Subcortical Shape Variations and Their Associations with Cognition Across the 8th Decade of Life. A Study in the Lothian Birth Cohort 1936

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Valdes-Hernandez, Maria del C., Park, Wonjung, Moodie, Joanna, Maniega, Susana Muñoz, Corley, Janie, Sneden, Fraser N., Bastin, Mark E., Wardlaw, Joanna M., Cox, Simon R., Park, Jinah
Natura: Preprint
Pubblicazione: 2026
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866917543403323392
author Valdes-Hernandez, Maria del C.
Park, Wonjung
Moodie, Joanna
Maniega, Susana Muñoz
Corley, Janie
Sneden, Fraser N.
Bastin, Mark E.
Wardlaw, Joanna M.
Cox, Simon R.
Park, Jinah
author_facet Valdes-Hernandez, Maria del C.
Park, Wonjung
Moodie, Joanna
Maniega, Susana Muñoz
Corley, Janie
Sneden, Fraser N.
Bastin, Mark E.
Wardlaw, Joanna M.
Cox, Simon R.
Park, Jinah
contents The study of brain morphology changes in normal individuals may capture aspects of functionally-relevant brain aging not fully indicated by gross volumetry. Despite the important role of subcortical brain structures in cognition, the associations between their morphological trajectories and cognitive changes in aging have not been documented. We use neuroimaging, demographic, and cognitive data from a large longitudinal study of cognitive aging, the Lothian Birth Cohort 1936, to explore shape changes in subcortical brain structures of community-dwelling individuals across their 8th decade of life. We investigate the association of these changes with cognitive aging using ANCOVA and mixed linear model analyses. Subcortical shape changes were heterogeneous, with varied atrophy patterns across whole period. The hippocampus and the ventral DC experienced varied morphological deformations (from its baseline point) different in left and right hemispheres, while the thalami and globus pallidi shapes, for example, experienced a more uniform volume contraction, nearly symmetrical throughout different timelines. Changes in general cognition were mainly associated with inwards and outwards vertex displacements between the time-points.
format Preprint
id arxiv_https___arxiv_org_abs_2605_29703
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Subcortical Shape Variations and Their Associations with Cognition Across the 8th Decade of Life. A Study in the Lothian Birth Cohort 1936
Valdes-Hernandez, Maria del C.
Park, Wonjung
Moodie, Joanna
Maniega, Susana Muñoz
Corley, Janie
Sneden, Fraser N.
Bastin, Mark E.
Wardlaw, Joanna M.
Cox, Simon R.
Park, Jinah
Neurons and Cognition
Computer Vision and Pattern Recognition
Tissues and Organs
The study of brain morphology changes in normal individuals may capture aspects of functionally-relevant brain aging not fully indicated by gross volumetry. Despite the important role of subcortical brain structures in cognition, the associations between their morphological trajectories and cognitive changes in aging have not been documented. We use neuroimaging, demographic, and cognitive data from a large longitudinal study of cognitive aging, the Lothian Birth Cohort 1936, to explore shape changes in subcortical brain structures of community-dwelling individuals across their 8th decade of life. We investigate the association of these changes with cognitive aging using ANCOVA and mixed linear model analyses. Subcortical shape changes were heterogeneous, with varied atrophy patterns across whole period. The hippocampus and the ventral DC experienced varied morphological deformations (from its baseline point) different in left and right hemispheres, while the thalami and globus pallidi shapes, for example, experienced a more uniform volume contraction, nearly symmetrical throughout different timelines. Changes in general cognition were mainly associated with inwards and outwards vertex displacements between the time-points.
title Subcortical Shape Variations and Their Associations with Cognition Across the 8th Decade of Life. A Study in the Lothian Birth Cohort 1936
topic Neurons and Cognition
Computer Vision and Pattern Recognition
Tissues and Organs
url https://arxiv.org/abs/2605.29703