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Related Experiment Video

Updated: Jul 24, 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

Predicting Executive Functioning from Brain Networks: Modality Specificity and Age Effects.

Marisa K Heckner^1,2, Edna C Cieslik^1,2, Lya K Paas Oliveros^1,2

¹Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.

Biorxiv : the Preprint Server for Biology

|July 10, 2023

Summary

This summary is machine-generated.

Brain structure and function changes with age, impacting executive functions (EF). This study found limited success in predicting individual EF from brain metrics like gray matter volume and functional connectivity in adults.

Keywords:

cognitive aging machine learning mental abilities multi-level resting-state fMRI predictive modelling structural MRI

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Last Updated: Jul 24, 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

Modeling the Functional Network for Spatial Navigation in the Human Brain

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Published on: October 13, 2023

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Published on: February 14, 2014

Area of Science:

Neuroscience
Cognitive Aging Research
Brain Imaging

Background:

Healthy aging involves brain structural and functional network changes.
These changes are linked to executive functioning (EF) decline.
Neural underpinnings of individual EF abilities remain unclear.

Conclusions:

Current brain metrics have limited potential as biomarkers for individual EF performance.
Regional GMV and fALFF show age-specific relevance for EF prediction.
Future research should explore global brain properties and adaptive testing for sensitive predictors.