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Mapping Developmental Patterns Of Intrinsic Timescale.

Home
Mapping Developmental Patterns Of Intrinsic Timescale.

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Mapping developmental patterns of intrinsic timescale.

Golia Shafiei^1,2,3, Joëlle Bagautdinova^1,2,3, 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

View abstract on PubMed

Summary

This summary is machine-generated.

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.

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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.