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

Functional Brain Systems: Limbic System01:15

Functional Brain Systems: Limbic System

8.8K
The limbic system, often called the "emotional brain," is a complex set of structures located deep within the brain. The intricate network of the limbic system supports a wide range of psychological functions, from emotional regulation to memory formation and sensory processing. This functional brain region encompasses specific parts of the diencephalon and the cerebrum, integrating the higher mental functions of the cerebral cortex with the primitive emotional responses of the deep brain...
8.8K
Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

5.6K
The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...
5.6K
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

2.2K
Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
2.2K
Neuroplasticity01:01

Neuroplasticity

2.6K
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
2.6K
Observational Learning01:12

Observational Learning

1.5K
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
1.5K
Working Memory01:24

Working Memory

1.3K
Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
1.3K

You might also read

Related Articles

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

Sort by
Same author

From gradients to cognition: linking cortical manifolds to brain flexibility and disorder.

Frontiers in cognition·2026
Same author

Managing Gaze Competition during Simultaneous Manual Action Control and Environment Monitoring.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same author

Dynamic compression of whole-brain neural trajectories during human motor learning.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Rapid responses to reach errors are equally strong during fixation and visual pursuit.

Journal of neurophysiology·2026
Same author

Brain connectivity signatures of cognitive impairment in temporal lobe epilepsy identified by robotic assessment.

Neuroimage. Reports·2026
Same author

Manifold Interactions between the Action-Mode Network and Sensorimotor Cortex during Human Motor Learning.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Cortical similarity networks in the rat brain: Postnatal development and sensitivity to early life stress.

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

Increased sensitivity in identifying language-related functional connectivity using jackknife resampling analyses.

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

Phase-dependent stimulation response is shaped by the brain's dynamic functional connectivity.

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

Restoring oscillatory dynamics in Alzheimer's disease: A laminar whole-brain model of serotonergic psychedelic effects.

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

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

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

High-resolution Bayesian Virtual Epileptic Patient using neural field models.

Network neuroscience (Cambridge, Mass.)·2026
See all related articles

Related Experiment Video

Updated: May 4, 2026

Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice
06:04

Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice

Published on: March 4, 2014

20.9K

Whole-brain modular dynamics at rest predict sensorimotor learning performance.

Dominic I Standage1,2, Daniel J Gale2, Joseph Y Nashed2

  • 1Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Canada.

Network Neuroscience (Cambridge, Mass.)
|June 9, 2025
PubMed
Summary
This summary is machine-generated.

Brain network modularity predicts learning performance. Dynamic coordination and integration of brain networks during a task are key indicators of cognitive ability and potential clinical markers.

Keywords:
CognitionDynamic modularityPredictive markersResting-state fMRISensorimotor learning

More Related Videos

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
11:31

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Published on: December 5, 2014

15.1K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.5K

Related Experiment Videos

Last Updated: May 4, 2026

Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice
06:04

Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice

Published on: March 4, 2014

20.9K
Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
11:31

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Published on: December 5, 2014

15.1K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.5K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Systems Neuroscience

Background:

  • Neural measures predicting cognitive performance offer insights into cognitive mechanisms and neuropathologies.
  • Whole-brain functional network modularity is a promising marker due to theoretical foundations and clinical outcome prediction success.

Purpose of the Study:

  • To investigate whole-brain functional network modularity and its spatiotemporal dynamics before and after a sensorimotor learning task.
  • To identify network-based markers of cognitive performance and learning.

Main Methods:

  • Used functional magnetic resonance imaging (fMRI) to identify whole-brain modules at rest.
  • Calculated spatiotemporal dynamics of modularity before and after a sensorimotor learning task.
  • Correlated learning performance with network reconfiguration coordination and integration strength.

Main Results:

  • Participants' learning performance was predicted by the coordination of modular reconfiguration.
  • The strength of network recruitment and integration during the task also predicted learning.
  • Dynamic network properties are linked to cognitive strategy in sensorimotor learning.

Conclusions:

  • Whole-brain network metrics, specifically modular reconfiguration and integration, serve as promising markers for cognition.
  • These findings have relevance for basic neuroscience research and potential clinical applications in diagnosing cognitive impairments.
  • Dynamic functional network analysis provides valuable insights into the neural basis of learning and cognitive function.