Evidence map›Paper›PMID 41271684›Full record

ArticleNature communications2025

Functional network collapse in neurodegenerative disease.

Jesse A Brown, Alex J Lee, Kristen Fernhoff, Taylor Pistone, Lorenzo Pasquini, Amy B Wise, Adam M Staffaroni, Maria Luisa Mandelli, Suzee E Lee, Adam L Boxer and 7 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Macroscale Gradient-Informed Neural Oscillation Topography in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Jesse A BrownUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA. jbrown81@gmail.com.ORCID http://orcid.org/0000-0002-3139-9451
Alex J LeeUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.
Kristen FernhoffUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.
Taylor PistoneUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.
Lorenzo PasquiniUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.
Amy B WiseUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.
Adam M StaffaroniUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-3903-9805
Maria Luisa MandelliUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.
Suzee E LeeUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.
Adam L BoxerUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-1215-5064
Katherine P RankinUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-3611-0848
Gil D RabinoviciUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-3626-4265
Maria Luisa Gorno TempiniUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.
Howard J RosenUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.
Joel H KramerUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.
Bruce L MillerUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA.
William W SeeleyUniversity of California, San Francisco, Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, San Francisco, CA, USA. Bill.Seeley@ucsf.edu.ORCID http://orcid.org/0000-0003-1410-2027

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
PrPSc SPECIFIC INTERACTION WITH NOVEL PrP-Fc FUSION PROTEINSP50AG023501 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MILLER, BRUCE L · 2004 to 2018
$27.1M
Defining trajectories of dynamic biomarkers for C9ORF72 repeat expansion carriersR01AG058233 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEE, SUZEE EURIE · 2018 to 2022
$3.2M
Dynamic neural systems underlying socioemotional functionR00AG065457 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PASQUINI, LORENZO · 2022 to 2024
$898k
Patient-tailored network prediction of neurodegenerative disease progressionK01AG055698 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BROWN, JESSE AARON · 2017 to 2022
$779k
NIA NIH HHS K01 AG055698NIA NIH HHS P01 AG019724NIA NIH HHS P50 AG023501NIA NIH HHS R00 AG065457NIA NIH HHS R01 AG058233U.S. Department of Health & Human Services | National Institutes of Health (NIH) P01AG019724U.S. Department of Health & Human Services | National Institutes of Health (NIH) P50AG023501U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) K01AG055698
6 · The paper itself

Abstract

Cognitive and behavioral deficits in Alzheimer's disease (AD) and frontotemporal dementia (FTD) arise alongside gray matter atrophy and altered functional connectivity, yet the structure-function relationship across the dementia spectrum remains unclear. Here we combine structural and functional MRI from 221 patients-AD (n = 82), behavioral variant FTD (n = 41), corticobasal syndrome (n = 27), and nonfluent (n = 34) or semantic (n = 37) variant primary progressive aphasia-and 100 cognitively normal individuals. Partial least-squares regression reveals three structure-function components. Component 1 links cumulative atrophy to sensorimotor hypo-connectivity and hyper-connectivity in association cortical and subcortical brain regions. Components 2 and 3 tie focal, syndrome-specific atrophy to peri-lesional hypo-connectivity and distal hyper-connectivity. Structural and functional component scores explain 34% of the variance in global and domain-specific cognitive deficits on average. The functional connectivity changes reflect alterations of intrinsic activity gradients. Eigenmode analysis shows that atrophy relates to reduced gradient amplitudes and narrowed phase angles between gradients, offering a mechanistic account of network collapse in neurodegeneration.

Indexed as

Alzheimer DiseaseBrainNerve NetNeurodegenerative DiseasesAgedAphasia, Primary ProgressiveAtrophyFemaleFrontotemporal DementiaGray MatterHumansMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID41271684
PMCPMC12639071

What Socratic holds

Textmetadata
LicenceCC BY
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.