Literature DB >> 16481699

Magnetogastrographic detection of gastric electrical response activity in humans.

Andrei Irimia1, William O Richards, L Alan Bradshaw.   

Abstract

The detection and characterization of gastric electrical activity has important clinical applications, including the early diagnosis of gastric diseases in humans. In mammals, this phenomenon has two important features: an electrical control activity (ECA) that manifests itself as an electric slow wave (with a frequency of 3 cycles per minute in humans) and an electrical response activity (ERA) that is characterized by spiking potentials during the plateau phase of the ECA. Whereas the ECA has been recorded in humans both invasively and non-invasively (magnetogastrography-MGG), the ERA has never been detected non-invasively in humans before. In this paper, we report on our progress towards the non-invasive detection of ERA from the human stomach using a procedure that involves the application of principal component analysis to MGG recordings, which were acquired in our case from ten normal human patients using a Superconducting QUantum Interference Device (SQUID) magnetometer. Both pre- and post-prandial recordings were acquired for each patient and 20 min of recordings (10 min of pre-prandial and 10 min of post-prandial data) were analysed for each patient. The mean percentage of ECA slow waves that were found to exhibit spikes of suspected ERA origin was 41% and 61% for pre- and post-prandial recordings, respectively, implying a 47% ERA increase post-prandially (P < 0.0001 at a 95% confidence level). The detection of ERA in humans is highly encouraging and points to the possible use of non-invasive ERA recordings as a valuable tool for the study of human gastric disorders.

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Year:  2006        PMID: 16481699     DOI: 10.1088/0031-9155/51/5/022

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  6 in total

1.  Effects of body mass index on gastric slow wave: a magnetogastrographic study.

Authors:  S Somarajan; S Cassilly; C Obioha; W O Richards; L A Bradshaw
Journal:  Physiol Meas       Date:  2014-01-07       Impact factor: 2.833

2.  Acute cognitive impairment after traumatic brain injury predicts the occurrence of brain atrophy patterns similar to those observed in Alzheimer's disease.

Authors:  Kenneth A Rostowsky; Andrei Irimia
Journal:  Geroscience       Date:  2021-04-26       Impact factor: 7.713

3.  Characterization of gastric electrical activity using magnetic field measurements: a simulation study.

Authors:  J H K Kim; L A Bradshaw; A J Pullan; L K Cheng
Journal:  Ann Biomed Eng       Date:  2009-09-23       Impact factor: 3.934

4.  Acute cognitive deficits after traumatic brain injury predict Alzheimer's disease-like degradation of the human default mode network.

Authors:  Andrei Irimia; Alexander S Maher; Nikhil N Chaudhari; Nahian F Chowdhury; Elliot B Jacobs
Journal:  Geroscience       Date:  2020-08-02       Impact factor: 7.713

5.  Noninvasive biomagnetic detection of isolated ischemic bowel segments.

Authors:  Suseela Somarajan; Summer Cassilly; Chibuike Obioha; L A Bradshaw; William O Richards
Journal:  IEEE Trans Biomed Eng       Date:  2013-01-15       Impact factor: 4.538

6.  Biomagnetic signatures of uncoupled gastric musculature.

Authors:  L A Bradshaw; A Irimia; J A Sims; W O Richards
Journal:  Neurogastroenterol Motil       Date:  2009-02-15       Impact factor: 3.598

  6 in total

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