Evidence map›Paper›PMID 37620599›Full record

ReviewNature reviews. Neuroscience2023

Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight.

Jacob W Vogel, Nick Corriveau-Lecavalier, Nicolai Franzmeier, Joana B Pereira, Jesse A Brown, Anne Maass, Hugo Botha, William W Seeley, Dani S Bassett, David T Jones and 1 more

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07474779 (From Genes to Virtual Brain), which is not on this map. Cited by 114 papers.

0numbers the graph read from it
0cells of the map it votes in
114citing 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.

NCT07474779 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

From Genes to Virtual Brain: Defining the Pathogenic Mechanisms Promoting Alfa-synuclein Seeding and Spreading in Parkinson's Disease.

TypeinterventionalSponsorUniversity of PaviaRan2026 to 2029Enrolled160ConditionsParkinson's Disease (PD), GBA1 Parkinson Disease, REM Sleep Behavior Disorder (iRBD)Armsbrain imaging, blood draw, Skin biopsy
3 · Its place in the literature

Who cites it

114 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Modular brain networks shape amyloid-driven tau spread and cognitive decline.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  8. Review
  9. Article
  10. Shared spatial and temporal principles govern connectome dynamics across timescales.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  11. Article
  12. Article
  13. Brain regional susceptibility to tauopathy in individuals at risk for chronic traumatic encephalopathy.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  14. Emerging directions in tauopathy research.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Structure-function coupling in the human brainstem.bioRxiv : the preprint server for biology · 2026
    Article
  20. Article

54 more citing papers are in PubMed but not listed here.

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

11 authors.

Jacob W VogelDepartment of Clinical Sciences, SciLifeLab, Lund University, Lund, Sweden. jacob.vogel@med.lu.se.
Nick Corriveau-LecavalierDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-6561-9870
Nicolai FranzmeierInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-9736-2283
Joana B PereiraClinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden.
Jesse A BrownMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.
Anne MaassGerman Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Hugo BothaDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
William W SeeleyMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.
Dani S BassettDepartments of Bioengineering, Electrical and Systems Engineering, Physics and Astronomy, Neurology and Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-6183-4493
David T JonesDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-4807-9833
Michael EwersInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany. Michael.Ewers@med.uni-muenchen.de.ORCID http://orcid.org/0000-0001-5231-1714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative diseases are the most common cause of dementia. Although their underlying molecular pathologies have been identified, there is substantial heterogeneity in the patterns of progressive brain alterations across and within these diseases. Recent advances in neuroimaging methods have revealed that pathological proteins accumulate along specific macroscale brain networks, implicating the network architecture of the brain in the system-level pathophysiology of neurodegenerative diseases. However, the extent to which 'network-based neurodegeneration' applies across the wide range of neurodegenerative disorders remains unclear. Here, we discuss the state-of-the-art of neuroimaging-based connectomics for the mapping and prediction of neurodegenerative processes. We review findings supporting brain networks as passive conduits through which pathological proteins spread. As an alternative view, we also discuss complementary work suggesting that network alterations actively modulate the spreading of pathological proteins between connected brain regions. We conclude this Perspective by proposing an integrative framework in which connectome-based models can be advanced along three dimensions of innovation: incorporating parameters that modulate propagation behaviour on the basis of measurable biological features; building patient-tailored models that use individual-level information and allowing model parameters to interact dynamically over time. We discuss promises and pitfalls of these strategies for improving disease insights and moving towards precision medicine.

Indexed as

ConnectomeNeurodegenerative DiseasesBrainHumansNeuroimagingPrecision Medicine

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.