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Related Experiment Video

Updated: Aug 9, 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

Brain-age prediction: A systematic comparison of machine learning workflows.

Shammi More¹, Georgios Antonopoulos¹, Felix Hoffstaedter¹

¹Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.

|February 21, 2023

Summary

Brain-age delta from brain scans estimates atypical aging. Performance varies by data representation and machine learning, impacting real-world use and disease detection. Further research is needed for reliable application.

Failed At:

2026-06-19T13:40:00.843009+00:00

Keywords:

Brain-age estimation Healthy aging Machine learning Regression analysis

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