Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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

Efficacy and Tolerability of Extended-Duration Tonic Motor Activation for Treatment of Restless Legs Syndrome with Awakenings During Sleep.

Journal of clinical medicine·2026
Same author

Diminished variability of alpha and beta band-limited power as a neural signature in schizophrenia.

Translational psychiatry·2026
Same author

Exploring Confinement-Induced Self-Assembly of Anthracene in a Janus Inorganic Nanotube as a Route to Water-Dispersible Nanoscintillators.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Reopening Motor Learning Windows: Targeted Re-Engagement of Latent Pathways via Non-Invasive Neuromodulation.

Life (Basel, Switzerland)·2026
Same author

Study of Thyroid Function in Newly Diagnosed Human Immunodeficiency Virus Patients and Effect of Antiretroviral Therapy on Thyroid Function.

The Journal of the Association of Physicians of India·2026
Same author

Network optimal retrieval of sparse perturbations for steady-state control.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

Developing a binary communication protocol between biological neural networks using virtual white matter.

Journal of neural engineering·2026
Same journal

Spatiotemporally distinctive astrocytic and neuronal responses to repetitive intracortical microstimulation.

Journal of neural engineering·2026
Same journal

A neural mass modelling framework for evaluating EEG source localisation of seizure activity.

Journal of neural engineering·2026
Same journal

Functional and effective connectivity methods from SEEG for characterizing epileptogenic networks in refractory epilepsy: a comprehensive review and future directions.

Journal of neural engineering·2026
Same journal

Online decoding of rat self-paced locomotion speed from EEG using recurrent neural networks.

Journal of neural engineering·2026
Same journal

The seizure embedding map: A spatio-temporal transformer for comparing patients by ictal intracranial EEG features at scale.

Journal of neural engineering·2026
See all related articles

Related Experiment Video

Updated: Jun 2, 2025

Effects of Transcranial Alternating Current Stimulation on the Primary Motor Cortex by Online Combined Approach with Transcranial Magnetic Stimulation
11:11

Effects of Transcranial Alternating Current Stimulation on the Primary Motor Cortex by Online Combined Approach with Transcranial Magnetic Stimulation

Published on: September 23, 2017

9.0K

Personalized μ-transcranial alternating current stimulation improves online brain-computer interface control.

Deland Hu Liu1, Satyam Kumar1, Hussein Alawieh1

  • 1Chandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, 301 E. Dean Keeton St. C2100, Austin, Texas, 78712-1139, UNITED STATES.

Journal of Neural Engineering
|January 13, 2025
PubMed
Summary
This summary is machine-generated.

This study used transcranial alternating current stimulation (tACS) to improve brain-computer interface (BCI) performance in users. Targeted tACS enhanced motor imagery (MI) signals, boosting BCI accuracy for hand control.

Keywords:
Brain-computer interfaceEEGMotor imagerySensorimotor rhythmsTranscranial alternating current stimulation

More Related Videos

Updated Technique for Reliable, Easy, and Tolerated Transcranial Electrical Stimulation Including Transcranial Direct Current Stimulation
10:11

Updated Technique for Reliable, Easy, and Tolerated Transcranial Electrical Stimulation Including Transcranial Direct Current Stimulation

Published on: January 3, 2020

10.9K
Simultaneous Transcranial Alternating Current Stimulation and Functional Magnetic Resonance Imaging
10:25

Simultaneous Transcranial Alternating Current Stimulation and Functional Magnetic Resonance Imaging

Published on: June 5, 2017

13.9K

Related Experiment Videos

Last Updated: Jun 2, 2025

Effects of Transcranial Alternating Current Stimulation on the Primary Motor Cortex by Online Combined Approach with Transcranial Magnetic Stimulation
11:11

Effects of Transcranial Alternating Current Stimulation on the Primary Motor Cortex by Online Combined Approach with Transcranial Magnetic Stimulation

Published on: September 23, 2017

9.0K
Updated Technique for Reliable, Easy, and Tolerated Transcranial Electrical Stimulation Including Transcranial Direct Current Stimulation
10:11

Updated Technique for Reliable, Easy, and Tolerated Transcranial Electrical Stimulation Including Transcranial Direct Current Stimulation

Published on: January 3, 2020

10.9K
Simultaneous Transcranial Alternating Current Stimulation and Functional Magnetic Resonance Imaging
10:25

Simultaneous Transcranial Alternating Current Stimulation and Functional Magnetic Resonance Imaging

Published on: June 5, 2017

13.9K

Area of Science:

  • Neuroscience
  • Biomedical Engineering

Background:

  • Motor imagery (MI) based brain-computer interfaces (BCIs) decode electroencephalography (EEG) signals for limb movement control.
  • Many users struggle with BCI proficiency due to unreliable MI patterns, limiting system performance.

Purpose of the Study:

  • To enhance online MI-BCI performance using a personalized, biomarker-driven approach with transcranial alternating current stimulation (tACS).
  • To investigate the neural correlates of MI-BCI performance and the effects of tACS on sensorimotor rhythms.

Main Methods:

  • Applied 20-minute tACS at participant-specific peak µ frequency in resting-state sensorimotor rhythms (SMRs).
  • Utilized an active-controlled, single-blind study design with healthy participants (N=10) and a control group (N=10).

Main Results:

  • Observed significant improvements in µ SMR event-related desynchronizations (ERDs) after tACS.
  • Demonstrated enhanced online MI-BCI performance in decoding left vs. right hand commands in the tACS group.
  • Found a significant correlation between resting-state µ SMRs and µ ERDs, explaining BCI performance changes.

Conclusions:

  • tACS shows promise as a non-invasive intervention to improve BCI performance.
  • This approach can enhance the independence and interaction capabilities of individuals relying on BCI systems.