Tri-Clustering Dynamic Functional Network Connectivity Identifies Significant Schizophrenia Effects Across Multiple States in Distinct Subgroups of Individuals

NeuroMark: an automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

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Abnormal dynamic functional network connectivity in unmedicated bipolar and major depressive disorders based on the triple-network model

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Brain Heterogeneity in Schizophrenia and Its Association With Polygenic Risk

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N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia

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Resting-state thalamic dysconnectivity in schizophrenia and relationships with symptoms

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Dynamic functional network connectivity discriminates mild traumatic brain injury through machine learning

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Altered Dynamic Functional Network Connectivity in Frontal Lobe Epilepsy

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A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study

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Identifying dynamic functional connectivity biomarkers using GIG-ICA: Application to schizophrenia, schizoaffective disorder, and psychotic bipolar disorder

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Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia

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Replicability of time-varying connectivity patterns in large resting state fMRI samples

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High transition frequencies of dynamic functional connectivity states in the creative brain

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Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states

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Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?

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The Function Biomedical Informatics Research Network Data Repository

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Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity

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Multimodal Classification of Schizophrenia Patients with MEG and fMRI Data Using Static and Dynamic Connectivity Measures

(2016) Mustafa S. Cetin et al.   Frontiers in Neuroscience

Higher Dimensional Meta-State Analysis Reveals Reduced Resting fMRI Connectivity Dynamism in Schizophrenia Patients

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Auditory dysfunction in schizophrenia: integrating clinical and basic features

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On spurious and real fluctuations of dynamic functional connectivity during rest

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Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects

(2014) Barnaly Rashid et al.   Frontiers in Human Neuroscience

Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis

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Dynamic functional connectivity of the default mode network tracks daydreaming

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Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia

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A multi-site resting state fMRI study on the amplitude of low frequency fluctuations in schizophrenia

(2013) Jessica A Turner   Frontiers in Neuroscience

Tracking Whole-Brain Connectivity Dynamics in the Resting State

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Comparison of multi-subject ICA methods for analysis of fMRI data

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Network modelling methods for FMRI

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The Resting Brain: Unconstrained yet Reliable

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Interrater and intermethod reliability of default mode network selection

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Poster Key

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The oscillating brain: Complex and reliable

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Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks

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