Related Experiment Video
Updated: Jul 15, 2025

Profiling Maternal Behavior Responses During Whole-Brain Imaging
Published on: January 24, 2025
Human brain state dynamics reflect individual neuro-phenotypes.
Kangjoo Lee1, Jie Lisa Ji1, Clara Fonteneau1
1Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Individual brain activity (states) and traits show day-to-day changes. These neural variations link to behavior, revealing reproducible patterns for understanding individual differences and outcomes.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychology
Background:
- Individual differences in neural activity and behavior are recognized as states (within-individual) and traits (between-individual).
- The relationship between these state-trait neural variations and behavioral phenotypes remains incompletely understood.
- Resting-state functional magnetic resonance imaging (rs-fMRI) offers a window into intrinsic brain function.
Purpose of the Study:
- To quantify moment-to-moment changes in brain-wide co-activation patterns using rs-fMRI.
- To identify reproducible spatio-temporal features of these patterns at the individual level.
- To investigate the link between state-trait neural variations and behavioral differences.
Main Methods:
- Analysis of resting-state functional magnetic resonance imaging (rs-fMRI) data.
- Quantification of brain-wide co-activation patterns and their dynamic changes.
- Feature reduction techniques applied to identify key neural variations.
- Correlation analysis between neural variations and behavioral phenotypes.
Main Results:
- Reproducible spatio-temporal features of co-activation patterns were identified at the single-subject level.
- A joint analysis revealed general motifs of individual differences, including state-specific and general neural features with daily variability.
- Principal neural variations significantly co-varied with behavioral phenotypes related to cognitive function, emotion regulation, and substance use.
- Individual-specific probabilities of occupying particular co-activation patterns were reproducible and associated with neural and behavioral features.
Conclusions:
- The study successfully quantified dynamic, state-trait neural variations from rs-fMRI.
- These neural variations are linked to individual differences in behavior, including cognition and emotion regulation.
- The approach holds promise for developing reproducible neuroimaging markers for predicting individual functional outcomes.
More Related Videos
08:36Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
Published on: March 21, 2019
04:44Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
Published on: July 21, 2021
Related Concept Videos
Neuroplasticity
Neural Regulation
Brain Waves