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

Decreasing 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.

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Publication Details

Journal
Human Brain Mapping
Published
2024-09-01
DOI
https://doi.org/10.1002/hbm.70015
Citations
3
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.21

Funders

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article

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

Shishi Huang, A. Vania Apkarian, Andrew David Vigotsky, L. Q. Huang
3 citations
Human Brain Mapping
Advanced Neuroimaging Techniques and Applications
1.21
article

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

Shishi Huang, A. Vania Apkarian, Andrew David Vigotsky, L. Q. Huang
article en
3 citations

Abstract

Decreasing 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.

Human Brain MappingVol. 45(13)
Northwestern University (US), Wenzhou Medical University (CN), Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University (CN)
National Science Foundation, National Institutes of Health
Openalex Percentile: Top 20%
Advanced Neuroimaging Techniques and Applications
1.21
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