Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects.
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Connectomics in psychiatric research: advances and applicationsConsiderations for resting state functional MRI and functional connectivity studies in rodentsThe chronnectome: time-varying connectivity networks as the next frontier in fMRI data discoveryGenetic variants in Alzheimer disease - molecular and brain network approachesCase for fMRI data repositoriesBrain Network Dynamics Adhere to a Power Law.Understanding principles of integration and segregation using whole-brain computational connectomics: implications for neuropsychiatric disorders.Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain information.Functional Magnetic Resonance Imaging Methods.Modern Methods for Interrogating the Human Connectome.Multimodal Classification of Schizophrenia Patients with MEG and fMRI Data Using Static and Dynamic Connectivity Measures.Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies.Instability of default mode network connectivity in major depression: a two-sample confirmation study.Brain structure, function, and neurochemistry in schizophrenia and bipolar disorder-a systematic review of the magnetic resonance neuroimaging literature.Disruption to control network function correlates with altered dynamic connectivity in the wider autism spectrumAge-Related Decline in the Variation of Dynamic Functional Connectivity: A Resting State AnalysisAltered Brain Network Connectivity as a Potential Endophenotype of SchizophreniaAuditory hallucinations: A review of the ERC "VOICE" project.Mutually temporally independent connectivity patterns: a new framework to study the dynamics of brain connectivity at rest with application to explain group difference based on gender.Alterations of Intrinsic Brain Connectivity Patterns in Depression and Bipolar Disorders: A Critical Assessment of Magnetoencephalography-Based Evidence.Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach.Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks.Approaches to Capture Variance Differences in Rest fMRI Networks in the Spatial Geometric Features: Application to Schizophrenia.Dynamic functional network connectivity reveals unique and overlapping profiles of insula subdivisions.Dynamic Resting-State Functional Connectivity in Major Depression.Multimodal based classification of schizophrenia patientsImplicit Timing as the Missing Link between Neurobiological and Self Disorders in Schizophrenia?Late life bipolar disorder evolving into frontotemporal dementia mimic.Building an EEG-fMRI Multi-Modal Brain Graph: A Concurrent EEG-fMRI Study.Connectomic markers of disease expression, genetic risk and resilience in bipolar disorderRisperidone Effects on Brain Dynamic Connectivity-A Prospective Resting-State fMRI Study in Schizophrenia.Specific default mode subnetworks support mentalizing as revealed through opposing network recruitment by social and semantic FMRI tasks.Intrinsic functional connectivity variance and state-specific under-connectivity in autism.Contextual connectivity: A framework for understanding the intrinsic dynamic architecture of large-scale functional brain networks.Altered dynamic functional connectivity in the default mode network in patients with cirrhosis and minimal hepatic encephalopathy.Comparing test-retest reliability of dynamic functional connectivity methods.Update on the Epidemiology, Diagnosis, and Treatment of Mania in Older-Age Bipolar Disorder.Identifying dynamic functional connectivity biomarkers using GIG-ICA: Application to schizophrenia, schizoaffective disorder, and psychotic bipolar disorder.Task-related modulation of functional connectivity variability and its behavioral correlations.Chronnectomic patterns and neural flexibility underlie executive function.
P2860
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P2860
Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects.
description
2014 nî lūn-bûn
@nan
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
2014年论文
@zh
2014年论文
@zh-cn
name
Dynamic connectivity states es ...... and healthy control subjects.
@en
Dynamic connectivity states es ...... and healthy control subjects.
@nl
type
label
Dynamic connectivity states es ...... and healthy control subjects.
@en
Dynamic connectivity states es ...... and healthy control subjects.
@nl
prefLabel
Dynamic connectivity states es ...... and healthy control subjects.
@en
Dynamic connectivity states es ...... and healthy control subjects.
@nl
P2860
P50
P921
P356
P1476
Dynamic connectivity states es ...... and healthy control subjects.
@en
P2093
Barnaly Rashid
P2860
P356
10.3389/FNHUM.2014.00897
P577
2014-11-07T00:00:00Z