Functional dysconnectivity of the triple network in women with premenstrual syndrome

IF 2.1 4区医学 Q3 CLINICAL NEUROLOGY

Psychiatry Research: Neuroimaging Pub Date : 2025-03-09 DOI:10.1016/j.pscychresns.2025.111973

Shihuan Lin , Yan Zhang , Jinli Huang , YinQi Lai , Qingping Zhang , Ya Chen , Ziyan Lai , Yuanyuan Ou , Haixia Qin , Gaoxiong Duan , Ruijing Sun , Shanshan Li , Kaixuan Zhou , Yuejuan Wu , Zhen Liu , Lingyan Liang , Demao Deng

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Abstract

Objective

Premenstrual syndrome (PMS) is a risk factor for female depression, linked to neural circuit dysfunction. This study investigates PMS-related brain network patterns, focusing on the triple network's integration and segregation.

Materials & Methods

The study enrolled 56 PMS patients and 67 healthy controls (HCs), assessed via the Daily Record of Severity of Problems (DRSP). Functional MRI (fMRI) was analyzed using independent component analysis (ICA) to calculate functional connectivity (FC) and functional network connectivity (FNC) within and between brain networks. Correlation analysis examined links between imaging metrics and DRSP scores.

Results

Compared with HCs, PMS patients showed increased FC in the left inferior frontal gyrus of the salience network (SN). Additionally, there was increased FNC between the dorsal default mode network (dDMN), while a decrease was observed between the right execution network (RECN) and SN. Conversely, the FNC between RECN and dDMN was enhanced. Significant correlations were found between the FC values within the SN and DRSP scores. Similarly, the abnormal FNC pattern also correlated significantly with DRSP scores.

Conclusion

Triple-network dysconnectivity may serve as a biomarker for PMS, offering insights into its pathophysiology and potential targets for network-based neuromodulation therapies.

Clinical Relevance Statement

Identifying network dysconnectivities in PMS offers potential biomarkers for diagnosis and targets for neuromodulation therapy, ultimately improving symptom management and patient outcomes.

Abstract Image

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经前综合征女性三联神经网络功能障碍

目的经前综合征（PMS）是女性抑郁症的危险因素，与神经回路功能障碍有关。本研究探讨了经前症候群相关的脑网络模式，重点研究了三重网络的整合和分离。材料,方法本研究招募了56名经前症候群患者和67名健康对照者，通过问题严重程度每日记录（DRSP）进行评估。使用独立分量分析（ICA）对功能MRI （fMRI）进行分析，计算脑网络内部和之间的功能连通性（FC）和功能网络连通性（FNC）。相关分析检查了成像指标与DRSP评分之间的联系。结果与正常人相比，经前综合征患者左侧额下回突出网络（SN） FC增加。此外，背侧默认模式网络（dDMN）之间的FNC增加，而右执行网络（RECN）和SN之间的FNC减少。相反，RECN与dDMN之间的FNC增强。SN中的FC值与DRSP评分之间存在显著相关性。同样，异常FNC模式也与DRSP评分显著相关。结论三网络连接障碍可能作为经前症候群的生物标志物，为经前症候群的病理生理学和基于网络的神经调节治疗提供潜在靶点。临床相关性声明识别经前症候群的网络连接障碍为诊断提供了潜在的生物标志物和神经调节治疗的靶点，最终改善症状管理和患者预后。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Psychiatry Research: Neuroimaging 医学-精神病学

CiteScore

3.80

自引率

0.00%

发文量

审稿时长

22.5 weeks

期刊介绍： The Neuroimaging section of Psychiatry Research publishes manuscripts on positron emission tomography, magnetic resonance imaging, computerized electroencephalographic topography, regional cerebral blood flow, computed tomography, magnetoencephalography, autoradiography, post-mortem regional analyses, and other imaging techniques. Reports concerning results in psychiatric disorders, dementias, and the effects of behaviorial tasks and pharmacological treatments are featured. We also invite manuscripts on the methods of obtaining images and computer processing of the images themselves. Selected case reports are also published.