Evidence map›Paper›PMID 41676650›Full record

ArticlebioRxiv : the preprint server for biology2026

Individualized Mapping of Functional Brain Networks in Older Adulthood.

Colleen Hughes, Anne C Krendl, Roberto C French, Shannon L Risacher, Yu-Chien Wu, Andrew Saykin, Richard Betzel

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

Colleen HughesPsychological and Brain Sciences Department, Indiana University, Bloomington, IN, USA.ORCID 0000-0002-0632-4060
Anne C KrendlPsychological and Brain Sciences Department, Indiana University, Bloomington, IN, USA.
Roberto C FrenchPsychological and Brain Sciences Department, Indiana University, Bloomington, IN, USA.
Shannon L RisacherDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Yu-Chien WuIndiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID 0000-0003-1084-2634
Andrew SaykinIndiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA.
Richard BetzelDepartment of Neuroscience, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0001-9200-1681

Funding

Research Education ComponentP30AG072976 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI ANDREW J SAYKIN · 2021 to 2026
$24.1M
Understanding how social connectedness protects older adults' cognitive health: the role of social cognitionR01AG070931 · NIA · TRUSTEES OF INDIANA UNIVERSITY · PI KRENDL, ANNE CATHERINE, PERRY, BREA LOUISE · 2020 to 2024
$3.6M
Understanding how social cognition protects older adults' cognitive health: the role of social connectednessRF1AG070931 · NIA · TRUSTEES OF INDIANA UNIVERSITY · PI Anne Catherine Krendl, Brea Louise Perry · 2026 to 2026
$3.1M
Assessing Diffusion MRI Metrics for Detecting Changes of Synaptic Density in Alzheimer's DiseaseR01AG083951 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI Yu-Chien Wu · 2023 to 2026
$3.1M
Dynamic approaches to understanding social cognitive aging: A social network neuroscience approachR01AG075044 · NIA · TRUSTEES OF INDIANA UNIVERSITY · PI Richard F Betzel, Anne Catherine Krendl · 2022 to 2026
$2.7M
NIA NIH HHS P30 AG072976NIA NIH HHS R01 AG070931NIA NIH HHS R01 AG075044NIA NIH HHS R01 AG083951NIA NIH HHS RF1 AG070931
6 · The paper itself

Abstract

The functional network architecture of the aging brain undergoes significant systematic and idiosyncratic changes. Emergent individualized network mapping approaches may yield better or more sensitive explanatory insight about age-related neural and behavioral variability, although most applications have focused on young adults. In the current study, we tested the validity and impact of mapping individual-specific topography in two fMRI datasets comprising 112 young (18-35 years) and 176 older adults (60-92 years). Older adults had more idiosyncratic network topography than young adults. Individualized maps from resting-state fMRI improved network homogeneity and fidelity to task fMRI activations, while also exhibiting intra-individual reliability and inter-individual discriminability over a 2-year interval. Last, traditional group-averaged (

Indexed as

agingfunctional brain networksfunctional magnetic resonance imagingnetwork segregationprecision functional mappingresting-state

Identifiers

PMID41676650
PMCPMC12889444

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.