A Brief Digital Neuropsychological Protocol: III ‐ Using Artificial Intelligence to Measure Semantic Memory with the ‘Animal’ Fluency Test

David J. Libon, Rodney Swenson, Sean Tobyne, Catherine C. Price, Melissa Lamar, Stephanie Cosentino, Russell Banks, Ali Jannati, John Showalter, David Bates, Alvaro Pascual‐Leone · 2025

Read A Brief Digital Neuropsychological Protocol: III ‐ Using Artificial Intelligence to Measure Semantic Memory with the ‘Animal’ Fluency Test by David J. Libon, Rodney Swenson, Sean Tobyne, Catherine C. Price, Melissa Lamar, Stephanie Cosentino, Russell Banks, Ali Jannati, John Showalter, David Bates, Alvaro Pascual‐Leone (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11711966.txt.

Description

David Libon and a large team of co-authors use artificial intelligence to score a word fluency test of semantic memory, in a study from 2025. Naming animals for one minute is a classic clinic task. Beyond the raw count, the links between one animal and the next carry information about how a person's store of knowledge is holding up.

Memory clinic patients took a short digital test battery. Clustering sorted them into normal, two forms of mild impairment, and dementia groups. Software measured the strength of association between successive animal names. Those scores were compared with a six word list learning test of memory. The authors aim to show that machine scoring of a one minute task can sharpen the sorting of memory disorders.

Catalog record

CREATORDavid J. Libon, Rodney Swenson, Sean Tobyne, Catherine C. Price, Melissa Lamar, Stephanie Cosentino, Russell Banks, Ali Jannati, John Showalter, David Bates, Alvaro Pascual‐Leone
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE3 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC11711966

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