Literature DB >> 8054410

Reduced EEG coherence in dementia: state or trait marker?

J J Dunkin1, A F Leuchter, T F Newton, I A Cook.   

Abstract

Recent work from our laboratory demonstrated that quantitative electroencephalographic (EEG) coherence between brain areas linked by long cortico-cortical fibers (termed "fascicle" coherence) was differentially reduced in subjects with Alzheimer's disease, whereas coherence between brain areas linked by short cortico-cortical and cortico-subcortical fibers in postcentral areas (termed "visual" coherence) was differentially reduced in subjects with multi-infarct dementia. In this study, we investigated whether these differences in coherence represent "trait" or "state" markers for dementia. Visual coherence demonstrated high stability in both demented groups as assessed by both one-year test-retest reliabilities and analysis of group mean change. Fascicle coherence demonstrated good stability in multi-infarct dementia and control subjects, but some variability was observed in Alzheimer's subjects, suggesting both state and trait factors may be involved. These findings complement neuropathologic studies, and suggest that decreases in coherence may serve as a diagnostic trait markers for these two types of dementia. The role of state factors in Alzheimer's disease requires further investigation.

Entities:  

Mesh:

Year:  1994        PMID: 8054410     DOI: 10.1016/0006-3223(94)90023-x

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


  14 in total

1.  An Electrophysiological Biomarker That May Predict Treatment Response to ECT.

Authors:  Katherine W Scangos; Richard D Weiner; Edward C Coffey; Andrew D Krystal
Journal:  J ECT       Date:  2019-06       Impact factor: 3.635

2.  Changes in electrocortical power and coherence in response to the selective cholinergic immunotoxin 192 IgG-saporin.

Authors:  D P Holschneider; J J Waite; A F Leuchter; N Y Walton; O U Scremin
Journal:  Exp Brain Res       Date:  1999-05       Impact factor: 1.972

3.  Electroencephalographic coherence analysis in multiple sclerosis: correlation with clinical, neuropsychological, and MRI findings.

Authors:  L Leocani; T Locatelli; V Martinelli; M Rovaris; M Falautano; M Filippi; G Magnani; G Comi
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-08       Impact factor: 10.154

Review 4.  Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology.

Authors:  Harald Hampel; Nicola Toschi; Claudio Babiloni; Filippo Baldacci; Keith L Black; Arun L W Bokde; René S Bun; Francesco Cacciola; Enrica Cavedo; Patrizia A Chiesa; Olivier Colliot; Cristina-Maria Coman; Bruno Dubois; Andrea Duggento; Stanley Durrleman; Maria-Teresa Ferretti; Nathalie George; Remy Genthon; Marie-Odile Habert; Karl Herholz; Yosef Koronyo; Maya Koronyo-Hamaoui; Foudil Lamari; Todd Langevin; Stéphane Lehéricy; Jean Lorenceau; Christian Neri; Robert Nisticò; Francis Nyasse-Messene; Craig Ritchie; Simone Rossi; Emiliano Santarnecchi; Olaf Sporns; Steven R Verdooner; Andrea Vergallo; Nicolas Villain; Erfan Younesi; Francesco Garaci; Simone Lista
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

5.  A systematic data-driven approach to analyze sensor-level EEG connectivity: Identifying robust phase-synchronized network components using surface Laplacian with spectral-spatial PCA.

Authors:  Ezra E Smith; Tarik S Bel-Bahar; Jürgen Kayser
Journal:  Psychophysiology       Date:  2022-04-27       Impact factor: 4.348

6.  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

Review 7.  Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel.

Authors:  Claudio Babiloni; Xianghong Arakaki; Hamed Azami; Karim Bennys; Katarzyna Blinowska; Laura Bonanni; Ana Bujan; Maria C Carrillo; Andrzej Cichocki; Jaisalmer de Frutos-Lucas; Claudio Del Percio; Bruno Dubois; Rebecca Edelmayer; Gary Egan; Stephane Epelbaum; Javier Escudero; Alan Evans; Francesca Farina; Keith Fargo; Alberto Fernández; Raffaele Ferri; Giovanni Frisoni; Harald Hampel; Michael G Harrington; Vesna Jelic; Jaeseung Jeong; Yang Jiang; Maciej Kaminski; Voyko Kavcic; Kerry Kilborn; Sanjeev Kumar; Alice Lam; Lew Lim; Roberta Lizio; David Lopez; Susanna Lopez; Brendan Lucey; Fernando Maestú; William J McGeown; Ian McKeith; Davide Vito Moretti; Flavio Nobili; Giuseppe Noce; John Olichney; Marco Onofrj; Ricardo Osorio; Mario Parra-Rodriguez; Tarek Rajji; Petra Ritter; Andrea Soricelli; Fabrizio Stocchi; Ioannis Tarnanas; John Paul Taylor; Stefan Teipel; Federico Tucci; Mitchell Valdes-Sosa; Pedro Valdes-Sosa; Marco Weiergräber; Gorsev Yener; Bahar Guntekin
Journal:  Alzheimers Dement       Date:  2021-04-15       Impact factor: 16.655

8.  Memory binding and white matter integrity in familial Alzheimer's disease.

Authors:  Mario A Parra; Heini Saarimäki; Mark E Bastin; Ana C Londoño; Lewis Pettit; Francisco Lopera; Sergio Della Sala; Sharon Abrahams
Journal:  Brain       Date:  2015-03-11       Impact factor: 13.501

9.  A novel biomarker of amnestic MCI based on dynamic cross-frequency coupling patterns during cognitive brain responses.

Authors:  Stavros I Dimitriadis; Nikolaos A Laskaris; Malamati P Bitzidou; Ioannis Tarnanas; Magda N Tsolaki
Journal:  Front Neurosci       Date:  2015-10-20       Impact factor: 4.677

10.  The effects of automated artifact removal algorithms on electroencephalography-based Alzheimer's disease diagnosis.

Authors:  Raymundo Cassani; Tiago H Falk; Francisco J Fraga; Paulo A M Kanda; Renato Anghinah
Journal:  Front Aging Neurosci       Date:  2014-03-25       Impact factor: 5.750

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.