Ten simple rules for predictive modeling of individual differences in neuroimaging.

Abstract:

:Establishing brain-behavior associations that map brain organization to phenotypic measures and generalize to novel individuals remains a challenge in neuroimaging. Predictive modeling approaches that define and validate models with independent datasets offer a solution to this problem. While these methods can detect novel and generalizable brain-behavior associations, they can be daunting, which has limited their use by the wider connectivity community. Here, we offer practical advice and examples based on functional magnetic resonance imaging (fMRI) functional connectivity data for implementing these approaches. We hope these ten rules will increase the use of predictive models with neuroimaging data.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Scheinost D,Noble S,Horien C,Greene AS,Lake EM,Salehi M,Gao S,Shen X,O'Connor D,Barron DS,Yip SW,Rosenberg MD,Constable RT

doi

10.1016/j.neuroimage.2019.02.057

subject

Has Abstract

pub_date

2019-06-01 00:00:00

pages

35-45

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(19)30153-3

journal_volume

193

pub_type

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