Feedback-driven trial-by-trial learning in autism spectrum disorders

American Journal of Psychiatry

Volumn 172, Issue 2, 2015, Pages 173-181

  Solomon, Marjorie ^a,b,c,d,e,f   Frank, Michael J ^a,b,c,d,e,f   Daniel Ragland, J ^a,b,c,d,e,f   Smith, Anne C ^a,b,c,d,e,f   Niendam, Tara A ^a,b,c,d,e,f   Lesh, Tyler A ^a,b,c,d,e,f   Grayson, David S ^a,b,c,d,e,f   Beck, Jonathan S ^a,b,c,d,e,f   Matter, John C ^a,b,c,d,e,f   Carter, Cameron S ^a,b,c,d,e,f  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Imaging Research Center   (United States)

^d BROWN UNIVERSITY   (United States)

^e UNIVERSITY OF ARIZONA   (United States)

^f University of Arizona ^*

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ADULT; ANTERIOR CINGULATE; ARTICLE; AUTISM; CLINICAL ARTICLE; COGNITIVE DEFECT; CONTROLLED STUDY; EVENT RELATED POTENTIAL; FEEDBACK SYSTEM; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; LEARNING DISORDER; MALE; ORBITAL CORTEX; PREFRONTAL CORTEX; PROBABILITY; TASK PERFORMANCE; VOXEL BASED MORPHOMETRY; WORKING MEMORY; ADAPTIVE BEHAVIOR; CHILD DEVELOPMENT DISORDERS, PERVASIVE; CINGULATE GYRUS; COMPLICATION; DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS; LEARNING DISORDERS; METHODOLOGY; NEUROPSYCHOLOGICAL TEST; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PHYSIOLOGY; PROCEDURES; PSYCHOLOGY; REINFORCEMENT; SHORT TERM MEMORY; STATISTICAL MODEL;

ADULT; CHILD DEVELOPMENT DISORDERS, PERVASIVE; DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS; FEEDBACK, PSYCHOLOGICAL; FEMALE; GYRUS CINGULI; HUMANS; LEARNING DISORDERS; MAGNETIC RESONANCE IMAGING; MALE; MEMORY, SHORT-TERM; MODELS, STATISTICAL; NEUROPSYCHOLOGICAL TESTS; PREFRONTAL CORTEX; REINFORCEMENT (PSYCHOLOGY); RESEARCH DESIGN; TASK PERFORMANCE AND ANALYSIS;

EID: 84922241218     PISSN: 0002953X     EISSN: 15357228     Source Type: Journal    
DOI: 10.1176/appi.ajp.2014.14010036     Document Type: Article

References (46)

