Literature DB >> 8579807

Correlation between cognitive brain function and electrical brain activity in dementia of Alzheimer type.

T Dierks1, L Frölich, R Ihl, K Maurer.   

Abstract

Psychometric tests which assess cognitive brain function in dementia disorders are partly prone to artifacts, e.g., the experience of the investigator and the cooperation of the patient influences the results. An objective way to assess the degree of cognitive disturbance could be to measure neuronal activity represented by the electrical brain activity. The aim of the present study was to investigate how well cognitive function in dementia assessed by psychometric tests correlates with electrical brain activity (EEG). Multichannel EEG data was reduced into 3-D intracerebral equivalent dipole EEG generators allowing a more convenient statistical data management and valid physiological data interpretation. 35 patients suffering from dementia of Alzheimer type were investigated. An increase of dipole strength in the slow frequency bands, a more anterior equivalent dipole of alpha- and beta-activity, and a slowing of the EEG with increasing cognitive deterioration could be demonstrated. The results support the hypothesis that the amount of disturbance of cognitive function in dementia can be assessed by measuring the electrical activity of the brain.

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Mesh:

Year:  1995        PMID: 8579807     DOI: 10.1007/bf01271469

Source DB:  PubMed          Journal:  J Neural Transm Gen Sect


  22 in total

1.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Authors:  M F Folstein; S E Folstein; P R McHugh
Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

2.  Localization of the sources of EEG delta, theta, alpha and beta frequency bands using the FFT dipole approximation.

Authors:  C M Michel; D Lehmann; B Henggeler; D Brandeis
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1992-01

3.  Clinical and electroencephalographic observations in Alzheimer's disease.

Authors:  F LETEMENDIA; G PAMPIGLIONE
Journal:  J Neurol Neurosurg Psychiatry       Date:  1958-08       Impact factor: 10.154

4.  Intracerebral dipole sources of EEG FFT power maps.

Authors:  D Lehmann; C M Michel
Journal:  Brain Topogr       Date:  1989 Fall-Winter       Impact factor: 3.020

5.  Intracerebral dipole source localization for FFT power maps.

Authors:  D Lehmann; C M Michel
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1990-09

6.  Staging in dementia of the Alzheimer type: topography of electrical brain activity reflects the severity of the disease.

Authors:  R Ihl; K Maurer; T Dierks; L Frlich; I Perisic
Journal:  Psychiatry Res       Date:  1989-09       Impact factor: 3.222

7.  Quantitative analysis of occipital EEG in different stages of Alzheimer's disease.

Authors:  M Penttilä; J V Partanen; H Soininen; P J Riekkinen
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1985-01

8.  Topographic EEG changes with normal aging and SDAT.

Authors:  J Breslau; A Starr; N Sicotte; J Higa; M S Buchsbaum
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1989-04

9.  EEG brain mapping in diagnostic and therapeutic assessment of dementia.

Authors:  B Saletu; P Anderer; E Paulus; J Grünberger; L Wicke; A Neuhold; P K Fischhof; G Litschauer
Journal:  Alzheimer Dis Assoc Disord       Date:  1991       Impact factor: 2.703

10.  A longitudinal EEG study of mild senile dementia of Alzheimer type: changes at 1 year and at 2.5 years.

Authors:  L A Coben; W Danziger; M Storandt
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1985-08
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  8 in total

1.  Neuropsychiatric Symptoms in Dementia: Considering a Clinical Role for Electroencephalography.

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Journal:  J Neuropsychiatry Clin Neurosci       Date:  2022-03-21       Impact factor: 2.891

2.  EEG spectral power abnormalities and their relationship with cognitive dysfunction in patients with Alzheimer's disease and type 2 diabetes.

Authors:  Christopher S Y Benwell; Paula Davila-Pérez; Peter J Fried; Richard N Jones; Thomas G Travison; Emiliano Santarnecchi; Alvaro Pascual-Leone; Mouhsin M Shafi
Journal:  Neurobiol Aging       Date:  2019-10-14       Impact factor: 4.673

3.  The implicit function as squashing time model: a novel parallel nonlinear EEG analysis technique distinguishing mild cognitive impairment and Alzheimer's disease subjects with high degree of accuracy.

Authors:  Massimo Buscema; Massimiliano Capriotti; Francesca Bergami; Claudio Babiloni; Paolo Rossini; Enzo Grossi
Journal:  Comput Intell Neurosci       Date:  2007

Review 4.  The Role of Cognitive Reserve in Alzheimer's Disease and Aging: A Multi-Modal Imaging Review.

Authors:  Arianna Menardi; Alvaro Pascual-Leone; Peter J Fried; Emiliano Santarnecchi
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

5.  The effect of souvenaid on functional brain network organisation in patients with mild Alzheimer's disease: a randomised controlled study.

Authors:  Hanneke de Waal; Cornelis J Stam; Marieke M Lansbergen; Rico L Wieggers; Patrick J G H Kamphuis; Philip Scheltens; Fernando Maestú; Elisabeth C W van Straaten
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

6.  EEG Spectral Features Discriminate between Alzheimer's and Vascular Dementia.

Authors:  Emanuel Neto; Elena A Allen; Harald Aurlien; Helge Nordby; Tom Eichele
Journal:  Front Neurol       Date:  2015-02-13       Impact factor: 4.003

7.  Regularized Linear Discriminant Analysis of EEG Features in Dementia Patients.

Authors:  Emanuel Neto; Felix Biessmann; Harald Aurlien; Helge Nordby; Tom Eichele
Journal:  Front Aging Neurosci       Date:  2016-11-30       Impact factor: 5.750

Review 8.  Diagnosis of Alzheimer's disease in Brazil: Supplementary exams.

Authors:  Paulo Caramelli; Antonio Lúcio Teixeira; Carlos Alberto Buchpiguel; Hae Won Lee; José Antônio Livramento; Liana Lisboa Fernandez; Renato Anghinah
Journal:  Dement Neuropsychol       Date:  2011 Jul-Sep
  8 in total

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