Impairments in theory of mind (ToM)—long considered common among individuals with autism spectrum disorder (ASD)—are in fact highly heterogeneous across this population. Although such heterogeneity should be reflected in differential recruitment of neural mechanisms during ToM reasoning, no research has yet uncovered a mechanism that explains these individual differences. In this study, 78 (48 with ASD) adolescents viewed ToM vignettes and made mental-state inferences about characters’ behavior while participant electrophysiology was concurrently recorded. Two candidate event-related-potentials (ERPs)—the late positive complex (LPC) and the late slow wave (LSW)—were successfully elicited. LPC scores correlated positively with ToM accuracy and negatively with ASD symptom severity. Note that the LPC partially mediated the relationship between ASD symptoms and ToM accuracy, which suggests that this ERP component, thought to represent cognitive metarepresentation, may help explain differences in ToM performance in some individuals with ASD.
AltschulerM.SideridisG.KalaS.WarshawskyM.GilbertR.CarrollD.Burger-CaplanR.FajaS. (2018). Measuring individual differences in cognitive, affective, and spontaneous theory of mind among school-aged children with autism spectrum disorder. Journal of Autism and Developmental Disorders, 48(11), 3945–3957. https://doi.org/10.1007/s10803-018-3663-1
2.
Baron-CohenS. (2000). Theory of mind and autism: A fifteen year review. In Baron-CohenS.Tager-FlusbergH.CohenD. J. (Eds.), Understanding other minds: Perspectives from developmental cognitive neuroscience (pp. 3–20). Oxford University Press.
3.
BowmanL. C.LiuD.MeltzoffA. N.WellmanH. M. (2012). Neural correlates of belief- and desire-reasoning in 7- and 8-year-old children: An event-related potential study. Developmental Science, 15(5), 618–632. https://doi.org/10.1111/j.1467-7687.2012.01158.x
CarskadonM. A.AceboC. (1993). A self-administered rating scale for pubertal development. Journal of Adolescent Health, 14(3), 190–195. https://doi.org/10.1016/1054-139X(93)90004-9
6.
CastelliF.FrithC.HappéF.FrithU. (2002). Autism, Asperger syndrome and brain mechanisms for the attribution of mental states to animated shapes. Brain, 125(8), 1839–1849.
7.
ConstantinoJ. N.GruberC. P.DavisS.HayesS.PassananteN.PrzybeckT. (2004). The factor structure of autistic traits. Journal of Child Psychology and Psychiatry, 45(4), 719–726. https://doi.org/10.1111/j.1469-7610.2004.00266.x
8.
DienJ.SpencerK. M.DonchinE. (2004). Parsing the late positive complex: Mental chronometry and the ERP components that inhabit the neighborhood of the P300. Psychophysiology, 41(5), 665–678. https://doi.org/10.1111/j.1469-8986.2004.00193.x
FrithU.HappéF.SiddonsF. (1994). Autism and theory of mind in everyday life. Social Development, 3(2), 108–124.
11.
GeanguE.GibsonA.KadukK.ReidV. M. (2013). The neural correlates of passively viewed sequences of true and false beliefs. SCAN, 8, 432–437. https://doi.org/10.1093/scan/nss015
12.
GrattonG.ColesM. G. H.DonchinE. (1983). A new method for off-line removal of ocular artifact. Electroencephalography and Clinical Neurophysiology, 55(4), 468–484. https://doi.org/10.1016/0013-4694(83)90135-9
13.
HajcakG.FotiD. (2020). Significance?. . .Significance! Empirical, methodological, and theoretical connections between the late positive potential and P300 as neural responses to stimulus significance: An integrative review. Psychophysiology, 57(7), Article e13570. https://doi.org/10.1111/psyp.13570
14.
HappéF. (1995). The role of age and verbal ability in the theory of mind task performance of subjects with autism. Child Development, 66(3), 843–855.
15.
JiangQ.WangQ.LiP.LiH. (2016). The neural correlates underlying belief reasoning for self and for others: Evidence from ERPs. Frontiers in Psychology, 7, Article 1501. https://doi.org/10.3389/fpsyg.2016.01501
16.
JonesC. R. G.SimonoffE.BairdG.PicklesA.MarsdenA. J. S.TregayJ.HappéF.CharmanT. (2018). The association between theory of mind, executive function, and the symptoms of autism spectrum disorder. Autism Research, 11(1), 95–109. https://doi.org/10.1002/aur.1873
17.
KalandN.CallesenK.Møller-NielsenA.MortensenE. L.SmithL. (2008). Performance of children and adolescents with Asperger syndrome or high-functioning autism on advanced theory of mind tasks. Journal of Autism and Developmental Disorders, 38(6), 1112–1123. https://doi.org/10.1007/s10803-007-0496-8
18.
KanaR. K.KellerT. A.CherkasskyV. L.MinshewN. J.JustM. A. (2009). Social Neuroscience Atypical frontal-posterior synchronization of Theory of Mind regions in autism during mental state attribution. Social Neuroscience, 4(2), 135–152. https://doi.org/10.1080/17470910802198510
19.
KanaR. K.MaximoJ. O.WilliamsD. L.KellerT. A.SchipulS. E.CherkasskyV. L.MinshawN. J.JustM. A. (2015). Aberrant functioning of the theory-of-mind network in children and adolescents with autism. Molecular Autism, 6(1), 1–12. https://doi.org/10.1186/s13229-015-0052-x
20.
KaufmanA. S.KaufmanN. L. (2004). Kaufman Brief Intelligence Test. John Wiley & Sons.
21.
KimH.KeiferC.Rodriguez-SeijasC.EatonN.LernerM.GadowK. (2019). Quantifying the optimal structure of the autism phenotype: A comprehensive comparison of dimensional, categorical, and hybrid models. Journal of the American Academy of Child & Adolescent Psychiatry, 58(9), 876–886.e2. https://doi.org/10.1016/J.JAAC.2018.09.431
22.
Kuhn-PoppN.SodianB.SommerM.DohnelK.MeinhardtJ. (2013). Same or different? ERP correlates of pretense and false belief reasoning in children. Neuroscience, 248, 488–498. https://doi.org/10.1016/j.neuroscience.2013.06.017
23.
Le CouteurA.LordC.RutterM. (2003). The Autism Diagnostic Interview-Revised (ADI-R). Western Psychological Services.
LiuD.SabbaghM. A.GehringW. J.WellmanH. M. (2004). Decoupling beliefs from reality in the brain: An ERP study of theory of mind. Cognitive Neuroscience and Neuropsychology, 15(6), 991–995. https://doi.org/10.1097/01.wnr.0000123388.87650.06
28.
LiuD.SabbaghM. A.GehringW. J.WellmanH. M. (2009). Neural correlates of children’s theory of mind development. Child Development, 80(2), 318–326. https://doi.org/10.1111/j.1467-8624.2009.01262.x
29.
LivingstonL. A.ColvertE.BoltonP.HappéF. (2019). Good social skills despite poor theory of mind: Exploring compensation in autism spectrum disorder. Journal of Child Psychology and Psychiatry and Allied Disciplines, 60(1), 102–110. https://doi.org/10.1111/jcpp.12886
30.
LivingstonL. A.HappéF. (2017). Conceptualising compensation in neurodevelopmental disorders: Reflections from autism spectrum disorder. Neuroscience and Biobehavioral Reviews, 80, 729–742. https://doi.org/10.1016/j.neubiorev.2017.06.005
MasonR. A.WilliamsD. L.KanaR. K.MinshewN.JustM. A. (2008). Theory of Mind disruption and recruitment of the right hemisphere during narrative comprehension in autism. Neuropsychologia, 46, 269–280. https://doi.org/10.1016/j.neuropsychologia.2007.07.018
33.
MazzaM.MarianoM.PerettiS.MaseduF.Chiara PinoM.ValentiM. (2017). The role of theory of mind on social information processing in children with autism spectrum disorders: A mediation analysis. Journal of Autism and Developmental Disorders, 47, 1369–1379. https://doi.org/10.1007/s10803-017-3069-5
34.
