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

Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

472
Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
472

You might also read

Related Articles

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

Sort by
Same author

Distinct motivational factors shape news-seeking in young adults.

Scientific reports·2026
Same author

Fixation-related potentials reveal that confusing program code elicits a late frontal positivity.

Scientific reports·2026
Same author

Retrieval processes reflect the representational format of memories acquired through fast mapping: ERP evidence for conceptual fluency-based familiarity.

Neuropsychologia·2026
Same author

Forgetting as a consequence of retrieval suppression: A meta-analytic review.

Journal of experimental psychology. General·2026
Same author

How the brain segments experience: ERP evidence of event boundaries enhancing memory formation in narratives.

Cognitive, affective & behavioral neuroscience·2026
Same author

A mega-analysis of EEG-based frontal-midline theta neurofeedback reveals learning dynamics, individual variability, and response profiles.

NeuroImage·2026
Same journal

Investigating the Neural Origins of Ear-EEG: A Correlation Study Using Scalp EEG Source Reconstruction.

NeuroImage·2026
Same journal

Hysteresis effects in visual and auditory perception and the comparison of underlying neural mechanisms - an EEG study.

NeuroImage·2026
Same journal

Short-term audio-tactile training affects cortical auditory speech-envelope tracking for incongruent but not congruent stimuli.

NeuroImage·2026
Same journal

Dissociable Neurocognitive Mechanisms of State and Trait Anxiety in Working Memory: Threat-Induced Alterations in Decision Dynamics and Attenuation of Large-Scale Network Reconfiguration.

NeuroImage·2026
Same journal

Neuro-Ocular Amyloid Characterization in Alzheimer's Disease via Cross-Site PET-MRI and Hierarchical Cross-Attention Driven Multimodal Representation Learning.

NeuroImage·2026
Same journal

Whole-brain network dynamics underlying intolerance of uncertainty.

NeuroImage·2026
See all related articles

Related Experiment Video

Updated: Dec 13, 2025

Combining Behavior and EEG to Study the Effects of Mindfulness Meditation on Episodic Memory
08:16

Combining Behavior and EEG to Study the Effects of Mindfulness Meditation on Episodic Memory

Published on: May 11, 2020

8.6K

Improving episodic memory: Frontal-midline theta neurofeedback training increases source memory performance.

Kathrin C J Eschmann1, Regine Bader2, Axel Mecklinger2

  • 1Experimental Neuropsychology Unit, Department of Psychology, Saarland University, Saarbrücken, Germany; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom.

Neuroimage
|August 5, 2020
PubMed
Summary
This summary is machine-generated.

Frontal-midline theta neurofeedback training (NFT) enhances memory retrieval, specifically source retrieval. This improvement in cognitive control processes was sustained over time and linked to more efficient brain activity.

Keywords:
Frontal-midline thetaMemory controlNeurofeedbackSource memory

More Related Videos

Transcranial Direct Current Stimulation tDCS for Memory Enhancement
10:37

Transcranial Direct Current Stimulation tDCS for Memory Enhancement

Published on: September 18, 2021

15.2K
A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
07:05

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Published on: August 24, 2017

11.4K

Related Experiment Videos

Last Updated: Dec 13, 2025

Combining Behavior and EEG to Study the Effects of Mindfulness Meditation on Episodic Memory
08:16

Combining Behavior and EEG to Study the Effects of Mindfulness Meditation on Episodic Memory

Published on: May 11, 2020

8.6K
Transcranial Direct Current Stimulation tDCS for Memory Enhancement
10:37

Transcranial Direct Current Stimulation tDCS for Memory Enhancement

Published on: September 18, 2021

15.2K
A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
07:05

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Published on: August 24, 2017

11.4K

Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Electroencephalography (EEG)

Background:

  • Frontal-midline (FM) theta activity (4-8 Hz) is linked to cognitive control.
  • Previous studies show NFT can alter FM theta and improve cognitive functions.
  • The role of FM theta in episodic memory, particularly source retrieval, needs further investigation.

Purpose of the Study:

  • To determine if FM theta neurofeedback training (NFT) improves source retrieval.
  • To examine if NFT modulates the underlying electroencephalogram (EEG) characteristics of source retrieval.
  • To assess the long-term effects of FM theta NFT on memory control processes over two posttests.

Main Methods:

  • Participants underwent seven NFT sessions, with a training group focusing on individual FM theta activity and a control group training random frequencies.
  • Source retrieval performance and EEG data were collected before, immediately after, and during two posttraining sessions.
  • Statistical analyses correlated NFT-induced theta changes with improvements in source retrieval and analyzed EEG patterns.

Main Results:

  • The FM theta NFT group showed significant increases in FM theta activity compared to the control group.
  • The training group demonstrated enhanced source retrieval performance, which persisted across posttraining sessions.
  • Improvements in source retrieval were predicted by the magnitude of NFT-induced theta increases, suggesting a direct transfer of training effects.
  • EEG analysis indicated that improved source retrieval was associated with reduced prestimulus FM theta activity, implying more efficient cognitive control.

Conclusions:

  • FM theta NFT effectively enhances memory control processes, specifically source retrieval.
  • The observed improvements in memory control are sustained over time and directly related to neurofeedback-induced changes in FM theta activity.
  • These findings suggest that targeting FM theta oscillations via NFT offers a promising avenue for improving episodic memory functions and potentially mitigating memory decline.