4 papers
Computational modelling of Parkinson's disease: A multiscale approach with deep brain stimulation and stochastic noise
Aaron Herrera, Hina Shaheen
Multiscale modelling presents a multifaceted perspective into understanding the mechanisms of the brain and how neurodegenerative disorders like Parkinson's disease (PD) manifest a…
Modelling Alzheimer's Protein Dynamics: A Data-Driven Integration of Stochastic Methods, Machine Learning and Connectome Insights
Alec MacIver, Hina Shaheen
Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by the progressive accumulation of misfolded proteins, leading to cognitive decline. This study prese…
Brain Network Dynamics and Multiscale Modelling of Neurodegenerative Disorders: A Review
Hina Shaheen, Roderick Melnik
It is essential to understand the complex structure of the human brain to develop new treatment approaches for neurodegenerative disorders (NDDs). This review paper comprehensively…
Bayesian Approaches for Revealing Complex Neural Network Dynamics in Parkinson's Disease
Hina Shaheen, Roderick Melnik
Parkinson's disease (PD) belongs to the class of neurodegenerative disorders that affect the central nervous system. It is usually defined as the gradual loss of dopaminergic neuro…