In normal subjects, the gastric electrical activity (GEA) consists of a 3 cycle-per-minute slow wave known as the , electrical control activity (ECA). While cutaneous electrodes placed on the surface of the abdomen can record GEA, determination of frequency is the only reliable parameter available from the cutaneous electrogastrogram (EGG). The magnetogastrogram (MGG), the measurement of magnetic fields from GEA, may have greater clinical value than the EGG since gastric magnetic fields reflect the smooth muscle ECA more accurately than the EGG. Low-conductivity tissue layers present in the abdomen serve to smooth and attenuate the electric potential from GEA sources, resulting in a cutaneous EGG that is a spatial summation of many different bioelectric sources. The purpose of this project is to characterize normal and abnormal gastric electrical activity by noninvasive examination of the externally-recorded MGG. We hypothesize that GEA produces regular| spatiotemporal magnetic field patterns that characterize the health status of gastric smooth muscle. Whereas healthy gastric smooth muscle is electrically coupled and allows GEA to propagate from the antral pacemaker site toward the pylorus, we hypothesize that disorders that uncouple gastric smooth muscle disrupt the regular GEA propagation patterns. We hypothesize that spatiotemporal patterns in multi-channel MGG recordings will correlate strongly with the underlying GEA and that they will change under abnormal conditions, reflecting the underlying GEA. We will measure normal serosal potentials and magnetic fields and compare these with data from (1) the mechanically divided stomach, (2) GEA released from autonomic vagal influence, (3) pharmacologically-induced gastric dysrhythmias, and (4) patients with diabetic gastroparesis. If successful, our studies will represent the first characterization of biomagnetic signatures of abnormal gastric function. In addition to improving our understanding of the basic science of gastric electrophysiology, these studies will significantly advance our goal to introduce this method as a routine clinical tool, providing physicians with a noninvasive assessment of the function of the stomach.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
3R01DK058697-02S1
Application #
6650972
Study Section
Diagnostic Imaging Study Section (DMG)
Program Officer
Hamilton, Frank A
Project Start
2001-03-01
Project End
2005-02-28
Budget Start
2002-09-01
Budget End
2003-02-28
Support Year
2
Fiscal Year
2002
Total Cost
$47,422
Indirect Cost
Name
Vanderbilt University Medical Center
Department
Surgery
Type
Schools of Medicine
DUNS #
004413456
City
Nashville
State
TN
Country
United States
Zip Code
37212
Bradshaw, L Alan; Kim, Juliana H; Somarajan, Suseela et al. (2016) Characterization of Electrophysiological Propagation by Multichannel Sensors. IEEE Trans Biomed Eng 63:1751-9
Bradshaw, L A; Cheng, L K; Chung, E et al. (2016) Diabetic gastroparesis alters the biomagnetic signature of the gastric slow wave. Neurogastroenterol Motil 28:837-48
Somarajan, S; Muszynski, N D; Cheng, L K et al. (2015) Noninvasive biomagnetic detection of intestinal slow wave dysrhythmias in chronic mesenteric ischemia. Am J Physiol Gastrointest Liver Physiol 309:G52-8
Somarajan, S; Cassilly, S; Obioha, C et al. (2014) Effects of body mass index on gastric slow wave: a magnetogastrographic study. Physiol Meas 35:205-15
Obioha, Chibuike; Erickson, Jon; Suseela, Somarajan et al. (2013) Effect of Body Mass Index on the sensitivity of Magnetogastrogram and Electrogastrogram. J Gastroenterol Hepatol Res 2:513-519
Somarajan, Suseela; Cassilly, Summer; Obioha, Chibuike et al. (2013) Noninvasive biomagnetic detection of isolated ischemic bowel segments. IEEE Trans Biomed Eng 60:1677-84
Kim, J H K; Pullan, A J; Bradshaw, L A et al. (2012) Influence of body parameters on gastric bioelectric and biomagnetic fields in a realistic volume conductor. Physiol Meas 33:545-56
Somarajan, S; Muszynski, N D; Obioha, C et al. (2012) Biomagnetic and bioelectric detection of gastric slow wave activity in normal human subjects--a correlation study. Physiol Meas 33:1171-9
Kim, J H K; Bradshaw, L A; Pullan, A J et al. (2010) Characterization of gastric electrical activity using magnetic field measurements: a simulation study. Ann Biomed Eng 38:177-86
Erickson, Jonathan C; O'Grady, Gregory; Du, Peng et al. (2010) Falling-edge, variable threshold (FEVT) method for the automated detection of gastric slow wave events in high-resolution serosal electrode recordings. Ann Biomed Eng 38:1511-29

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