The autism brain imaging data exchange: Towards a large-scale evaluation of the intrinsic brain architecture in autism

Molecular Psychiatry

Volumn 19, Issue 6, 2014, Pages 659-667

  Di Martino, A ^a   Yan, C G ^b   Li, Q ^c   Denio, E ^a   Castellanos, F X ^a,b   Alaerts, K ^a,d   Anderson, J S ^e,f,g   Assaf, M ^h,i   Bookheimer, S Y ^j,k,l   Dapretto, M ^j,k   Deen, B ^i,m   Delmonte, S ⁿ   Dinstein, I ^o,p   Ertl Wagner, B ^q   Fair, D A ^r   Gallagher, L ⁿ   Kennedy, D P ^s,t   Keown, C L ^u   Keysers, C ^v,w   Lainhart, J E ^x,y   Lord, C ^z   Luna, B ^aa   Menon, V ^ab   Minshew, N J ^aa   Monk, C S ^ac   Mueller, S ^q   Muller R A ^u   Nebel, M B ^ad   Nigg, J T ^r   O'Hearn, K ^aa   Pelphrey, K A ⁱ   Peltier, S J ^ac   Rudie, J D ^j,k,l   Sunaert, S ^d   Thioux, M ^v,w   Tyszka, J M ^s   Uddin, L Q ^ab   Verhoeven, J S ^d   Wenderoth, N ^d   Wiggins, J L ^ac   Mostofsky, S H ^ad,ae   Milham, M P ^b,c   more..

^a NEW YORK UNIVERSITY CHILD STUDY CENTER   (United States)

^b NATHAN S KLINE INSTITUTE FOR PSYCHIATRIC RESEARCH   (United States)

^c CHILD MIND INSTITUTE   (United States)

^d UNIVERSITY OF LEUVEN   (Belgium)

^e UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^f The Brain Institute at the University of Utah   (United States)

^g Department of Electrical and Computer Engineering   (United States)

^h INSTITUTE OF LIVING   (United States)

ⁱ YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^j UNIVERSITY OF CALIFORNIA   (United States)

^k UNIVERSITY OF CALIFORNIA   (United States)

^l UNIVERSITY OF CALIFORNIA   (United States)

^m MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

ⁿ TRINITY COLLEGE DUBLIN   (Ireland)

^o CARNEGIE MELLON UNIVERSITY   (United States)

^p BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

^q LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

^r OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^s CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^t INDIANA UNIVERSITY   (United States)

^u SAN DIEGO STATE UNIVERSITY   (United States)

^v NETHERLANDS INSTITUTE FOR NEUROSCIENCE   (Netherlands)

^w UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

^x UNIVERSITY OF WISCONSIN MADISON   (United States)

^y UNIVERSITY OF WISCONSIN MADISON   (United States)

^z WEILL CORNELL MEDICAL COLLEGE   (United States)

^aa UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^ab STANFORD UNIVERSITY   (United States)

^ac UNIVERSITY OF MICHIGAN   (United States)

^ad KENNEDY KRIEGER INSTITUTE   (United States)

^ae JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

more..

Author keywords

data sharing; default network; interhemispheric connectivity; intrinsic functional connectivity; resting state fMRI; thalamus

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; AUTISM; BRAIN CORTEX; BRAIN FUNCTION; CHILD; CONNECTOME; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DEFAULT MODE NETWORK; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HEALTH SURVEY; HEMISPHERE; HUMAN; MAJOR CLINICAL STUDY; MALE; PHENOTYPE; POSTERIOR CINGULATE; POSTERIOR INSULA; PRIORITY JOURNAL; THALAMUS; BRAIN; BRAIN MAPPING; INFORMATION DISSEMINATION; INTERNET; MIDDLE AGED; NERVE TRACT; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PATHOPHYSIOLOGY; SIGNAL PROCESSING; YOUNG ADULT;

