Body mass index associated with respiration predicts motion in resting‐state functional magnetic resonance imaging scans

Author:

Huang Shishi1,Vigotsky Andrew D.23,Apkarian Apkar Vania45ORCID,Huang Lejian45ORCID

Affiliation:

1. Department of Neurology The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University Wenzhou China

2. Department of Biomedical Engineering Northwestern University Evanston Illinois USA

3. Department of Statistics Northwestern University Evanston Illinois USA

4. Department of Neuroscience, Feinberg School of Medicine Northwestern University Chicago Illinois USA

5. Center for Translational Pain Research, Feinberg School of Medicine Northwestern University Chicago Illinois USA

Abstract

AbstractDecreasing body mass index (BMI) reduces head motion in resting‐state fMRI (rs‐fMRI) data. Yet, the mechanism by which BMI affects head motion remains poorly understood. Understanding how BMI interacts with respiration to affect head motion can improve head motion reduction strategies. A total of 254 patients with back pain were included in this study, each of whom had two visits (interval time = 13.85 ± 7.81 weeks) during which two consecutive re‐fMRI scans were obtained. We investigated the relationships between head motion and demographic and pain‐related characteristics—head motion was reliable across scans and correlated with age, pain intensity, and BMI. Multiple linear regression models determined that BMI was the main determinant in predicting head motion. BMI was also associated with two features derived from respiration signal. Anterior–posterior and superior–inferior motion dominated both overall motion magnitude and the coupling between motion and respiration. BMI interacted with respiration to influence motion only in the pitch dimension. These findings indicate that BMI should be a critical parameter in both study designs and analyses of fMRI data.

Funder

National Institutes of Health

National Science Foundation

Publisher

Wiley

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