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

Individual heterogeneity in neuroimaging markers of functional outcomes in patients with acute ischaemic stroke.

Stroke and vascular neurology·2026
Same author

Elucidating soil dissolved organic nitrogen mineralization across soil depths under contrasting fertilizer-application intensities using FT-ICR MS and a two-component model.

Journal of hazardous materials·2026
Same author

Region-specific vulnerability to vascular risk factors and modifiable protective influences on white matter hyperintensities.

Communications medicine·2026
Same author

Pedestrian navigation activity recognition method based on two-stream transformer and contrastive learning.

iScience·2026
Same author

Decoupling MCI-specific signatures from shared neurobiological substrates of cognitive aging via deep learning.

NPJ digital medicine·2026
Same author

Alexithymia and self-harm in depressed adolescents: the mediating role of resting-state functional connectivity of the ventral hippocampal-fusiform gyrus.

Annals of general psychiatry·2026

Related Experiment Video

Updated: May 2, 2026

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions
07:30

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions

Published on: April 23, 2021

2.6K

Evaluating Cognitive Function and Brain Activity Patterns via Blood Oxygen Level-Dependent Transformer in N-Back

Zhenming Zhang1, Yaojing Chen2, Aidong Men1

  • 1School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Brain Sciences
|March 28, 2025
PubMed
Summary
This summary is machine-generated.

This study used a novel transformer model to analyze brain activity during working memory tasks, revealing adaptive brain strategies for varying cognitive demands. The findings offer new insights into cognitive neuroscience and brain function.

Keywords:
BolTN-backbrain activation patterncognition processworking memory

More Related Videos

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
07:42

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Published on: December 16, 2022

3.1K
Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

670

Related Experiment Videos

Last Updated: May 2, 2026

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions
07:30

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions

Published on: April 23, 2021

2.6K
Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
07:42

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Published on: December 16, 2022

3.1K
Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

670

Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Artificial Intelligence

Background:

  • Working memory is crucial for cognitive functions like attention and information processing.
  • Neuroscience research extensively studies working memory using techniques like functional magnetic resonance imaging (fMRI).
  • Understanding brain activation patterns during working memory tasks is essential for cognitive neuroscience.

Purpose of the Study:

  • To evaluate brain activation patterns during an N-back working memory task with varying cognitive demands using fMRI data.
  • To introduce and apply a novel transformer model, BolT, for analyzing fMRI time-series data.
  • To identify influential brain regions and their impact on working memory tasks.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used to collect brain activity data during a working memory task.
  • A novel transformer model, blood oxygen level-dependent transformer (BolT), was employed to extract activation features.
  • Influence weights of regions of interest (ROIs) on tasks were calculated to identify key brain areas.

Main Results:

  • The study identified major brain regions involved in working memory, with findings comparable to previous research but offering more precise analysis.
  • Top influential ROIs were identified for different working memory task types.
  • The impact of prior knowledge on task performance across different conditions was explored.

Conclusions:

  • Brain activation patterns demonstrate adaptive strategies for managing varying cognitive demands.
  • The findings highlight the brain's capacity for stability optimization in cognitive processing.
  • The study underscores the potential of transformer models in advancing cognitive neuroscience research and understanding brain function.