What graph theory actually tells us about resting state interictal MEG epileptic activity
about
Praxis-induced seizures in a patient with juvenile myoclonic epilepsy: MEG-EEG coregistration study.Modeling of Large-Scale Functional Brain Networks Based on Structural Connectivity from DTI: Comparison with EEG Derived Phase Coupling Networks and Evaluation of Alternative Methods along the Modeling Path.Magnetoencephalography Reveals a Widespread Increase in Network Connectivity in Idiopathic/Genetic Generalized EpilepsyThe network sustaining action myoclonus: a MEG-EMG study in patients with EPM1.Cannabinoid antagonist SLV326 induces convulsive seizures and changes in the interictal EEG in rats.Automated Detection of Epileptic Biomarkers in Resting-State Interictal MEG Data.
P2860
What graph theory actually tells us about resting state interictal MEG epileptic activity
description
2015 nî lūn-bûn
@nan
2015年の論文
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2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
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2015年论文
@zh-cn
name
What graph theory actually tells us about resting state interictal MEG epileptic activity
@ast
What graph theory actually tells us about resting state interictal MEG epileptic activity
@en
type
label
What graph theory actually tells us about resting state interictal MEG epileptic activity
@ast
What graph theory actually tells us about resting state interictal MEG epileptic activity
@en
prefLabel
What graph theory actually tells us about resting state interictal MEG epileptic activity
@ast
What graph theory actually tells us about resting state interictal MEG epileptic activity
@en
P2093
P2860
P1433
P1476
What graph theory actually tells us about resting state interictal MEG epileptic activity
@en
P2093
Ernesto Pereda
Francisco Del-Pozo
Guiomar Niso
María Gudín
Sira Carrasco
P2860
P304
P356
10.1016/J.NICL.2015.05.008
P577
2015-05-23T00:00:00Z