ArticleNature human behaviour2026
Spontaneous brain regional dynamics contribute to generalizable brain-behaviour associations.
Article in Nature human behaviour, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Human brain connectome profiles mediate the relationship between pathology burden and clinical phenotypes in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors.
Funding
Abstract
Spontaneous brain activity is fundamental to understanding the neural basis of inter-individual differences, making its characterization central to brain-wide association studies. While inter-regional coupling patterns have been extensively studied, intra-regional dynamics remain largely unexplored. Here, analysing data from four neuroimaging cohorts (ages 8-82 years; N = 30,148), we extracted ~5,000 time-series features from resting-state haemodynamic signals across 271 brain regions, offering a comprehensive characterization of intra-regional dynamics. We identified a reliable subset that serves as an individual-specific 'barcode', capturing multifaceted dynamic dimensions that stably reflect inter-individual variation across datasets. These barcodes linked nonlinear autocorrelations in unimodal regions to substance use traits and random walk dynamics in higher-order networks to general cognitive abilities. Importantly, these brain-behaviour associations generalized across life stages and populations, with substance use showing age-specific variation and cognition exhibiting consistent patterns across age groups. This work advances large-scale, generalizable brain-wide association studies by highlighting the potential of intra-regional dynamics.
Indexed as
Identifiers
41168426What OpenQuestion holds
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.