ArticleBrain communications2022
Hyperconnectivity and altered interactions of a nucleus accumbens network in post-stroke depression.
Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accuracy of Machine Learning in Predicting Post-Stroke Depression: A Systematic Review and Meta-Analysis.Brain and behavior · 2025Pooled it
- Machine learning combined with resting-state functional MRI to characterize functional brain differences in post-stroke depression.Frontiers in psychiatry · 2026Article
- Diagnosis and etiology of poststroke depression: A review.World journal of psychiatry · 2025Review
- Post stroke depression: pathogenesis and molecular mechanisms of natural product-based interventions.Frontiers in pharmacology · 2025Review
- Abnormal intrinsic functional hubs and connectivity in patients with post-stroke depression.Annals of clinical and translational neurology · 2024Article
- Network analysis of neuropsychiatric, cognitive, and functional complications of stroke: implications for novel treatment targets.Psychiatry and clinical neurosciences · 2024Article
- Neural Injury of the Dopaminergic Pathways in Patients with Middle Cerebral Artery Territory Infarct: A Diffusion Tensor Imaging Study.Brain sciences · 2023Article
- Effects and central mechanism of electroacupuncture and MRI-navigated rTMS for PSD: study protocol for an fMRI-based single-center, randomized, controlled, open-label trial.Frontiers in psychiatry · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Post-stroke depression is a common complication of stroke. To date, no consistent locus of injury is associated with this complication. Here, we probed network dynamics and structural alterations in post-stroke depression in four functional circuits linked to major depressive disorder and a visual network, which served as a control network. Forty-four participants with recent stroke (mean age = 69.03, standard deviation age = 8.59, age range = 51-86 and gender: female = 10) and 16 healthy volunteers (mean age = 71.53, standard deviation age = 10.62, age range = 51-84 and gender: female = 11) were imaged with 3-Tesla structural, diffusion and resting-state functional MRI. The Geriatric Depression Scale was administered to measure depression severity. Associations between depression severity and functional connectivity were investigated within networks seeded from nucleus accumbens, amygdala, dorsolateral prefrontal cortex and primary visual cortex. In addition, the default mode network was identified by connectivity with medial prefrontal cortex and posterior cingulate cortex. Circuits that exhibited altered activity associated with depression severity were further investigated by extracting within-network volumetric and microstructural measures from structural images. In the stroke group, functional connectivity within the nucleus accumbens-seeded network (left hemisphere:
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