Amyloid‐Induced Network Resilience and Collapse in Alzheimer's Disease: Insights From Computational Modeling

Ediline L. F. Nguessap, Damien Depannemaecker, Fernando F. Ferreira

Open source

DOI: 10.1111/ejn.70713
Published: 2026-10
Container: European Journal of Neuroscience
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1111/ejn.70713,
  title = {Amyloid‐Induced Network Resilience and Collapse in Alzheimer's Disease: Insights From Computational Modeling},
  author = {Ediline L. F. Nguessap and Damien Depannemaecker and Fernando F. Ferreira},
  year = {2026},
  journal = {European Journal of Neuroscience},
  doi = {10.1111/ejn.70713},
  url = {https://doi.org/10.1111/ejn.70713}
}

RIS

TY  - JOUR
TI  - Amyloid‐Induced Network Resilience and Collapse in Alzheimer's Disease: Insights From Computational Modeling
AU  - Ediline L. F. Nguessap
AU  - Damien Depannemaecker
AU  - Fernando F. Ferreira
PY  - 2026
JO  - European Journal of Neuroscience
DO  - 10.1111/ejn.70713
UR  - https://doi.org/10.1111/ejn.70713
ER  -

APA

Nguessap, E. L. F., Depannemaecker, D., & Ferreira, F. F. (2026). Amyloid‐Induced Network Resilience and Collapse in Alzheimer's Disease: Insights From Computational Modeling. European Journal of Neuroscience. https://doi.org/10.1111/ejn.70713

Source records

crossref · retrieved 2026-11-10T06:42:51.138Z