Measurement of Excitation-Inhibition Imbalance in Autism spectrum Disorder Using EEG Proxy Markers: A Pilot Study

Autism Spectrum Disorder (ASD) is a severe neurodevelopmental disorder characterized primarily by social impairments and repetitive behaviors. Imbalance in excitatory-inhibitory (E/I) activity within the central nervous system may be a key mechanism underlying ASD. Electroencephalography (EEG) is a useful tool for recording brain electrical signals, reflecting the activity of cortical neuron populations, and estimating both global and regional E/I balance. Various EEG methods can estimate E/I balance, including non-periodic exponent, corrected alpha power, sample entropy, average spatial phase synchronization (ASPS), and detrended fluctuation analysis (DFA) based on E/I indices. However, research on using EEG proxy markers to assess E/I imbalance in autism is limited, and there is no study indicating which method is most sensitive. Therefore, this study employed a high-density EEG acquisition system to collect data from a relatively large sample of autistic and typically developing (TD) children. We computed EEG proxy markers and used the Coefficient of Variation (CV) to compare the sensitivity of five EEG markers between the two groups. The results indicated that non-periodic exponent based on power spectra and corrected alpha power from non-periodic neural activity were more advantageous. The findings may provide theoretical support for the exploration of EEG biomarkers based on E/I balance theory.

Authors

Institutions

Publication Details

Journal
Clinical EEG and Neuroscience
Published
2025-04-13
DOI
https://doi.org/10.1177/15500594251333159
Citations
1
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
1.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measurement of Excitation-Inhibition Imbalance in Autism spectrum Disorder Using EEG Proxy Markers: A Pilot Study

Wenqin Mao, Dongwei Li, Jiannan Kang, Juanmei Wu
1 citations
Clinical EEG and Neuroscience
Autism Spectrum Disorder Research
1.43
article

Measurement of Excitation-Inhibition Imbalance in Autism spectrum Disorder Using EEG Proxy Markers: A Pilot Study

Wenqin Mao, Dongwei Li, Jiannan Kang, Juanmei Wu
article en
1 citations

Abstract

Autism Spectrum Disorder (ASD) is a severe neurodevelopmental disorder characterized primarily by social impairments and repetitive behaviors. Imbalance in excitatory-inhibitory (E/I) activity within the central nervous system may be a key mechanism underlying ASD. Electroencephalography (EEG) is a useful tool for recording brain electrical signals, reflecting the activity of cortical neuron populations, and estimating both global and regional E/I balance. Various EEG methods can estimate E/I balance, including non-periodic exponent, corrected alpha power, sample entropy, average spatial phase synchronization (ASPS), and detrended fluctuation analysis (DFA) based on E/I indices. However, research on using EEG proxy markers to assess E/I imbalance in autism is limited, and there is no study indicating which method is most sensitive. Therefore, this study employed a high-density EEG acquisition system to collect data from a relatively large sample of autistic and typically developing (TD) children. We computed EEG proxy markers and used the Coefficient of Variation (CV) to compare the sensitivity of five EEG markers between the two groups. The results indicated that non-periodic exponent based on power spectra and corrected alpha power from non-periodic neural activity were more advantageous. The findings may provide theoretical support for the exploration of EEG biomarkers based on E/I balance theory.

Clinical EEG and NeuroscienceVol. 57(1)
Beijing Normal University (CN)
National Natural Science Foundation of China
Partnerships for the goals
Openalex Percentile: Top 21%
Autism Spectrum Disorder Research
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Measurement of Excitation-Inhibition Imbalance in Autism spectrum Disorder Using EEG Proxy Markers: A Pilot Study — Wenqin Mao, Dongwei Li, et al. · Clinical EEG and Neuroscience (2025) | TGRS Research Map | TGRS