Title |
Multisite functional connectivity MRI classification of autism: ABIDE results
|
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Published in |
Frontiers in Human Neuroscience, January 2013
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DOI | 10.3389/fnhum.2013.00599 |
Pubmed ID | |
Authors |
Jared A. Nielsen, Brandon A. Zielinski, P. Thomas Fletcher, Andrew L. Alexander, Nicholas Lange, Erin D. Bigler, Janet E. Lainhart, Jeffrey S. Anderson |
Abstract |
Systematic differences in functional connectivity MRI metrics have been consistently observed in autism, with predominantly decreased cortico-cortical connectivity. Previous attempts at single subject classification in high-functioning autism using whole brain point-to-point functional connectivity have yielded about 80% accurate classification of autism vs. control subjects across a wide age range. We attempted to replicate the method and results using the Autism Brain Imaging Data Exchange (ABIDE) including resting state fMRI data obtained from 964 subjects and 16 separate international sites. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 14% |
Canada | 1 | 14% |
France | 1 | 14% |
United States | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 57% |
Members of the public | 3 | 43% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 1% |
Brazil | 2 | <1% |
Finland | 1 | <1% |
Germany | 1 | <1% |
Singapore | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 300 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 64 | 21% |
Student > Master | 46 | 15% |
Researcher | 39 | 13% |
Student > Bachelor | 24 | 8% |
Student > Doctoral Student | 21 | 7% |
Other | 53 | 17% |
Unknown | 63 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 54 | 17% |
Computer Science | 41 | 13% |
Psychology | 40 | 13% |
Engineering | 26 | 8% |
Medicine and Dentistry | 17 | 5% |
Other | 50 | 16% |
Unknown | 82 | 26% |