Related Experiment Video
Updated: May 17, 2026
Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation
Published on: February 23, 2020
Brain-machine interfaces and transcranial stimulation: future implications for directing functional movement and
Jose M Carmena1, Leonardo G Cohen
1Department of Electrical Engineering, University of California, Berkeley, CA, USA. carmena@eecs.berkeley.edu
Brain-machine interfaces (BMI) enhance life for neurological patients, aiding spinal cord rehabilitation. This technology translates brain signals into actions, controlling devices and improving movement after injury.
Area of Science:
- Neuroscience and Biomedical Engineering
- Rehabilitation Technology
Background:
- Brain-machine interfaces (BMI) aim to improve quality of life for individuals with physical impairments.
- BMI technology is increasingly vital for neurological rehabilitation, particularly spinal cord injury recovery.
Purpose of the Study:
- To review current techniques in brain-machine interface research.
- To discuss the future potential of BMIs in restoring function after spinal cord injury.
Main Methods:
- Review of electroencephalography (EEG), electrocorticography (ECoG), magnetoencephalography (MEG), and chronic multielectrode recordings.
- Examination of transcranial magnetic stimulation (TMS) for noninvasive cortical modulation.
Main Results:
- Significant advancements in BMI research demonstrated control of external devices (robots, wheelchairs, cursors) by brain signals.
- Rodents, nonhuman primates, and humans have shown real-time control capabilities.
Conclusions:
- BMI technology holds significant promise for directing functional movement in humans.
- Future implications include enhanced recovery and improved function following spinal cord injuries.
More Related Videos
10:42Rodent Behavioral Testing to Assess Functional Deficits Caused by Microelectrode Implantation in the Rat Motor Cortex
Published on: August 18, 2018
13:56The Use of Magnetic Resonance Spectroscopy as a Tool for the Measurement of Bi-hemispheric Transcranial Electric Stimulation Effects on Primary Motor Cortex Metabolism
Published on: November 19, 2014
