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

Long-term Potentiation01:35

Long-term Potentiation

55.0K
Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
55.0K

You might also read

Related Articles

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

Sort by
Same author

Optimal positioning and size of high-density electrocorticography grids for speech brain-computer interfaces.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
Same author

Temporal responses in sensorimotor cortex during hand movements.

PloS one·2026
Same author

Stable speech BCI performance during slow progression of ALS: A longitudinal ECoG study.

Research square·2026
Same author

Implanted brain-computer interface functionality during nighttime in late-stage amyotrophic lateral sclerosis.

Scientific reports·2026
Same author

Optimal location for gesture decoding in the sensorimotor cortex and implications for brain-computer interface research.

NeuroImage·2026
Same author

Across-speaker articulatory reconstruction from sensorimotor cortex for generalizable brain-computer interfaces.

Journal of neural engineering·2026

Related Experiment Video

Updated: Jun 17, 2025

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

289

Longevity of a Brain-Computer Interface for Amyotrophic Lateral Sclerosis.

Mariska J Vansteensel1, Sacha Leinders1, Mariana P Branco1

  • 1From the Department of Neurology and Neurosurgery, Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands (M.J.V., S.L., M.P.B., Z.V.F., S.H.G., P.H.G., M.R., A.S., M.V., E.J.A., N.F.R.); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (N.E.C.); and the Institute of Biomedical Engineering and the Department of Engineering Science, University of Oxford, Oxford, United Kingdom (T.D.).

The New England Journal of Medicine
|August 14, 2024
PubMed
Summary
This summary is machine-generated.

This study tracked a brain-computer interface (BCI) for communication in amyotrophic lateral sclerosis (ALS) over 7 years. Ultimately, neurodegeneration caused BCI signal decline and ineffectiveness, despite initial success.

More Related Videos

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
09:42

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Published on: September 1, 2023

1.2K
Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis
07:00

Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis

Published on: October 13, 2016

8.1K

Related Experiment Videos

Last Updated: Jun 17, 2025

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

289
Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
09:42

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Published on: September 1, 2023

1.2K
Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis
07:00

Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis

Published on: October 13, 2016

8.1K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Neurology

Background:

  • The long-term efficacy of brain-computer interfaces (BCIs) for communication in individuals with progressive neurodegenerative diseases remains under-explored.
  • Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that severely impacts motor control and communication abilities.

Purpose of the Study:

  • To evaluate the durability and long-term performance of an implanted BCI for communication in a patient with advanced ALS over a 7-year period.
  • To investigate the factors contributing to the eventual decline in BCI effectiveness in the context of progressive neurodegeneration.

Main Methods:

  • Longitudinal case study reporting on 7 years of independent at-home use of an implanted BCI for communication.
  • Monitoring of BCI usage frequency, patient's functional status (eye-gaze tracking), and neural signal amplitude.
  • Computed tomographic (CT) imaging to assess brain structure and neurodegeneration.

Main Results:

  • Initial increase in BCI usage frequency over the first 6 years, compensating for loss of eye-gaze control.
  • A subsequent progressive decrease in BCI use starting around year 6, leading to cessation due to unreliability.
  • No technical malfunctions identified; observed decline attributed to reduced neural signal amplitude and progressive cerebral atrophy linked to ALS.

Conclusions:

  • An implanted BCI can provide sustained communication for individuals with ALS for several years.
  • Progressive neurodegeneration, specifically reduced neural signal amplitude and brain atrophy, can ultimately limit BCI effectiveness.
  • Long-term BCI performance is influenced by the underlying disease progression, necessitating ongoing monitoring and potential adaptation strategies.