Analyzing complex functional brain networks: Fusing statistics and network science to understand the brain(*†)
about
A two-part mixed-effects modeling framework for analyzing whole-brain network data.Connectomics and neuroticism: an altered functional network organizationA multimodal approach for determining brain networks by jointly modeling functional and structural connectivityConnectivity patterns during music listening: Evidence for action-based processing in musicians.A Bayesian hierarchical framework for modeling brain connectivity for neuroimaging dataGibbs distribution for statistical analysis of graphical data with a sample application to fcMRI brain images.Statistical network analysis for functional MRI: summary networks and group comparisonsBrain Imaging AnalysisIdentifying functional co-activation patterns in neuroimaging studies via poisson graphical models.Local difference measures between complex networks for dynamical system model evaluation.The (in)stability of functional brain network measures across thresholdsIdentifying causal gateways and mediators in complex spatio-temporal systems.Multimodal Imaging Signatures of Parkinson's Disease.The brain science interface.A permutation testing framework to compare groups of brain networks.Graph Theory-Based Brain Connectivity for Automatic Classification of Multiple Sclerosis Clinical CoursesDisentangling Brain Graphs: A Note on the Conflation of Network and Connectivity Analyses.Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Remitted Patients with Recurrent Major Depressive Disorder.Bayesian network-response regression.Correspondence between evoked and intrinsic functional brain network configurations.Associations between genetic risk, functional brain network organization and neuroticism.A novel pattern mining approach for identifying cognitive activity in EEG based functional brain networks.Mixed Effects Models for Resampled Network Statistics Improves Statistical Power to Find Differences in Multi-Subject Functional Connectivity.A parsimonious statistical method to detect groupwise differentially expressed functional connectivity networks.Graph-Theoretical Study of Functional Changes Associated with the Iowa Gambling TaskLCN: a random graph mixture model for community detection in functional brain networks.Predicting brain network changes in Alzheimer's disease with link prediction algorithms.Sparse graphs using exchangeable random measures.Shortest path based network analysis to characterize cognitive load states of human brain using EEG based functional brain networks.Neuronal Correlation Parameter and the Idea of Thermodynamic Entropy of an N-Body Gravitationally Bounded System.Brain Network Connectivity and Topological Analysis During Voluntary Arm Movements.Large-scale DCMs for resting-state fMRI.Quantifying information transfer and mediation along causal pathways in complex systems.
P2860
Q27306967-B5E9ED56-5DEC-4353-B192-D8570FC5FEFCQ27311291-5BEB2E79-0539-49FF-A559-C895154DD2ADQ28310569-6D0B0492-01A8-4A8D-A606-404408D76DC6Q30400417-FB20347B-5D0F-4507-B29E-9C1328735870Q31011197-A91B10BA-77AC-4E8C-9C2A-4483DAAD4037Q31028238-DE7D53BA-85B8-4B29-8ECB-0F14E8AF55A6Q33600429-FF86FBD9-CB50-4397-8240-197EE189CE6FQ34304242-595FC447-13F0-4C42-AE92-27AF4DE4B6D0Q34771629-8193E2BF-6C3F-489D-8C18-DB9909FE2656Q35346007-9F5B8497-0E57-41E2-ABE8-B8D4BC763DE5Q36011476-BF116F0D-9B89-4AC5-9F79-A59FC139B117Q36250049-8AAC94C6-E705-4A93-94B3-36BB3F5B76D4Q36805798-8BD7D47B-0FFB-459B-A09F-719D153CADF3Q37101603-A1F25D11-F297-42CA-8965-3FB48817DE9CQ37338993-A53FF252-6011-4EF3-A6C8-72E4F3BFA3F5Q37363145-48CF4FA3-7501-4214-826C-CFED2E544752Q38803577-C6800852-6AFE-4048-A708-9BAB0B771441Q38865165-09C75A81-E28B-4CE9-8ECE-F542F9E957B6Q38977159-C07B037A-B185-4A16-A13E-726FDCDD822DQ39040895-2484F48C-07AD-4F2C-901E-89C5437D6A32Q39289124-9EC146FE-7943-4F6C-8327-0F9958282834Q39612377-E0A4A067-1541-445E-A211-AF42D16BE8D2Q40061143-A1BF15B9-C6A5-42D8-AA11-7FA8CB3B929BQ40777850-163FAF00-338C-4AA5-9916-DD816EBEDFFDQ42081497-37C11F0F-A063-4E1D-9579-8F800AC46BC1Q42376715-6559BCA6-2094-49BC-A848-266468AD889AQ45974410-DA5B4C7D-0B97-4F31-998B-ED842DC98181Q47130290-08425F3F-486D-4E70-8FE8-9303C40C6034Q47610532-980449DA-184D-4C6C-97E1-9440E303EAF1Q47663630-B27BAB93-9B34-4376-956D-D751B90E5BB7Q48445056-A965E230-372B-469F-93A2-B5289F00481AQ49246234-F6DE617D-913B-4B12-8E42-4D07D6D5BFDAQ50735330-854DABDF-3962-4607-B661-22ACDD379530
P2860
Analyzing complex functional brain networks: Fusing statistics and network science to understand the brain(*†)
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Analyzing complex functional b ...... cience to understand the brain
@nl
Analyzing complex functional b ...... ce to understand the brain(*†)
@ast
Analyzing complex functional b ...... ce to understand the brain(*†)
@en
type
label
Analyzing complex functional b ...... cience to understand the brain
@nl
Analyzing complex functional b ...... ce to understand the brain(*†)
@ast
Analyzing complex functional b ...... ce to understand the brain(*†)
@en
prefLabel
Analyzing complex functional b ...... cience to understand the brain
@nl
Analyzing complex functional b ...... ce to understand the brain(*†)
@ast
Analyzing complex functional b ...... ce to understand the brain(*†)
@en
P2093
P2860
P356
P1433
P1476
Analyzing complex functional b ...... ce to understand the brain(*†)
@en
P2093
F DuBois Bowman
Paul J Laurienti
Sean L Simpson
P2860
P356
10.1214/13-SS103
P577
2013-01-01T00:00:00Z