Physical characteristics not psychological state or trait characteristics predict motion during resting state fMRI.

ABSTRACT: Head motion (HM) during fMRI acquisition can significantly affect measures of brain activity or connectivity even after correction with preprocessing methods. Moreover, any systematic relationship between HM and variables of interest can introduce systematic bias. There is a large and growing interest in identifying neural biomarkers for psychiatric disorders using resting state fMRI (rsfMRI). However, the relationship between HM and different psychiatric symptoms domains is not well understood. The aim of this investigation was to determine whether psychiatric symptoms and other characteristics of the individual predict HM during rsfMRI. A sample of n = 464 participants (174 male) from the Tulsa1000, a naturalistic longitudinal study recruiting subjects with different levels of severity i

SUBMITTER: Ekhtiari H 

PROVIDER: S-EPMC6344520 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature