Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
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United States: Elsevier Inc
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English
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Publisher
United States: Elsevier Inc
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Contents
Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the promise to reveal functional biomarkers of neuropsychiatric disorders. However, extracting such biomarkers is challenging for complex multi-faceted neuropathologies, such as autism spectrum disorders. Large multi-site datasets increase sample sizes to compensate for this complex...
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Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
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TN_cdi_hal_primary_oai_HAL_hal_01398867v1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_01398867v1
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ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2016.10.045