ADOLESCENT; ADULT; BRAIN; BRAIN MAPPING; CHILD; CHILD DEVELOPMENT DISORDERS, PERVASIVE; CONNECTOME; HUMANS; INFORMATION DISSEMINATION; INTERNET; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEURAL PATHWAYS; NEUROIMAGING; PHENOTYPE; SIGNAL PROCESSING, COMPUTER-ASSISTED; YOUNG ADULT;

EID: 84901284227     PISSN: 13594184     EISSN: 14765578     Source Type: Journal    
DOI: 10.1038/mp.2013.78     Document Type: Article

References (75)

1. Centers for Disease Control and Prevention. Prevalence of autism spectrum disorders - autism and developmental disabilities monitoring network, 14 sites, United States, 2008. MMWR Surveill Summ 2012; 61: 1-19.
2. Kim YS, Leventhal BL, Koh YJ, Fombonne E, Laska E, Lim EC et al. Prevalence of autism spectrum disorders in a total population sample. Am J Psychiatry 2011; 168: 904-912.
3. Lord C, Petkova E, Hus V, Gan W, Lu F, Martin DM et al. A multisite study of the clinical diagnosis of different autism spectrum disorders. Arch Gen Psychiatry 2012; 69: 306-313.
4. Lord C, Risi S, Lambrecht L, Cook EH, Leventhal BL, DiLavore PC et al. The Autism Diagnostic Observation Schedule-Generic: A standard measure of social and communication deficits associated with the spectrum of autism. Journal of Autism and Developmental Disorders 2000; 30: 205-223.
5. Geschwind DH, Sowinski J, Lord C, Iversen P, Shestack J, Jones P et al. The autism genetic resource exchange: a resource for the study of autism and related neuropsychiatric conditions. Am J Hum Genet 2001; 69: 463-466.
6. Moreno-De-Luca D, Sanders SJ, Willsey AJ, Mulle JG, Lowe JK, Geschwind DH et al. Using large clinical data sets to infer pathogenicity for rare copy number variants in autism cohorts. Mol Psychiatry advance online publication, 9 October 2012; doi:10.1038/mp.2012.138 (e-pub ahead of print).
7. Fischbach GD, Lord C. The Simons Simplex Collection: a resource for identification of autism genetic risk factors. Neuron 2010; 68: 192-195.
8. Szatmari P, Paterson AD, Zwaigenbaum L, Roberts W, Brian J, Liu XQ et al. Mapping autism risk loci using genetic linkage and chromosomal rearrangements. Nat Genet 2007; 39: 319-328.
9. Minshew NJ, Williams DL. The new neurobiology of autism: cortex, connectivity, and neuronal organization. Arch Neurol 2007; 64: 945-950.
10. Just MA, Cherkassky VL, Keller TA, Minshew NJ. Cortical activation and synchronization during sentence comprehension in high-functioning autism: evidence of underconnectivity. Brain 2004; 127(Part 8): 1811-1821.
11. Vissers ME, Cohen MX, Geurts HM. Brain connectivity and high functioning autism: a promising path of research that needs refined models, methodological convergence, and stronger behavioral links. Neurosci Biobehav Rev 2012; 36: 604-625.
12. Shehzad Z, Kelly AM, Reiss PT, Gee DG, Gotimer K, Uddin LQ et al. The resting brain: unconstrained yet reliable. Cereb Cortex 2009; 19: 2209-2229.
13. Van Dijk KR, Hedden T, Venkataraman A, Evans KC, Lazar SW, Buckner RL. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. J Neurophysiol 2010; 103: 297-321.
14. Kelly C, Biswal BB, Craddock RC, Castellanos FX, Milham MP. Characterizing variation in the functional connectome: promise and pitfalls. Trends Cogn Sci 2012; 16: 181-188.
15. Biswal BB, Mennes M, Zuo XN, Gohel S, Kelly C, Smith SM et al. Toward discovery science of human brain function. Proc Natl Acad Sci USA 2010; 107: 4734-4739.
