Scale-Dependent Development of Neural Signal Complexity and its Association with Working Memory in Childhood.

Junxia Han, Linya Liang, Jinhong Ding, Jing Zhao, Xiaoli Li

Abstract read

In one paragraph

Article in Brain topography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Junxia HanBeijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China. hanjunxia@cnu.edu.cn.

Linya LiangBeijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China.

Jinhong DingBeijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China.

Jing ZhaoBeijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China. zhaojing@cnu.edu.cn.

Xiaoli LiState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China. xiaoli@bnu.edu.cn.

Funding

Brain Science and Brain-like Intelligence Technology - National Science and Technology Major Project 2021ZD0200500National Natural Science Foundation of China 62003228

6 · The paper itself

Abstract

Neural development during childhood involves progressive reorganization of brain dynamics across multiple temporal scales. The present study examined developmental differences in neural signal complexity, indexed by modified multiscale entropy (mMSE), in 253 typically developing children aged 3-9 years. Resting-state EEG was analyzed across 20 temporal scales spanning approximately 4-80 ms, and age-related differences were assessed using linear mixed-effects models with sex included as a covariate. Results showed systematic age-related increases in neural signal complexity, with developmental effects varying across individual temporal scales and scalp regions. Although positive age-related effects were observed across multiple scales, their magnitude differed across temporal resolutions, indicating a scale-dependent pattern of neural maturation. In addition, regional mMSE values showed positive associations with short-term working memory capacity, with significant effects observed in frontal, occipital, and temporal regions across multiple temporal scales.Together, these findings indicate that childhood brain maturation is characterized by scale-dependent increases in neural temporal complexity that are associated with the development of working memory.

Indexed as

BrainChild DevelopmentMemory, Short-TermBrain MappingChildChild, PreschoolElectroencephalographyEntropyFemaleHumansMaleChild developmentEEG signal complexityModified multiscale entropyNeural dynamicsWorking memory

Identifiers

PMID42726323

DOI10.1016/j.dcn.2021.100945

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.