Article

Towards a Universal Map of EEG: A semantic, low-dimensional manifold for EEG Classification, Clustering and Prognostication

2024-10-27

Abstract excerpt

Despite its complexity, whole-brain neural activity spontaneously organizes into a limited range of states, indicating that a low-dimensional representation or embedding might be sufficient to capture much of its macroscale dynamics. Clinical practice makes use of this notion by classifying EEG into discrete states, for example in the wake-sleep cycle or along the ictal-interictal continuum. Such classification in...

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Literature Corpus work: de9ef6c1-79bc-5889-b70b-0cc555f3c15a
DOI: 10.1101/2024.10.25.24316133

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