{"title":"Low-frequency EEG power and coherence differ between drug-induced parkinsonism and Parkinson’s disease","authors":"","doi":"10.1016/j.clinph.2024.10.013","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>Drug-induced parkinsonism (DIP) ranks second to Parkinson’s disease (PD) in causing parkinsonism. Despite sharing similar symptoms, DIP results from exposure to specific medications or substances, underscoring the need for accurate diagnosis. Here, we used resting-state electroencephalography (rsEEG) to investigate neural markers characterizing DIP and PD.</div></div><div><h3>Methods</h3><div>We conducted a retrospective analysis of rsEEG recordings from 18 DIP patients, 43 de novo PD patients, and 12 healthy controls (HC). After exclusions, data from 15 DIP, 41 PD, and 12 HC participants were analyzed. EEG spectral power and inter-channel coherence were compared across the groups.</div></div><div><h3>Results</h3><div>Our results demonstrated significant differences in rsEEG patterns among DIP, PD, and HC groups. DIP patients exhibited increased theta band power compared with PD patients and HC. Moreover, DIP patients showed higher delta band coherence compared with PD patients.</div></div><div><h3>Conclusion</h3><div>The current study highlights the differences in EEG spectral power and inter-channel coherence between DIP and PD patients.</div></div><div><h3>Significance</h3><div>Our results suggest that rsEEG holds promise as a valuable tool for capturing differential characteristics between DIP and PD patients.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Neurophysiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1388245724003183","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
Drug-induced parkinsonism (DIP) ranks second to Parkinson’s disease (PD) in causing parkinsonism. Despite sharing similar symptoms, DIP results from exposure to specific medications or substances, underscoring the need for accurate diagnosis. Here, we used resting-state electroencephalography (rsEEG) to investigate neural markers characterizing DIP and PD.
Methods
We conducted a retrospective analysis of rsEEG recordings from 18 DIP patients, 43 de novo PD patients, and 12 healthy controls (HC). After exclusions, data from 15 DIP, 41 PD, and 12 HC participants were analyzed. EEG spectral power and inter-channel coherence were compared across the groups.
Results
Our results demonstrated significant differences in rsEEG patterns among DIP, PD, and HC groups. DIP patients exhibited increased theta band power compared with PD patients and HC. Moreover, DIP patients showed higher delta band coherence compared with PD patients.
Conclusion
The current study highlights the differences in EEG spectral power and inter-channel coherence between DIP and PD patients.
Significance
Our results suggest that rsEEG holds promise as a valuable tool for capturing differential characteristics between DIP and PD patients.
期刊介绍:
As of January 1999, The journal Electroencephalography and Clinical Neurophysiology, and its two sections Electromyography and Motor Control and Evoked Potentials have amalgamated to become this journal - Clinical Neurophysiology.
Clinical Neurophysiology is the official journal of the International Federation of Clinical Neurophysiology, the Brazilian Society of Clinical Neurophysiology, the Czech Society of Clinical Neurophysiology, the Italian Clinical Neurophysiology Society and the International Society of Intraoperative Neurophysiology.The journal is dedicated to fostering research and disseminating information on all aspects of both normal and abnormal functioning of the nervous system. The key aim of the publication is to disseminate scholarly reports on the pathophysiology underlying diseases of the central and peripheral nervous system of human patients. Clinical trials that use neurophysiological measures to document change are encouraged, as are manuscripts reporting data on integrated neuroimaging of central nervous function including, but not limited to, functional MRI, MEG, EEG, PET and other neuroimaging modalities.