), 1336–1346.
115.
WozniakJ. R.MuetzelR. L. (2011). What does diffusion tensor imaging reveal about the brain and cognition in fetal alcohol spectrum disorders?Neuropsychology Review, 21(2), 133–147.
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