ArticlePloS one2024
A novel biomarker selection method using multimodal neuroimaging data.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Frontotemporal cortical activity in Chinese male alcohol-dependent patients during a verbal fluency task: a functional near-infrared spectroscopy study.Frontiers in psychiatry · 2026Article
- A novel strategy for detecting multiple mediators in high-dimensional mediation models.Frontiers in psychiatry · 2025Article
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Authors and funding
4 authors.
Funding
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Abstract
Identifying biomarkers is essential to obtain the optimal therapeutic benefit while treating patients with late-life depression (LLD). We compare LLD patients with healthy controls (HC) using resting-state functional magnetic resonance and diffusion tensor imaging data to identify neuroimaging biomarkers that may be potentially associated with the underlying pathophysiology of LLD. We implement a Bayesian multimodal local false discovery rate approach for functional connectivity, borrowing strength from structural connectivity to identify disrupted functional connectivity of LLD compared to HC. In the Bayesian framework, we develop an algorithm to control the overall false discovery rate of our findings. We compare our findings with the literature and show that our approach can better detect some regions never discovered before for LLD patients. The Hub of our discovery related to various neurobehavioral disorders can be used to develop behavioral interventions to treat LLD patients who do not respond to antidepressants.
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