ArticleCerebral cortex (New York, N.Y. : 1991)2020
Hippocampal Subfields and Limbic White Matter Jointly Predict Learning Rate in Older Adults.
Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 1 of them a synthesis that pooled it.
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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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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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Age-related differences in hippocampal subfield volumes across the human lifespan: A meta-analysis.Hippocampus · 2023Pooled it
- Spatial and temporal patterns of cortical mean diffusivity in Alzheimer's disease and suspected non-Alzheimer's disease pathophysiology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Causal relationship between multiparameter brain MRI phenotypes and age: evidence from Mendelian randomization.Brain communications · 2024Article
- Characterization of diffusion magnetic resonance imaging revealing relationships between white matter disconnection and behavioral disturbances in mild cognitive impairment: a systematic review.Frontiers in neuroscience · 2023Review
- Relationship between a novel learning slope metric and Alzheimer's disease biomarkers.Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition · 2022Article
- Validation of and Demographically Adjusted Normative Data for the Learning Ratio Derived from the RAVLT in Robustly Intact Older Adults.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2022Article
- Relationships Between Memory Impairments and Hippocampal Structure in Patients With Subcortical Ischemic Vascular Disease.Frontiers in aging neuroscience · 2022Article
- Dynamic modeling of practice effects across the healthy aging-Alzheimer's disease continuum.Frontiers in aging neuroscience · 2022Article
- Cohort profile: follow-up of a Berlin Aging Study II (BASE-II) subsample as part of the GendAge study.BMJ open · 2021Observational
- Demographically-corrected normative data for the HVLT-R, BVMT-R, and Aggregated Learning Ratio values in a sample of older adults.Journal of clinical and experimental neuropsychology · 2021Article
- Within-session verbal learning slope is predictive of lifespan delayed recall, hippocampal volume, and memory training benefit, and is heritable.Scientific reports · 2020Article
- Sensitivity of memory subtests and learning slopes from the ADAS-Cog to distinguish along the continuum of the NIA-AA Research Framework for Alzheimer's Disease.Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognitionArticle
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 5 institutions in 5 countries.
Funding
Abstract
Age-related memory impairments have been linked to differences in structural brain parameters, including cerebral white matter (WM) microstructure and hippocampal (HC) volume, but their combined influences are rarely investigated. In a population-based sample of 337 older participants aged 61-82 years (Mage = 69.66, SDage = 3.92 years), we modeled the independent and joint effects of limbic WM microstructure and HC subfield volumes on verbal learning. Participants completed a verbal learning task of recall over five repeated trials and underwent magnetic resonance imaging (MRI), including structural and diffusion scans. We segmented three HC subregions on high-resolution MRI data and sampled mean fractional anisotropy (FA) from bilateral limbic WM tracts identified via deterministic fiber tractography. Using structural equation modeling, we evaluated the associations between learning rate and latent factors representing FA sampled from limbic WM tracts, and HC subfield volumes, and their latent interaction. Results showed limbic WM and the interaction of HC and WM-but not HC volume alone-predicted verbal learning rates. Model decomposition revealed HC volume is only positively associated with learning rate in individuals with higher WM anisotropy. We conclude that the structural characteristics of limbic WM regions and HC volume jointly contribute to verbal learning in older adults.
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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.