EEG coherence in Alzheimer disease

Besthorn, C.; Förstl, Hans; Geiger-Kabisch, C.; Sattel, Heribert; Gasser, T.; Schreiter-Gasser, Ursula

doi:10.1016/0013-4694(94)90095-7

Cited by 192 publications

(133 citation statements)

References 24 publications

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“…Decreases in coherence in AD have been reported mostly in alpha (Leuchter et al 1992;Besthorn et al 1994;Sloan et al 1994;Jelic et al 1997) but also in beta bands (Leuchter et al 1992;Besthorn et al 1994), similar to those seen following scopolamine administration in normal subjects (Sloan et al 1992). Decreases have been reported at least in one study to be more significant for intrahemispheric than for interhemispheric coherence (Calderon et al 1997), with greatest decreases noted in long corticocortical fiber tracts (Leuchter et al 1992).…”

Section: Discussionmentioning

confidence: 85%

“…Considering the prominence of cholinergic deafferentation in Alzheimer's disease (AD), it is not surprising that decreases in coherence are prominent in this disorder (Leuchter et al 1992Besthorn et al 1994;Dunkin et al 1994;Jelic et al 1997). Decreases in coherence in AD have been reported mostly in alpha (Leuchter et al 1992;Besthorn et al 1994;Sloan et al 1994;Jelic et al 1997) but also in beta bands (Leuchter et al 1992;Besthorn et al 1994), similar to those seen following scopolamine administration in normal subjects (Sloan et al 1992).…”

Section: Discussionmentioning

confidence: 93%

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

Holschneider

Waite

Leuchter

et al. 1999

Experimental Brain Research

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Changes in brain electrical activity in response to cholinergic agonists, antagonists, or excitotoxic lesions of the basal forebrain may not be reflective entirely of changes in cholinergic tone, in so far as these interventions also involve noncholinergic neurons. We examined electrocortical activity in rats following bilateral intracerebroventricular administration of 192 IgG-saporin (1.8 μg/ventricle), a selective cholinergic immunotoxin directed to the low-affinity nerve growth factor receptor p75. The immunotoxin resulted in extensive loss of choline acetyl transferase (ChAT) activity in neocortex (80%-84%) and hippocampus (93%), with relative sparing of entorhinalpiriform cortex (42%) and amygdala (28%). Electrocortical activity demonstrated modest increases in 1-to 4-Hz power, decreases in 20-to 44-Hz power, and decreases in 4-to 8-Hz intraand interhemispheric coherence. Rhythmic slow activity (RSA) occurred robustly in toxin-treated animals during voluntary movement and in response to physostigmine, with no significant differences seen in power and peak frequency in comparison with controls. Physostigmine significantly increased intrahemispheric coherence in lesioned and intact animals, with minor increases seen in interhemispheric coherence. Our study suggests that: (1) electrocortical changes in response to selective cholinergic deafferentation are more modest than those previously reported following excitotoxic lesions; (2) changes in cholinergic tone affect primarily brain electrical transmission within, in contrast to between hemispheres; and (3) a substantial

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Section: Discussionmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 93%

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

Holschneider

Waite

Leuchter

et al. 1999

Experimental Brain Research

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“…• A large number of studies have reported a decrease in magnitude and phase coherence in the EEG of MCI and AD patients (Stevens et al, 2001;Brassen et al, 2004;Locatelli et al, 1998;Wada et al, 1998;Hogan et al, 2003;Anghinah et al, 2000;Besthorn et al, 1994;Hidasi et al, 2007;Jellens et al, 2008;Stam, 2007;Güntekin et al, 2008). In (Brassen et al, 2004) those measures allowed to separate depressed MCI patients from control subjects.…”

Section: Discussionmentioning

confidence: 99%

A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG

Dauwels

Vialatte

Musha³

et al. 2010

NeuroImage

371

384

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It is well known that EEG signals of Alzheimer's disease (AD) patients are generally less synchronous than in age-matched control subjects. However, this effect is not always easily detectable. This is especially the case for patients in the pre-symptomatic phase, commonly referred to as Mild Cognitive Impairment (MCI), during which neuronal degeneration is occurring prior to the clinical symptoms appearance. In this paper, various synchrony measures are studied in the context of AD diagnosis, including the correlation coefficient, mean-square and phase coherence, Granger causality, phase synchrony indices, information-theoretic divergence measures, state space based measures, and the recently proposed stochastic event synchrony measures. Experiments with EEG data show that many of those measures are strongly correlated (or anti-correlated) with the correlation coefficient, and hence, provide little complementary information about EEG synchrony. Measures that are only weakly correlated with the correlation coefficient include the phase synchrony indices, Granger causality measures, and stochastic-event synchrony measures. In addition, those three families of synchrony measures are mutually uncorrelated, and therefore, they each seem to capture a specific kind of interdependence. For the data set at hand, only two synchrony measures are able to convincingly distinguish AD patients from age-matched control patients, i.e., Granger causality (in particular, full-frequency directed transfer function) and stochastic event synchrony. Those two measures are used as features to distinguish MCI patients from age-matched control subjects, yielding a leave-one-out classification rate of 83%. The classification performance may be further improved by adding complementary features from EEG; this approach may eventually lead to a reliable EEG-based diagnostic tool for MCI and AD.

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“…AD patients show a decrease of coherence values at the α and β bands in EEG [14,15], together with a slowing of spontaneous electrical brain activity. An increase of the δ (0.5-4 Hz) and θ (4-8 Hz) power, along with a decrease of the α (8-13 Hz) and β (13-30 Hz) power have been widely reported in EEG studies [16][17][18][19].…”

Section: Introductionmentioning

confidence: 98%

Evaluation of spectral ratio measures from spontaneous MEG recordings in patients with Alzheimer's disease

Poza

Hornero

Abásolo

et al. 2008

Computer Methods and Programs in Biomedicine

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EEG coherence in Alzheimer disease

Cited by 192 publications

References 24 publications

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

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

A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG

Evaluation of spectral ratio measures from spontaneous MEG recordings in patients with Alzheimer's disease

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