Evidence map›Paper›PMID 38740613›Full record

ArticleJournal of mathematical biology2024

Neuronal activity induces symmetry breaking in neurodegenerative disease spreading.

Christoffer G Alexandersen, Alain Goriely, Christian Bick

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

3 authors.

Christoffer G AlexandersenMathematical Institute, University of Oxford, Oxford, UK.
Alain GorielyMathematical Institute, University of Oxford, Oxford, UK. goriely@maths.ox.ac.uk.ORCID 0000-0002-6436-8483
Christian BickMathematical Institute, University of Oxford, Oxford, UK.

Funding

Engineering and Physical Sciences Research Council EP/R020205/1Engineering and Physical Sciences Research Council EP/T013613/1
6 · The paper itself

Abstract

Dynamical systems on networks typically involve several dynamical processes evolving at different timescales. For instance, in Alzheimer's disease, the spread of toxic protein throughout the brain not only disrupts neuronal activity but is also influenced by neuronal activity itself, establishing a feedback loop between the fast neuronal activity and the slow protein spreading. Motivated by the case of Alzheimer's disease, we study the multiple-timescale dynamics of a heterodimer spreading process on an adaptive network of Kuramoto oscillators. Using a minimal two-node model, we establish that heterogeneous oscillatory activity facilitates toxic outbreaks and induces symmetry breaking in the spreading patterns. We then extend the model formulation to larger networks and perform numerical simulations of the slow-fast dynamics on common network motifs and on the brain connectome. The simulations corroborate the findings from the minimal model, underscoring the significance of multiple-timescale dynamics in the modeling of neurodegenerative diseases.

Indexed as

Alzheimer DiseaseBrainComputer SimulationMathematical ConceptsModels, NeurologicalNeuronsConnectomeHumansNerve NetNeurodegenerative DiseasesAdaptive networksAlzheimer’s diseaseBrain activityDynamics on networksHuman connectomeMultiple time scalesNeurodegenerative diseaseToxic spreading

Identifiers

PMID38740613
PMCPMC11614967

What OpenQuestion 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 OpenQuestion graph.