Decoding Intracranial EEG With Machine Learning: A Systematic Review

Decoding Intracranial EEG With Machine Learning: A Systematic Review

Advances in intracranial electroencephalography (iEEG) and neurophysiology have enabled the study of previously inaccessible brain regions with high fidelity temporal and spatial resolution. Studies of iEEG have revealed a rich neural code subserving healthy brain function and which fails in disease...

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Bibliographic Details
Main Authors: Nykan Mirchi, Nebras M. Warsi, Frederick Zhang, Simeon M. Wong, Hrishikesh Suresh, Karim Mithani, Lauren Erdman, George M. Ibrahim
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Human Neuroscience
Subjects:
intracranial EEG (iEEG)
seizure
epilepsy
neurorecording
machine learning
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2022.913777/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2022.913777/full

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