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 Experiment Videos

Neural mechanisms underlying probabilistic category learning in normal aging.

Francesco Fera1, Thomas W Weickert, Terry E Goldberg

  • 1Clinical Brain Disorders Branch, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892, USA.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|December 13, 2005
PubMed
Summary

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

Association of GBA1 status and sex with depression severity and progression in Parkinson's disease.

NPJ Parkinson's disease·2026
Same author

Exploring the relationship between retinal damage and cognition in multiple sclerosis: a cross-sectional OCT-MRI study.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology·2026
Same author

The frequency of negative automatic thoughts may predict near-term suicide attempt in high-risk patients.

Journal of psychiatric research·2026
Same author

From mild cognitive impairment to normal cognition in Parkinson's disease: The role of brain network architecture.

Neurobiology of disease·2026
Same author

Refining neuropsychological assessment strategies in multiple sclerosis: insights from long-term cognitive trajectories.

Journal of neurology·2026
Same author

The Relevance of Crystal Clear and Unclear Days to Evaluate Residual Interictal Burden in Patients With Migraine Treated With CGRP Monoclonal Antibodies.

European journal of neurology·2026
This summary is machine-generated.

Older adults show similar learning to younger adults but with less prefrontal cortex and caudate nucleus activation. Parietal cortex activation may compensate for age-related neural changes during probabilistic category learning.

Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Gerontology

Background:

  • Probabilistic category learning involves the prefrontal cortex and caudate nucleus.
  • These brain regions undergo significant changes with normal aging.
  • The specific roles of these regions in aging and category learning are unclear.

Purpose of the Study:

  • To investigate the effects of normal aging on neural circuitry during probabilistic category learning.
  • To compare brain activation patterns between young and older adults on the weather prediction task.
  • To explore potential compensatory mechanisms in older adults.

Main Methods:

  • Used functional magnetic resonance imaging (fMRI) with a block design.
  • Assessed 18 healthy young adults and 15 healthy older adults on a probabilistic category learning task.

Related Experiment Videos

  • Analyzed whole-brain fMRI data using Statistical Parametric Mapping (SPM99).
  • Main Results:

    • Young and older adults demonstrated equivalent learning curves and strategies.
    • Both groups activated similar neural networks, including prefrontal, parietal, and caudate regions.
    • Older adults showed reduced activation in the caudate and prefrontal cortex but increased activation in the parietal cortex compared to young adults.

    Conclusions:

    • Despite equivalent learning, older adults exhibit differential brain activation patterns.
    • Reduced prefrontal and caudate activation in older adults may be compensated by increased parietal activation.
    • The parietal cortex might play a compensatory role in probabilistic category learning for healthy older adults.