Hierarchical clustering to measure connectivity in fMRI resting-state data.
about
Functional topography of the thalamocortical system in humanLinking inter-individual differences in neural activation and behavior to intrinsic brain dynamicsThe Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRINetworks of task co-activationsA Hitchhiker's Guide to Functional Magnetic Resonance ImagingA Supervoxel-Based Method for Groupwise Whole Brain Parcellation with Resting-State fMRI DataIndependent component analysis of functional MRI: what is signal and what is noise?The connectivity domain: Analyzing resting state fMRI data using feature-based data-driven and model-based methods.Thalamus and posterior temporal lobe show greater inter-network connectivity at rest and across sensory paradigms in schizophrenia.Spatial and temporal characteristics of error-related activity in the human brain.EXPLORING FUNCTIONAL CONNECTIVITY IN FMRI VIA CLUSTERING.Modulations of functional connectivity in the healthy and schizophrenia groups during task and rest.Detection of irregular, transient fMRI activity in normal controls using 2dTCA: comparison to event-related analysis using known timing.Interhemispheric correlations of slow spontaneous neuronal fluctuations revealed in human sensory cortexPersistent schema-dependent hippocampal-neocortical connectivity during memory encoding and postencoding rest in humans.Spatiotemporal dynamics of low frequency BOLD fluctuations in rats and humans.Resting-state fMRI: a review of methods and clinical applicationsNovel imaging strategies for assessment of cerebrovascular involvement.Analysis of whole-brain resting-state FMRI data using hierarchical clustering approach.Resting state functional magnetic resonance imaging in Parkinson's disease.Language in the brain at rest: new insights from resting state data and graph theoretical analysis.Spatial Patterns and Functional Profiles for Discovering Structure in fMRI DataFunctional Magnetic Resonance Imaging Methods.A Bayesian hierarchical framework for spatial modeling of fMRI dataStatistical approaches to functional neuroimaging dataData-driven clustering reveals a fundamental subdivision of the human cortex into two global systemsBrain imaging and networks in restless legs syndrome.Normalized cut group clustering of resting-state FMRI dataContribution of exploratory methods to the investigation of extended large-scale brain networks in functional MRI: methodologies, results, and challengesIntrinsic brain activity in altered states of consciousness: how conscious is the default mode of brain function?Review of methods for functional brain connectivity detection using fMRI.Using functional magnetic resonance imaging in psychotherapy research: a brief introduction to concepts, methods, and task selection.The restless brain: attention-deficit hyperactivity disorder, resting-state functional connectivity, and intrasubject variability.Applications of multivariate pattern classification analyses in developmental neuroimaging of healthy and clinical populationsFunctional MRI and multivariate autoregressive models.Graph-based network analysis of resting-state functional MRI.A weighted cluster kernel PCA prediction model for multi-subject brain imaging dataFine-granularity functional interaction signatures for characterization of brain conditionsTime-frequency dynamics of resting-state brain connectivity measured with fMRIEvaluation of data-driven network analysis approaches for functional connectivity MRI.
P2860
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P2860
Hierarchical clustering to measure connectivity in fMRI resting-state data.
description
2002 nî lūn-bûn
@nan
2002 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Hierarchical clustering to measure connectivity in fMRI resting-state data.
@ast
Hierarchical clustering to measure connectivity in fMRI resting-state data.
@en
type
label
Hierarchical clustering to measure connectivity in fMRI resting-state data.
@ast
Hierarchical clustering to measure connectivity in fMRI resting-state data.
@en
prefLabel
Hierarchical clustering to measure connectivity in fMRI resting-state data.
@ast
Hierarchical clustering to measure connectivity in fMRI resting-state data.
@en
P2093
P1476
Hierarchical clustering to measure connectivity in fMRI resting-state data
@en
P2093
John D Carew
Ken Maravilla
Vic Haughton
P304
P356
10.1016/S0730-725X(02)00503-9
P577
2002-05-01T00:00:00Z