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Benchmarking functional connectome-based predictive models for resting-state fMRI

Benchmarking functional connectome-based predictive models for resting-state fMRI

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_01824205v3

Benchmarking functional connectome-based predictive models for resting-state fMRI

About this item

Full title

Benchmarking functional connectome-based predictive models for resting-state fMRI

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2019-05, Vol.192 (192), p.115-134

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

Functional connectomes reveal biomarkers of individual psychological or clinical traits. However, there is great variability in the analytic pipelines typically used to derive them from rest-fMRI cohorts. Here, we consider a specific type of studies, using predictive models on the edge weights of functional connectomes, for which we highlight the b...

Alternative Titles

Full title

Benchmarking functional connectome-based predictive models for resting-state fMRI

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_hal_primary_oai_HAL_hal_01824205v3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_01824205v3

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2019.02.062

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