ArticleAdvances in geriatric medicine and research2023
Challenges in Identifying Individualized Brain Biomarkers of Late Life Depression.
Article in Advances in geriatric medicine and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Depression and anxiety in vascular dementia: an update.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- Molecular Mechanisms of Accelerated Ageing in Geriatric Depression: Interplay of Telomere Attrition, Mitochondrial Dysfunction and Cellular Senescence.International journal of molecular sciences · 2026Review
- Improving Late-Life Depression Analysis with Collaborative Domain Adaptation: Learning from Heterogeneous Structural MRI.Reconstruction and imaging motion estimation, and graphs in biomedical image analysis : first international workshop, RIME 2025 and 7th international workshop, GRAIL 2025, Daejeon, South Korea, September 27, 2025 : proceedings. RIME (Wo... · 2026Article
- Towards closed-loop precision psychiatry: Integrating MRI biomarkers for individualized care of major depressive disorder.Psychoradiology · 2025Review
- Breakthroughs and challenges for generating brain network-based biomarkers of treatment response in depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Research into neuroimaging biomarkers for Late Life Depression (LLD) has identified neural correlates of LLD including increased white matter hyperintensities and reduced hippocampal volume. However, studies into neuroimaging biomarkers for LLD largely fail to converge. This lack of replicability is potentially due to challenges linked to construct variability, etiological heterogeneity, and experimental rigor. We discuss suggestions to help address these challenges, including improved construct standardization, increased sample sizes, multimodal approaches to parse heterogeneity, and the use of individualized analytical models.
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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.