The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
Open accessAbstract
Autism spectrum disorders (ASDs) represent a formidable challenge for psychiatry and neuroscience because of their high prevalence, lifelong nature, complexity and substantial heterogeneity. Facing these obstacles requires large-scale multidisciplinary efforts. Although the field of genetics has pioneered data sharing for these reasons, neuroimaging had not kept pace. In response, we introduce the Autism Brain Imaging Data Exchange (ABIDE)-a grassroots consortium aggregating and openly sharing 1112 existing resting-state functional magnetic resonance imaging (R-fMRI) data sets with corresponding structural MRI and phenotypic information from 539 individuals with ASDs and 573 age-matched typical controls (TCs; 7-64 years) (http://fcon_1000.projects.nitrc.org/indi/abide/). Here, we present this resource and demonstrate its suitability for advancing knowledge of ASD neurobiology based on analyses of 360 male subjects with ASDs and 403 male age-matched TCs. We focused on whole-brain intrinsic functional connectivity and also survey a range of voxel-wise measures of intrinsic functional brain architecture. Whole-brain analyses reconciled seemingly disparate themes of both hypo- and hyperconnectivity in the ASD literature; both were detected, although hypoconnectivity dominated, particularly for corticocortical and interhemispheric functional connectivity. Exploratory analyses using an array of regional metrics of intrinsic brain function converged on common loci of dysfunction in ASDs (mid- and posterior insula and posterior cingulate cortex), and highlighted less commonly explored regions such as the thalamus. The survey of the ABIDE R-fMRI data sets provides unprecedented demonstrations of both replication and novel discovery. By pooling multiple international data sets, ABIDE is expected to accelerate the pace of discovery setting the stage for the next generation of ASD studies.
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Differences in results between resting state connectivity studies could be due to the age of the participants, sex differences, heterogeneity, methodological concerns, or that both connectivity states exist in ASD.
“Differences in results between studies could be due to the age of the participants 82 , sex differences, heterogeneity, methodological concerns 83 or that both connectivity states exist in ASD.”
From Autism spectrum disorder (2020) · cites this paper as [83]
The Discussion (page unavailable) says the study reconciled conflicting findings by identifying both hypo- and hyperconnectivity in ASD, and the Results describe site-related variation and sensitivity to motion-correction methods. The paper also documents variation in age and diagnostic subtype across sites, but its imaging analyses were limited to males; it does not establish sex differences as an explanation for divergent findings. (LLM, conf=0.83)
Experimental — accuracy not yet measuredA recent study utilizing 590 6-35-year-old participants from the Autism Brain Imaging Data Exchange (ABIDE) achieved only 56 and 60% accuracy based on subcortical volumes and cortical thickness measures, respectively.
“A recent study utilizing 590 6–35-year-old participants from the Autism Brain Imaging Data Exchange (ABIDE38) data set, however, was more pessimistic. Using linear and non-linear discriminant analysis to perform multivariate classification based on anatomical measures (gray matter volume, cortical thickness and cortical surface area) the authors achieved only 56 and 60% accuracy based on subcorti”
From Progress and roadblocks in the search for brain-based biomarkers of autism and attention-deficit/hyperactivity disorder (2017) · cites this paper as [38]
Subcortical-cortical connectivity has been shown to be altered in ASD.
“sub-cortical cortical connectivity has been shown to be altered 55,57”
From Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm (2018) · cites this paper as [55]
In 7- to 18-year-old children from the Autism Brain Imaging Data Exchange, those with ASD showed weaker whole-brain connectivity for a longer period of time compared with typically developing children.
“A study of 7–18 year old children from the Autism Brain Imaging Data Exchange (ABIDE) (114) found that those with ASD showed weaker whole-brain connectivity for a longer period of time compared with TD children (115).”
From Brain Mechanisms Supporting Flexible Cognition and Behavior in Adolescents With Autism Spectrum Disorder (2021) · cites this paper as [114]
ABIDE contains both structural and functional brain images independently collected from more than 24 imaging laboratories/sites around the world.
“ABIDE contains both structural and functional brain images independently collected from more than 24 imaging laboratories/sites around the world.”
From Federated learning for medical image analysis: A survey (2024) · cites this paper as [103]
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- Authors
- Di Martino, A., Yan, C.-G., Li, Q., Denio, E., Castellanos, F. X., Alaerts, K., Anderson, J. S., Assaf, M., Bookheimer, S. Y., Dapretto, M., Deen, B., Delmonte, S., Dinstein, I., Ertl-Wagner, B., Fair, D. A., Gallagher, L., Kennedy, D. P., Keown, C. L., Keysers, C., Lainhart, J. E., Lord, C., Luna, B., Menon, V, Minshew, N. J., Monk, C. S., Mueller, S., Müller, R.-A., Nebel, M. B., Nigg, J. T., O'Hearn, K., Pelphrey, K. A., Peltier, S. J., Rudie, J. D., Sunaert, S., Thioux, M., Tyszka, J. M., Uddin, L. Q., Verhoeven, J. S., Wenderoth, N., Wiggins, J. L., Mostofsky, S. H., & Milham, M. P.
