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Network alterations in temporal lobe epilepsy during non-rapid eye movement sleep and wakefulness.
Rigoni, I; Vorderwülbecke, B J; Carboni, M; Roehri, N; Spinelli, L; Tononi, G; Seeck, M; Perogamvros, L; Vulliémoz, S.
Afiliação
  • Rigoni I; EEG and Epilepsy Unit, University Hospital and Faculty of Medicine of Geneva, University of Geneva, Switzerland. Electronic address: Isotta.rigoni@unige.ch.
  • Vorderwülbecke BJ; EEG and Epilepsy Unit, University Hospital and Faculty of Medicine of Geneva, University of Geneva, Switzerland; Epilepsy-Center Berlin-Brandenburg, Department of Neurology with Experimental Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Un
  • Carboni M; EEG and Epilepsy Unit, University Hospital and Faculty of Medicine of Geneva, University of Geneva, Switzerland.
  • Roehri N; EEG and Epilepsy Unit, University Hospital and Faculty of Medicine of Geneva, University of Geneva, Switzerland.
  • Spinelli L; EEG and Epilepsy Unit, University Hospital and Faculty of Medicine of Geneva, University of Geneva, Switzerland.
  • Tononi G; Department of Psychiatry, University of Wisconsin, Madison, WI, USA.
  • Seeck M; EEG and Epilepsy Unit, University Hospital and Faculty of Medicine of Geneva, University of Geneva, Switzerland.
  • Perogamvros L; Center for Sleep Medicine, Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland.
  • Vulliémoz S; EEG and Epilepsy Unit, University Hospital and Faculty of Medicine of Geneva, University of Geneva, Switzerland.
Clin Neurophysiol ; 159: 56-65, 2024 03.
Article em En | MEDLINE | ID: mdl-38335766
ABSTRACT

OBJECTIVE:

Investigate sleep and temporal lobe epilepsy (TLE) effects on brain networks derived from electroencephalography (EEG).

METHODS:

High-density EEG was recorded during non-rapid eye movement (NREM) sleep stage 2 (N2) and wakefulness in 23 patients and healthy controls (HC). Epochs without epileptic discharges were source-reconstructed in 72 brain regions and connectivity was estimated. We calculated network integration and segregation at global (global efficiency, GE; average clustering coefficient, avgCC) and hemispheric level. These were compared between groups across frequency bands and correlated with the individual proportion of wakefulness- or sleep-related seizures.

RESULTS:

At the global level, patients had higher delta GE, delta avgCC and theta avgCC than controls, irrespective of the vigilance state. During wakefulness, theta GE of patients was higher than controls and, for patients, theta GE during wakefulness was higher than during N2. Wake-to-sleep differences in TLE were notable only in the ipsilateral hemisphere. Only measures from wakefulness recordings correlated with the proportion of wakefulness- or sleep-related seizures.

CONCLUSIONS:

TLE network alterations are more prominent during wakefulness and at lower frequencies. Increased integration and segregation suggest a pathological 'small world' configuration with a possible inhibitory role.

SIGNIFICANCE:

Network alterations in TLE occur and are easier to detect during wakefulness.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epilepsia Reflexa / Epilepsia do Lobo Temporal Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epilepsia Reflexa / Epilepsia do Lobo Temporal Idioma: En Ano de publicação: 2024 Tipo de documento: Article