Hello good people of mastodon. I've been studying human brain development since starting my postdoc and have some results to share about how alpha rhythms and intrinsic neural timescales develop. (https://doi.org/10.1101/2025.08.21.671637)

Why alpha? Well, there was already plenty of evidence that alpha rhythms speed up with age, making it one of the better studied physiological markers of neurodevelopment.

Why intrinsic neural timescales? There have been hints that intrinsic neural timescales decrease with age, and they are also a functional measure of neural processing hierarchy - sensorimotor regions (at the base of the hierarchy) tend to have shorter intrinsic timescales than association regions (in developed brains, anyway).

The hierarchy bit caught my attention because emerging evidence suggests sensorimotor regions develop before association regions.

So, we asked whether developmental changes to these measures were related, and also tested whether their relationships depended on which pole of the neural hierarchy we sampled from, using intracranial electrocorticography from kids, teens, and adults.

We found that age-dependent alpha frequency increases were indeed related to timescale decreases, but the relationship was really only evident in association regions. I thought this was very cool!

What I like about this study is that ECoG gives us really precise anatomical localization of our signals AND high temporal resolution, which allowed us to bring together findings from fMRI (slow) and scalp-EEG (difficult to localize), and fill in a couple gaps.

I'm hoping the paper does a good job of contextualizing our results within those literatures, but it's my first go in this field so feedback is welcome!

Also, message me if you'd like to see these results in poster form and I'll send you a PDF ✨

#neuroscience #neurodevelopment #electrophysiology

Developmental relationships between the human alpha rhythm and intrinsic neural timescales are dependent on neural hierarchy

Maturation of human brain structure has been well-studied, but developmental changes to brain physiology are not as well understood. One consistent finding is that the peak alpha rhythm frequency (PAF) increases throughout childhood. Another is that resting-state functional connectivity shifts from sensorimotor regions in children to association regions in adolescents, a reorganization along a hierarchy called the sensorimotor-to-association (S-A) axis. In mature brains, the S-A axis has been parcellated physiologically using the duration of persistent neural activity, known as the intrinsic neural timescale (INT), which increases along the hierarchy. Here we studied the development of PAF and INT in a cohort of epilepsy patients 3 – 33 years of age undergoing intracranial electrocorticographic (ECoG) monitoring. Given the well-known developmental trajectory of PAF, and the ability to delineate hierarchy using INT, we hypothesized that changes to PAF and INT would correlate across development, but that their relationship may be influenced by hierarchy. Consequently, we predicted that age-dependent PAF increases would accompany INT decreases, and we tested whether their relationship varied between sensorimotor and association regions. We found that PAF increased significantly with age in both sensorimotor and association regions, while age-dependent INT decreases were only significant in association regions. Supporting this finding, we found a strong negative relationship between PAF and INT that was specific to association regions. Together, our results suggest that developmental divisions across the S-A axis manifest in the relationships between neurophysiological measures, providing further evidence that asynchronous development along the S-A axis depends on maturation of brain function. New & Noteworthy We report a novel developmental relationship between the human resting-state alpha rhythm frequency and the duration of intrinsic neural timescales. Using resting-state electrocorticography, we found that alpha frequency increased with age at either end of the sensorimotor-to-association cortical hierarchy, while intrinsic neural timescales only decreased with age in association regions. This negative correlation between alpha frequency and intrinsic timescale was only evident in association regions, further linking functional maturation and cortical hierarchy. ![Figure][1]</img> ### Competing Interest Statement The authors have declared no competing interest. [1]: pending:yes

bioRxiv
@jessetm Reads interesting, thank you for the summary. It's hard to find fMRI studies that make good use of the strengths and patch up the weaknesses with another technique. If you are looking for a journal, consider eLife and choose Tim Behrens as the senior editor.

@albertcardona

Thank you! I have to admit I used to be pretty harsh on fMRI, but it was very gratifying to see some of the predictions from that literature bear fruit in this project. I've learned a lot from that field in the past year!

My mentors recommended Journal of Neurophysiology, so we're trying our luck there first, but I will absolutely keep eLife in mind. I appreciate the tip to go through Dr. Behrens as senior editor - I'm a fan of his work!