Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

ABIDE

General information

URL: http://fcon_1000.projects.nitrc.org/indi/abide/
Full name: Autism Brain Imaging Data Exchange
Description: The Autism Brain Imaging Data Exchange (ABIDE) initiative has aggregated functional and structural brain imaging data collected from laboratories around the world to accelerate our understanding of the neural bases of autism.
Year founded: 2014
Last update: 2017
Version:
Accessibility:
Accessible
Country/Region: United States

Classification & Tag

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Contact information

University/Institution: Nathan Kline Institute
Address: Nathan S Kline Institute for Psychiatric Research, Orangeburg, NY, USA
City: Oraneburg
Province/State: New York
Country/Region: United States
Contact name (PI/Team): M P Milham
Contact email (PI/Helpdesk): michael.milham@childmind.org

Publications

23774715
The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. [PMID: 23774715]
Di Martino A, Yan CG, Li Q, Denio E, Castellanos FX, Alaerts K, Anderson JS, Assaf M, Bookheimer SY, Dapretto M, Deen B, Delmonte S, Dinstein I, Ertl-Wagner B, Fair DA, Gallagher L, Kennedy DP, Keown CL, Keysers C, Lainhart JE, Lord C, Luna B, Menon V, Minshew NJ, Monk CS, Mueller S, Müller RA, Nebel MB, Nigg JT, O'Hearn K, Pelphrey KA, Peltier SJ, Rudie JD, Sunaert S, Thioux M, Tyszka JM, Uddin LQ, Verhoeven JS, Wenderoth N, Wiggins JL, Mostofsky SH, Milham MP.

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.

Mol Psychiatry. 2014:19(6) | 1466 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
133/6895 (98.086%)
Raw bio-data:
14/582 (97.766%)
Metadata:
14/719 (98.192%)
133
Total Rank
1,356
Citations
123.273
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Record metadata

Created on: 2018-01-28
Curated by:
huma shireen [2018-12-27]
raza muhammad [2018-04-13]
Qi Wang [2018-01-28]