Evidence map›Paper›PMID 39484368›Full record

ArticlebioRxiv : the preprint server for biology2024

The language network ages well: Preserved selectivity, lateralization, and within-network functional synchronization in older brains.

Anne Billot, Niharika Jhingan, Maria Varkanitsa, Idan Blank, Rachel Ryskin, Swathi Kiran, Evelina Fedorenko

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Anne BillotDepartment of Neurology, Massachusetts General Hospital & Harvard Medical School; Boston, MA 02114.ORCID 0000-0002-6356-2719
Niharika JhinganDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0009-0004-9803-6964
Maria VarkanitsaDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215.ORCID 0000-0001-6040-6254
Idan BlankDepartment of Psychology and Department of Linguistics, University of California Los Angeles, Los Angeles, CA 90095.ORCID 0000-0001-7057-8391
Rachel RyskinDepartment of Cognitive & Information Sciences, University of California Merced, Merced, CA 95343.ORCID 0000-0002-9516-4467
Swathi KiranDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215.ORCID 0000-0003-1586-8913
Evelina FedorenkoDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0003-3823-514X

Funding

Functional reorganization of the language and domain-general multiple demand systems in aphasiaR01DC016950 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI FEDORENKO, EVELINA, KIRAN, SWATHI · 2019 to 2023
$3.2M
NIDCD NIH HHS R01 DC016950
6 · The paper itself

Abstract

Healthy aging is associated with structural and functional brain changes. However, cognitive abilities differ from one another in how they change with age: whereas executive functions, like working memory, show age-related decline, aspects of linguistic processing remain relatively preserved (Hartshorne et al., 2015). This heterogeneity of the cognitive-behavioral landscape in aging predicts differences among brain networks in whether and how they should change with age. To evaluate this prediction, we used individual-subject fMRI analyses ('precision fMRI') to examine the language-selective network (Fedorenko et al., 2024) and the Multiple Demand (MD) network, which supports executive functions (Duncan et al., 2020), in older adults (n=77) relative to young controls (n=470). In line with past claims, relative to young adults, the MD network of older adults shows weaker and less spatially extensive activations during an executive function task and reduced within-network functional synchronization. However, in stark contrast to the MD network, we find remarkable preservation of the language network in older adults. Their language network responds to language as strongly and selectively as in younger adults, and is similarly lateralized and internally synchronized. In other words, the language network of older adults looks indistinguishable from that of younger adults. Our findings align with behavioral preservation of language skills in aging and suggest that some networks remain young-like, at least on standard measures of function and connectivity.

Indexed as

agingfunctional connectivityfunctional localizationlanguage networklateralizationmultiple demand network

Identifiers

PMID39484368
PMCPMC11527140

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.