The effect of preprocessing in dynamic functional network connectivity used to classify mild traumatic brain injury.

ABSTRACT:

Introduction

Dynamic functional network connectivity (dFNC), derived from magnetic resonance imaging (fMRI), is an important technique in the search for biomarkers of brain diseases such as mild traumatic brain injury (mTBI). At the individual level, mTBI can affect cognitive functions and change personality traits. Previous research aimed at detecting significant changes in the dFNC of mTBI subjects. However, one of the main concerns in dFNC analysis is the appropriateness of methods used to correct for subject movement. In this work, we focus on the effect that rearranging movement correction at different points of the processing pipeline has in dFNC analysis utilizing mTBI data.

Methods

The sample cohort consists of 50 mTBI patients and matched healthy controls. A 5-min r

SUBMITTER: Vergara VM 

PROVIDER: S-EPMC5651393 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature