Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model

Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model

Background: Intracranial electroencephalography (iEEG) recordings are used for clinical evaluation prior to surgical resection of the focus of epileptic seizures and also provide a window into normal brain function. A major difficulty with interpreting iEEG results at the group level is inconsistent...

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Bibliographic Details
Main Authors: Siqi Zhang, Chunyan Cao, Andrew Quinn, Umesh Vivekananda, Shikun Zhan, Wei Liu, Bomin Sun, Mark Woolrich, Qing Lu, Vladimir Litvak
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:NeuroImage
Subjects:
Human
Dynamics
Resting state
Oscillations
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921002007

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http://www.sciencedirect.com/science/article/pii/S1053811921002007

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