ReviewWorld journal of radiology2020
Vascular depression for radiology: A review of the construct, methodology, and diagnosis.
Review in World journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Association of White Matter Integrity With Executive Function and Antidepressant Treatment Outcome in Patients With Late-Life Depression.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2021Trial
- Depression and anxiety in vascular dementia: an update.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- Complex Neurobiological Mechanisms and Risk Factors Underlying Late-Life Depression.Advances in experimental medicine and biology · 2026Review
- Microglial Activation in Cerebrovascular Accidents and the Manifestation of Major Depressive Disorder: A Comprehensive Review.Brain sciences · 2025Review
- Identification and validation of an explainable machine learning model for vascular depression diagnosis in the older adults: a multicenter cohort study.BMC medicine · 2025Article
- Carotid Revascularization Is Associated With Improved Mood in Patients With Advanced Carotid Disease.Annals of surgery · 2025Article
- Eye movement characteristics of emotional face recognizing task in patients with mild to moderate depression.Frontiers in neuroscience · 2024Article
- The heterogeneity of late-life depression and its pathobiology: a brain network dysfunction disorder.Journal of neural transmission (Vienna, Austria : 1996) · 2023Review
- The enigma of vascular depression in old age: a critical update.Journal of neural transmission (Vienna, Austria : 1996) · 2022Review
- Article
- The implication of a diversity of non-neuronal cells in disorders affecting brain networks.Frontiers in cellular neuroscience · 2022Review
- Pathomechanisms of Vascular Depression in Older Adults.International journal of molecular sciences · 2021Review
- Cortical Thickness and Hippocampal Volume in Vascular and Non-vascular Depressed Patients.Frontiers in psychiatry · 2021Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Vascular depression (VD) as defined by magnetic resonance imaging (MRI) has been proposed as a unique subtype of late-life depression. The VD hypothesis posits that cerebrovascular disease, as characterized by the presence of MRI-defined white matter hyperintensities, contributes to and increases the risk for depression in older adults. VD is also accompanied by cognitive impairment and poor antidepressant treatment response. The VD diagnosis relies on MRI findings and yet this clinical entity is largely unfamiliar to neuroradiologists and is rarely, if ever, discussed in radiology journals. The primary purpose of this review is to introduce the MRI-defined VD construct to the neuroradiology community. Case reports are highlighted in order to illustrate the profile of VD in terms of radiological, clinical, and neuropsychological findings. A secondary purpose is to elucidate and elaborate on the measurement of cerebrovascular disease through visual rating scales and semi- and fully-automated volumetric methods. These methods are crucial for determining whether lesion burden or lesion severity is the dominant pathological contributor to VD. Additionally, these rating methods have implications for the growing field of computer assisted diagnosis. Since VD has been found to have a profile that is distinct from other types of late-life depression, neuroradiologists, in conjunction with psychiatrists and psychologists, should consider VD in diagnosis and treatment planning.
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Registered trials
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.