1. Minshew NJ, Goldstein G, Siegel DJ: Neuropsychologic functioning in autism: profile of a complex information processing disorder. J Int Neuropsychol Soc 1997; 3:303-316
2. Loth E, Happé F, Gómez JC: Variety is not the spice of life for people with autism spectrum disorders: frequency ratings of central, variable and inappropriate aspects of common real-life events. J Autism Dev Disord 2010; 40:730-742
3. Schipul SE, Williams DL, Keller TA, Minshew NJ, Just MA: Distinctive neural processes during learning in autism. Cereb Cortex 2012; 22:937-950
4. Gaigg SB, Bowler DM: Differential fear conditioning in Asperger's syndrome: implications for an amygdala theory of autism. Neuro-psychologia 2007; 45:2125-2134
5. Solomon M, Smith AC, Frank MJ, Ly S, Carter CS: Probabilistic reinforcement learning in adults with autism spectrum disorders. Autism Res 2011; 4:109-120
6. Stokes TF, Baer DM: An implicit technology of generalization. J Appl Behav Anal 1977; 10:349-367
7. D'Cruz AM, Ragozzino ME, Mosconi MW, Shrestha S, Cook EH, Sweeney JA: Reduced behavioral flexibility in autism spectrum disorders. Neuropsychology 2013; 27:152-160
8. Heerey EA: Learning from social rewards predicts individual differences in self-reported social ability. J Exp Psychol Gen 2013; 143:332-339
9. Solomon M, Frank MJ, Smith AC, Ly S, Carter CS: Transitive inference in adults with autism spectrum disorders. Cogn Affect Behav Neurosci 2011; 11:437-449
10. Frank MJ, Seeberger LC, O'reilly RC: By carrot or by stick: cognitive reinforcement learning in parkinsonism. Science 2004; 306: 1940-1943
11. Schultz W, Dayan P, Montague PR: A neural substrate of prediction and reward. Science 1997; 275:1593-1599
12. McDannald MA, Jones JL, Takahashi YK, Schoenbaum G: Learning theory: a driving force in understanding orbitofrontal function. Neurobiol Learn Mem 2013; 108:22-27
13. Collins AG, Frank MJ: How much of reinforcement learning is working memory, not reinforcement learning? a behavioral, computational, and neurogenetic analysis. Eur J Neurosci 2012; 35:1024-1035
14. Silvetti M, Alexander W, Verguts T, Brown JW: From conflict management to reward-based decision making: actors and critics in primate medial frontal cortex. Neurosci Biobehav Rev (Epub ahead of print, Nov 15, 2013)
15. Braver TS: The variable nature of cognitive control: a dual mechanisms framework. Trends Cogn Sci 2012; 16:106-113
16. Solomon M, Ozonoff SJ, Cummings N, Carter CS: Cognitive control in autism spectrum disorders. Int J Dev Neurosci 2008; 26:239-247
17. Solomon M, Ozonoff SJ, Ursu S, Ravizza S, Cummings N, Ly S, Carter CS: The neural substrates of cognitive control deficits in autism spectrum disorders. Neuropsychologia 2009; 47:2515-2526
18. Solomon M, Yoon JH, Ragland JD, Niendam TA, Lesh TA, Fairbrother W, Carter CS: The development of the neural substrates of cognitive control in adolescents with autism spectrum disorders. Biol Psychiatry (Epub ahead of print, Oct 24, 2013)
19. Erikson EH: Identity: Youth and Crisis, 1st ed. New York, WW Norton, 1968, p 336
20. Button KS, Ioannidis JP, Mokrysz C, Nosek BA, Flint J, Robinson ES, Munafò MR: Power failure: why small sample size undermines the reliability of neuroscience. Nat Rev Neurosci 2013; 14:365-376
21. Desmond JE, Glover GH: Estimating sample size in functional MRI (fMRI) neuroimaging studies: statistical power analyses. J Neurosci Methods 2002; 118:115-128
22. Nydén A, Hjelmquist E, Gillberg C: Autism spectrum and attention-deficit disorders in girls: some neuropsychological aspects. Eur Child Adolesc Psychiatry 2000; 9:180-185
23. Wechsler D: Wechsler Abbreviated Scale of Intelligence (WASI). San Antonio, Tex, Harcourt Assessment, 1999
24. Lord C, Risi S, Lambrecht L, Cook EH Jr, Leventhal BL, Di Lavore PC, Pickles A, Rutter M: The Autism Diagnostic Observation Schedule-Generic: a standard measure of social and communication deficits associated with the spectrum of autism. J Autism Dev Disord 2000; 30:205-223