McKownC. (2019). Reliability, factor structure, and measurement invariance of a web-based assessment of children’s social-emotional comprehension. Journal of Psychoeducational Assessment, 37(4), 435–449. https://doi.org/10.1177/0734282917749682
35.
McKownC.AllenA. M.Russo-PonsaranN. M.JohnsonJ. K. (2013). Direct assessment of children’s social-emotional comprehension. Psychological Assessment, 25(4), 1154–1166.
36.
McKownC.Russo-PonsaranN. M.JohnsonJ. K.RussoJ.AllenA. (2016). Web-based assessment of children’s social-emotional comprehension. Journal of Psychoeducational Assessment, 34(4), 322–338. https://doi.org/10.1177/0734282915604564
37.
MeinhardtJ.Kühn-PoppN.SommerM.SodianB. (2012). Distinct neural correlates underlying pretense and false belief reasoning: Evidence from ERPs. NeuroImage, 63(2), 623–631. https://doi.org/10.1016/j.neuroimage.2012.07.019
38.
MeinhardtJ.SodianB.ThoermerC.DöhnelK.SommerM. (2011). True- and false-belief reasoning in children and adults: An event-related potential study of theory of mind. Developmental Cognitive Neuroscience, 1(1), 67–76. https://doi.org/10.1016/j.dcn.2010.08.001
39.
MendelsonJ. L.GatesJ. A.LernerM. D. (2016). Psychological bulletin friendship in school-age boys with autism spectrum disorders: A meta-analytic summary and developmental, process-based model. Psychological Bulletin, 142(6), 601–622. https://doi.org/10.1037/bul0000041
40.
MeyerA.LernerM. D.De Los ReyesA.LairdR. D.HajcakG. (2017). Considering ERP difference scores as individual difference measures: Issues with subtraction and alternative approaches. Psychophysiology, 54(1), 114–122. https://doi.org/10.1111/psyp.12664
41.
MoranJ. M.YoungL. L.SaxeR.LeeS. M.O’YoungD.MavrosP. L.GabrieliJ. D. (2011). Impaired theory of mind for moral judgment in high-functioning autism. Proceedings of the National Academy of Sciences, USA, 108(7), 2688–2692. https://doi.org/10.1073/pnas.1011734108
42.
NijhofA. D.BardiL.BrassM.WiersemaJ. R. (2018). Brain activity for spontaneous and explicit mentalizing in adults with autism spectrum disorder: An fMRI study. NeuroImage: Clinical, 18, 475–484. https://doi.org/10.1016/j.nicl.2018.02.016
43.
PelphreyK. A.ShultzS.HudacC. M.Vander WykB. C. (2011). Research review: Constraining heterogeneity: The social brain and its development in autism spectrum disorder. Journal of Child Psychology and Psychiatry, 52(6), 631–644. https://doi.org/10.1111/j.1469-7610.2010.02349.x
44.
PicciG.ScherfK. S. (2015). A two-hit model of autism: Adolescence as the second hit. Clinical Psychological Science, 3(3), 349–371. https://doi.org/10.1177/2167702614540646
PreacherK. J.KelleyK. (2011). Effect size measures for mediation models: Quantitative strategies for communicating indirect effects. Psychological Methods, 16(2), 93–115. https://doi.org/10.1037/a0022658.supp
47.
RiceK.MoriuchiJ. M.JonesW.KlinA. (2012). Parsing heterogeneity in autism spectrum disorders: Visual scanning of dynamic social scenes in school-aged children. Journal of the American Academy of Child & Adolescent Psychiatry, 51(3), 238–248.
48.
Russo-PonsaranN. M.LernerM. D.McKownC.WeberR. J.KarlsA.KangE.SommerS. L. (2019). Web-based assessment of social–emotional skills in school-aged youth with autism spectrum disorder. Autism Research, 12(8), 1260–1271. https://doi.org/10.1002/aur.2123
49.
RutterM.BaileyA.LordC. (2005). SCQ: The Social Communication Questionnaire manual. Western Psychological Services.
50.
