Computerized EEG spectral analysis in elderly normal, demented and depressed subjects

Brenner, Richard P.; Ulrich, Richard F.; Spiker, Duane G.; Sclabassi, R.J.; Reynolds, Charles F.; Marin, Robert S.; Boller, François

doi:10.1016/0013-4694(86)90184-7

Cited by 286 publications

(139 citation statements)

References 22 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: 93%

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

Moretti

Babiloni

Binetti

et al. 2004

Clinical Neurophysiology

324

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: 93%

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

Moretti

Babiloni

Binetti

et al. 2004

Clinical Neurophysiology

324

251

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“…Patients in the Major NPSLE group with delirium or dementia had significant EEG slowing, as did patients in the Minor NPSLE group with cognitive symptoms, although the slowing was less severe. These QEEG profiles are similar to those noted in patients with primary degenerative dementia, where the degree of slowing also correlates with the severity of cognitive impairment (47,61,66). These observations, along with the high correlation between theta relative power and lower scores on cognitive tests, demonstrate that slow wave activity is associated with cognitive decline in these patients.…”

Section: Discussionsupporting

confidence: 75%

“…These abnormalities correlated with the severity of CNS involvement as determined by neurologic, psychiatric, and clinical assessment. Furthermore, SLE patients who presented with dementia, delirium, and depression displayed characteristic QEEG profiles that were similar to those reported in non-SLE patients with corresponding disorders (47,48).…”

Section: Discussionsupporting

confidence: 72%

Quantitative electroencephalography: A new approach to the diagnosis of cerebral dysfunction in systemic lupus erythematosus

Ritchlin

Chabot

Alper

et al. 1992

Arthritis & Rheumatism

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Objective. Neuropsychiatric manifestations are common in patients with systemic lupus erythematosus (SLE), but accurate diagnosis is often difficult. We conducted a prospective study to determine the utility of neurometric quantitative electroencephalography (QEEG) as an indicator of cerebral dysfunction in SLE patients. Methods. Fifty-two SLE patients were divided into 4 groups based on the results of neuropsychiatric evaluations. These included patients with objective evidence of neuropsychiatric SLE (NPSLE), patients with neuropsychiatric symptoms, patients with no evidence of NPSLE, and patients with a prior history of NPSLE. All QEEG findings were compared with data in an age-regressed normative database and with findings in an independent sample of normal subjects.Results. QEEG sensitivity was 87%, and specificity was 75%. QEEG results were abnormal in 74% of the SLE patients with neuropsychiatric symptoms and in 28% of the patients with no evidence of active NPSLE. QEEG profiles varied as a function of the severity and type of neuropsychiatric manifestation present. Within this patient population, QEEG was more sensitive than magnetic resonance imaging, computed tomography scanning, or conventional EEG.Conclusion. Neurometric QEEG may be a sensitive indicator of cerebral dysfunction in patients with NPSLE and can differentiate patients with diverse neuropsychiatric manifestations. When combined with a careful clinical history and evaluation, QEEG provides information that may be useful for the early detection of NPSLE and for serial evaluation of disease activity and treatment efficacy.Neurologic and psychiatric manifestations of systemic lupus erythematosus (SLE) are common, occurring at any time during the illness, and often in the absence of generalized disease activity. Estimates of the prevalence of neuropsychiatric SLE (NPSLE) vary between 24% and 75% (1-7). This variability is partially due to the lack of uniform diagnostic criteria for determining central nervous system (CNS) involve-

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“…EEG and MEG slowing have not only been observed in AD, but also in other forms of dementia as mild cognitive impairment [18,19,32], vascular dementia [25,27], dementia associated with Parkinson's disease [26,48], Lewy body dementia [26,28,49], major depression [50,51], Huntington's chorea and progressive supranuclear palsy [16,26]. Further investigation should be attempted in order to study differences in slowing for every disorder.…”

Section: Insert Table 4 About Herementioning

confidence: 99%