Responses of the Nervous System to Low Frequency Stimulation and EEG Rhythms: Clinical Implications

Salansky, N.; Федотчев, А. И.; Bondar, A. T.

doi:10.1016/s0149-7634(97)00029-8

Cited by 43 publications

(27 citation statements)

References 131 publications

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“…In the group without CV damage, as well as in the group with severe CV damage, the low a bandwidth was slightly narrower than in mild and moderate CV damage groups. This result deserves to be discussed, since previous studies (Jonkmann et al, 1992;Salansky et al, 1998) have demonstrated that small differences (0.3 Hz) in the EEG bandwidth could affect the estimation of the band power magnitude. It should be noted first that the statistical analysis did not show a significant difference among bandwidths.…”

Section: Relative Power Spectral Density and CV Damagementioning

confidence: 79%

Vascular damage and EEG markers in subjects with mild cognitive impairment

Moretti

Miniussi

Frisoni

et al. 2007

Clinical Neurophysiology

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Objective: We evaluated the changes induced by cerebrovascular (CV) damage on brain rhythmicity recorded by electroencephalography (EEG) in a cohort of subjects with mild cognitive impairment (MCI). Methods: We enrolled 99 MCI subjects (Mini-Mental State Examination [MMSE] mean score 26.6). All subjects underwent EEG recording and magnetic resonance imaging (MRI). EEGs were recorded at rest. Individual EEG frequencies were indexed by the h/a transition frequency (TF) and by the individual a frequency (IAF) with power peak in the extended a range (5-14 Hz). Relative power was separately computed for d, h, a1, a2, and a3 frequency bands on the basis of the TF and IAF values. Subsequently, we divided the cohort in four sub-groups based on subcortical CV damage as scored by the age-related white matter changes scale (ARWMC). Results: CV damage was associated with 'slowing' of TF proportional to its severity. In the spectral bandpower the severity of vascular damage was associated with increased d power and decreased a2 power. No association of vascular damage was observed with IAF and a3 power. Moreover, the h/a1 ratio could be a reliable index for the estimation of the individual extent of CV damage. Conclusions: EEG analysis may show physiological markers sensitive to CV damage. The appropriate use of this EEG index may help the differential diagnosis of different forms of cognitive decline, namely primary degenerative and secondary to CV damage. Significance: The EEG neurophysiological approach, together with anatomical features from imaging, could be helpful in the understanding of the functional substrate of dementing disorders.

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Section: Relative Power Spectral Density and CV Damagementioning

confidence: 79%

Vascular damage and EEG markers in subjects with mild cognitive impairment

Moretti

Miniussi

Frisoni

et al. 2007

Clinical Neurophysiology

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“…We found that the low alpha bandwidth in the AD group was slightly narrower than both Nold (0.3 Hz) and VaD (0.25 Hz) groups. This result merits to be discussed since previous studies (Jonkmann et al, 1992;Salansky et al, 1998) have demonstrated that small differences (0.3 Hz) in the EEG bandwidth could affect the estimation of band power magnitude. However, it should be remarked that in the present study the low alpha band was divided in two sub-bands (alpha1 and alpha2), so that the mean difference of the alpha sub-band widths in the normal and AD subjects were practically negligible, i.e.…”

Section: Relative Power and Frequency Of Alpha Rhythms In Mild Dementiamentioning

confidence: 80%

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

Moretti

Babiloni

Binetti

et al. 2004

Clinical Neurophysiology

330

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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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“…Although quantitative EEG measures can be used to identify the extent and severity of cerebral pathology (see Salansky et al, 1998), its use of scalp surface electrodes does not provide information regarding intracerebral distribution of neuronal signals. Low-resolution electromagnetic tomography (LORETA), however, enables three-dimensional functional imaging of brain electrical activity.…”

Section: Cerebral Blood Flow and Brain Activity [H 2 -mentioning

confidence: 99%