ArticleJournal of psychiatric research2017
Intrinsic inter-network brain dysfunction correlates with symptom dimensions in late-life depression.
Article in Journal of psychiatric research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
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Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.
- Disruptive resting state networks characterizing depressive comorbidity in Alzheimer's disease and mild cognitive impairment.Journal of Alzheimer's disease : JAD · 2025Pooled it
- Evidence for Structural and Functional Alterations of Frontal-Executive and Corticolimbic Circuits in Late-Life Depression and Relationship to Mild Cognitive Impairment and Dementia: A Systematic Review.Frontiers in neuroscience · 2020Pooled it
- Functional connectivity correlates of reaction time variability in treatment-resistant major depression.Psychological medicine · 2026Article
- Impaired brain intrinsic connectivity in long COVID during cognitive exertion revealed by independent component analysis.Scientific reports · 2026Article
- Remission is insufficient: predictors and mechanistic models of recurrence in late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Cross-sectional and longitudinal functional network alterations associated with subthreshold depressive symptoms in healthy older adults.Frontiers in aging neuroscience · 2026Article
- Short-term intrinsic connectivity changes induced by cognitive exertion in healthy participants.Frontiers in neuroscience · 2026Article
- Single-dose psilocybin alters resting state functional networks in patients with body dysmorphic disorder.Psychedelics · 2025Article
- Connectomics-based resting-state functional network alterations predict suicidality in major depressive disorder.Translational psychiatry · 2023Article
- The heterogeneity of late-life depression and its pathobiology: a brain network dysfunction disorder.Journal of neural transmission (Vienna, Austria : 1996) · 2023Review
- Association of functional connectivity of the executive control network or default mode network with cognitive impairment in older adults with remitted major depressive disorder or mild cognitive impairment.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Article
- Automatic diagnosis of late-life depression by 3D convolutional neural networks and cross-sample Entropy analysis from resting-state fMRI.Brain imaging and behavior · 2023Article
- Challenges in Identifying Individualized Brain Biomarkers of Late Life Depression.Advances in geriatric medicine and research · 2023Article
- Role of Stress-Related Dopamine Transmission in Building and Maintaining a Protective Cognitive Reserve.Brain sciences · 2022Review
- A Comparative Study of Regional Homogeneity of Resting-State fMRI Between the Early-Onset and Late-Onset Recurrent Depression in Adults.Frontiers in psychology · 2022Article
- Default mode network dissociation linking cerebral beta amyloid retention and depression in cognitively normal older adults.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Article
- Be Fit, Be Sharp, Be Well: The Case for Exercise as a Treatment for Cognitive Impairment in Late-life Depression.Journal of the International Neuropsychological Society : JINS · 2021Review
- Crosstalk between Existential Phenomenological Psychotherapy and Neurological Sciences in Mood and Anxiety Disorders.Biomedicines · 2021Review
- Crosstalk between Depression and Dementia with Resting-State fMRI Studies and Its Relationship with Cognitive Functioning.Biomedicines · 2021Review
- Persistent Intrinsic Functional Network Connectivity Alterations in Middle-Aged and Older Women With Remitted Depression.Frontiers in psychiatry · 2020Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Prior studies have demonstrated dysfunctions within the core neurocognitive networks (the executive control [ECN], default mode [DMN] and salience [SN] networks) in late-life depression (LLD). Whether inter-network dysfunctional connectivity is present in LLD, and if such disruptions are associated with core symptom dimensions is unknown. A cross-sectional resting-state functional connectivity magnetic resonance imaging investigation was conducted of LLD (n = 39) and age- and gender-equated healthy comparison (HC) (n = 29) participants. Dual regression independent component analysis approach was used to identify components that represented the ECN, DMN and SN. The intrinsic inter-network connectivity was compared between LLD and HC participants and the relationship of inter-network connectivity abnormalities with dimensional measures was examined. Relative to HC participants, LLD subjects showed decreased inter-network connectivity between the bilateral ECN and default mode subcortical (thalamus, basal ganglia and ventral striatum) networks, and the left ECN and SN insula component; and increased inter-network connections between the left ECN and posterior DMN and salience (dorsal anterior cingulate) network components. Distinct inter-network connectivity abnormalities correlated with depression and anxiety severity, and executive dysfunction in LLD participants. LLD subjects also showed pronounced intra-network connectivity differences within the ECN, whereas fewer but significant DMN and SN disruptions were also detected. Investigating the intrinsic inter-network functional connectivity could provide a mechanistic framework to better understand the neural basis that underlies core symptom dimensions in LLD. Inter-network connectivity measures have the potential to be neuroimaging biomarkers of symptom dimensions comprising LLD, and may assist in developing symptom-specific treatment algorithms.
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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.