Literature DB >> 28281852

The patterns of EEG changes in early-onset Parkinson's disease patients.

Xuetao He1, Yuhu Zhang1, Jieling Chen1, Chunge Xie1, Rong Gan1, Rong Yang1, Limin Wang1, Kun Nie1, Lijuan Wang1.   

Abstract

The aim of this study was to investigate the patterns of brain activity changes in early-onset Parkinson's disease (EOPD) patients and its relationship with the severity of disease and motor deterioration. Electroencephalography (EEG) was performed in a sample of 52 nondemented EOPD patients and 20 healthy controls with similar age. All patients underwent a battery to assess PD severity and motor deterioration. The EEG data were rated by visual and quantitative analyses with the grant total EEG (GTE) score and NicoletOne Software. The parameters of relative band power and coherences for various frequency bands were calculated. In addition, all parameters were compared between groups and examined for correlations with the severity of disease and motor deterioration. The GTE score and two subscores including "Diffuse Slow Waves" and "Frequency of Rhythmic Background Activity" of EOPD increased comparing to control group. The relative beta band powers in seven regions (O1,O2,T5,T6,P3,P4 and C3) indicated significant decreases in EOPD patients and obvious increases in interhemispheric beta coherences were observed in the midtemporal area and frontal area (T3T4 and F3F4). Furthermore, correlation analyses revealed that longer duration was associated with the subscore of "background wave frequency". The beta frequency bands in the right posterior temporal (T6) showed negative relationship with the modified Hoehn-Yahr grading scores. This study is the first to depict the patterns of EEG changes in EOPD patients without dementia and offer a better understanding of the pathophysiological mechanisms underlying and prognostic purposes in EOPD. Some of these changes could serve as useful biomarkers in the study of EOPD.

Entities:  

Keywords:  Parkinson's disease; early-onset; electroencephalography; the Unified Parkinson's Disease Rating Scale Part III

Mesh:

Year:  2017        PMID: 28281852     DOI: 10.1080/00207454.2017.1304393

Source DB:  PubMed          Journal:  Int J Neurosci        ISSN: 0020-7454            Impact factor:   2.292


  3 in total

1.  Synchrony Drives Motor Cortex Beta Bursting, Waveform Dynamics, and Phase-Amplitude Coupling in Parkinson's Disease.

Authors:  Andrew B O'Keeffe; Mahsa Malekmohammadi; Hiro Sparks; Nader Pouratian
Journal:  J Neurosci       Date:  2020-06-23       Impact factor: 6.167

2.  Identifying controllable cortical neural markers with machine learning for adaptive deep brain stimulation in Parkinson's disease.

Authors:  Sebastián Castaño-Candamil; Tobias Piroth; Peter Reinacher; Bastian Sajonz; Volker A Coenen; Michael Tangermann
Journal:  Neuroimage Clin       Date:  2020-08-12       Impact factor: 4.881

3.  Factors Associated with EEG Slowing in Individuals with Parkinson's Disease.

Authors:  Biniyam A Ayele; Heera Tesfaye; Mehila Z Wuhib; Guta Zenebe
Journal:  Ethiop J Health Sci       Date:  2022-01
  3 in total

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