Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jun 18, 2026

Functional Mapping with Simultaneous MEG and EEG

Functional Mapping with Simultaneous MEG and EEG

Published on: June 15, 2010

Automatic alignment of EEG/MEG and MRI data sets.

D Kozinska¹, F Carducci, K Nowinski

¹Interdisciplinary Center for Mathematical and Computational Modelling, University of Warsaw, ul. Pawinskiego 5a, 02-106, Warsaw, Poland. kozinska@icm.edu.pl

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

|July 19, 2001

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Assessing brain neuroplasticity: Surface morphometric analysis of cortical changes induced by Quadrato motor training.

Journal of anatomy·2024

Same author

Inward versus reward: white matter pathways in extraversion.

Personality neuroscience·2020

Same author

Personalizing the Electrode to Neuromodulate an Extended Cortical Region.

Brain stimulation·2015

Same author

Evaluation of volumetric changes in differential diagnosis of brain atrophy and active hydrocephalus.

Advances in experimental medicine and biology·2014

Same author

Regional personalized electrodes to select transcranial current stimulation target.

Frontiers in human neuroscience·2013

Same author

Anatomical substrates of cognitive and clinical dimensions in first episode schizophrenia.

Acta psychiatrica Scandinavica·2012

A new technique automatically aligns scalp sensor data with MRI brain scans. This method offers accurate registration for improved localization of biological processes using electroencephalography and magnetoencephalography.

Area of Science:

Neuroimaging
Biomedical Engineering

Background:

Accurate alignment of electroencephalography (EEG) or magnetoencephalography (MEG) sensor data with magnetic resonance imaging (MRI) is crucial for precise source localization of brain activity.
Existing methods may be time-consuming or require manual intervention, impacting efficiency and patient comfort.

Purpose of the Study:

To develop and validate a fully automatic technique for aligning scalp-acquired neurophysiological data with head MRI volumes.
To enhance the accuracy and robustness of sensor-to-MRI registration for improved brain data analysis.

Main Methods:

A novel alignment method utilizing geometrical features from digitized head surface points and MRI data.
Combines 3D geometrical moments for initial coarse alignment and 3D distance-based alignment for fine-tuning.

More Related Videos

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Related Experiment Videos

Last Updated: Jun 18, 2026

Functional Mapping with Simultaneous MEG and EEG

Functional Mapping with Simultaneous MEG and EEG

Published on: June 15, 2010

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Incorporates weighted geometrical moments and outlier removal to mitigate digitization errors.

Main Results:

Simulations showed average map errors between 0.7 and 2.1 mm with digitization errors up to 2 mm.
Average distance error in simulations was less than 1 mm.
Real data testing yielded an average distance error of 2.1–2.5 mm.

Conclusions:

The developed technique provides fast, robust, and patient-friendly automatic alignment of scalp sensor data with MRI.
Achieves satisfactory accuracy for localizing biological processes with common sensor configurations (32, 64, 128 channels).
Facilitates more precise neuroimaging analysis by accurately registering external sensor data to internal brain anatomy.