Literature DB >> 1625776

Quantitative electroencephalography in Parkinson's disease, dementia, depression and normal aging.

A Primavera1, P Novello.   

Abstract

The relationship between depression and dementia in Parkinson's disease (PD) has rarely been explored. Using a quantitative EEG (qEEG) parameter, we studied four groups of subjects: PD, demented Alzheimer's type and major depressed patients and normal controls. The qEEG data were compared with those of the Mini-Mental State and the Hamilton Depression Scale. The qEEG pattern was different in the four groups of subjects. Moreover, there was a significant correlation between the qEEG data and the other variables, and, particularly, with the cognitive performances. Our findings demonstrate that the qEEG method of assessment may give valuable data for a better classification of dementia syndromes and for a distinction between dementia and pseudodementia.

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Year:  1992        PMID: 1625776     DOI: 10.1159/000118817

Source DB:  PubMed          Journal:  Neuropsychobiology        ISSN: 0302-282X            Impact factor:   2.328


  4 in total

1.  Sleep spindle alterations in patients with Parkinson's disease.

Authors:  Julie A E Christensen; Miki Nikolic; Simon C Warby; Henriette Koch; Marielle Zoetmulder; Rune Frandsen; Keivan K Moghadam; Helge B D Sorensen; Emmanuel Mignot; Poul J Jennum
Journal:  Front Hum Neurosci       Date:  2015-05-01       Impact factor: 3.169

2.  Resting State Quantitative Electroencephalogram Power Spectra in Patients with Depressive Disorder as Compared to Normal Controls: An Observational Study.

Authors:  Jnanamay Das; Shailly Yadav
Journal:  Indian J Psychol Med       Date:  2020-01-06

3.  A pilot study of machine learning of resting-state EEG and depression in Parkinson's disease.

Authors:  Arturo I Espinoza; Patrick May; Md Fahim Anjum; Arun Singh; Rachel C Cole; Nicholas Trapp; Soura Dasgupta; Nandakumar S Narayanan
Journal:  Clin Park Relat Disord       Date:  2022-09-27

4.  Predicting Working Memory Capacity in Older Subjects Using Quantitative Electroencephalography.

Authors:  Jae Hyuk Shin; Kyungun Jhung; Jae Seok Heo; Suk Kyoon An; Jin Young Park
Journal:  Psychiatry Investig       Date:  2018-07-04       Impact factor: 2.505

  4 in total

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