| Title: | Spontaneous brain regional dynamics contribute to generalizable brain-behaviour associations |
| Journal: | Nature Human Behaviour |
| Published: | 30 Oct 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41168426/ |
| DOI: | https://doi.org/10.1038/s41562-025-02332-0 |
Publication 19112
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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.</p>
20 Authors
- Xiaohan Tian
- Yingjie Peng
- Shu Liu
- Golia Shafiei
- Meng Wang
- Yuqing Sun
- Jing Lou
- Junxing Xian
- Ke Hu
- Yini He
- Qi Wang
- Chaoyue Ding
- Tian Gao
- Shangzheng Huang
- Kaixin Li
- Qi Wang
- Xi-Nian Zuo
- Zhanjun Zhang
- Ang Li
- Bing Liu
1 Application
| Application ID | Title |
|---|---|
| 85139 | Untangling Heterogeneity: Deep Normative Model to Detect Brain and Cardiac Anomalies in Individual Level |
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