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Related Experiment Video

Updated: Feb 17, 2026

PIPEMAT-RS: Development and Validation of a Standardized MATLAB Pipeline for Resting-State EEG Preprocessing
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Standardizing EEG preprocessing for cross-site integration - the CLEAN pipeline.

Adriana Böttcher1, Paul Wendiggensen1, Moritz Mückschel1

  • 1Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany; German Center for Child and Adolescent Health (DZKJ), partner site Leipzig/Dresden, Dresden, Germany.

Neuroimage
|February 15, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces CLEAN-EEG, a standardized preprocessing pipeline for electroencephalography (EEG) data. It enhances reproducibility and data integration in multi-center research by offering transparent, documented processing steps.

Keywords:
Analysis pipelineData processingEEGOpen science

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Biomedical Engineering

Background:

  • Electroencephalography (EEG) is crucial for studying cognition and neuropsychiatric disorders.
  • Inconsistent EEG preprocessing hinders reproducibility and multi-site data integration.

Purpose of the Study:

  • Introduce the CLEAN-EEG pipeline to standardize EEG data processing and documentation.
  • Enhance reproducibility and data integration in large-scale, multi-center EEG studies.

Main Methods:

  • Developed a modular, script-based preprocessing pipeline in MATLAB using EEGLAB.
  • Pipeline includes data cleaning, artifact rejection/neural component extraction via ICA, and component exclusion.
  • Emphasizes transparency with logging and quality-control plotting, minimizing rank reduction.

Main Results:

  • The CLEAN-EEG pipeline provides a standardized, reproducible method for EEG preprocessing.
  • Facilitates high-throughput analysis and integration of neurophysiological data across diverse studies.
  • Supports researcher training and rigorous multi-site data harmonization.

Conclusions:

  • CLEAN-EEG addresses the need for standardized EEG preprocessing in multi-center research.
  • Promotes transparency, reproducibility, and data integration in neurophysiological studies.
  • Enables advanced analyses like source localization and connectivity modeling.