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Prediction of Verbal Abilities From Brain Connectivity Data Across the Lifespan Using a Machine Lear...

Prediction of Verbal Abilities From Brain Connectivity Data Across the Lifespan Using a Machine Lear...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11933761

Prediction of Verbal Abilities From Brain Connectivity Data Across the Lifespan Using a Machine Learning Approach

About this item

Full title

Prediction of Verbal Abilities From Brain Connectivity Data Across the Lifespan Using a Machine Learning Approach

Publisher

United States: John Wiley & Sons, Inc

Journal title

Human brain mapping, 2025-04, Vol.46 (5), p.e70191

Language

English

Formats

Publication information

Publisher

United States: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Compared to nonverbal cognition such as executive or memory functions, language-related cognition generally appears to remain more stable until later in life. Nevertheless, different language-related processes, for example, verbal fluency versus vocabulary knowledge, appear to show different trajectories across the life span. One potential explanat...

Alternative Titles

Full title

Prediction of Verbal Abilities From Brain Connectivity Data Across the Lifespan Using a Machine Learning Approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11933761

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11933761

Other Identifiers

ISSN

1065-9471,1097-0193

E-ISSN

1097-0193

DOI

10.1002/hbm.70191

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