ArticleFrontiers in human neuroscience2021
Dynamic Functional Connectivity Predicts Treatment Response to Electroconvulsive Therapy in Major Depressive Disorder.
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Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20citing papers in PubMed
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What it found
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Who cites it
20 citing papers in PubMed.
- Dynamic Resting-State Network Markers of Disruptive Behavior Problems in Youth.Biological psychiatry global open science · 2026Article
- Changes in Neural Activities and Neuroplasticity Related to Nonpharmacological Interventions for Major Depressive Disorder: A Systematic Literature Review.Biological psychiatry global open science · 2025Review
- Dynamic Brain Age Modeling Identifies Network-Specific Cognitive Deficits in Schizophrenia.Research square · 2025Article
- Comprehensive mapping of cognitive and emotion networks in stress, anxiety, and depression implicates the precuneus as a critical hub.Research square · 2025Article
- Functional Brain Age Acceleration from Dynamic and Static Connectivity Predicts Working Memory and Attention Deficits in Schizophrenia.medRxiv : the preprint server for health sciences · 2025Article
- Depression links to unstable resting-state brain dynamics: insights from hidden markov models and functional network variability.Psychological medicine · 2025Article
- Brain dynamics reflecting an intra-network brain state is associated with increased posttraumatic stress symptoms in the early aftermath of trauma.Nature. Mental health · 2025Article
- Modulation of functional network co-activation pattern dynamics following ketamine treatment in major depression.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Dynamic functional connectivity patterns predict early antidepressant treatment response in drug-naïve, first-episode adolescent MDD.Frontiers in neuroscience · 2025Article
- The overlap across psychotic disorders: A functional network connectivity analysis.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2024Article
- Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities.NeuroImage · 2024Article
- Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophrenia.Frontiers in psychiatry · 2024Article
- Improved clinical outcome prediction in depression using neurodynamics in an emotional face-matching functional MRI task.Frontiers in psychiatry · 2024Article
- Pairing explainable deep learning classification with clustering to uncover effects of schizophrenia upon whole brain functional network connectivity dynamics.Neuroimage. Reports · 2023Article
- Article
- Explainable Fuzzy Clustering Framework Reveals Divergent Default Mode Network Connectivity Dynamics in Schizophrenia.bioRxiv : the preprint server for biology · 2023Article
- Segregation, integration and balance in resting-state brain functional networks associated with bipolar disorder symptoms.Human brain mapping · 2023Article
- Manifold Learning for fMRI time-varying FC.bioRxiv : the preprint server for biology · 2023Article
- Manifold learning for fMRI time-varying functional connectivity.Frontiers in human neuroscience · 2023Article
- Predictive signature of static and dynamic functional connectivity for ECT clinical outcomes.Frontiers in pharmacology · 2023Article
Corrections and comments
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Authors and funding
13 authors.
Hossein DiniDepartment of Architecture, Design and Media Technology, Aalborg University, Copenhagen, Denmark.
Mohammad S E SendiWallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Jing SuiTri-Institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States.
Zening FuTri-Institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States.
Randall EspinozaDepartments of Neurology, Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States.
Katherine L NarrDepartments of Neurology, Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States.
Shile QiTri-Institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States.
Christopher C AbbottDepartment of Psychiatry, University of New Mexico, Albuquerque, NM, United States.
Sanne J H van RooijDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States.
Patricio Riva-PosseDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States.
Luis Emilio BruniDepartment of Architecture, Design and Media Technology, Aalborg University, Copenhagen, Denmark.
Helen S MaybergDepartments of Neurology, Neurosurgery, Psychiatry and Neuroscience, Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Vince D CalhounWallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Funding
Mining the Genomewide Scan: Genetic Profiles of Structural Loss in Schizophrenia: AD/ADRD supplementR01MH094524 · NIMH · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D, TURNER, JESS · 2012 to 2021
$6.3MDEVELOPMENTAL MULTIMODAL IMAGING OF NEUROCOGNITIVE DYNAMICS (DEV-MIND)R01MH121101 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WILSON, TONY W · 2019 to 2023
$5.8MMale/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood dR01MH118695 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2019 to 2023
$3.8MNeural Architecture of Social Emotional Processing and Regulation in Autism Spectrum Disorder: A Dynamic Connectivity PerspectiveR01MH119069 · NIMH · HARTFORD HOSPITAL · PI ASSAF, MICHAL · 2019 to 2023
$3.6MFlexible multivariate models for linking multi-scale connectome and genome data in Alzheimer's disease and related disordersRF1AG063153 · NIA · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D, LIU, JINGYU · 2019 to 2020
$3.5MUnified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7MData-driven approaches to identify biomarkers from multimodal imaging big dataR01MH117107 · NIMH · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D · 2019 to 2022
$1.6MECT current amplitude and medial temporal lobe engagementU01MH111826 · NIMH · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ABBOTT, CHRISTOPHER C · 2017 to 2019
$1.5MElectroconvulsive therapy amplitude titration for improved clinical outcomes in late-life depressionR61MH125126 · NIMH · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ABBOTT, CHRISTOPHER C · 2021 to 2022
$1.4MEffect of TMS on PTSD Neuroimaging and Psychophysiological BiomarkersK01MH121653 · NIMH · EMORY UNIVERSITY · PI VAN ROOIJ, SANNE JH · 2020 to 2024
$894kNIA NIH HHS RF1 AG063153NIBIB NIH HHS R01 EB020407NIMH NIH HHS K01 MH121653NIMH NIH HHS R01 MH094524NIMH NIH HHS R01 MH117107NIMH NIH HHS R01 MH118695NIMH NIH HHS R01 MH119069NIMH NIH HHS R01 MH121101NIMH NIH HHS R61 MH125126NIMH NIH HHS U01 MH111826
Abstract
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Indexed as
cognitive control networkdefault mode networkdynamic functional network connectivityelectroconvulsive therapymajor depressive disorderpredictionresting-state functional MRI
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.