2024
DOI: 10.1016/j.brs.2024.01.004
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Assessing cortical excitability with electroencephalography: A pilot study with EEG-iTBS

Giovanni Pellegrino,
Anna-Lisa Schuler,
Zhengchen Cai
et al.
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Cited by 8 publications
(2 citation statements)
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“…Despite its biological and clinical relevance, E/I balance is rarely directly investigated in epilepsy, most likely because its estimation is difficult and time-consuming. Fortunately, recent developments offer a streamlined assessment of E/I balance, leveraging properties of spontaneous electromagnetic signals which can be easily measured with magneto- or electroencephalography at high spatial and temporal resolution, providing extensive brain coverage with potential translations in a clinical setting 1114,15 (p2) . Amongst multiple signal features, the exponent of the aperiodic component of the M/EEG signal power spectrum provides information related to system E/I balance 1618 .…”
Section: Introductionmentioning
confidence: 99%
“…Despite its biological and clinical relevance, E/I balance is rarely directly investigated in epilepsy, most likely because its estimation is difficult and time-consuming. Fortunately, recent developments offer a streamlined assessment of E/I balance, leveraging properties of spontaneous electromagnetic signals which can be easily measured with magneto- or electroencephalography at high spatial and temporal resolution, providing extensive brain coverage with potential translations in a clinical setting 1114,15 (p2) . Amongst multiple signal features, the exponent of the aperiodic component of the M/EEG signal power spectrum provides information related to system E/I balance 1618 .…”
Section: Introductionmentioning
confidence: 99%
“…Fortunately, recent developments offer a streamlined assessment of E/I balance, leveraging properties of spontaneous electromagnetic signals which can be easily measured with magneto- or electroencephalography (EEG) at high spatial and temporal resolutions, providing extensive brain coverage with potential translations in a clinical setting. 11-14 , 15 Amongst multiple signal features, the exponent of the aperiodic component of the M/EEG signal power spectrum provides information related to system E/I balance. 16-18 …”
Section: Introductionmentioning
confidence: 99%