ArticleBrain connectivity2021
Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder.
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Article in Brain connectivity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25citing papers in PubMed
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Who cites it
25 citing papers in PubMed.
- Beyond depression symptoms: the default mode network as a predictor of antidepressant response.Npj mental health research · 2026Article
- 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
- Reduced mind-wandering and fewer depressive symptoms associated with damage to the medial prefrontal cortex and default mode network.Neuropsychologia · 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
- Altered static and dynamic functional network connectivity in individuals with subthreshold depression: a large-scale resting-state fMRI study.European archives of psychiatry and clinical neuroscience · 2025Article
- Advancing the diagnosis of major depressive disorder: Integrating neuroimaging and machine learning.World journal of psychiatry · 2025Article
- Over-integration of visual network in major depressive disorder and its association with gene expression profiles.Translational psychiatry · 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
- Time-resolved instantaneous functional loci estimation (TRIFLE): Estimating time-varying allocation of spatially overlapping sources in functional magnetic resonance imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas.Tomography (Ann Arbor, Mich.) · 2024Article
- 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
- Aberrant dynamic functional connectivity of thalamocortical circuitry in major depressive disorder.Journal of Zhejiang University. Science. B · 2024Article
- Improved clinical outcome prediction in depression using neurodynamics in an emotional face-matching functional MRI task.Frontiers in psychiatry · 2024Article
- Trait- and state-like co-activation pattern dynamics in current and remitted major depressive disorder.Journal of affective disorders · 2023Article
- Altered brain dynamic in major depressive disorder: state and trait features.Translational psychiatry · 2023Article
- Article
- Two-step clustering-based pipeline for big dynamic functional network connectivity data.Frontiers in neuroscience · 2022Article
- Decreased modular segregation of the frontal-parietal network in major depressive disorder.Frontiers in psychiatry · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Mohammad S E SendiWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.ORCID 0000-0003-2946-1786
Elaheh ZendehrouhDepartment of Computer Science, Georgia State University, Atlanta, Georgia, USA.
Jing SuiTri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA.
Zening FuTri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA.
Dongmei ZhiTri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA.
Luxian LvDepartment of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Xiaohong MaPsychiatric Laboratory and Mental Health Center, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China.
Qing KeDepartment of Neurology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xianbin LiBeijing Key Lab of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Chuanyue WangBeijing Key Lab of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Christopher C AbbottDepartment of Psychiatry, University of New Mexico, Albuquerque, New Mexico, USA.
Jessica A TurnerTri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA.
Robyn L MillerTri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA.
Vince D CalhounWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.
Funding
Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8MENIGMA-COINSTAC-APOE2 Functional and structural connectome protective mechanisms for Alzheimer’s disease and mood disorders: Request for supplemental funds for NIH R01:1R01MH121246R01MH121246 · NIMH · OHIO STATE UNIVERSITY · PI CALHOUN, VINCE D, TURNER, JESS · 2019 to 2023
$5.0MMale/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
$3.8MUnified 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
$1.5MNIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIMH NIH HHS R01 MH117107NIMH NIH HHS R01 MH118695NIMH NIH HHS R01 MH121246NIMH NIH HHS U01 MH111826
Abstract
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Indexed as
Major Depressive DisorderBrainBrain MappingDefault Mode NetworkHumansMagnetic Resonance Imagingdefault mode networkdynamic functional network connectivitymachine learningmajor depressive disorderresting-state functional magnetic resonance imaging
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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 OpenQuestion graph.