Analysis code for age-dependent amplification of resting-state brain-state entropy in neurodevelopmental conditions

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Authors: Gyu Tae Jang
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Abstract

This repository contains the analysis code for a manuscript examining age-related amplification of resting-state brain-state entropy in ADHD. The code implements a Markov-based dynamic functional connectivity pipeline applied to resting-state fMRI data from the ADHD-200 multi-site dataset (569 participants, 738 run-level observations; ADHD = 214, TD = 355). The workflow includes sliding-window correlation, k-means brain-state estimation (K = 6), computation of Markov metrics (switch rate, dwell time, state entropy, transition entropy, and stickiness), covariate-adjusted OLS regression with site fixed effects and site-clustered robust standard errors (G = 6 sites), and Group × Age moderation analyses with simple slopes. See README.md for execution instructions, input/output descriptions, and analysis order.

Fields of Study & Subjects

Functional Brain Connectivity Studies Attention Deficit Hyperactivity Disorder Mental Health Research Topics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
20 March 2026
Language
EN