The connectivity domain: Analyzing resting state fMRI data using feature-based data-driven and model-based methods

Volume: 134, Pages: 494 - 507
Published: Jul 1, 2016
Abstract
Spontaneous fluctuations of resting state functional MRI (rsfMRI) have been widely used to understand the macro-connectome of the human brain. However, these fluctuations are not synchronized among subjects, which leads to limitations and makes utilization of first-level model-based methods challenging. Considering this limitation of rsfMRI data in the time domain, we propose to transfer the spatiotemporal information of the rsfMRI data to...
Paper Details
Title
The connectivity domain: Analyzing resting state fMRI data using feature-based data-driven and model-based methods
Published Date
Jul 1, 2016
Journal
Volume
134
Pages
494 - 507
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