ArticlePLoS computational biology2021
A large-scale brain network mechanism for increased seizure propensity in Alzheimer's disease.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Alzheimer Disease and Epilepsy: A Mendelian Randomization Study.Neurology · 2023Pooled it
- Factors associated with epileptiform discharges in patients visiting a memory clinic: A retrospective study.Epilepsy & behavior reports · 2026Article
- Sex differences and age-related changes of large-scale brain networks.BMC medical imaging · 2025Article
- Alterations in topology, cost, and dynamics of gamma-band EEG functional networks in a preclinical model of traumatic brain injury.Network neuroscience (Cambridge, Mass.) · 2025Article
- Bifurcations and bursting in the Epileptor.PLoS computational biology · 2024Article
- Recent Progress in Brain Network Models for Medical Applications: A Review.Health data science · 2024Review
- Epileptic seizures induced by pentylenetetrazole kindling accelerate Alzheimer-like neuropathology in 5×FAD mice.Frontiers in pharmacology · 2024Article
- Functional network disruption in cognitively unimpaired autosomal dominant Alzheimer's disease: a magnetoencephalography study.Brain communications · 2024Article
- Network Hyperexcitability in Early Alzheimer's Disease: Is Functional Connectivity a Potential Biomarker?Brain topography · 2023Article
- Alzheimer's disease as a synaptopathy: Evidence for dysfunction of synapses during disease progression.Frontiers in synaptic neuroscience · 2023Review
- Focal epilepsy without overt epileptogenic lesions: no evidence of microstructural brain tissue damage in multi-parametric quantitative MRI.Frontiers in neurology · 2023Article
- The fate of interneurons, GABABrain pathology (Zurich, Switzerland) · 2023Review
- Mechanisms Involved in Epileptogenesis in Alzheimer's Disease and Their Therapeutic Implications.International journal of molecular sciences · 2022Review
- Whole-Brain Network Models: From Physics to Bedside.Frontiers in computational neuroscience · 2022Review
- The clinical correlation between Alzheimer's disease and epilepsy.Frontiers in neurology · 2022Review
- Article
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Authors and funding
7 authors.
Funding
Abstract
People with Alzheimer's disease (AD) are 6-10 times more likely to develop seizures than the healthy aging population. Leading hypotheses largely consider hyperexcitability of local cortical tissue as primarily responsible for increased seizure prevalence in AD. However, in the general population of people with epilepsy, large-scale brain network organization additionally plays a role in determining seizure likelihood and phenotype. Here, we propose that alterations to large-scale brain network organization seen in AD may contribute to increased seizure likelihood. To test this hypothesis, we combine computational modelling with electrophysiological data using an approach that has proved informative in clinical epilepsy cohorts without AD. EEG was recorded from 21 people with probable AD and 26 healthy controls. At the time of EEG acquisition, all participants were free from seizures. Whole brain functional connectivity derived from source-reconstructed EEG recordings was used to build subject-specific brain network models of seizure transitions. As cortical tissue excitability was increased in the simulations, AD simulations were more likely to transition into seizures than simulations from healthy controls, suggesting an increased group-level probability of developing seizures at a future time for AD participants. We subsequently used the model to assess seizure propensity of different regions across the cortex. We found the most important regions for seizure generation were those typically burdened by amyloid-beta at the early stages of AD, as previously reported by in-vivo and post-mortem staging of amyloid plaques. Analysis of these spatial distributions also give potential insight into mechanisms of increased susceptibility to generalized (as opposed to focal) seizures in AD vs controls. This research suggests avenues for future studies testing patients with seizures, e.g. co-morbid AD/epilepsy patients, and comparisons with PET and MRI scans to relate regional seizure propensity with AD pathologies.
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