Abstract #0251

Phase synchronization of resting-state brain networks with the intrinsic electrical rhythm of the stomach

Ann S Choe^1,2,3, Bohao Tang⁴, Kimberly R. Smith⁵, Hamed Honari⁶, Martin A. Lindquist⁴, Brian S. Caffo⁴, and James J. Pekar^1,3

¹F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, ²International Center for Spinal Cord Injury, Kennedy Krieger Institute, Baltimore, MD, United States, ³Department of Radiology, Johns Hopkins Medicine, Baltimore, MD, United States, ⁴Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States, ⁵Department of Psychiatry and Behavioral Sciences, Johns Hopkins Medicine, Baltimore, MD, United States, ⁶Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States

Combining concurrent cutaneous electrogastrography (EGG) with resting-state fMRI (rsfMRI), we estimated resting-state brain networks from the rsfMRI data using independent component analysis, then used the amplitude-weighted Phase-Locking Value to assess whether those networks were synchronized with the intrinsic gastric rhythm estimated from the EGG data. We found 18 resting-state brain networks, of which 11 were found to be partially but significantly phase synchronized with the gastric rhythm. Disruptions to the gut-brain axis are thought to be involved in various disorders; manifestation of the infra-slow rhythm of the stomach in brain rsfMRI data could be useful for studies in clinical populations.

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