Computational analysis on verbal fluency reveals heterogeneity in subjective language interests and brain structure.

Healthy Cohort LSA Language SyNoPsis VBM computational analysis psychosis

Journal

Neuroimage. Reports
ISSN: 2666-9560
Titre abrégé: Neuroimage Rep
Pays: Netherlands
ID NLM: 9918227365206676

Informations de publication

Date de publication:
Mar 2023
Historique:
medline: 1 3 2023
pubmed: 1 3 2023
entrez: 12 4 2024
Statut: ppublish

Résumé

Language is an essential higher cognitive function in humans and is often affected by psychiatric and neurological disorders. Objective measures like the verbal fluency test are often used to determine language dysfunction. Recent applications of computational approaches broaden insights into language-related functions. In addition, individuals diagnosed with a psychiatric or neurological disorder also often report subjective difficulties in language-related functions. Therefore, we investigated the association between objective and subjective measures of language functioning, on the one hand, and inter-individual structural variations in language-related brain areas, on the other hand. We performed a Latent Semantic analysis (LSA) on a semantic verbal fluency task in 101 healthy adult participants. To investigate if these objective measures are associated with a subjective one, we examined assessed subjective natural tendency of interest in language-related activity with a study-specific questionnaire. Lastly, a voxel-based brain morphometry (VBM) was conducted to reveal associations between objective (LSA) measures and structural changes in language-related brain areas. We found a positive correlation between the LSA measure cosine similarity and the subjective interest in language. Furthermore, we found that higher cosine similarity corresponds to higher gray matter volume in the right cerebellum. The results suggest that people with higher interests in language access semantic knowledge in a more organized way exhibited by higher cosine similarity and have larger grey matter volume in the right cerebellum, when compared to people with lower interests. In conclusion, we demonstrate that there is inter-individual diverseness of accessing the semantic knowledge space and that it is associated with subjective language interests as well as structural differences in the right cerebellum.

Identifiants

pubmed: 38606311
doi: 10.1016/j.ynirp.2023.100159
pmc: PMC7615821
pii:
doi:

Types de publication

Journal Article

Langues

eng

Déclaration de conflit d'intérêts

8 Conflict of Interest We, the authors, have no conflict of Interest to declare.

Auteurs

Francilia Zengaffinen (F)

Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland.

Antje Stahnke (A)

Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland.

Stephan Furger (S)

Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland.

Roland Wiest (R)

University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland.

Thomas Dierks (T)

Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland.

Werner Strik (W)

Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland.

Yosuke Morishima (Y)

Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland.

Classifications MeSH