Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain.

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Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain.

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2018 nî lūn-bûn

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2018年学术文章

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2018年学术文章

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Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain.

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Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain.

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Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain.

@en

Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain.

@nl

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Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain.

@en

Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain.

@nl

P1476

Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain.

@en

P2093

Alessandro Principe

http://www.w3.org/2001/XMLSchema#string

Miguel Ley

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P2860

Non-stationarity in the "resting brain's" modular architecture.

Estimation of brain network ictogenicity predicts outcome from epilepsy surgery.

A power primer

Complex network measures of brain connectivity: uses and interpretations

Nonparametric statistical testing of EEG- and MEG-data

Crowdsourcing reproducible seizure forecasting in human and canine epilepsy

Dynamic functional connectivity: promise, issues, and interpretations

Large scale brain models of epilepsy: dynamics meets connectomics.

Preictal state identification by synchronization changes in long-term intracranial EEG recordings.

Eigenvector centrality mapping for analyzing connectivity patterns in fMRI data of the human brain.

P304

e2002580

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P31

scholarly article

P356

10.1371/JOURNAL.PBIO.2002580

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P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Gustavo Deco

Adrià Tauste Campo

R Rocamora

P577

2018-04-05T00:00:00Z

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P698

29621233

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P932

5886392

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