Towards the automated detection of interictal epileptiform discharges with magnetoencephalography

Fernández-Martín, Raquel; Feys, Odile; Juvené, Elodie; Aeby, Alec; Urbain, Charline; De Tiège, Xavier; Wens, Vincent

doi:10.1016/j.jneumeth.2023.110052

Journal of Neuroscience Methods

2024

DOI: 10.1016/j.jneumeth.2023.110052

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Towards the automated detection of interictal epileptiform discharges with magnetoencephalography

Raquel Fernández-Martín,

Odile Feys,

Elodie Juvené

et al.

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2024

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Cited by 2 publications

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Combination of magnetoencephalographic and clinical features to identify atypical self-limited epilepsy with centrotemporal spikes

Li,

Wang,

et al. 2024

Epilepsy & Behavior

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Combination of magnetoencephalographic and clinical features to identify atypical self-limited epilepsy with centrotemporal spikes

Li,

Wang,

et al. 2024

Epilepsy & Behavior

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Generalisability of epileptiform patterns across time and patients

Karimi-Rouzbahani,

McGonigal

2024

Sci Rep

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The complexity of localising the epileptogenic zone (EZ) contributes to surgical resection failures in achieving seizure freedom. The distinct patterns of epileptiform activity during interictal and ictal phases, varying across patients, often lead to suboptimal localisation using electroencephalography (EEG) features. We posed two key questions: whether neural signals reflecting epileptogenicity generalise from interictal to ictal time windows within each patient, and whether epileptiform patterns generalise across patients. Utilising an intracranial EEG dataset from 55 patients, we extracted a large battery of simple to complex features from stereo-EEG (SEEG) and electrocorticographic (ECoG) neural signals during interictal and ictal windows. Our features (n = 34) quantified many aspects of the signals including statistical moments, complexities, frequency-domain and cross-channel network attributes. Decision tree classifiers were then trained and tested on distinct time windows and patients to evaluate the generalisability of epileptogenic patterns across time and patients, respectively. Evidence strongly supported generalisability from interictal to ictal time windows across patients, particularly in signal power and high-frequency network-based features. Consistent patterns of epileptogenicity were observed across time windows within most patients, and signal features of epileptogenic regions generalised across patients, with higher generalisability in the ictal window. Signal complexity features were particularly contributory in cross-patient generalisation across patients. These findings offer insights into generalisable features of epileptic neural activity across time and patients, with implications for future automated approaches to supplement other EZ localisation methods.

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Towards the automated detection of interictal epileptiform discharges with magnetoencephalography

Cited by 2 publications

References 49 publications

Combination of magnetoencephalographic and clinical features to identify atypical self-limited epilepsy with centrotemporal spikes

Combination of magnetoencephalographic and clinical features to identify atypical self-limited epilepsy with centrotemporal spikes

Generalisability of epileptiform patterns across time and patients

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