Stochastic geometric network models for groups of functional and structural connectomes.
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A two-part mixed-effects modeling framework for analyzing whole-brain network data.Directed network motifs in Alzheimer's disease and mild cognitive impairmentComparison of Local Information Indices Applied in Resting State Functional Brain Network Connectivity Prediction.The impacts of pesticide and nicotine exposures on functional brain networks in Latino immigrant workers.
P2860
Stochastic geometric network models for groups of functional and structural connectomes.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հուլիսին 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
Stochastic geometric network models for groups of functional and structural connectomes.
@ast
Stochastic geometric network models for groups of functional and structural connectomes.
@en
Stochastic geometric network models for groups of functional and structural connectomes.
@nl
type
label
Stochastic geometric network models for groups of functional and structural connectomes.
@ast
Stochastic geometric network models for groups of functional and structural connectomes.
@en
Stochastic geometric network models for groups of functional and structural connectomes.
@nl
prefLabel
Stochastic geometric network models for groups of functional and structural connectomes.
@ast
Stochastic geometric network models for groups of functional and structural connectomes.
@en
Stochastic geometric network models for groups of functional and structural connectomes.
@nl
P2093
P2860
P1433
P1476
Stochastic geometric network models for groups of functional and structural connectomes
@en
P2093
Adam S Landsberg
Eric J Friedman
Julia P Owen
P2860
P304
P356
10.1016/J.NEUROIMAGE.2014.07.039
P407
P577
2014-07-25T00:00:00Z