Enhanced electrogastrography: A realistic way to salvage a promise that was never kept?

Poscente, Michael D.; Mintchev, Martin P.

doi:10.3748/wjg.v23.i25.4517

Cited by 12 publications

(6 citation statements)

References 43 publications

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“…EGEG, similar to electrocardiograph (ECG) and electroencephalogram (EEG), is a method of recording gastrointestinal muscle electrical activity on the body surface of the human abdominal wall using skin electrodes, which is convenient, non-invasive, and objective [ 32 ]. Because the gastrointestinal electrical signal is very weak and slow, and its amplitude is only 1/1000 that of ECG, the research on gastrointestinal electrograms started late and has developed slowly [ 33 ].…”

Section: Discussionmentioning

confidence: 99%

Development of a Gastrointestinal-Myoelectrical-Activity-Based Nomogram Model for Predicting the Risk of Mild Cognitive Impairment

Peng

et al. 2022

Biomolecules

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Mild cognitive impairment (MCI) is the prodromal stage and an important risk factor of Alzheimer’s disease (AD). Interventions at the MCI stage are significant in reducing the occurrence of AD. However, there are still many obstacles to the screening of MCI, resulting in a large number of patients going undetected. Given the strong correlation between gastrointestinal function and neuropsychiatric disorders, the aim of this study is to develop a risk prediction model for MCI based on gastrointestinal myoelectrical activity. The Mini-Mental State Examination and electrogastroenterography were applied to 886 participants in western China. All participants were randomly assigned to the training and validation sets in a ratio of 7:3. In the training set, risk variables were screened using LASSO regression and logistic regression, and risk prediction models were built based on nomogram and decision curve analysis, then validation was performed. Eight predictors were selected in the training set, including four electrogastroenterography parameters (rhythm disturbance, dominant frequency and dominant power ratio of gastric channel after meal, and time difference of intestinal channel after meal). The area under the ROC curve for the prediction model was 0.74 in the training set and 0.75 in the validation set, both of which exhibited great prediction ability. Furthermore, decision curve analysis displayed that the net benefit was more desirable when the risk thresholds ranged from 15% to 35%, indicating that the nomogram was clinically usable. The model based on gastrointestinal myoelectrical activity has great significance in predicting the risk of MCI and is expected to be an alternative to scales assessment.

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Section: Discussionmentioning

confidence: 99%

Development of a Gastrointestinal-Myoelectrical-Activity-Based Nomogram Model for Predicting the Risk of Mild Cognitive Impairment

Peng

et al. 2022

Biomolecules

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“…31,32 Finally, the impact of stress and other affective processes on gastric myoelectrical activity and its dysrhythmias can be studied using electrogastrography. 33 Although this technique has been criticized for not being able to accurately represent gastric (dys)motility, thereby limiting its clinical usefulness, 34 it can be easily integrated as a research tool into brain imaging studies of inte-roception and affective processing. It has been shown, for example, that disgusting picture presentation affects gastric rhythms proportionally to the magnitude of experienced disgust.…”

Section: Functional Neuroanatomy Of the Gut-brain Axismentioning

confidence: 99%

The gut–brain axis in health neuroscience: implications for functional gastrointestinal disorders and appetite regulation

Weltens

Iven

Oudenhove

et al. 2018

Annals of the New York Academy of Sciences

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Over the past few years, scientific interest in the gut-brain axis (i.e., the bidirectional communication system between the gastrointestinal tract and the brain) has exploded, mostly due to the identification of the gut microbiota as a novel key player in this communication. However, important progress has also been made in other aspects of gut-brain axis research, which has been relatively underemphasized in the review literature. Therefore, in this review, we provide a comprehensive, although not exhaustive, overview of recent research on the functional neuroanatomy of the gutbrain axis and its relevance toward the multidisciplinary field of health neuroscience, excluding studies on the role of the gut microbiota. More specifically, we first focus on irritable bowel syndrome, after which we outline recent findings on the role of the gut-brain axis in appetite and feeding regulation, primarily focusing on the impact of subliminal nutrient-related gut-brain signals. We conclude by providing future perspectives to facilitate translation of the findings from gut-brain axis neuroscientific research to clinical applications in these domains.

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“…3,4 The current clinical methods for identifying FD and D-GP syndromes are the so-called Roma protocol, nuclear scintigraphy, abdominal ultrasonography (USG), single-photon emission computed tomography (SPECT), nonimaging assessment, and esophagogastroduodenoscopy (EGD), which are invasive and expensive. 5,6 Therefore, most gastroenterologists and radiologists are interested in identifying gastric mechanisms to evaluate FD and D-GP patients. 4,7 Because of the evaluation of patients with complex gastric muscle anatomy, the noninvasive technique of electrogastrography (EGG), which does not diagnose specific diseases but provides information about the irregular myoelectric activity of the stomach in various functional gastric disorders, has been widely used in research.…”

Section: Introductionmentioning

confidence: 99%

Electrogastrography in patients with gastric motility disorders

Al Kafee,

Kayar

2023

Proc Inst Mech Eng H

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Electrogastrography (EGG) is a novel diagnostic modality for assessing the gastrointestinal tract (GI) that generates spontaneous electrical activity and monitors gastric motility. The aim of this study was to compare patients with functional dyspepsia (FD) and diabetic gastroparesis (D-GP) with healthy controls (CT) to use established findings on abnormalities of gastric motility based on EGG characteristics. In this study, 50 patients with FD, 50 D-GP patients, and 50 CT subjects were studied to compare EGG with discrete wavelet transform models (DWT) to extract signal characteristics using a variety of different qualitative and quantitative metrics from pre-prandial and postprandial states. As a result, higher statistically significant ( p < 0.05*) were found in the DWT models based on power spectral density (PSD) analysis in both states. We also present that the correlations between EGG metrics and the presence of FD, D-GP, and CT symptoms were inconsistent. This paper represents that EGG assessments of FD and D-GP patients differ from healthy controls in terms of abnormalities of gastric motility. Additionally, we demonstrate that diverse datasets showed adequate gastric motility responses to a meal. We anticipate that our method will provide a comprehensive understanding of gastric motility disorders for better treatment and monitoring in both clinical and research settings. In conclusion, we present potential future opportunities for precise gastrointestinal electrophysiological disorders.

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Enhanced electrogastrography: A realistic way to salvage a promise that was never kept?

Cited by 12 publications

References 43 publications

Development of a Gastrointestinal-Myoelectrical-Activity-Based Nomogram Model for Predicting the Risk of Mild Cognitive Impairment

Development of a Gastrointestinal-Myoelectrical-Activity-Based Nomogram Model for Predicting the Risk of Mild Cognitive Impairment

The gut–brain axis in health neuroscience: implications for functional gastrointestinal disorders and appetite regulation

Electrogastrography in patients with gastric motility disorders

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