- Affiliations
- Nathan Kline Institute for Psychiatric Research (US)
- Child Mind Institute (US)
- NYU Langone Health (US)
- University of Utah (US)
- Hartford Hospital (US)
- University of California, Los Angeles (US)
- Yale University (US)
- Trinity College Dublin (IE)
- Ben-Gurion University of the Negev (IL)
- Ludwig-Maximilians-Universität München (DE)
- Oregon Health & Science University (US)
- California Institute of Technology (US)
- San Diego State University (US)
- Netherlands Institute for Neuroscience (NL)
- University of Wisconsin System (US)
- Weill Cornell Medicine (US)
- University of Pittsburgh (US)
- Stanford University (US)
- University of Michigan (US)
- Kennedy Krieger Institute (US)
- KU Leuven (BE)
- Corresponding author
- Milham, M P
- ORCID
- Yan, C-G
- Li, Q
- Denio, E
- Castellanos, F X
- Alaerts, K
- Anderson, J S
- Assaf, M
- Bookheimer, S Y
- Dapretto, M
- Deen, B
- Dinstein, I
- Ertl-Wagner, B
- Fair, D A
- Gallagher, L
- Kennedy, D P
- Keown, C L
- Keysers, C
- Lainhart, J E
- Lord, C
- Luna, B
- Menon, V
- Minshew, N J
- Monk, C S
- Nebel, M B
- Nigg, J T
- Pelphrey, K A
- Peltier, S J
- Rudie, J D
- Sunaert, S
- Thioux, M
- Tyszka, J M
- Uddin, L Q
- Wenderoth, N
- Wiggins, J L
- Mostofsky, S H
- Milham, M P
- Venue
- Molecular Psychiatry
- Published
- 2013-06-18
- Volume
- 19
- Issue
- 6
- Pages
- 659-667
- ISSN
- 1359-4184 (ISSN-L)
- 1476-5578
- PMC
- PMC4162310
- OpenAlex
- W2167868121
- Cited by
- 2,780
- References
- 77
- Citations by year
- 2026: 278 · 2025: 331 · 2024: 300 · 2023: 288 · 2022: 271 · 2021: 262 · 2020: 243 · 2019: 197 · 2018: 161 · 2017: 165 · 2016: 113 · 2015: 106 · 2014: 48 · 2013: 17
- FWCI
- 51.72
- Type
- journal article
- Language
- en
- Open access
- green
- pure.knaw.nl
- Licence
- Locations
- Molecular Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- KNAW research portal (Royal Academy of Art and Sciences (KNAW)) (publishedVersion, other-oa)
- PubMed Central (acceptedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- eScholarship (California Digital Library) (submittedVersion)
- Lirias (submittedVersion)
- KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences) (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Funders
- Autism Speaks (AS1344, AS2573, AS4773, AS5665, AS1403, AS1739)
- U.S. Department of Veterans Affairs (CDA13-017)
- Yale University (R01MH080721)
- Ben B. and Iris M. Margolis Foundation
- Oregon Health and Science University (R01MH081023)
- California Institute of Technology
- Leon Levy Foundation
- University of Pittsburgh (T32DC008553, K08MH092697, R01MH080826, R01NS34783, P50MH60450)
- European Commission (MEXT-CT-2005-023253)
- Ministry of Education, Culture, Sports, Science and Technology
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (400-08-089, 452-04-305, 051.07.003)
- Meath Foundation
- Stavros Niarchos Foundation
- Vlaamse regering
- National Institutes of Health (R01NS34783, P50MH60450)
- Michigan Institute for Clinical and Health Research
- National Institute of Mental Health (K01MH071284-YALE, MH084164, R01MH066496, P50MH060450, MH67924, R01MH080826, P50-MH60450, R03MH096321, K23MH087770, K01MH092288, R21MH079871, MH67924-PITT, K08MH092697, R01MH084164, R01MH094639, K01MH081191, R01MH081023, MH-066496, R00MH094409, R01MH080721, R01MH081023-SDSU, R00MH091238, K01MH092288-STANFORD, R01MH096773, KO1MH081191, R21MH084126, R01MH086654, P50MH094258, K01MH071284, BRAINSRO1MH094639-01, K99/R00MH094409-CALTECH, R01MH096773-OHSU, R01MH081218, P01MH047566, R21MH084126-NYU, R01MH100028, R01MH067924)
- National Institute on Deafness and Other Communication Disorders (T32DC008553-USM, R21DC011095, T32DC008553, F31DC010143, DC011095)
- National Institute of General Medical Sciences (T32GM008042)
- National Institute of Neurological Disorders and Stroke (R01 NS34783, R01NS048527, R01NS034783)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (U19HD035482, HD55748, 1R01HD06528001-UCLA1, P01HD035482, R01HD057173, P30HD003352, P50HD055748, R01HD065282, U19HD035482-UM1&UM2, P50HD055784, R01HD065280)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- autism spectrum disorder, neuroimaging data sharing, resting-state functional connectivity, hypoconnectivity, hyperconnectivity, corticocortical connectivity, interhemispheric connectivity, insula, posterior cingulate cortex, thalamus
- MeSH terms
- Adolescent, Adult, Brain, Brain Mapping, Child, Child Development Disorders, Pervasive, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neural Pathways, Phenotype, Signal Processing, Computer-Assisted, Internet, Information Dissemination, Young Adult, Neuroimaging, Connectome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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