A Universal Space of Brain Dynamics for Unveiling Cognitive Transitions and Individual Differences
Ronghua Zheng, Chengyuan Qian, Weiyang Ding

TL;DR
This paper introduces Universal Brain Dynamics (UBD), a data-driven framework that constructs a universal space to accurately model and analyze human brain activity across diverse states and individuals, revealing neural mechanisms of cognition.
Contribution
The study develops UBD to unify spatial and temporal brain properties, enabling precise modeling of brain dynamics and individual differences across cognitive states.
Findings
UBD predicts fMRI signals with Pearson's r > 0.9 across 8 states and 963 subjects.
Insights into infra-slow fluctuations underpin brain activity.
New perspective on structure-function coupling through temporal analysis.
Abstract
Representing dynamical systems through data-driven universal spaces has proven effective; however, achieving this universality for human brain activity remains a significant challenge, further aggravated by diverse cognitive states and individual subjects. Recognizing that spatial properties reflect physical wiring while temporal properties reflect brain function, we develop Universal Brain Dynamics (UBD) to construct a universal space tailored to brain activity and quantify corresponding dynamics using a model-derived Jacobian matrix. Crucially, we validate UBD's universality by accurately predicting functional magnetic resonance imaging (fMRI) signals (Pearson's r > 0.9) across eight states and 963 subjects in the Human Connectome Project (HCP). Through evaluating resting-state fMRI represented within UBD, we gain insight into how infra-slow fluctuation (ISF) underpins brain activity.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
