Detection of abnormal resting-state networks in individual patients suffering from focal epilepsy: an initial step toward individual connectivity assessment.
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Use of Network Analysis to Establish Neurosurgical Parameters in Gliomas and Epilepsy.Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry.Connectomics and graph theory analyses: Novel insights into network abnormalities in epilepsy.Neuronal network models of epileptogenesis.Validation of Shared and Specific Independent Component Analysis (SSICA) for Between-Group Comparisons in fMRI.Epileptic networks are strongly connected with and without the effects of interictal discharges.
P2860
Detection of abnormal resting-state networks in individual patients suffering from focal epilepsy: an initial step toward individual connectivity assessment.
description
2014 nî lūn-bûn
@nan
2014 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Detection of abnormal resting- ...... idual connectivity assessment.
@ast
Detection of abnormal resting- ...... idual connectivity assessment.
@en
type
label
Detection of abnormal resting- ...... idual connectivity assessment.
@ast
Detection of abnormal resting- ...... idual connectivity assessment.
@en
prefLabel
Detection of abnormal resting- ...... idual connectivity assessment.
@ast
Detection of abnormal resting- ...... idual connectivity assessment.
@en
P2093
P2860
P50
P356
P1476
Detection of abnormal resting- ...... idual connectivity assessment.
@en
P2093
Christian L Dansereau
Christophe Grova
Jean Gotman
P2860
P356
10.3389/FNINS.2014.00419
P577
2014-12-23T00:00:00Z