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Mapping developmental patterns of intrinsic timescale
Golia Shafiei1,2,3, Joëlle Bagautdinova1,2,3, Valerie J Sydnor4
1Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Biorxiv : the Preprint Server for Biology
|April 17, 2026
Summary
The intrinsic timescale, a measure of neural processing, matures hierarchically in the developing human brain along the sensorimotor to association cortex axis. This pattern stabilizes in adulthood, revealing a key marker of youth brain development.
Area of Science:
- Neuroscience
- Developmental Neuroscience
- Brain Imaging
Background:
- Intrinsic timescale measures the temporal processing window of neuronal populations.
- It shows hierarchical organization across species, with shorter timescales in sensorimotor vs. association cortex.
- Limited knowledge exists on its developmental trajectory in humans.
Purpose of the Study:
- To investigate neurodevelopmental patterns of intrinsic timescale in youth.
- To examine if developmental patterns generalize across independent datasets.
- To understand how intrinsic timescale evolves and stabilizes during human brain maturation.
Main Methods:
- Analysis of two independent youth datasets (HCPD, HBN; ages 8-22).
- Estimation of intrinsic timescale from spontaneous neural dynamics.
- Validation using an independent healthy young adult dataset (HCPYA; ages 22-37).
Main Results:
- Developmental changes in intrinsic timescale follow a hierarchical pattern along the sensorimotor-association (S-A) cortical axis.
- This hierarchical maturation is observed consistently across independent youth samples.
- The intrinsic timescale develops along the S-A axis in youth and stabilizes in adulthood.
Conclusions:
- Intrinsic timescale maturation in youth converges with major axes of cortical organization and development.
- It serves as a principled marker for hierarchical brain maturation during adolescence.
- Findings highlight the S-A axis as a critical developmental trajectory for neural processing timescales.

