http://www.nitrc.org/forum/forum.php?forum_id=6333 <table border="0" width="100%"><tr><td align="left"/></tr></table> <p><b>Influences of Head Motion Regression on High-Frequency Oscillation Amplitudes of Resting-State fMRI Signals.</b></p> <p>Front Hum Neurosci. 2016;10:243</p> <p>Authors: Yuan BK, Zang YF, Liu DQ</p> <p>Abstract<br/> High-frequency oscillations (HFOs, &gt;0.1 Hz) of resting-state fMRI (rs-fMRI) signals have received much attention in recent years. Denoising is critical for HFO studies. Previous work indicated that head motion (HM) has remarkable influences on a variety of rs-fMRI metrics, but its influences on rs-fMRI HFOs are still unknown. In this study, we investigated the impacts of HM regression (HMR) on HFO results using a fast sampling rs-fMRI dataset. We demonstrated that apparent high-frequency (∼0.2-0.4 Hz) components existed in the HM trajectories in almost all subjects. In addition, we found that individual-level HMR could robustly reveal more between-condition (eye-open vs. eye-closed) amplitude differences in high-frequency bands. Although regression of mean framewise displacement (FD) at the group level had little impact on the results, mean FD could significantly account for inter-subject variance of HFOs even after individual-level HMR. Our findings suggest that HM artifacts should not be ignored in HFO studies, and HMR is necessary for detecting HFO between-condition differences. <br/> </p><p>PMID: 27303280 [PubMed]</p> en-us Copyright 2000-2026 NITRC OSI Tue, 05 May 2026 0:13:34 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator