Classification of Irritable Bowel Syndrome Using Brain Functional Connectivity Strength and Machine Learning.

Journal: Neurogastroenterology and motility
PMID: 39752374

Abstract

BACKGROUND: Irritable Bowel Syndrome (IBS) is a prevalent condition characterized by dysregulated brain-gut interactions. Despite its widespread impact, the brain mechanism of IBS remains incompletely understood, and there is a lack of objective diagnostic criteria and biomarkers. This study aims to investigate brain network alterations in IBS patients using the functional connectivity strength (FCS) method and to develop a support vector machine (SVM) classifier for distinguishing IBS patients from healthy controls (HCs).

Authors

  • Qi Zhang
    Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Yue Xu
  • Dingbo Guo
    Department of Radiology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
  • Hua He
    State Key Laboratory of Heavy Oil Processing and College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, China.
  • Zhen Zhang
    School of Pharmacy, Jining Medical University, Rizhao, Shandong, China.
  • Xiaowan Wang
    Department of Anorectal Surgery, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
  • Siyi Yu
    Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

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