ArticleNeuroImage. Clinical2018
Differentiation of Alzheimer's disease based on local and global parameters in personalized Virtual Brain models.
Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.
What it found
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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.
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Who cites it
62 citing papers in PubMed, 105 citations in OpenAlex.
- Virtual brain and electroencephalography explain the variance of memory alterations in mild cognitive impairment.Alzheimer's research & therapy · 2026Article
- A Framework Integrating Spiking Cortical Circuit Modeling and Simulation-Based Inference to Probe Biomarkers of Cortical Dysfunction in Alzheimer's Disease.Interdisciplinary sciences, computational life sciences · 2026Article
- Biophysical mechanisms of default mode network function and dysfunction.bioRxiv : the preprint server for biology · 2026Article
- An Interactive Brain Atlas of Knowledge.bioRxiv : the preprint server for biology · 2026Article
- Toward Personalized Neuroscience: Evaluating Individual-Level Information in Neural Mass Models.Human brain mapping · 2025Article
- Region-specific mean field models enhance simulations of local and global brain dynamics.NPJ systems biology and applications · 2025Article
- Effective workflow from multimodal MRI data to model-based prediction.Scientific reports · 2025Article
- A Shift Toward Supercritical Brain Dynamics Predicts Alzheimer's Disease Progression.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer's Disease Classification.Bioengineering (Basel, Switzerland) · 2025Article
- Revealing excitation-inhibition imbalance in Alzheimer's disease using multiscale neural model inversion of resting-state functional MRI.Communications medicine · 2025Article
- Neuromorphic computing at scale.Nature · 2025Review
- High-power transient 12-30 Hz beta event features as early biomarkers of Alzheimer's disease conversion: An MEG study.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Untangling the Genetic Threads of Alzheimer's: Insights into Risk Factors and Biomarkers.Current gene therapy · 2025Review
- Can brain network connectivity facilitate the clinical development of disease-modifying anti-Alzheimer drugs?Brain communications · 2025Review
- Computational modelling reveals neurobiological contributions to static and dynamic functional connectivity patterns.Frontiers in computational neuroscience · 2025Article
- Article
- Brain network pathophysiology in dystonia.Dystonia (Lausanne, Switzerland) · 2025Article
- Beyond the usual suspects: multi-factorial computational models in the search for neurodegenerative disease mechanisms.Translational psychiatry · 2024Review
- Personalized whole-brain neural mass models reveal combined Aβ and tau hyperexcitable influences in Alzheimer's disease.Communications biology · 2024Article
- Virtual brain twins: from basic neuroscience to clinical use.National science review · 2024Review
2 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
11 authors at 6 institutions in 4 countries.
Funding
Abstract
Alzheimer's disease (AD) is marked by cognitive dysfunction emerging from neuropathological processes impacting brain function. AD affects brain dynamics at the local level, such as changes in the balance of inhibitory and excitatory neuronal populations, as well as long-range changes to the global network. Individual differences in these changes as they relate to behaviour are poorly understood. Here, we use a multi-scale neurophysiological model, "The Virtual Brain (TVB)", based on empirical multi-modal neuroimaging data, to study how local and global dynamics correlate with individual differences in cognition. In particular, we modeled individual resting-state functional activity of 124 individuals across the behavioural spectrum from healthy aging, to amnesic Mild Cognitive Impairment (MCI), to AD. The model parameters required to accurately simulate empirical functional brain imaging data correlated significantly with cognition, and exceeded the predictive capacity of empirical connectomes.
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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.