SabbaghM. A. (2004). Understanding orbitofrontal contributions to theory-of-mind reasoning: Implications for autism. Brain and Cognition, 55(1), 209–219. https://doi.org/10.1016/j.bandc.2003.04.002
51.
SabbaghM. A.TaylorM. (2000). Neural correlates of theory-of-mind reasoning: An event-related potential study. Psychological Science, 11(1), 46–50.
52.
SaxeR. (2010). The right temporo-parietal junction: A specific brain region for thinking about thoughts. In LeslieA.GermanT. (Eds.), Handbook of theory of mind (pp. 1–35). Psychology Press.
53.
SaxeR.PowellL. J. (2006). It’s the thought that counts specific brain regions for one component of theory of mind. Psychological Science, 17(8), 692–699.
54.
SchneiderD.SlaughterV. P.BaylissA. P.DuxP. E. (2013). A temporally sustained implicit theory of mind deficit in autism spectrum disorders. Cognition, 129(2), 410–417. https://doi.org/10.1016/j.cognition.2013.08.004
55.
SchurzM.RaduaJ.AichhornM.RichlanF.PernerJ. (2014). Fractionating theory of mind: A meta-analysis of functional brain imaging studies. Neuroscience and Biobehavioral Reviews, 42, 9–34. https://doi.org/10.1016/j.neubiorev.2014.01.009
56.
SenjuA. (2012). Spontaneous theory of mind and its absence in autism spectrum disorders. The Neuroscientist, 18(2), 108–113. https://doi.org/10.1177/1073858410397208
57.
SenjuA.SouthgateV.WhiteS.FrithU. (2009). Mindblind eyes: An absence of spontaneous theory of mind in Asperger syndrome. Science, 325(5942), 883–885. https://doi.org/10.1126/science.1176170
TesarB.DeckertM.SchmoegerM.WillingerU. (2020). Electrophysiological correlates of basic and higher order cognitive and affective theory of mind processing in emerging and early adulthood—An explorative event-related potentials study to investigate first-, second-, and third-order theory of mind processing based on visual cues. Frontiers in Human Neuroscience, 14, Article 79. https://doi.org/10.3389/fnhum.2020.00079
60.
WangY. W.LinC. D.YuanB.HuangL.ZhangW. X.ShenD. L. (2010). Person perception precedes theory of mind: An event related potential analysis. Neuroscience, 170, 238–246. https://doi.org/10.1016/j.neuroscience.2010.06.055
61.
WebbS. J.BernierR.HendersonH. A.JohnsonM. H.JonesE. J. H.LernerM. D.McPartlandJ. C.NelsonC. A.RojasD. C.TownsendJ.WesterfieldM. (2015). Guidelines and best practices for electrophysiological data collection, analysis and reporting in autism. Journal of Autism and Developmental Disorders, 45(2), 425–443. https://doi.org/10.1007/s10803-013-1916-6
62.
WhiteS. J.FrithU.RelleckeJ.Al-NoorZ.GilbertS. J. (2014). Autistic adolescents show atypical activation of the brain’s mentalizing system even without a prior history of mentalizing problems. Neuropsychologia, 56(1), 17–25. https://doi.org/10.1016/j.neuropsychologia.2013.12.013
63.
YukV.UrbainC.PangE. W.AnagnostouE.BuchsbaumD.TaylorM. J. (2018). Do you know what I’m thinking? Temporal and spatial brain activity during a theory-of-mind task in children with autism. Developmental Cognitive Neuroscience, 34, 139–147. https://doi.org/10.1016/j.dcn.2018.08.001
64.
ZhangT.ShaW.ZhengX.OuyangH.LiH. (2009). Inhibiting one’s own knowledge in false belief reasoning: An ERP study. Neuroscience Letters, 467(3), 194–198. https://doi.org/10.1016/j.neulet.2009.10.009
65.
ZivY.HadadB. S.KhateebY. (2014). Social information processing in preschool children diagnosed with autism spectrum disorder. Journal of Autism and Developmental Disorders, 44(4), 846–859. https://doi.org/10.1007/s10803-013-1935-3
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