Statistical model-based approaches for functional connectivity analysis of neuroimaging data.

Abstract:

:We present recent literature on model-based approaches to estimating functional connectivity from neuroimaging data. In contrast to the typical focus on a particular scientific question, we reframe a wider literature in terms of the underlying statistical model used. We distinguish between directed versus undirected and static versus time-varying connectivity. There are numerous advantages to a model-based approach, including easily specified inductive bias, handling limited data scenarios, and building complex models from simpler building blocks.

journal_name

Curr Opin Neurobiol

authors

Foti NJ,Fox EB

doi

10.1016/j.conb.2019.01.009

subject

Has Abstract

pub_date

2019-04-01 00:00:00

pages

48-54

eissn

0959-4388

issn

1873-6882

pii

S0959-4388(18)30157-0

journal_volume

55

pub_type

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