Jing Chuan, Liu Tianci, Li Qingzhou, Zhang Chuan, Sun Baijintao, Yang Xuezhao, You Yutao, Liu Jixin, Yang Hanfeng
Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, China.
Front Neurosci. 2025 Jan 13;18:1515540. doi: 10.3389/fnins.2024.1515540. eCollection 2024.
Irritable bowel syndrome (IBS) is a common bowel-brain interaction disorder whose pathogenesis is unclear. Many studies have investigated abnormal changes in brain function in IBS patients. In this study, we analyzed the dynamic changes in brain function in IBS patients using a Hidden Markov Model (HMM).
Resting-state functional magnetic resonance imaging (rs-fMRI) data and the clinical characteristics of 35 patients with IBS and 31 healthy controls (HCs) were collected. The rs-fMRI data of all participants were analyzed using HMM to identify recurrent brain activity states that evolve over time during the resting state. Additionally, the temporal properties of these HMM states and their correlations with clinical scale scores were examined.
This study utilized the Hidden Markov Model (HMM) method to identify six distinct HMM states. Significant differences in fractional occupancy (FO) and lifetime (LT) were observed in states 5 and 6 between the IBS and HCs. The state transition probabilities differed between IBS and HCs, with an increased probability of transitioning from state 2 to state 6 in IBS patients. The reconfiguration of HMM states over time scales in IBS patients was associated with abnormal activity in the default mode network (DMN), sensorimotor network (SMN), and cingulo-opercular network (CON).
This study offers novel insights into the dynamic reorganization of brain activity patterns in IBS and elucidates potential links between these patterns and IBS-related emotional regulation and symptom experience, thereby contributing to a deeper understanding of the neural mechanisms underlying IBS.
肠易激综合征（IBS）是一种常见的肠-脑交互障碍，其发病机制尚不清楚。许多研究调查了IBS患者脑功能的异常变化。在本研究中，我们使用隐马尔可夫模型（HMM）分析了IBS患者脑功能的动态变化。
收集了35例IBS患者和31例健康对照者（HCs）的静息态功能磁共振成像（rs-fMRI）数据及临床特征。使用HMM对所有参与者的rs-fMRI数据进行分析，以识别静息状态下随时间演变的反复出现的脑活动状态。此外，还检查了这些HMM状态的时间特性及其与临床量表评分的相关性。
本研究利用隐马尔可夫模型（HMM）方法识别出六种不同的HMM状态。IBS组和HCs组在状态5和状态6的分数占有率（FO）和持续时间（LT）存在显著差异。IBS组和HCs组的状态转换概率不同，IBS患者从状态2转换到状态6的概率增加。IBS患者HMM状态随时间尺度的重新配置与默认模式网络（DMN）、感觉运动网络（SMN）和扣带回-岛叶网络（CON）的异常活动有关。
本研究为IBS患者脑活动模式的动态重组提供了新的见解，并阐明了这些模式与IBS相关情绪调节和症状体验之间的潜在联系，从而有助于更深入地理解IBS的神经机制。
