Literature DB >> 9810483

Abnormal functional connectivity in Alzheimer's disease: intrahemispheric EEG coherence during rest and photic stimulation.

Y Wada1, Y Nanbu, M Kikuchi, Y Koshino, T Hashimoto, N Yamaguchi.   

Abstract

Electroencephalography (EEG) coherence provides a measure of functional correlations between two EEG signals. The present study was conducted to examine intrahemispheric EEG coherence at rest and during photic stimulation (PS; 5, 10 and 15 Hz) in ten unmedicated patients with presenile dementia of the Alzheimer type (AD; mean age at onset 56 years). In the resting EEG, the AD patients had significantly lower coherence than gender- and age-matched control subjects in the alpha-1, alpha-2 and beta-1 frequency bands. The EEG analysis during PS also showed that the patients had significantly lower coherence in the frequency corresponding to PS at 10 and 15 Hz. In this study, the changes in coherence from the resting state to the stimulus condition (i.e. PS-related coherence reactivity) were examined. The patients were found to show significantly smaller coherence reactivity to PS at 5 and 15 Hz. These findings suggest that, in addition to the resting state, AD patients have an impairment of intrahemispheric functional connectivity during PS. They also suggest that AD shows a failure of PS-related functional reorganization.

Entities:  

Mesh:

Year:  1998        PMID: 9810483     DOI: 10.1007/s004060050038

Source DB:  PubMed          Journal:  Eur Arch Psychiatry Clin Neurosci        ISSN: 0940-1334            Impact factor:   5.270


  11 in total

Review 1.  A review of EEG and MEG for brainnetome research.

Authors:  Xin Zhang; Xu Lei; Ting Wu; Tianzi Jiang
Journal:  Cogn Neurodyn       Date:  2013-11-22       Impact factor: 5.082

Review 2.  Alzheimer's disease as a disconnection syndrome?

Authors:  X Delbeuck; M Van der Linden; F Collette
Journal:  Neuropsychol Rev       Date:  2003-06       Impact factor: 7.444

3.  White matter vascular lesions are related to parietal-to-frontal coupling of EEG rhythms in mild cognitive impairment.

Authors:  Claudio Babiloni; Giovanni B Frisoni; Michela Pievani; Fabrizio Vecchio; Francesco Infarinato; Cristina Geroldi; Serenella Salinari; Raffaele Ferri; Claudia Fracassi; Fabrizio Eusebi; Paolo M Rossini
Journal:  Hum Brain Mapp       Date:  2008-12       Impact factor: 5.038

4.  Direction of Information Flow in Alzheimer's Disease and MCI Patients.

Authors:  Fabrizio Vecchio; Claudio Babiloni
Journal:  Int J Alzheimers Dis       Date:  2011-04-07

5.  Electroencephalographic rhythms in Alzheimer's disease.

Authors:  Roberta Lizio; Fabrizio Vecchio; Giovanni B Frisoni; Raffaele Ferri; Guido Rodriguez; Claudio Babiloni
Journal:  Int J Alzheimers Dis       Date:  2011-05-12

6.  Mapping the Alzheimer's brain with connectomics.

Authors:  Teng Xie; Yong He
Journal:  Front Psychiatry       Date:  2012-01-05       Impact factor: 4.157

7.  The Contribution of Increased Gamma Band Connectivity to Visual Non-Verbal Reasoning in Autistic Children: A MEG Study.

Authors:  Natsumi Takesaki; Mitsuru Kikuchi; Yuko Yoshimura; Hirotoshi Hiraishi; Chiaki Hasegawa; Reizo Kaneda; Hideo Nakatani; Tetsuya Takahashi; Laurent Mottron; Yoshio Minabe
Journal:  PLoS One       Date:  2016-09-15       Impact factor: 3.240

8.  Short timescale abnormalities in the states of spontaneous synchrony in the functional neural networks in Alzheimer's disease.

Authors:  Tatiana A Sitnikova; Jeremy W Hughes; Seppo P Ahlfors; Mark W Woolrich; David H Salat
Journal:  Neuroimage Clin       Date:  2018-05-22       Impact factor: 4.881

9.  Declining functional connectivity and changing hub locations in Alzheimer's disease: an EEG study.

Authors:  Marjolein M A Engels; Cornelis J Stam; Wiesje M van der Flier; Philip Scheltens; Hanneke de Waal; Elisabeth C W van Straaten
Journal:  BMC Neurol       Date:  2015-08-20       Impact factor: 2.474

10.  A Deep Learning Approach for Mild Depression Recognition Based on Functional Connectivity Using Electroencephalography.

Authors:  Xiaowei Li; Rong La; Ying Wang; Bin Hu; Xuemin Zhang
Journal:  Front Neurosci       Date:  2020-04-01       Impact factor: 4.677

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.