Preserved topography, lateralization, selectivity, and functional connectivity of the language network in older brains

Healthy aging is associated with structural and functional brain changes. However, cognitive abilities vary in how they change with age: executive functions decline, while aspects of linguistic processing remain relatively preserved. This heterogeneity predicts differences among brain networks in whether and how they change with age. To evaluate this prediction, we used precision fMRI to examine the language-selective network and the Multiple Demand (MD) network, which supports executive functions, in older adults (N = 64) relative to young controls (N = 483). The MD network of older adults shows weaker, less spatially extensive, and more topographically variable activations during an executive function task and reduced within-network functional connectivity. In contrast, we find remarkable preservation of the language network in older adults: it responds during language comprehension as strongly and selectively as in younger adults, with similar left-hemispheric lateralization and within-network functional connectivity. These findings align with behavioral preservation of language comprehension in healthy aging. Here, the authors show that aging affects brain networks differently, with neural changes mirroring the preservation or decline of the cognitive functions they support. The multiple demand network exhibits age-related decline while the language network remains stable with age.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-08-24
DOI
https://doi.org/10.1038/s41467-026-76598-x
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preserved topography, lateralization, selectivity, and functional connectivity of the language network in older brains

Maria Varkanitsa, Agata Wolna, Cory Shain, Idan Blank et al.
Nature Communications
Functional Brain Connectivity Studies
article

Preserved topography, lateralization, selectivity, and functional connectivity of the language network in older brains

Maria Varkanitsa, Agata Wolna, Cory Shain, Idan Blank, Anne Billot, Evelina Fedorenko, Swathi Kiran, Niharika Jhingan, Rachel Ryskin
article en

Abstract

Healthy aging is associated with structural and functional brain changes. However, cognitive abilities vary in how they change with age: executive functions decline, while aspects of linguistic processing remain relatively preserved. This heterogeneity predicts differences among brain networks in whether and how they change with age. To evaluate this prediction, we used precision fMRI to examine the language-selective network and the Multiple Demand (MD) network, which supports executive functions, in older adults (N = 64) relative to young controls (N = 483). The MD network of older adults shows weaker, less spatially extensive, and more topographically variable activations during an executive function task and reduced within-network functional connectivity. In contrast, we find remarkable preservation of the language network in older adults: it responds during language comprehension as strongly and selectively as in younger adults, with similar left-hemispheric lateralization and within-network functional connectivity. These findings align with behavioral preservation of language comprehension in healthy aging. Here, the authors show that aging affects brain networks differently, with neural changes mirroring the preservation or decline of the cognitive functions they support. The multiple demand network exhibits age-related decline while the language network remains stable with age.

Nature CommunicationsVol. 17(1)
Boston University (US), Center for Applied Linguistics (US), Harvard University (US), McGovern Institute for Brain Research (US), University of California, Merced (US), University of California, Los Angeles (US), Palo Alto University (US), Massachusetts General Hospital (US), Massachusetts Institute of Technology (US)
Quality Education
Openalex Percentile: Top 8%
Functional Brain Connectivity 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.