Original paper
Spatial parcellations, spectral filtering, and connectivity measures in fMRI: Optimizing for discrimination
Abstract
The analysis of Functional Connectivity (FC) is a key technique of fMRI, having been used to distinguish brain states and conditions. While many approaches to calculating FC are available, there have been few assessments of their differences, making it difficult to choose approaches, and compare results. Here, we assess the impact of methodological choices on discriminability, using a fully controlled data set of continuous active states...
Paper Details
Title
Spatial parcellations, spectral filtering, and connectivity measures in fMRI: Optimizing for discrimination
Published Date
Sep 26, 2018
Journal
Volume
40
Issue
2
Pages
407 - 419
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Notes
History