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Assessment of Self-Reported Executive Function in Patients with Irritable Bowel Syndrome Using a Machine-Learning
Astri J Lundervold1, Eline M R Hillestad2,3, Gülen Arslan Lied2,3
1Department of Biological and Medical Psychology, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway.
Irritable bowel syndrome (IBS) patients show significant executive function (EF) problems, particularly with working memory. These findings suggest EF assessment and working memory interventions are crucial for managing IBS.
Area of Science:
- Neuroscience
- Gastroenterology
- Psychology
Background:
- Irritable bowel syndrome (IBS) is a gut-brain interaction disorder (DGBI).
- Executive functions (EF) are crucial cognitive processes.
- The relationship between IBS and EF deficits requires further investigation.
Purpose of the Study:
- To explore executive function (EF) problems in IBS patients.
- To identify the most important cognitive features contributing to IBS.
- To develop a machine-learning model for classifying IBS patients based on EF.
Main Methods:
- 44 IBS patients and 22 healthy controls (HCs) completed the Behavior Rating Inventory of Executive Function (BRIEF-A).
- Machine learning (PyCaret 3.0, XGBoost) was used to analyze EF features and classify groups.
- Model robustness was validated on an unseen dataset.
Main Results:
- IBS patients reported significantly more severe EF problems in working memory, initiation, cognitive flexibility, and emotional control.
- Machine learning models identified working memory, planning, and emotional control as key EF features.
- The XGBoost model achieved 85% accuracy in classifying IBS patients.
Conclusions:
- Executive function (EF) deficits, especially in working memory, are prevalent in IBS patients.
- EF assessment should be integrated into IBS diagnostic procedures.
- Working memory interventions may be a valuable therapeutic target for IBS.
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