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Blind Procedures

Blind Procedures

Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...

Blinding

Blinding

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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.

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Related Experiment Video

Updated: Feb 4, 2026

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

Published on: June 6, 2015

Automated EEG source imaging: A retrospective, blinded clinical validation study.

Amir G Baroumand¹, Pieter van Mierlo¹, Gregor Strobbe²

¹Medical Image and Signal Processing Group, Department of Electronics and Information Systems, Ghent University - imec, De Pintelaan 185, 9000 Ghent, Belgium.

Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology

|October 3, 2018

Summary

This summary is machine-generated.

Automated EEG source imaging (ESI) shows promise for localizing the epileptogenic zone in epilepsy patients. A semi-automated approach achieved 78% accuracy, aiding presurgical evaluation.

Keywords:

Automation EEG Epilepsy Presurgical evaluation Source imaging Source localization

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Last Updated: Feb 4, 2026

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

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Published on: June 6, 2015

PIPEMAT-RS: Development and Validation of a Standardized MATLAB Pipeline for Resting-State EEG Preprocessing

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Cortical Source Analysis of High-Density EEG Recordings in Children

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

Area of Science:

Neuroscience
Medical Imaging
Epileptology

Background:

Accurate localization of the epileptogenic zone is crucial for successful epilepsy surgery.
Electroencephalography (EEG) source imaging (ESI) offers a non-invasive method for estimating electrical activity origins in the brain.

Purpose of the Study:

To evaluate the diagnostic accuracy of automated EEG source imaging (ESI) in identifying the epileptogenic zone in focal epilepsy patients.
To compare the performance of fully automated versus semi-automated ESI approaches.

Main Methods:

Analysis of long-term EEG data from 41 epilepsy patients undergoing resective surgery.
Application of automated spike detection, clustering, and source imaging (sLORETA) with individual head models.
Physician-guided semi-automated ESI evaluation of automated results.

Main Results:

The fully automated ESI approach achieved an accuracy of 61% (95% CI: 45-76%).
The semi-automated approach, with physician input, demonstrated higher accuracy at 78% (95% CI: 62-89%).
Accuracy was comparable to existing neuroimaging techniques.

Conclusions:

Automated ESI shows comparable accuracy to established neuroimaging methods for epileptogenic zone localization.
Semi-automated ESI offers improved accuracy, highlighting the value of clinical integration.
Increased adoption of automated ESI is anticipated to enhance presurgical epilepsy evaluations.