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Related Experiment Video

Updated: Aug 22, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

Structural and Functional MRI Data Differentially Predict Chronological Age and Behavioral Memory Performance.

Joram Soch^1,2, Anni Richter³, Jasmin M Kizilirmak⁴

¹German Center for Neurodegenerative Diseases (DZNE), 37075 Göttingen, Germany joram.soch@dzne.de bschott@lin-magdeburg.de.

|November 14, 2022

Summary

This summary is machine-generated.

Older adults with preserved memory function may use efficient brain networks, not just better brain structure. This study explored neuroimaging predictors of aging and memory performance.

Keywords:

brain maintenance cognitive reserve fMRI activity gray matter volume subsequent memory successful aging

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Last Updated: Aug 22, 2025

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Published on: October 13, 2016

Area of Science:

Neuroscience
Cognitive Aging
Neuroimaging

Background:

Cognitive decline, particularly in explicit memory, is common with aging.
Some older adults exhibit 'successful aging' with preserved cognitive function.
Explanations include structural integrity, efficient resource recruitment, or compensatory strategies.

Purpose of the Study:

To investigate whether preserved cognitive function in aging is linked to brain structural integrity or efficient neural network recruitment.
To identify neuroimaging predictors of chronological age and memory performance.

Main Methods:

Utilized support vector machine (SVM) classification and regression on two samples (young N=106, older N=153).
Assessed variables including behavioral data, functional magnetic resonance imaging (fMRI) scores for memory networks, novelty processing, resting-state fMRI, and gray matter volume.
Predicted chronological age and memory performance from these neuroimaging and behavioral variables.

Main Results:

Age group was decodable from all tested variables.
Gray matter volume best predicted chronological age within age groups.
Memory performance was best predicted by task-based fMRI contrasts and specific fMRI scores, not gray matter volume.

Conclusions:

Superior memory performance in healthy older adults is associated with efficient recruitment of memory networks.
Preserved brain structure is less critical for maintaining memory performance than neural efficiency in aging.