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 Experiment Videos

Automatic enhancement of single evoked potentials.

D Krieger, W Larimore

    Electroencephalography and Clinical Neurophysiology
    |December 1, 1986
    PubMed
    Summary

    A novel signal enhancement technique effectively reduced background noise in electroencephalography (EEG) data during reaction time tasks. This method improved signal clarity, aiding in the analysis of brain activity and reaction time correlations.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same author

    Thrombolysis and thrombectomy in patients treated with dabigatran with acute ischemic stroke: Expert opinion.

    International journal of stroke : official journal of the International Stroke Society·2016
    Same author

    Spatio-temporal cortical patterns evoked in monkeys by a discrimination task.

    Journal of cognitive neuroscience·2013
    Same author

    Impairment of memory and affect in a patient with reversible bilateral thalamic lesions due to internal cerebral vein thrombosis.

    Restorative neurology and neuroscience·2011
    Same author

    Discussion of mitchell JB, Ballard DJ, whisnant JP, et al. What role do neurologists play in determining the costs and outcome of stroke patients? Stroke 1996;27:1937-1943.

    Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association·2007
    Same author

    An acute clinical trial evaluating the cardiovascular effects of an herbal ephedra-caffeine weight loss product in healthy overweight adults.

    International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity·2002
    Same author

    Real-time intraoperative neurophysiological monitoring.

    Methods (San Diego, Calif.)·2002

    Area of Science:

    • Neuroscience
    • Signal Processing

    Background:

    • Electroencephalography (EEG) is crucial for studying brain activity.
    • Reaction time tasks are used to assess cognitive and motor functions.
    • Background noise in EEG data can obscure important physiological signals.

    Purpose of the Study:

    • To evaluate a signal enhancement technique for EEG data acquired during reaction time tasks.
    • To determine if the technique reduces background activity while preserving significant neural information.
    • To investigate correlations between reaction time and evoked potential peak latency.

    Main Methods:

    • EEG data were collected during simple (sRT) and choice (cRT) reaction time tasks.
    • A canonical variate analysis (CVA) system identification technique was used to create a filter from pre-stimulus epochs.
    • The CVA filter was applied to post-stimulus epochs to remove background activity.
    • Single evoked potentials (sEPs) were extracted and analyzed for a negative peak around 200 msec latency.

    Main Results:

    • The signal enhancement technique substantially reduced background activity in EEG.
    • Comparison of ensemble averages showed improved signal-to-noise ratio for CVA-enhanced responses.
    • Significant correlations between reaction time and peak latency were found at specific EEG electrode placements (e.g., C4, P3, C3, T5).
    • Correlations varied based on task type (sRT vs. cRT) and hand dominance.

    Conclusions:

    • The tested signal enhancement technique is effective for EEG analysis during reaction time tasks.
    • The method successfully isolates physiologically significant neural information from background noise.
    • The findings suggest task- and participant-specific patterns in the relationship between reaction time and neural processing latency.

    Related Experiment Videos