Day2Day Environment multimodal longitudinal dataset¶
Product or Programme · All products and programmes
Evidence · 3 claims (2 for, 1 mixed) · 3 studies (2 associational, 1 design),q2· 0 of 3 report an effect size · 2 claims rest on one study
Description¶
A longitudinal dataset created by Falkenstein Kim et al. that combines neuroimaging with wearable, physiological, behavioral, cognitive, affective, and environmental data collected across 25 timepoints from 30 adults.
Components¶
Claims¶
- Time of day and days since the first scan are robust predictors of within-person variance in grey matter and total cortex volume [+W]
- Time spent outdoors in the 24 hours before scanning is positively associated with grey matter volume in the right dorsolateral prefrontal cortex [+W]
- Dictionary-based SEANCE features yielded 21 nominally significant within-person associations with wearable outcomes, but none survived Bonferroni or FDR correction [~W]
Related Products and Programmes¶
Key Sources¶
- Falkenstein Kim, Pauley Claire, Kühn Simone. (2026). Investigating effects of day-to-day variations in environmental exposure on the human brain: study protocol for the Day2Day Environment project. BMC Neuroscience. https://doi.org/10.1186/s12868-026-01052-z
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
day2day-environment-multimodal-longitudinal-dataset |
title |
Day2Day Environment multimodal longitudinal dataset |
description |
A longitudinal dataset created by Falkenstein Kim et al. |
status |
review |
moved_from |
element/day2day-environment-dataset |
product_kind |
dataset |
generated |
by process:sweep-kinds on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — falkenstein-kim-2026 |
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