Evidence map›Paper›PMID 42637780›Full record

ArticleNature communications2026

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

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

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Anne Billot *Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. abillot@fas.harvard.edu.ORCID 0000-0002-6356-2719
Niharika Jhingan *McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Maria VarkanitsaDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA, USA.
Agata WolnaMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Cory ShainDepartment of Linguistics, Stanford University, Palo Alto, CA, USA.
Idan BlankDepartment of Psychology, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0000-0001-7057-8391
Rachel RyskinDepartment of Cognitive & Information Sciences, University of California Merced, Merced, CA, USA.
Swathi KiranDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA, USA. skiran@bu.edu.ORCID 0000-0003-1586-8913
Evelina FedorenkoMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA. evelina9@mit.edu.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 DC016950U.S. Department of Health & Human Services | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) R01DC016950
6 · The paper itself

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.

Indexed as

AgingBrainFunctional LateralityLanguageNerve NetAdultAgedAged, 80 and overBrain MappingComprehensionExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleYoung Adult

Identifiers

PMID42637780
PMCPMC13503826

What OpenQuestion holds

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Registered trials

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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.