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

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.
PMID: 30739880 [PubMed - as supplied by publisher]

Source: Current Opinion in Neurobiology - February 7, 2019 Category: Neurology Authors: Foti NJ, Fox EB Tags: Curr Opin Neurobiol Source Type: research