Multiple brain activation patterns underlying successful visual short-term memory across the adult lifespan

Cognitive task performance can be supported through multiple brain activation patterns, a concept referred to as brain degeneracy. We used a novel approach to consider brain degeneracy during a visual short-term memory task (VSTM) across the adult lifespan in the cross-sectional Cam-CAN study (n = 113, 23-87 years old). Our main goal was to identify subgroups of participants whose VSTM performance was characterized by distinct brain activation patterns. First, we identified seven brain modules that responded similarly to the VSTM task across participants, and resembled previously identified functional networks. Subsequently, latent profile analysis revealed four distinct subgroups of participants. Each subgroup was characterized by different recruitment patterns of these modules, predominantly in the frontal control module (FCM), visual module, dorsal attention module, and default mode module. Subgroups did not differ in demographics or task performance. However, associations between brain activity and performance varied across subgroups, particularly in the FCM, suggesting that individuals may use different cognitive operations to perform the VSTM task. Further analyses revealed group differences in white matter integrity, mostly in the uncinate fasciculus, suggesting that individual differences in structural brain properties may shape the different brain activation patterns. Altogether, our study contributes to our understanding of how multiple brain activation patterns could underlie cognitive performance.

Authors

Institutions

Publication Details

Journal
Imaging Neuroscience
Published
2025-12-05
DOI
https://doi.org/10.1162/imag.a.1074
Primary Topic
Neural and Behavioral Psychology Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multiple brain activation patterns underlying successful visual short-term memory across the adult lifespan

Joukje M. Oosterman, Fernando Martínez de Juan, Alireza Salami, Michelle G. Jansen et al.
Imaging Neuroscience
Neural and Behavioral Psychology Studies
article

Multiple brain activation patterns underlying successful visual short-term memory across the adult lifespan

Joukje M. Oosterman, Fernando Martínez de Juan, Alireza Salami, Michelle G. Jansen, Daniel J. B. Mitchell, Linda Geerligs
article en

Abstract

Cognitive task performance can be supported through multiple brain activation patterns, a concept referred to as brain degeneracy. We used a novel approach to consider brain degeneracy during a visual short-term memory task (VSTM) across the adult lifespan in the cross-sectional Cam-CAN study (n = 113, 23-87 years old). Our main goal was to identify subgroups of participants whose VSTM performance was characterized by distinct brain activation patterns. First, we identified seven brain modules that responded similarly to the VSTM task across participants, and resembled previously identified functional networks. Subsequently, latent profile analysis revealed four distinct subgroups of participants. Each subgroup was characterized by different recruitment patterns of these modules, predominantly in the frontal control module (FCM), visual module, dorsal attention module, and default mode module. Subgroups did not differ in demographics or task performance. However, associations between brain activity and performance varied across subgroups, particularly in the FCM, suggesting that individuals may use different cognitive operations to perform the VSTM task. Further analyses revealed group differences in white matter integrity, mostly in the uncinate fasciculus, suggesting that individual differences in structural brain properties may shape the different brain activation patterns. Altogether, our study contributes to our understanding of how multiple brain activation patterns could underlie cognitive performance.

Imaging NeuroscienceVol. 4
Florida State University (US), Radboud University Nijmegen (NL), Stockholm University (SE), MRC Cognition and Brain Sciences Unit (GB), University of Cambridge (GB), Karolinska Institutet (SE), Umeå University (SE)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Karolinska Institutet, Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, Riksbankens Jubileumsfond, Directorate for Biological Sciences, Medical Research Council
Openalex Percentile: Top 61%
Neural and Behavioral Psychology Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.