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

You might also read

Related Articles

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

Sort by
Same author

Rehospitalization Burden Profiles After Traumatic Spinal Cord Injury: A Data-Driven Latent Class Analysis of the SCIMS Public-Use Database.

Journal of clinical medicine·2026
Same author

Neurogenic Pelvic Floor Dysfunctions Across Neurological Disorders: Mechanisms, Phenotypes, and Precision Rehabilitation Pathways-A Narrative Review.

Journal of clinical medicine·2026
Same author

Muscle and mind: rewiring cognitive-motor recovery through exercise-responsive neurophysiology in neurological populations.

Frontiers in psychology·2026
Same author

Multimodal rehabilitation in PLP1-associated spastic paraparesis: a case report with clinical and biomechanical outcomes.

Frontiers in rehabilitation sciences·2026
Same author

Safety Profile of Zavegepant in the Treatment of Acute Migraine: Insights from the FDA Adverse Event Monitoring System Database.

Pharmaceuticals (Basel, Switzerland)·2026
Same author

High-density EEG network analysis in MCI: an exploratory study of electrode density and cognitive performance.

Frontiers in aging neuroscience·2026

Related Experiment Video

Updated: May 10, 2026

Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography (dEEG)
12:48

Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography (dEEG)

Published on: June 27, 2011

Neural activations during visual sequence learning leave a trace in post-training spontaneous EEG.

Clara Moisello1, Hadj Boumediene Meziane, Simon Kelly

  • 1Department of Physiology, Pharmacology and Neuroscience, City University of New York Medical School, New York, New York, United States of America.

Plos One
|June 27, 2013
PubMed
Summary

Declarative learning alters brain activity, leaving a lasting trace. High-density EEG revealed changes in alpha and theta brain waves during and after a visual sequence learning task.

More Related Videos

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging
10:48

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging

Published on: June 3, 2013

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

Related Experiment Videos

Last Updated: May 10, 2026

Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography (dEEG)
12:48

Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography (dEEG)

Published on: June 27, 2011

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging
10:48

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging

Published on: June 3, 2013

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Electrophysiology

Background:

  • Implicit learning creates enduring local traces in cortical circuits, shown by spectral power changes.
  • Declarative learning's impact on resting-state brain activity post-task remains less understood.

Purpose of the Study:

  • To investigate if declarative learning induces local changes in resting-state oscillatory activity.
  • To identify specific brain regions and frequency bands affected by declarative learning.

Main Methods:

  • High-density electroencephalography (hd-EEG) recorded from subjects before, during, and after a visual sequence learning task (VSEQ) and a control task (VRAN).
  • Analysis focused on temporal evolution of spectral changes and resting-state oscillatory activity post-learning.

Main Results:

  • Significant differences in alpha and theta bands were observed in right occipito-parietal (ROP), anterior-frontal (AFr), and right frontal (RFr) regions.
  • Frontal theta power changes during VSEQ correlated positively with learning rate.
  • Post-learning resting-state EEG showed increased alpha power in the ROP region.

Conclusions:

  • Declarative learning is associated with task-related alpha and theta changes in frontal and posterior brain regions.
  • An increase in occipito-parietal alpha power post-task may signify a learning trace.
  • These findings suggest use-dependent plasticity underlies declarative learning.