Evidence map›Paper›PMID 42816467›Full record

ArticleNature communications2026

The default mode network exhibits circuit-specific selective vulnerability despite widespread amyloid burden in an animal model of Alzheimer's disease.

Samuel J Brunwasser, James N McGregor, Kiran Bhaskaran-Nair, Clayton A Farris, Halla Elmore, Bryan T Higashikubo, Zachary D Berriman-Rozen, Dongjun Ko, Eva L Dyer, John M Grady and 3 more

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. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Samuel J Brunwasser *Department of Biology, Washington University in St. Louis, St. Louis, MO, USA.
James N McGregor *Department of Biology, Washington University in St. Louis, St. Louis, MO, USA.
Kiran Bhaskaran-NairDepartment of Biology, Washington University in St. Louis, St. Louis, MO, USA.
Clayton A FarrisDepartment of Biology, Washington University in St. Louis, St. Louis, MO, USA.
Halla ElmoreDepartment of Biology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-7580-4412
Bryan T HigashikuboDepartment of Biology, Washington University in St. Louis, St. Louis, MO, USA.
Zachary D Berriman-RozenDepartment of Biology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0009-0004-0452-8432
Dongjun KoDepartment of Biology, Washington University in St. Louis, St. Louis, MO, USA.
Eva L DyerDepartment of Computer & Information Science, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-6962-524X
John M GradyDepartment of Biology, Washington University in St. Louis, St. Louis, MO, USA.
Jennifer D WhitesellAllen Institute for Brain Science, Seattle, WA, USA.
Julie A HarrisAllen Institute for Brain Science, Seattle, WA, USA.
Keith B HengenDepartment of Biology, Washington University in St. Louis, St. Louis, MO, USA. khengen@wustl.edu.ORCID 0000-0001-5017-4090

Funding

Mouse Cell Type-Specific Brain Mapping in Health and DiseaseR01AG047589 · NIA · ALLEN INSTITUTE · PI HARRIS, JULIE · 2014 to 2018
$3.4M
A Comparative Framework for Modeling the Low-Dimensional Geometry of Neural Population StatesR01EB029852 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI DYER, EVA · 2020 to 2020
$1.1M
Robust circuit computation in freely behaving animals.R01NS118442 · NINDS · WASHINGTON UNIVERSITY · PI HENGEN, KEITH B. · 2023 to 2024
$1.0M
Sleep reinforces homeostatic set-points in neural activity and mitigates neurodegenerative diseaseR01AG091773 · NIA · WASHINGTON UNIVERSITY · PI Keith B. Hengen · 2026 to 2026
$579k
BrightFocus Foundation (BrightFocus) A2022038SNIA NIH HHS R01 AG047589NIA NIH HHS R01 AG091773NIBIB NIH HHS R01 EB029852NINDS NIH HHS R01 NS118442U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1R01EB029852U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AG091773U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG047589
6 · The paper itself

Abstract

In Alzheimer's Disease (AD) the default mode network (DMN) exhibits selective vulnerability to functional decline and amyloid beta (Aβ) plaques in early AD. DMN vulnerability may simply be the result of Aβ accumulation. Alternately, Aβ may unmask an intrinsic susceptibility of DMN circuits. Should DMN vulnerability persist amidst global Aβ deposition, this would support the latter hypothesis. We tested this using long-term, multi-region recordings of single units in mice characterized by widespread Aβ (APP/PS1). We tracked a neuronal population within the retrosplenial cortex (a DMN region) and two monosynaptically connected target populations, one within (anterior cingulate) and the other outside the DMN (primary visual cortex). We also recorded in hippocampus and examined interactions between the in-DMN and out-DMN circuits. Our data revealed progressive dysfunction restricted to the in-DMN circuit. In contrast, communication originating within but targeting an out-DMN population was unaffected by disease. Dysfunction was pronounced in sleep.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesDefault Mode NetworkNerve NetAmyloid beta-Protein PrecursorAnimalsDisease Models, AnimalFemaleGyrus CinguliHippocampusMaleMiceMice, TransgenicNeuronsPlaque, AmyloidAmyloid beta-PeptidesAmyloid beta-Protein Precursor

Identifiers

PMID42816467
PMCPMC13627688

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.