ArticleScientific reports2021
Brain network analysis reveals that amyloidopathy affects comorbid cognitive dysfunction in older adults with depression.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Anxious-depressive symptoms and sleep disturbances across the Alzheimer disease spectrum.Nature. Mental health · 2025Article
- Can brain network connectivity facilitate the clinical development of disease-modifying anti-Alzheimer drugs?Brain communications · 2025Review
- The heterogeneity of late-life depression and its pathobiology: a brain network dysfunction disorder.Journal of neural transmission (Vienna, Austria : 1996) · 2023Review
- Functional connectome metrics reveal distinct prognostic subtypes in two Phase 3 gantenerumab trials.Alzheimer's & dementia (New York, N. Y.)Article
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Authors and funding
8 authors at 4 institutions in 3 countries.
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Abstract
Late-life depression (LLD) may increase the risk of Alzheimer's dementia (AD). While amyloidopathy accelerates AD progression, its role in such patients has not yet been elucidated. We hypothesized that cerebral amyloidopathy distinctly affects the alteration of brain network topology and may be associated with distinct cognitive symptoms. We recruited 26 and 27 depressed mild cognitive impairment (MCI) patients with (LLD-MCI-A(+)) and without amyloid accumulation (LLD-MCI-A(-)), respectively, and 21 normal controls. We extracted structural brain networks using their diffusion-weighted images. We aimed to compare the distinct network deterioration in LLD-MCI with and without amyloid accumulation and the relationship with their distinct cognitive decline. Thus, we performed a group comparison of the network topological measures and investigated any correlations with neurocognitive testing scores. Topological features of brain networks were different according to the presence of amyloid accumulation. Disrupted network connectivity was highly associated with impaired recall and recognition in LLD-MCI-A(+) patients. Inattention and dysexecutive function were more influenced by the altered networks involved in fronto-limbic circuitry dysfunction in LLD-MCI-A(-) patients. Our results show that alterations in brain network topology may reflect different cognitive dysfunction depending on amyloid accumulation in depressed older adults with MCI.
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