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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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_01398867v1

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

About this item

Full title

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2017-02, Vol.147, p.736-745

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

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...

Alternative Titles

Full title

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

Identifiers

Primary Identifiers

Record Identifier

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

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2016.10.045

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