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
Neuroimagejournal_title
NeuroImageauthors
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 RTdoi
10.1016/j.neuroimage.2019.02.057subject
Has Abstractpub_date
2019-06-01 00:00:00pages
35-45eissn
1053-8119issn
1095-9572pii
S1053-8119(19)30153-3journal_volume
193pub_type
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