25. Waltz JA, Frank MJ, Robinson BM, Gold JM: Selective reinforcement learning deficits in schizophrenia support predictions from computational models of striatal-cortical dysfunction. Biol Psychiatry 2007; 62:756-764
26. Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE: Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 2012; 59: 2142-2154
27. Friston KJ, Holmes A, Poline JB, Price CJ, Frith CD: Detecting activations in PET and fMRI: levels of inference and power. Neuroimage 1996; 4:223-235
28. Chevallier C, Kohls G, Troiani V, Brodkin ES, Schultz RT: The social motivation theory of autism. Trends Cogn Sci 2012; 16:231-239
29. Dichter GS, Richey JA, Rittenberg AM, Sabatino A, Bodfish JW: Reward circuitry function in autism during face anticipation and outcomes. J Autism Dev Disord 2012; 42:147-160
30. Dichter GS, Felder JN, Green SR, Rittenberg AM, Sasson NJ, Bodfish JW: Reward circuitry function in autism spectrum disorders. Soc Cogn Affect Neurosci 2012; 7:160-172
31. Kohls G, Schulte-Rüther M, Nehrkorn B, Müller K, Fink GR, Kamp-Becker I, Herpertz-Dahlmann B, Schultz RT, Konrad K: Reward system dysfunction in autism spectrum disorders. Soc Cogn Affect Neurosci 2013; 8:565-572
32. Scott-Van Zeeland AA, Dapretto M, Ghahremani DG, Poldrack RA, Bookheimer SY: Reward processing in autism. Autism Res 2010; 3: 53-67
33. Schmitz N, Rubia K, van Amelsvoort T, Daly E, Smith A, Murphy DGM: Neural correlates of reward in autism. Br J Psychiatry 2008; 192:19-24
34. McPartland JC, Crowley MJ, Perszyk DR, Naples A, Mukerji CE, Wu J, Molfese P, Bolling DZ, Pelphrey KA, Mayes LC: Temporal dynamics reveal atypical brain response to social exclusion in autism. Dev Cogn Neurosci 2011; 1:271-279
35. South M, Chamberlain PD, Wigham S, Newton T, Le Couteur A, McConachie H, Gray L, Freeston M, Parr J, Kirwan CB, Rodgers J: Enhanced decision making and risk avoidance in high-functioning autism spectrum disorder. Neuropsychology 2013; 28:222-228
36. Dawson G, Rogers S, Munson J, Smith M, Winter J, Greenson J, Donaldson A, Varley J: Randomized, controlled trial of an intervention for toddlers with autism: the Early Start Denver Model. Pediatrics 2010; 125:e17-e23
37. Solomon M, Goodlin-Jones BL, Anders TF: A social adjustment enhancement intervention for high functioning autism, Asperger's syndrome, and pervasive developmental disorder NOS. J Autism Dev Disord 2004; 34:649-668
38. Solomon M, Ono M, Timmer S, Goodlin-Jones B: The effectiveness of parent-child interaction therapy for families of children on the autism spectrum. J Autism Dev Disord 2008; 38:1767-1776
39. Etkin A, Egner T, Kalisch R: Emotional processing in anterior cingulate and medial prefrontal cortex. Trends Cogn Sci 2011; 15: 85-93
40. Mazefsky CA, Herrington J, Siegel M, Scarpa A, Maddox BB, Scahill L, White SW: The role of emotion regulation in autism spectrum disorder. J Am Acad Child Adolesc Psychiatry 2013; 52: 679-688
41. Hooker CI, Verosky SC, Miyakawa A, Knight RT, D'Esposito M: The influence of personality on neural mechanisms of observational fear and reward learning. Neuropsychologia 2008; 46:2709-2724
42. Tzschoppe J, Nees F, Banaschewski T, Barker GJ, Buchel C, Conrod PJ, Garavan H, Heinz A, Loth E, Mann K, Martinot JL, Smolka MN, Gallinat J, Strohle A, Struve M, Rietschel M, Schumann G, Flor H: Aversive learning in adolescents: modulation by amygdala-prefrontal and amygdala-hippocampal connectivity and neuroticism. Neuropsychopharmacology 2013;39:875-884
43. van Leijenhorst L, Crone EA, Bunge SA: Neural correlates of developmental differences in risk estimation and feedback processing. Neuropsychologia 2006; 44:2158-2170
44. Mumford JA, Nichols TE: Power calculation for group fMRI studies accounting for arbitrary design and temporal autocorrelation. Neuroimage 2008; 39:261-268
45. Joyce KE, Hayasaka S: Development of PowerMap: a software package for statistical power calculation in neuroimaging studies. Neuroinformatics 2012; 10:351-365
46. Geschwind DH: Autism: many genes, common pathways? Cell 2008; 135:391-395