16. Mennes M, Biswal B, Castellanos FX, Milham MP. Making data sharing work: the FCP/INDI experience. NeuroImage advance online publication, 30 October 2012; doi:10.1016/j.neuroimage.2012.10.064 (e-pub ahead of print).
17. ADHD-200 Consortium. The ADHD-200 Consortium: a model to advance the translational potential of neuroimaging in clinical neuroscience. Front Syst Neurosci 2012; 6: 1-5.
18. Fair DA, Nigg JT, Iyer S, Bathula D, Mills KL, Dosenbach NU et al. Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data. Front Syst Neurosci 2012; 6: 80.
19. Tomasi D, Volkow ND. Abnormal functional connectivity in children with attention- deficit/hyperactivity disorder. Biol Psychiatry 2012; 71: 443-450.
20. Muller RA, Shih P, Keehn B, Deyoe JR, Leyden KM, Shukla DK. Underconnected, but how? A survey of functional connectivity MRI studies in autism spectrum disorders. Cereb Cortex 2011; 21: 2233-2243.
21. Gotts SJ, Simmons WK, Milbury LA, Wallace GL, Cox RW, Martin A. Fractionation of social brain circuits in autism spectrum disorders. Brain 2012; 135(Part 9): 2711-2725.
22. Kennedy DP, Redcay E, Courchesne E. Failing to deactivate: resting functional abnormalities in autism. Proc Natl Acad Sci USA 2006; 103: 8275-8280.
23. Assaf M, Jagannathan K, Calhoun VD, Miller L, Stevens MC, Sahl R et al. Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients. NeuroImage 2010; 53: 247-256.
24. Monk CS, Peltier SJ, Wiggins JL, Weng SJ, Carrasco M, Risi S et al. Abnormalities of intrinsic functional connectivity in autism spectrum disorders. NeuroImage 2009; 47: 764-772.
25. Rudie JD, Shehzad Z, Hernandez LM, Colich NL, Bookheimer SY, Iacoboni M et al. Reduced functional integration and segregation of distributed neural systems underlying social and emotional information processing in autism spectrum disorders. Cereb Cortex 2012; 22: 1025-1037.
26. Andrews-Hanna JR, Reidler JS, Sepulcre J, Poulin R, Buckner RL. Functional-anatomic fractionation of the brain's default network. Neuron 2010; 65: 550-562.
27. Paakki JJ, Rahko J, Long X, Moilanen I, Tervonen O, Nikkinen J et al. Alterations in regional homogeneity of resting-state brain activity in autism spectrum disorders. Brain Res 2010; 1321: 169-179.
28. Dinstein I, Pierce K, Eyler L, Solso S, Malach R, Behrmann M et al. Disrupted neural synchronization in toddlers with autism. Neuron 2011; 70: 1218-1225.
29. Anderson JS, Druzgal TJ, Froehlich A, DuBray MB, Lange N, Alexander AL et al. Decreased interhemispheric functional connectivity in autism. Cereb Cortex 2011; 21: 1134-1146.
30. Zuo XN, Ehmke R, Mennes M, Imperati D, Castellanos FX, Sporns O et al. Network centrality in the human functional connectome. Cereb Cortex 2012; 22: 1862-1875.
31. Buckner RL, Sepulcre J, Talukdar T, Krienen FM, Liu H, Hedden T et al. Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease. J Neurosci 2009; 29: 1860-1873.
32. Zuo XN, Di Martino A, Kelly C, Shehzad ZE, Gee DG, Klein DF et al. The oscillating brain: complex and reliable. NeuroImage 2010; 49: 1432-1445.
33. 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.
34. Kennedy DN, Lange N, Makris N, Bates J, Meyer J, Caviness Jr VS. Gyri of the human neocortex: an MRI-based analysis of volume and variance. Cereb Cortex 1998; 8: 372-384.
35. Craddock RC, James GA, Holtzheimer III PE, Hu XP, Mayberg HS. A whole brain fMRI atlas generated via spatially constrained spectral clustering. Hum Brain Mapp 2012; 33: 1914-1928.
