ArticleScientific data2026
A longitudinal resource for mapping interindividual variation in the aging connectome.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- A longitudinal resource for mapping interindividual variation in the aging connectome.Scientific data · 2026Article
- Multiscale brain development across the human lifespan.Communications biology · 2026Review
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14 authors.
Funding
Abstract
Trajectories of age-related neurocognitive decline are nonuniform, and are impacted by numerous environmental and physiological factors. Earlier life phases set the stage for later life neurocognitive function, with midlife marking a critical transition characterized by increasing variability in cognitive, affective, and physiological functioning. Despite its importance, this turbulent period remains underrepresented in open neuroimaging data resources. To address this gap, the Nathan Kline Institute - Rockland Sample (NKI-RS) created 'Mapping Interindividual Variation in the Aging Connectome' (MIVAC), an openly shared, multimodal dataset designed to map brain aging trajectories beginning in midlife and assess the influence of key modifiable factors linked to dementia prevention such as cardiorespiratory fitness, sleep, and mood. This longitudinal investigation includes 348 community-ascertained participants aged 38 to 71 years at baseline, with 219 participants completing 3 annual timepoints. Data collection incorporated deep phenotyping, including detailed assessment of cognitive, behavioral, medical, and cardiorespiratory fitness domains, to compliment multimodal neuroimaging (resting-state fMRI, diffusion MRI, morphometric MRI, and arterial spin labeling) and biospecimen collection. The protocol harmonizes with prior NKI-RS sub studies, enabling lifespan cross-sectional or longitudinal questions, while incorporating age-specific considerations for cognitive and neural aging. The full dataset is openly available.
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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.