Literature DB >> 8793033

Synaptic dysfunction in Alzheimer's disease: clinical assessment using quantitative EEG.

I A Cook1, A F Leuchter.   

Abstract

Plasticity of synaptic connections is a critical feature of the central nervous system. Early development of the young brain and later learning and memory are all dependent upon the modulation of connections among neurons. Growing evidence suggests that disturbances of synaptic function may underlie several neuropsychiatric disorders, including epilepsy, Alzheimer's disease, and others. Two quantitative EEG (QEEG) measures, cordance and coherence, allow non-invasive assessment of synaptic dysfunction in the intact, living, human brain. We have applied these methods to the study of Alzheimer's disease and other dementing illnesses of the elderly. We summarize findings of regional brain dysfunction associated with disturbances in synaptic connectivity in these studies and suggest ways in which these techniques may be employed to assess synaptic function in investigations of normal brain development and adaptive functioning, as well as of the neurophysiology of these diseases.

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Year:  1996        PMID: 8793033     DOI: 10.1016/0166-4328(95)00214-6

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  13 in total

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2.  Power spectral density and coherence analysis of Alzheimer's EEG.

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Authors:  Tatiana A Sitnikova; Jeremy W Hughes; Seppo P Ahlfors; Mark W Woolrich; David H Salat
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9.  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
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10.  Measuring Alterations of Spontaneous EEG Neural Coupling in Alzheimer's Disease and Mild Cognitive Impairment by Means of Cross-Entropy Metrics.

Authors:  Saúl J Ruiz-Gómez; Carlos Gómez; Jesús Poza; Mario Martínez-Zarzuela; Miguel A Tola-Arribas; Mónica Cano; Roberto Hornero
Journal:  Front Neuroinform       Date:  2018-10-30       Impact factor: 4.081

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