Literature DB >> 10629361

Event-related potential and EEG measures in Parkinson's disease without and with dementia.

H Tanaka1, T Koenig, R D Pascual-Marqui, K Hirata, K Kochi, D Lehmann.   

Abstract

Nondemented Parkinson's disease (PD) patients showed increased amplitude of event-related potential component P3. We recorded 18-channel spontaneous eyes-closed resting EEG and auditory oddball event-related potentials in 29 PD patients and 11 age-matched controls. Combining Mini-Mental State Examination score and oddball P3 counting performance, 15 patients were intellectually normal, 7 moderately, and 7 severely demented. P3 and N1 amplitude and latency, mean amplitude of 1,024 ms post-stimulus (separate after rare and after frequent stimuli), and resting EEG total power for 40 s were computed, and linearly regressed for age, sex, and L-dopa dosage. In nondemented PD patients, increased P3 amplitude was confirmed, but N1 amplitude and mean amplitude after rare and frequent stimuli were also increased as well as - most important - resting EEG total power. With increasing dementia, amplitude and power decreased, and P3 latency increased. Task demands cannot explain increased P3 amplitude, since similarly increased EEG total power was found during no-task resting. Prospective studies must determine whether P3 amplitude and EEG power in nondemented PD patients can serve as predictors of dementia. Copyright 2000 S. Karger AG, Basel

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Year:  2000        PMID: 10629361     DOI: 10.1159/000017212

Source DB:  PubMed          Journal:  Dement Geriatr Cogn Disord        ISSN: 1420-8008            Impact factor:   2.959


  17 in total

1.  Primary motor cortex of the parkinsonian monkey: differential effects on the spontaneous activity of pyramidal tract-type neurons.

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Review 4.  Clinical applications of EEG as an excellent tool for event related potentials in psychiatric and neurotic disorders.

Authors:  Charushila Jadhav; Priti Kamble; Shafique Mundewadi; Nitesh Jaiswal; Snehalata Mali; Surbhi Ranga; Tarun Kumar Suvvari; Atul Rukadikar
Journal:  Int J Physiol Pathophysiol Pharmacol       Date:  2022-04-15

5.  Investigation of EEG abnormalities in the early stage of Parkinson's disease.

Authors:  Chun-Xiao Han; Jiang Wang; Guo-Sheng Yi; Yan-Qiu Che
Journal:  Cogn Neurodyn       Date:  2013-02-10       Impact factor: 5.082

6.  Bayesian estimation of synaptic physiology from the spectral responses of neural masses.

Authors:  R J Moran; K E Stephan; S J Kiebel; N Rombach; W T O'Connor; K J Murphy; R B Reilly; K J Friston
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7.  A three dimensional anatomical view of oscillatory resting-state activity and functional connectivity in Parkinson's disease related dementia: An MEG study using atlas-based beamforming.

Authors:  M M Ponsen; C J Stam; J L W Bosboom; H W Berendse; A Hillebrand
Journal:  Neuroimage Clin       Date:  2012-11-17       Impact factor: 4.881

8.  Linear predictive coding distinguishes spectral EEG features of Parkinson's disease.

Authors:  Md Fahim Anjum; Soura Dasgupta; Raghuraman Mudumbai; Arun Singh; James F Cavanagh; Nandakumar S Narayanan
Journal:  Parkinsonism Relat Disord       Date:  2020-08-23       Impact factor: 4.891

9.  Predictive timing functions of cortical beta oscillations are impaired in Parkinson's disease and influenced by L-DOPA and deep brain stimulation of the subthalamic nucleus.

Authors:  A Gulberti; C K E Moll; W Hamel; C Buhmann; J A Koeppen; K Boelmans; S Zittel; C Gerloff; M Westphal; T R Schneider; A K Engel
Journal:  Neuroimage Clin       Date:  2015-09-25       Impact factor: 4.881

10.  Non-linear dynamical analysis of EEG time series distinguishes patients with Parkinson's disease from healthy individuals.

Authors:  Claudia Lainscsek; Manuel E Hernandez; Jonathan Weyhenmeyer; Terrence J Sejnowski; Howard Poizner
Journal:  Front Neurol       Date:  2013-12-11       Impact factor: 4.003

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