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

Task-induced topological and geometrical changes in whole-brain dynamics predict cognitive individual differences.

bioRxiv : the preprint server for biology·2026
Same author

Distributed cortical network dynamics of binocular convergent eye movements in humans.

Network neuroscience (Cambridge, Mass.)·2026
Same author

Hierarchical Bayesian Regression for experimental psychology: a case study of cognitive control.

Frontiers in psychology·2026
Same author

Symbolic fractions have greater neural representational similarity with discretized than continuous nonsymbolic proportional reasoning.

Neuropsychologia·2026
Same author

Geometry of neural dynamics along the cortical attractor landscape reflects changes in attention.

Nature communications·2026
Same author

The Trials and Aspirations of an Early Career Researcher Advisory Board.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2025
Same journal

Spatial frequency channels implement a mental ruler in spatial vision.

NeuroImage·2026
Same journal

Exploring the Link Between Intravoxel Incoherent Motion Measured Brain Diffusivity During Wakefulness and Sleep Macrostructure in the Elderly.

NeuroImage·2026
Same journal

Closed-loop adaptation of transcranial magnetic stimulation intensity with electroencephalography feedback.

NeuroImage·2026
Same journal

Volumetric postmortem MRI of the medial temporal lobe in Alzheimer's disease and related disorders: methodological advances and implications for in vivo biomarker development.

NeuroImage·2026
Same journal

Neural responses to equity and inequity when receiving vicarious rewards for self and charity during adolescence.

NeuroImage·2026
Same journal

Cognitive Strategy-based neuromodulation optimizes neural communication to improve working memory.

NeuroImage·2026
See all related articles

Related Experiment Video

Updated: Dec 27, 2025

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
07:01

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Published on: September 20, 2020

5.1K

Exploring brain-behavior relationships in the N-back task.

Bidhan Lamichhane1, Andrew Westbrook2, Michael W Cole3

  • 1Department of Psychological and Brain Sciences, Washington University in Saint Louis, 1 Brookings Drive, Saint Louis, MO, 63130, USA.

Neuroimage
|March 2, 2020
PubMed
Summary
This summary is machine-generated.

The linear relationship between brain activity and working memory load, not the inverted-U pattern, predicts individual differences in task accuracy. High-load conditions are crucial for understanding these working memory variations.

Keywords:
Default mode networkDorsolateral prefrontal cortexFrontal-parietal networkN-backSalience networkWorking memory

More Related Videos

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis
10:33

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Published on: June 20, 2012

13.2K
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.6K

Related Experiment Videos

Last Updated: Dec 27, 2025

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
07:01

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Published on: September 20, 2020

5.1K
Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis
10:33

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Published on: June 20, 2012

13.2K
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.6K

Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Human Brain Function

Background:

  • Working memory (WM) research traditionally examines within-individual load effects and between-individual differences.
  • The N-back task is commonly used in neuroimaging to study WM, often revealing inverted-U patterns in frontoparietal activation.
  • It remains unclear if these U-shaped patterns predict individual differences in task performance.

Purpose of the Study:

  • To investigate whether U-shaped activation patterns or linear activity slopes predict individual differences in working memory task performance.
  • To explore brain-behavior relationships across a wider range of working memory loads than previously studied.
  • To determine the role of specific left lateral prefrontal cortex (LPFC) activity patterns and connectivity in individual WM differences.

Main Methods:

  • Manipulated working memory load across a broad range (N=1-6) in healthy young adults (n=57).
  • Focused analysis on a specific left lateral prefrontal cortex (LPFC) region known for its role in WM.
  • Examined the relationship between load-related brain activity patterns (linear slope vs. inverted-U) and individual differences in target accuracy.

Main Results:

  • The linear slope of load-related activity in the LPFC, not the inverted-U pattern, positively correlated with individual differences in target accuracy.
  • Brain-wide analyses confirmed the selectivity of this linear pattern.
  • Global resting-state connectivity of the LPFC also independently predicted target accuracy, particularly in high-load conditions.

Conclusions:

  • Linear activity slopes in response to working memory load, especially under high-load conditions, are key predictors of individual differences in performance.
  • High-load working memory tasks are essential for uncovering individual variations in cognitive function.
  • Resting-state connectivity of the LPFC provides additional insights into individual working memory capacity.