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

Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

1.8K
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
1.8K
Association Areas of the Cortex01:21

Association Areas of the Cortex

6.8K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
6.8K
Prosopagnosia01:24

Prosopagnosia

373
Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
373

You might also read

Related Articles

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

Sort by
Same author

Brain-Computer Interface Training Fosters Perceptual Skills to Detect Errors.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Decoding concept representations in aphasia after stroke.

bioRxiv : the preprint server for biology·2026
Same author

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

Life (Basel, Switzerland)·2026
Same author

An out-of-the-lab evaluation of dry EEG technology on a large-scale motor imagery brain-computer interface dataset.

Journal of neural engineering·2025
Same author

Establishing a continuum of cell types in the visual cortex.

bioRxiv : the preprint server for biology·2025
Same author

A Synthetic Phage-Peptide Conjugate as a Potent Antibacterial Agent for <i>Pseudomonas aeruginosa</i> Infections.

ACS central science·2025

Related Experiment Video

Updated: Oct 10, 2025

Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia
10:15

Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia

Published on: July 2, 2013

18.0K

Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition.

Gautam Krishna, Mason Carnahan, Shilpa Shamapant

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 11, 2021
    PubMed
    Summary

    This study introduces a deep learning algorithm using electroencephalography (EEG) to enhance automatic speech recognition (ASR) for individuals with aphasia, apraxia, and dysarthria. The novel approach significantly improves speech decoding performance, offering hope for advanced speech prosthetics.

    More Related Videos

    Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
    13:12

    Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

    Published on: August 12, 2019

    45.8K
    Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
    05:48

    Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

    Published on: August 9, 2024

    1.7K

    Related Experiment Videos

    Last Updated: Oct 10, 2025

    Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia
    10:15

    Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia

    Published on: July 2, 2013

    18.0K
    Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
    13:12

    Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

    Published on: August 12, 2019

    45.8K
    Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
    05:48

    Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

    Published on: August 9, 2024

    1.7K

    Area of Science:

    • Neuroscience
    • Computer Science
    • Biomedical Engineering

    Background:

    • Aphasia, apraxia, and dysarthria significantly impair communication.
    • Current automatic speech recognition (ASR) systems struggle with disordered speech.
    • Non-invasive neural signals offer a potential avenue for augmenting ASR.

    Purpose of the Study:

    • To develop and evaluate a deep learning algorithm integrating electroencephalography (EEG) features to improve ASR for speech disorders.
    • To assess the algorithm's effectiveness in both isolated and continuous speech recognition tasks.
    • To lay the groundwork for real-time, non-invasive speech prosthetic development for stroke survivors.

    Main Methods:

    • A deep learning algorithm was designed to process synchronous speech and EEG data.
    • The algorithm was trained and tested on a dataset of speech from individuals with aphasia, apraxia, and dysarthria.
    • Performance was evaluated on isolated and continuous speech recognition tasks, measuring decoding accuracy.

    Main Results:

    • A significant improvement of over 50% in decoding performance was achieved for isolated speech recognition.
    • Preliminary results indicate performance enhancements for the more complex continuous speech recognition task.
    • The study demonstrates the feasibility of using non-invasive neural signals to improve ASR for speech impairments.

    Conclusions:

    • The proposed deep learning algorithm effectively utilizes EEG features to enhance ASR for aphasia, apraxia, and dysarthria.
    • This research represents a crucial step towards developing robust, real-time speech prosthetics for neurological conditions.
    • The publicly released speech-EEG dataset will facilitate further research in this vital area.