36. Zang Y, Jiang T, Lu Y, He Y, Tian L. Regional homogeneity approach to fMRI data analysis. NeuroImage 2004; 22: 394-400.
37. Zuo XN, Kelly C, Di Martino A, Mennes M, Margulies DS, Bangaru S et al. Growing together and growing apart: regional and sex differences in the lifespan developmental trajectories of functional homotopy. J Neurosci 2010; 30: 15034-15043.
38. Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 2009; 10: 186-198.
39. Behzadi Y, Restom K, Liau J, Liu TT. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. NeuroImage 2007; 37: 90-101.
40. Mesulam MM. From sensation to cognition. Brain 1998; 121(Part 6): 1013-1052.
41. Stark DE, Margulies DS, Shehzad ZE, Reiss P, Kelly AM, Uddin LQ et al. Regional variation in interhemispheric coordination of intrinsic hemodynamic fluctuations. J Neurosci 2008; 28: 13754-13764.
42. Cherkassky VL, Kana RK, Keller TA, Just MA. Functional connectivity in a baseline resting-state network in autism. NeuroReport 2006; 17: 1687-1690.
43. Weng SJ, Wiggins JL, Peltier SJ, Carrasco M, Risi S, Lord C et al. Alterations of resting state functional connectivity in the default network in adolescents with autism spectrum disorders. Brain Res 2010; 1313: 202-214.
44. Jones TB, Bandettini PA, Kenworthy L, Case LK, Milleville SC, Martin A et al. Sources of group differences in functional connectivity: an investigation applied to autism spectrum disorder. NeuroImage 2010; 49: 401-414.
45. Yan C, Yu-Feng Z. DPARSF: a MATLAB toolbox for 'pipeline' data analysis of resting-state fMRI. Front Syst Neurosci 2010; 4: 13.
46. Genovese CR, Lazar NA, Nichols T. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. NeuroImage 2002; 15: 870-878.
47. Van Dijk KR, Sabuncu MR, Buckner RL. The influence of head motion on intrinsic functional connectivity MRI. NeuroImage 2012; 59: 431-438.
48. Satterthwaite TD, Wolf DH, Loughead J, Ruparel K, Elliott MA, Hakonarson H et al. Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth. NeuroImage 2012; 60: 623-632.
49. Yan C, Cheung B, Kelly C, Colcombe S, Craddock C, Di Martino A et al. Comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. NeuroImage 2013; 76: 183-201.
50. Gotham K, Pickles A, Lord C. Standardizing ADOS scores for a measure of severity in autism spectrum disorders. J Autism Dev Disord 2009; 39: 693-705.
51. Just MA, Keller TA, Malave VL, Kana RK, Varma S. Autism as a neural systems disorder: a theory of frontal-posterior underconnectivity. Neurosci Biobehav Rev 2012; 36: 1292-1313.
52. Di Martino A, Kelly C, Grzadzinski R, Zuo XN, Mennes M, Mairena MA et al. Aberrant striatal functional connectivity in children with autism. Biol Psychiatry 2011; 69: 847-856.
53. Schultz RT, Gauthier I, Klin A, Fulbright RK, Anderson AW, Volkmar F et al. Abnormal ventral temporal cortical activity during face discrimination among individuals with autism and Asperger syndrome. Arch Gen Psychiatry 2000; 57: 331-340.
54. Kaiser MD, Hudac CM, Shultz S, Lee SM, Cheung C, Berken AM et al. Neural signatures of autism. Proc Natl Acad Sci USA 2010; 107: 21223-21228.
55. Lewis JD, Theilmann RJ, Fonov V, Bellec P, Lincoln A, Evans AC et al. Callosal fiber length and interhemispheric connectivity in adults with autism: brain overgrowth and underconnectivity. Hum Brain Mapp 2013; doi:10.1002/hbm.22018 (e-pub ahead of print).
