Regional EEG analysis and regional cerebral blood flow in Alzheimer's and Pick's diseases

Stigsby, B.; Jóhannesson, G; Ingvar, David H.

doi:10.1016/0013-4694(81)90230-3

Cited by 103 publications

(36 citation statements)

References 36 publications

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“…These findings agree with previous reports in which white matter lesions in mild VaD induced a large and widespread increase of the slow EEG power (Gloor et al, 1968;Coben et al, 1983), correlated with a reduction in regional cerebral metabolism (Szelies et al, 1999). The present findings also agree with previous studies in AD demonstrating an increase in slow EEG rhythms together with a reduction of regional cerebral blood flow (Rae-Grant et al, 1987;Stigsby et al, 1981;Brenner et al, 1986;Nobili et al, 1999).…”

Section: Low Eeg Rhythms In Mild Dementiasupporting

confidence: 94%

Individual analysis of EEG frequency and band power in mild Alzheimer's disease

Moretti

Babiloni

Binetti

et al. 2004

Clinical Neurophysiology

330

251

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Objective: This EEG study investigates the role of the cholinergic system, cortico-cortical connections, and sub-cortical white matter on the relationship between individual EEG frequencies and their relative power bands.Methods: EEGs were recorded at rest in 30 normal elderly subjects (Nold), 60 mild Alzheimer disease (AD) and 20 vascular dementia (VaD) patients, comparable for Mini Mental State Evaluation scores . Individual EEG frequencies were indexed by the theta/alpha transition frequency (TF) and by the individual alpha frequency (IAF) with power peak in the extended alpha range (5 -14 Hz). Relative power was separately computed for delta, theta, alpha1, alpha2, and alpha3 bands, on the basis of the TF and IAF.Results: Using normal subjects as a reference, VaD patients showed 'slowing' of alpha frequency (TF-IAF) and lower alpha2 power; Mild AD patients showed lower alpha2 and alpha3 power; delta power was higher in both AD and VaD patients; Theta power was higher only in VaD patients.Conclusions: Individual analysis of the alpha frequency and power can discriminate mild AD from VaD and normal elderly subjects.Significance: This analysis may probe pathophysiological mechanisms causing AD and VaD.

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Section: Low Eeg Rhythms In Mild Dementiasupporting

confidence: 94%

Individual analysis of EEG frequency and band power in mild Alzheimer's disease

Moretti

Babiloni

Binetti

et al. 2004

Clinical Neurophysiology

330

251

View full text Add to dashboard Cite

show abstract

“…In a similar sense, both EEG and MEG slowing have also been reported in other neurodegenerative diseases like mild cognitive impairment [13,36], vascular dementia [28,35,54], Lewy body dementia [18,31], major depression [34,55,56], dementia associated with Parkinson's disease [31,57,58], Pick's disease [59], Huntington's chorea [60] and progressive supranuclear palsy [31]. To extract accurate markers of AD, further studies should analyze differences in the slowing of EEG/MEG rhythms when comparing AD and the aforementioned diseases.…”

Section: Discussionmentioning

confidence: 95%

Extraction of spectral based measures from MEG background oscillations in Alzheimer's disease

Poza

Hornero

Abásolo

et al. 2007

Medical Engineering & Physics

104

160

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“…It can be speculated that in the quiet wakefulness, the abnormal increase in magnitude of cortical delta rhythms is caused by an altered interaction between cortical pyramidal and thalamic neural populations, which could induce a dysfunctional connectivity and partial isolation of cortical generators of these rhythms [58,76,77]. The relationship between such a functional isolation and the increase of delta rhythms in AD patients would be suggested by a concomitant reduction of regional cortical blood perfusion and metabolism [78][79][80][81][82][83][84][85][86], as well as the atrophy of the cortical gray matter and the hippocampus [34,87,88]. Keeping in mind the above data and considerations, the present findings in the delta cortical sources would suggest a frontal and parietal localization of these abnormalities in the early stages of both AD and PD with cognitive deficits.…”

Section: The Rseeg Markers Showing Differences Between the Nold Admcmentioning

confidence: 99%

Abnormalities of Cortical Neural Synchronization Mechanisms in Subjects with Mild Cognitive Impairment due to Alzheimer’s and Parkinson’s Diseases: An EEG Study

Babiloni

Percio

Lizio

et al. 2017

JAD

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Abstract. The aim of this retrospective and exploratory study was that the cortical sources of resting state eyes-closed electroencephalographic (rsEEG) rhythms might reveal different abnormalities in cortical neural synchronization in groups of patients with mild cognitive impairment due to Alzheimer's disease (ADMCI) and Parkinson's disease (PDMCI) as compared to healthy subjects. Clinical and rsEEG data of 75 ADMCI, 75 PDMCI, and 75 cognitively normal elderly (Nold) subjects were available in an international archive. Age, gender, and education were carefully matched in the three groups. The Mini-Mental State Evaluation (MMSE) was matched between the ADMCI and PDMCI groups. Individual alpha frequency peak (IAF) was used to determine the delta, theta, alpha1, alpha2, and alpha3 frequency band ranges. Fixed beta1, beta2, and gamma bands were also considered. eLORETA estimated the rsEEG cortical sources. Receiver operating characteristic curve (ROC) classified these sources across individuals. Results showed that compared to the Nold group, the posterior alpha2 and alpha3 source activities were more abnormal in the ADMCI than the PDMCI group, while the parietal delta source activities were more abnormal in the PDMCI than the ADMCI group. The parietal delta and alpha sources correlated with MMSE score and correctly classified the Nold and diseased individuals (area under the ROC = 0.77-0.79). In conclusion, the PDMCI and ADMCI patients showed different features of cortical neural synchronization at delta and alpha frequencies underpinning brain arousal and vigilance in the quiet wakefulness. Future prospective cross-validation studies will have to test these rsEEG markers for clinical applications and drug discovery.

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Regional EEG analysis and regional cerebral blood flow in Alzheimer's and Pick's diseases

Cited by 103 publications

References 36 publications

Individual analysis of EEG frequency and band power in mild Alzheimer's disease

Individual analysis of EEG frequency and band power in mild Alzheimer's disease

Extraction of spectral based measures from MEG background oscillations in Alzheimer's disease

Abnormalities of Cortical Neural Synchronization Mechanisms in Subjects with Mild Cognitive Impairment due to Alzheimer’s and Parkinson’s Diseases: An EEG Study

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