Intraindividual analysis of antiepileptic drug effects on EEG background rhythms

Salinsky, Martin; Oken, Barry; Morehead, L.

doi:10.1016/0013-4694(94)90090-6

Cited by 44 publications

(32 citation statements)

References 26 publications

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“…The effect of the drugs on EEG signal is variable depending on the type and on the dose. Some of these drugs are known to increase high-frequency band activity (Huang and Shen, 1997;Salinsky et al, 1994). It is unclear how they can affect the other bands.…”

Section: Cerebral Correlates Of Betamentioning

confidence: 99%

Effects of fluctuating physiological rhythms during prolonged EEG-fMRI studies

Tyvaert¹,

LeVan²,

Grova³

et al. 2008

Clinical Neurophysiology

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Objective-We evaluated BOLD correlates of alertness fluctuations commonly seen during prolonged EEG-fMRI studies to better define the brain areas active at different phases of vigilance and to assess the contribution of these fluctuations to the BOLD signal.Methods-We evaluated BOLD changes specifically related to the main physiological EEG rhythms (alpha, beta, theta, delta, spindles) in 15 epilepsy patients with rare discharges (all the regressors were included in the same general linear model to improve specificity).Results-We found a consistent effect of spindles, alpha and theta. For alpha, BOLD was positively correlated in thalami and putamen, and negatively correlated in the occipital, parietal and frontal lobes. For theta, a negative correlation was found over the parietal, temporal and frontal lobes. Spindles were correlated with a positive BOLD in thalami and putamen. Rhythm regressors added as confounds in the fMRI analysis explained at least 5% of BOLD signal variance in 6.8 ± 8.9% of gray matter voxels, a contribution which is of the order of typical changes in fMRI studies.Conclusion-First, we found specific cerebral structures involved in each main EEG rhythm generation. Second, fluctuations of these rhythms following vigilance changes are responsible for noteworthy BOLD changes. Significance: Physiological EEG rhythms may be integrated to the analysis of EEG-fMRI in studies with fluctuation of alertness, to eliminate possible confounding factors.

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Section: Cerebral Correlates Of Betamentioning

confidence: 99%

Effects of fluctuating physiological rhythms during prolonged EEG-fMRI studies

Tyvaert¹,

LeVan²,

Grova³

et al. 2008

Clinical Neurophysiology

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“…Firstly, previous studies related to the ingestion of drugs have reported a slowing of EEG activity and a complexity decrease [49,50]. In our study, none of the participants were taking any medication that could affect brain activity at the time of EEG recording, so we can discard this issue.…”

Section: Discussionmentioning

confidence: 87%

Characterization of EEG patterns in brain-injured subjects and controls after a Snoezelen® intervention

Gómez

Poza

Gutiérrez³

et al. 2016

Computer Methods and Programs in Biomedicine

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Abstract-Additionally, these changes are more widespread in controls than in brain-injured subjects, which can be due to cognitive deficits in TBI and CP groups. Conclusions:Our findings support the notion that Snoezelen ® therapy affects central nervous system, inducing a slowing of oscillatory activity, as well as a decrease of EEG complexity and irregularity. These alterations seem to be related with higher levels of relaxation of the participants.

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“…The alpha rhythm is also prone to frequency changes in some disorders as epilepsy, dementia and some tumours, and in treatment with antiepileptic drugs [27][28][29][30][31][32][33][34][35] to some extent implemented to find alpha rhythm frequencies in short segments (a few seconds), but fully automatic analysis is not commonly applied clinically.…”

Section: Discussionmentioning

confidence: 99%

“…Peak-to-peak intervals outside the alpha band (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36) Hz (period time: 0.0781s -0.1406s)) and peaks with amplitude difference below 10 ȝV in two consecutive half waves were discarded.…”

Section: Automatic Assessment Of Alpha Waves In Time Domain (Atd)mentioning

confidence: 99%