56. Hardan AY, Pabalan M, Gupta N, Bansal R, Melhem NM, Fedorov S et al. Corpus callosum volume in children with autism. Psychiatry Res 2009; 174: 57-61.
57. Piven J, Bailey J, Ranson BJ, Arndt S. An MRI study of the corpus callosum in autism. Am J Psychiatry 1997; 154: 1051-1056.
58. Cheon KA, Kim YS, Oh SH, Park SY, Yoon HW, Herrington J et al. Involvement of the anterior thalamic radiation in boys with high functioning autism spectrum disorders: a diffusion tensor imaging study. Brain Res 2011; 1417: 77-86.
59. Shukla DK, Keehn B, Lincoln AJ, Muller RA. White matter compromise of callosal and subcortical fiber tracts in children with autism spectrum disorder: a diffusion tensor imaging study. J Am Acad Child Adolesc Psychiatry 2010; 49: 1269-12781278 and 1261-1262.
60. Hong S, Ke X, Tang T, Hang Y, Chu K, Huang H et al. Detecting abnormalities of corpus callosum connectivity in autism using magnetic resonance imaging and diffusion tensor tractography. Psychiatry Res 2011; 194: 333-339.
61. Alexander AL, Lee JE, Lazar M, Boudos R, Dubray MB, Oakes TR et al. Diffusion tensor imaging of the corpus callosum in autism. NeuroImage 2007; 34: 61-73.
62. Banich MT. The missing link: the role of interhemispheric interaction in attentional processing. Brain Cogn 1998; 36: 128-157.
63. 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.
64. Uddin LQ, Menon V. The anterior insula in autism: under-connected and underexamined. Neurosci Biobehav Rev 2009; 33: 1198-1203.
65. Ebisch SJ, Gallese V, Willems RM, Mantini D, Groen WB, Romani GL et al. Altered intrinsic functional connectivity of anterior and posterior insula regions in high-functioning participants with autism spectrum disorder. Hum Brain Mapp 2011; 32: 1013-1028.
66. Di Martino A, Shehzad Z, Kelly C, Roy AK, Gee DG, Uddin LQ et al. Relationship between cingulo-insular functional connectivity and autistic traits in neurotypical adults. Am J Psychiatry 2009; 166: 891-899.
67. Kennedy DP, Courchesne E. Functional abnormalities of the default network during self- and other-reflection in autism. Soc Cogn Affect Neurosci 2008; 3: 177-190.
68. Kennedy DP, Courchesne E. The intrinsic functional organization of the brain is altered in autism. NeuroImage 2008; 39: 1877-1885.
69. Di Martino A, Ross K, Uddin LQ, Sklar AB, Castellanos FX, Milham MP. Functional brain correlates of social and nonsocial processes in autism spectrum disorders: an activation likelihood estimation meta-analysis. Biol Psychiatry 2009; 65: 63-74.
70. Mizuno A, Villalobos ME, Davies MM, Dahl BC, Muller RA. Partially enhanced thalamocortical functional connectivity in autism. Brain Res 2006; 1104: 160-174.
71. Lai MC, Lombardo MV, Chakrabarti B, Sadek SA, Pasco G, Wheelwright SJ et al. A shift to randomness of brain oscillations in people with autism. Biol Psychiatry 2010; 68: 1092-1099.
72. Dinstein I, Heeger DJ, Lorenzi L, Minshew NJ, Malach R, Behrmann M. Unreliable evoked responses in autism. Neuron 2012; 75: 981-991.
73. Supekar K, Musen M, Menon V. Development of large-scale functional brain networks in children. PLoS Biol 2009; 7: e1000157.
74. Redcay E, Courchesne E. Deviant functional magnetic resonance imaging patterns of brain activity to speech in 2-3-year-old children with autism spectrum disorder. Biol Psychiatry 2008; 64: 589-598.
75. Hall D, Huerta MF, McAuliffe MJ, Farber GK. Sharing heterogeneous data: the national database for autism research. Neuroinformatics 2012; 10: 331-339.