Molecular-Informed Network Analysis Unveils Fatigue-Related Functional Connectivity in Parkinson's Disease

IF 7.6 1区 医学 Q1 CLINICAL NEUROLOGY Movement Disorders Pub Date : 2025-04-22 DOI:10.1002/mds.30214
Ilaria Antonella Di Vico MD, PhD, Manuela Moretto PhD, Agnese Tamanti PhD, Giovanni Tomelleri MD, Giulia Burati MD, Daniel Martins MD, PhD, Ottavia Dipasquale PhD, Mattia Veronese PhD, Alessandra Bertoldo PhD, Elisa Menini MD, Angela Sandri MD, PhD, Sarah Ottaviani MD, Francesca Benedetta Pizzini MD, PhD, Michele Tinazzi MD, PhD, Marco Castellaro PhD
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Abstract

Background

Fatigue in Parkinson's disease (PD) is a prevalent and debilitating non-motor symptom. Despite its significant impact on quality of life, the underlying neurochemical and network-based mechanisms remain poorly understood.

Objectives

This observational study applied a multimodal imaging approach to explore potential links between the functional connectivity of neurotransmitter-specific circuits and fatigue in a sample of patients with PD.

Methods

We acquired resting-state functional magnetic resonance imaging data in 35 patients with PD including 18 with clinically significant fatigue and 17 without. We applied the receptor-enriched analysis of functional connectivity by targets (REACT) pipeline to derive patients' specific molecularly enriched networks informed by the spatial distribution of the dopamine, noradrenaline, serotonin transporters, and metabotropic glutamate 5 receptors as assessed using molecular imaging data in independent samples of healthy controls. We then conducted whole-brain analyses inspecting both categorical differences between groups of patients with and without clinically significant fatigue, and associations exploring the full within-sample variation in symptom ratings.

Results

We found a significant decrease in noradrenaline-enriched and glutamate-enriched functional connectivity in key regions, belonging to the sensorimotor, salience, and default mode network, with increasing fatigue severity. Notably, noradrenaline-enriched functional connectivity reductions were widespread, while glutamate-enriched functional connectivity reductions were more restricted to the supplementary motor area. No significant relationships between fatigue and dopamine or serotonin-enriched functional connectivity were found.

Conclusions

These findings offer supportive evidence for the putative involvement of the noradrenaline and glutamate systems in the genesis of fatigue in PD, opening new directions for treatment development exploring these neurochemical systems. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

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分子信息网络分析揭示帕金森病与疲劳相关的功能连接性
背景帕金森病(PD)患者的疲劳是一种普遍存在且使人衰弱的非运动症状。这项观察性研究采用多模态成像方法,在帕金森病患者样本中探索神经递质特异性回路的功能连通性与疲劳之间的潜在联系。方法 我们获取了35名帕金森病患者的静息态功能磁共振成像数据,其中18名患者有临床明显疲劳,17名患者无疲劳。我们应用目标功能连接受体富集分析(REACT)管道,根据健康对照独立样本中分子成像数据评估的多巴胺、去甲肾上腺素、5-羟色胺转运体和代谢谷氨酸 5 受体的空间分布,得出患者的特定分子富集网络。然后,我们进行了全脑分析,既检查了有临床显著疲劳和无临床显著疲劳患者组之间的分类差异,也探讨了症状评级在样本内的全面变化。结果 我们发现,随着疲劳严重程度的增加,在属于感觉运动、显著性和默认模式网络的关键区域,富含去甲肾上腺素和富含谷氨酸的功能连接显著减少。值得注意的是,去甲肾上腺素富集的功能连接性降低是广泛的,而谷氨酸富集的功能连接性降低则更多地局限于辅助运动区。结论 这些发现为去甲肾上腺素和谷氨酸系统可能参与帕金森病疲劳的成因提供了支持性证据,为探索这些神经化学系统的治疗发展开辟了新的方向。© 2025 作者。运动障碍》由 Wiley Periodicals LLC 代表国际帕金森和运动障碍协会出版。
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来源期刊
Movement Disorders
Movement Disorders 医学-临床神经学
CiteScore
13.30
自引率
8.10%
发文量
371
审稿时长
12 months
期刊介绍: Movement Disorders publishes a variety of content types including Reviews, Viewpoints, Full Length Articles, Historical Reports, Brief Reports, and Letters. The journal considers original manuscripts on topics related to the diagnosis, therapeutics, pharmacology, biochemistry, physiology, etiology, genetics, and epidemiology of movement disorders. Appropriate topics include Parkinsonism, Chorea, Tremors, Dystonia, Myoclonus, Tics, Tardive Dyskinesia, Spasticity, and Ataxia.
期刊最新文献
Respiratory Function in Friedreich's Ataxia Correction to “Development and Validation of a Patient‐Reported Outcome Measure of Ataxia” Issue Information Movement Disorders: Volume 40, Number 12, December 2025 December Infographic
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