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

Brain Imaging01:14

Brain Imaging

1.0K
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
1.0K

You might also read

Related Articles

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

Sort by
Same author

Hierarchical Active Inference Using Successor Representations.

Neural computation·2026
Same author

Evaluating large language models on multilingual vaccine knowledge: a benchmark study.

NPJ vaccines·2026
Same author

Prediction of hospitalisation in young children with pneumonia in Malawi: A machine learning-based approach.

PLoS medicine·2026
Same author

Computational assessment of memory function in kidney transplant recipients and donors.

Communications medicine·2026
Same author

CES1 deficiency is associated with metabolic reprograming and endothelial dysfunction in pulmonary arterial hypertension.

American journal of respiratory and critical care medicine·2026
Same author

Telomere shortening in laminopathic dilated cardiomyopathy.

NPJ Regenerative medicine·2026
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Apr 21, 2026

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

3.6K

A direct brain-to-brain interface in humans.

Rajesh P N Rao1, Andrea Stocco2, Matthew Bryan1

  • 1Department of Computer Science & Engineering, University of Washington, Seattle, Washington, United States of America.

Plos One
|November 6, 2014
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel non-invasive brain-to-brain interface, enabling direct human communication. This technology uses electroencephalography (EEG) and transcranial magnetic stimulation (TMS) for information transfer.

More Related Videos

Assessment and Communication for People with Disorders of Consciousness
07:37

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

11.4K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.2K

Related Experiment Videos

Last Updated: Apr 21, 2026

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

3.6K
Assessment and Communication for People with Disorders of Consciousness
07:37

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

11.4K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.2K

Area of Science:

  • Neuroscience
  • Brain-Computer Interfaces
  • Human Communication

Background:

  • Direct brain-to-brain communication remains a frontier in neuroscience.
  • Previous interfaces often required invasive procedures.
  • Non-invasive methods for direct neural information transfer are highly sought after.

Purpose of the Study:

  • To demonstrate the first direct brain-to-brain interface in humans.
  • To investigate the feasibility of non-invasive information transmission between individuals.
  • To quantify the performance of such an interface in a cooperative task.

Main Methods:

  • Utilized electroencephalography (EEG) to record brain signals (motor imagery) from a sender.
  • Employed transcranial magnetic stimulation (TMS) to deliver information to a receiver's motor cortex.
  • Developed a visuomotor cooperative computer game task for experimental validation.

Main Results:

  • Successfully transmitted motor imagery information between two human subjects.
  • Achieved accurate decoding of sender's signals and reliable motor responses in the receiver.
  • Demonstrated a rudimentary form of direct information transfer using non-invasive technology.

Conclusions:

  • The developed brain-to-brain interface represents a significant advancement in non-invasive neural communication.
  • This technology opens new avenues for understanding and facilitating direct human interaction.
  • Further research can explore enhancing the bandwidth and complexity of information transmitted.