A normative model–based assessment framework for large-scale, multi-site EEG data

In conclusion, we proposed a normative model-based framework that harmonizes large‑scale, multi‑site EEG data, enabling efficient and reliable attention assessment while demonstrating promise for broader EEG‑based applications.

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Publication Details

Journal
Brain Research Bulletin
Published
2025-09-13
DOI
https://doi.org/10.1016/j.brainresbull.2025.111546
Citations
1
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
1.21
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A normative model–based assessment framework for large-scale, multi-site EEG data

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Brain Research Bulletin
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article

A normative model–based assessment framework for large-scale, multi-site EEG data

Cheng Luo, Diankun Gong, Xiaoyu Xiong, Qiwei Dong, Dong Li, Pengyu Liu, Yuxi Zhou, Jianfu Li, Dezhong Yao
article en
1 citations

Abstract

In conclusion, we proposed a normative model-based framework that harmonizes large‑scale, multi‑site EEG data, enabling efficient and reliable attention assessment while demonstrating promise for broader EEG‑based applications.

Brain Research BulletinVol. 231
University of Electronic Science and Technology of China (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Openalex Percentile: Top 17%
Fault Detection and Control Systems
1.21
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