Literature DB >> 10431454

Cortical atrophy in Alzheimer's disease unmasks electrically silent sulci and lowers EEG dipolarity.

J Hara1, W R Shankle, T Musha.   

Abstract

Alzheimer's disease (AD) patients show lower dipolarity (goodness-of-fit) for dipole localizations of alpha or other dominant electroencephalography (EEG) frequency components in the occipital cortex. In the present study, we performed computer simulations to discover which of distributions of dipole activity lower dipolarity in a manner similar to that seen in severe AD. Dipolarity was estimated from simulations of various electric dipole generator configurations within the occipital cortex under conditions of widened cortical sulci (a severely demented AD case) or no sulcal widening (a normal subject). The cortical and scalp surfaces, derived from the subjects' MRI's, were assumed to be uniformly electrically conducting. Randomly placed, nonoverlapping lesions ranging from 1 to 4 mm2 per lesion were used in both the normal and AD models to simulate the electrical effect of neuropathological AD lesions. In both models, dipolarity decreased as total lesion size increased. However, the AD model showed lower dipolarity than the normal model for both individual lesion sizes and for larger total lesion sizes. The larger decline in dipolarity in the AD model appears to be due to sulcal widening which unmasks the effect of lesions buried within sulci. These simulations identify a possible mechanism explaining why sulcally-located neuropathological changes plus progressive cortical atrophy in AD brains (and presumably other cortical disorders producing atrophy) alter EEG patterns and dipolarity differently from normal cortex damaged by similar lesions.

Entities:  

Mesh:

Year:  1999        PMID: 10431454     DOI: 10.1109/10.775399

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 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.  Partial independence of bioelectric and biomagnetic fields and its implications for encephalography and cardiography.

Authors:  Andrei Irimia; Kenneth R Swinney; John P Wikswo
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-05-13

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
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.