Literature DB >> 1777528

Topography of mobility and complexity parameters of the EEG in Alzheimer's disease.

M Martin-Loeches1, J Garcia-Trapero, P Gil, F J Rubia.   

Abstract

Mobility and complexity, Hjorth's parameters of the electroencephalogram (EEG), were calculated in 16 electrodes in a group of 14 patients with probable Alzheimer's disease (AD) and 14 healthy controls. Mobility was decreased in the AD group, differences reaching high levels of significance over all the electrodes. Complexity was increased significantly in the AD group only in five electrodes. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated for mobility at each electrode, considering only those AD patients with the lowest cognitive impairment. Sensitivity and negative predictive value were 100% at all the electrodes. Specificity and positive predictive value at several electrodes reached highly acceptable proportions, such as 71% or more for the former, and 64% or more for the latter. Implications of mobility in the early diagnosis of AD are discussed.

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Mesh:

Year:  1991        PMID: 1777528     DOI: 10.1016/0006-3223(91)90181-k

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  4 in total

1.  Analysis of long range dependence in the EEG signals of Alzheimer patients.

Authors:  T Nimmy John; Subha D Puthankattil; Ramshekhar Menon
Journal:  Cogn Neurodyn       Date:  2018-01-05       Impact factor: 5.082

2.  Cognitive Effects of Montelukast: A Pharmaco-EEG Study.

Authors:  Fabian Schwimmbeck; Wolfgang Staffen; Christopher Höhn; Fabio Rossini; Nora Renz; Markus Lobendanz; Peter Reichenpfader; Bernhard Iglseder; Ludwig Aigner; Eugen Trinka; Yvonne Höller
Journal:  Brain Sci       Date:  2021-04-27

3.  Bifidobacterium longum 1714 as a translational psychobiotic: modulation of stress, electrophysiology and neurocognition in healthy volunteers.

Authors:  A P Allen; W Hutch; Y E Borre; P J Kennedy; A Temko; G Boylan; E Murphy; J F Cryan; T G Dinan; G Clarke
Journal:  Transl Psychiatry       Date:  2016-11-01       Impact factor: 6.222

4.  Prediction of gait intention from pre-movement EEG signals: a feasibility study.

Authors:  S M Shafiul Hasan; Masudur R Siddiquee; Roozbeh Atri; Rodrigo Ramon; J Sebastian Marquez; Ou Bai
Journal:  J Neuroeng Rehabil       Date:  2020-04-16       Impact factor: 4.262

  4 in total

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