ReviewFrontiers in aging neuroscience2018
Aberrant Default Mode Network Underlying the Cognitive Deficits in the Patients With Late-Onset Depression.
Review in Frontiers in aging neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Abnormal functional network connectivity mediates the relationship between depressive symptoms and cognitive decline in late-onset depression.Psychological medicine · 2025Article
- Default mode network static-dynamic functional signatures in first-episode drug-naive major depressive disorder.Comprehensive psychoneuroendocrinology · 2025Article
- Association between sleep and meteorology in late-onset depression patients.BMC psychiatry · 2025Article
- Increasing variance of rich-club nodes distribution in early onset depression according to dynamic network.Brain imaging and behavior · 2024Article
- Transcriptome Profiling of the Dorsomedial Prefrontal Cortex in Suicide Victims.International journal of molecular sciences · 2022Article
- Differences in Odor Identification in Early-Onset and Late-Onset Depression.Brain sciences · 2022Article
- Susceptibility to chronic immobilization stress-induced depressive-like behaviour in middle-aged female mice and accompanying changes in dopamine D1 and GABABehavioral and brain functions : BBF · 2021Article
- Predicting conversion to Alzheimer's disease among individual high-risk patients using the Characterizing AD Risk Events index model.CNS neuroscience & therapeutics · 2020Article
- Aspirin and Risk of Dementia in Patients with Late-Onset Depression: A Population-Based Cohort Study.BioMed research international · 2020Article
- ABCA7 polymorphisms correlate with memory impairment and default mode network in patients with APOEε4-associated Alzheimer's disease.Alzheimer's research & therapy · 2019Article
- Diagnosing and Treating Depression in Patients with Alzheimer's Disease.Neurology and therapy · 2019Review
- The Neural Mechanisms of Associative Memory Revisited: fMRI Evidence from Implicit Contingency Learning.Frontiers in psychiatry · 2019Article
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Authors and funding
3 authors.
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Abstract
Late-onset depression (LOD) is regarded as a risk factor or a prodrome of Alzheimer's disease (AD). Moreover, LOD patients with cognitive deficits have the higher risk of subsequent AD. Thus, it is necessary to understand the neural underpinnings of cognitive deficits and its pathological implications in LOD. Consistent findings show that the default mode network (DMN) is an important and potentially useful brain network for the cognitive deficits in LOD patients. In recent years, genetics has been actively researched as a possible risk factor in the pathogenesis of LOD. So, in this review, we discuss the current research progress on the cognitive deficits and DMN in LOD through a combined view of brain network and genetics. We find that different structural and functional impairments of the DMN might be involved in the etiological mechanisms of different cognitive impairments in LOD patients.
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