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 9, 2026

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

Decoding and cortical source localization for intended movement direction with MEG.

Wei Wang¹, Gustavo P Sudre, Yang Xu

¹Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA.

Journal of Neurophysiology

|August 27, 2010

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

Spinal cord stimulation for upper limb motor function in people with chronic post-stroke hemiparesis: a feasibility trial.

Nature medicine·2026

Same author

Effects of peripheral nerve damage on promoting maladaptive plasticity in the spinal cord and brain.

Neuroscience·2026

Same author

Closed-loop error damping in human BCI using pre-error motor cortex activity.

bioRxiv : the preprint server for biology·2026

Same author

Insights from multimodal simultaneous SEEG-EEG and SEEG-MEG recordings: A case of combined generalized and focal epilepsy.

Epilepsia·2026

Same author

Temporal state-space model for forecasting slow-wave EEG power in non-human primates.

Journal of neural engineering·2026

Same author

Slow wave electroencephalogram spectral properties during adaptation of a new light dark cycle in cynomolgus monkeys.

Sleep advances : a journal of the Sleep Research Society·2026

Same journal

Targeting intracranial electrical stimulation to network regions defined within individuals causes network-level effects.

Journal of neurophysiology·2026

Same journal

When "Noise" Isn't Simply Noise: Deterministic Postural Drive During Noisy Galvanic Vestibular Stimulation (nGVS).

Journal of neurophysiology·2026

Same journal

Abrupt Scene Onsets and Gradually Emerging Scene Information Produce Distinct EEG Decoding Dynamics.

Journal of neurophysiology·2026

Same journal

From discovery to translation: charting a course for the <i>Journal of Neurophysiology</i>.

Journal of neurophysiology·2026

Same journal

Neuromodulatory Strategies Overcome Multiple Inevitable Impairments of Cerebral Palsy.

Journal of neurophysiology·2026

Same journal

Acute Fentanyl Toxicity:From Opioid-Induced to Hypoxia-Mediated Pathophysiology.

Journal of neurophysiology·2026

See all related articles

Magnetoencephalography (MEG) can decode intended movement direction from brain signals, even without overt movement. This finding is crucial for developing brain-controlled interfaces (BCI) for individuals with motor disabilities.

Area of Science:

Neuroscience
Biomedical Engineering

Background:

Magnetoencephalography (MEG) offers noninvasive brain interfacing, potentially matching invasive techniques for movement information.
Previous research demonstrated decoding movement direction from MEG signals during overt actions.

Purpose of the Study:

To decode intended movement direction from MEG signals during movement planning and imagined movements.
To identify cortical areas modulated by intended movement direction for brain-controlled interface (BCI) applications.

Main Methods:

Whole-head MEG recorded cortical activity from 10 able-bodied subjects performing overt and imagined wrist movements.
Linear discriminant analysis and Bayesian classifiers were used to decode intended movement direction.
Minimum Current Estimation (MCE) with bootstrapping enabled source-space statistical analysis.

More Related Videos

Electromagnetic Source Imaging in Presurgical Evaluation of Children with Drug-Resistant Epilepsy

Electromagnetic Source Imaging in Presurgical Evaluation of Children with Drug-Resistant Epilepsy

Published on: September 20, 2024

Functional Mapping with Simultaneous MEG and EEG

Functional Mapping with Simultaneous MEG and EEG

Published on: June 14, 2010

Related Experiment Videos

Last Updated: Jun 9, 2026

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

Electromagnetic Source Imaging in Presurgical Evaluation of Children with Drug-Resistant Epilepsy

Electromagnetic Source Imaging in Presurgical Evaluation of Children with Drug-Resistant Epilepsy

Published on: September 20, 2024

Functional Mapping with Simultaneous MEG and EEG

Functional Mapping with Simultaneous MEG and EEG

Published on: June 14, 2010

Main Results:

Intended movement direction was successfully decoded from MEG signals during both overt and imagined movements.
The contralateral motor cortex showed significant modulation by intended movement direction.
This modulation peaked approximately 100 ms before overt movement onset.

Conclusions:

MEG can capture specific movement information from brain activity, even in the absence of physical movement.
These findings support the use of MEG for presurgical planning of optimal electrode placement for BCI systems.
This research advances the development of noninvasive brain-computer interfaces for individuals with severe motor impairments.