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Inverse Methods for Spatiotemporal Characterization of Gastric Electrical Activity and its Association with Upper GI Symptoms from Cutaneous Multi-electrode Recordings

Description: Project Narrative Gastrointestinal (GI) problems give rise to 10 percent of initial patient visits to their physician and are challenging to identify and address if their cause is neither a blockage nor an infection. Although common procedures to capture neuromuscular gastric disorders involve measuring gastric emptying, which neither correlates with symptoms nor treatment response, recent findings with invasive electrical recordings show that spatiotemporal patterns of the gastric slow wave are associated with diagnosis, symptoms, and treatment response. In this study, we consider the advancement of our Bayesian inference based non-invasive approaches to characterize the gastric myoelectric activity using CT scans from human subjects, coupled with cutaneous multi-electrode recordings.

Funder: National Institute of Biomedical Imaging and Bioengineering

Funding type: research

Funder scheme: R03

Start date: 2021-05-01

End date: 2023-02-28

Investigator: TODD P COLEMAN

Institution: UNIVERSITY OF CALIFORNIA, SAN DIEGO

Topic: Gastrointestinal motility and disorders

Subfield: Gastroenterology

Field: Medicine

Domain: Health Sciences

Funded outputs count: 4