Clinical and Functional Connectivity Markers in Prediction of Hallucinations in Parkinson's Disease

IF 5 1区医学 Q1 NEUROSCIENCES

CNS Neuroscience & Therapeutics Pub Date : 2025-06-09 DOI:10.1111/cns.70432

Guanglu Li, Mengxue Jiang, Xin Chen, Panpan Hu, Jun Liu, Kai Wang

{"title":"Clinical and Functional Connectivity Markers in Prediction of Hallucinations in Parkinson's Disease","authors":"Guanglu Li, Mengxue Jiang, Xin Chen, Panpan Hu, Jun Liu, Kai Wang","doi":"10.1111/cns.70432","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aims</h3>\n \n <p>Longitudinal studies addressing the predictive value of brain network connectivity in PD hallucinations are lacking. This study investigated whether functional connectivity markers could predict PD hallucinations independently of clinical markers.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This study used data from the Parkinson's Progression Marker Initiative, a longitudinal multicenter study that aims to identify biomarkers of PD progression. One hundred and three newly diagnosed PD patients (mean age 63.10 ± 9.70 years, 65 males) underwent clinical assessments and functional MRI scanning at baseline. Independent component analysis was used to explore intra-network and inter-network functional connectivity differences between PD patients who developed hallucinations and those who did not during the 2-year follow-up.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Twenty patients developed hallucinations during the follow-up. At baseline, significantly decreased connectivity within the dorsal attention network (<i>t</i> = −6.65 ~ −4.90, <i>p</i> < 0.05, FWE corrected) and increased connectivity within the default mode network (<i>t</i> = 6.16 ~ 7.78, <i>p</i> < 0.05, FWE corrected) were detected in PD patients who developed hallucinations compared to those who did not. Additionally, PD patients with hallucinations exhibited significantly decreased functional connectivity between the dorsal attention network and the visual network at baseline (<i>t</i> = −3.31, <i>p</i> = 0.02, FWE corrected). Binary regression analysis revealed that significant predictors of PD hallucinations included the presence of EDS (OR = 6.928, <i>p</i> = 0.022), the presence of autonomic dysfunction (OR = 6.531, <i>p</i> = 0.012), FC within the DMN (OR = 5.587, <i>p</i> = 0.006), FC within the DAN (OR = 0.217, <i>p</i> = 0.041), and FC between the DAN and VIS (OR = 0.004, <i>p</i> = 0.019) at baseline.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The findings provide evidence that disrupted brain network connectivity is associated with a greater risk of future hallucinations in PD. This may aid in the early identification of PD patients at risk of hallucinations and provide a basis for the development of new therapies.</p>\n </section>\n </div>","PeriodicalId":154,"journal":{"name":"CNS Neuroscience & Therapeutics","volume":"31 6","pages":""},"PeriodicalIF":5.0000,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/cns.70432","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CNS Neuroscience & Therapeutics","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/cns.70432","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}

引用次数: 0

Abstract

Aims

Longitudinal studies addressing the predictive value of brain network connectivity in PD hallucinations are lacking. This study investigated whether functional connectivity markers could predict PD hallucinations independently of clinical markers.

Methods

This study used data from the Parkinson's Progression Marker Initiative, a longitudinal multicenter study that aims to identify biomarkers of PD progression. One hundred and three newly diagnosed PD patients (mean age 63.10 ± 9.70 years, 65 males) underwent clinical assessments and functional MRI scanning at baseline. Independent component analysis was used to explore intra-network and inter-network functional connectivity differences between PD patients who developed hallucinations and those who did not during the 2-year follow-up.

Results

Twenty patients developed hallucinations during the follow-up. At baseline, significantly decreased connectivity within the dorsal attention network (t = −6.65 ~ −4.90, p < 0.05, FWE corrected) and increased connectivity within the default mode network (t = 6.16 ~ 7.78, p < 0.05, FWE corrected) were detected in PD patients who developed hallucinations compared to those who did not. Additionally, PD patients with hallucinations exhibited significantly decreased functional connectivity between the dorsal attention network and the visual network at baseline (t = −3.31, p = 0.02, FWE corrected). Binary regression analysis revealed that significant predictors of PD hallucinations included the presence of EDS (OR = 6.928, p = 0.022), the presence of autonomic dysfunction (OR = 6.531, p = 0.012), FC within the DMN (OR = 5.587, p = 0.006), FC within the DAN (OR = 0.217, p = 0.041), and FC between the DAN and VIS (OR = 0.004, p = 0.019) at baseline.

Conclusions

The findings provide evidence that disrupted brain network connectivity is associated with a greater risk of future hallucinations in PD. This may aid in the early identification of PD patients at risk of hallucinations and provide a basis for the development of new therapies.

Abstract Image

查看原文本刊更多论文

帕金森病幻觉预测的临床和功能连接标志物

目的对PD幻觉中脑网络连通性的预测价值缺乏纵向研究。本研究探讨功能连接标志物是否能独立于临床标志物预测PD幻觉。方法本研究使用了帕金森进展标志物倡议的数据，这是一项旨在识别PD进展的生物标志物的纵向多中心研究。103例新诊断PD患者（平均年龄63.10±9.70岁，男性65例）在基线时进行了临床评估和功能MRI扫描。在2年的随访中，采用独立成分分析探讨出现幻觉和未出现幻觉的PD患者网络内和网络间功能连通性的差异。结果20例患者在随访中出现幻觉。在基线时，与没有出现幻觉的PD患者相比，出现幻觉的PD患者的背侧注意网络连通性显著降低（t = - 6.65 ~ - 4.90, p < 0.05， FWE校正），默认模式网络连通性显著增加（t = 6.16 ~ 7.78, p < 0.05， FWE校正）。此外，伴有幻觉的PD患者在基线时表现出背侧注意网络和视觉网络之间的功能连通性显著降低（t = - 3.31, p = 0.02， FWE校正）。二元回归分析显示，PD幻觉的显著预测因子包括基线时EDS的存在（OR = 6.928, p = 0.022）、自主神经功能障碍的存在（OR = 6.531, p = 0.012）、DMN内FC （OR = 5.587, p = 0.006）、DAN内FC （OR = 0.217, p = 0.041）和DAN与VIS间FC （OR = 0.004, p = 0.019）。结论：研究结果表明，PD患者大脑网络连接中断与未来出现幻觉的风险增加有关。这可能有助于早期识别有幻觉风险的PD患者，并为开发新疗法提供基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

CNS Neuroscience & Therapeutics 医学-神经科学

CiteScore

7.30

自引率

12.70%

发文量

240

审稿时长

2 months

期刊介绍： CNS Neuroscience & Therapeutics provides a medium for rapid publication of original clinical, experimental, and translational research papers, timely reviews and reports of novel findings of therapeutic relevance to the central nervous system, as well as papers related to clinical pharmacology, drug development and novel methodologies for drug evaluation. The journal focuses on neurological and psychiatric diseases such as stroke, Parkinson’s disease, Alzheimer’s disease, depression, schizophrenia, epilepsy, and drug abuse.