Jove
Visualize
Contact Us

Related Concept Videos

Brain Imaging01:14

Brain Imaging

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 Stimulation (TMS).

You might also read

Related Articles

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

Sort by
Same author

Exploring Bruchus rufimanus Egg Substage Dynamics at Different Constant Temperatures.

Physiologia plantarum·2026
Same author

Optimal control and multitrophic physiologically-based models: The binomial for successful decision support systems in insect pest management.

Pest management science·2026
Same author

An optimization problem to estimate life tables from stage-frequency matrices.

Insect science·2026
Same author

Quantifying Nature's Bistability: Simulation of Earwig Fan Folding.

Biomimetics (Basel, Switzerland)·2026
Same author

Editorial: Physiologia Plantarum Special Issue on Smart Agriculture-BrIAS Edition 2025.

Physiologia plantarum·2026
Same author

"Alien versus predator": predatory effect of coccinellid Exochomus quadripustulatus on the scale insect Toumeyella parvicornis. An open-field experimentation on the Pinus pinea of Rome.

Insect science·2026
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 Experiment Video

Updated: Jun 18, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

Brain-machine interfaces for space applications.

Luca Rossini1, Dario Izzo, Leopold Summerer

  • 1Advanced Concepts Team, European Space Agency, Keplerlaan 1, 2201 AZ Noordwijk, The Netherland.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
Summary

Brain-machine interfaces offer promising hands-free control for astronauts, enhancing efficiency in space. Research is needed to address microgravity effects and integrate this technology into future human space flight systems.

More Related Videos

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

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

Related Experiment Videos

Last Updated: Jun 18, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

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

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

Area of Science:

  • Human space flight
  • Neurotechnology
  • Human-computer interaction

Background:

  • Astronauts face unique challenges in microgravity, making tasks difficult and time-consuming.
  • Current computer interfaces prioritize safety and functionality but need enhancement for efficiency.
  • Brain-machine interfaces (BMIs) present a potential solution for hands-free operation.

Purpose of the Study:

  • To explore the potential of BMIs for space applications.
  • To review challenges of microgravity on brain activity for BMI use.
  • To identify key research directions for BMIs in human space flight.

Main Methods:

  • Literature review of BMI technology and space flight constraints.
  • Analysis of microgravity effects on neurological functions relevant to BMIs.
  • Identification of high-impact research areas for BMI development.

Main Results:

  • BMIs show potential for enhancing astronaut efficiency and safety.
  • Microgravity may alter brain activity, posing challenges for BMI accuracy.
  • Specific research is required to adapt BMIs for the space environment.

Conclusions:

  • BMIs can significantly benefit human space flight by providing efficient, hands-free control.
  • Further R&D is crucial to overcome microgravity-induced challenges and integrate BMIs.
  • Strategic development is needed to incorporate BMI technology into future space architectures.