Module 42: Modeling Alzheimer’s Disease State Dynamics

Faculty Contact: Ambuj Singh

Research Areas:

Abstract: In Alzheimer’s disease, in vivo imaging techniques such as PET and fMRI scans can detect abnormal protein accumulations and disruptions in functional connectivity years before clinical symptoms emerge. The best-known hallmarks of the disease pathology are amyloid plaques and tau neurofibrillary tangles found in the brains of Alzheimer’s patients. Past studies have investigated the temporal and spatial relationships between these two protein deposits, and there has also been work characterizing abnormal changes in resting-state brain connectivity over the course of the disease. There are still, however, many unknowns about how the relationships between tau, amyloid and functional connectivity contribute to Alzheimer’s disease state dynamics. The goal of this project is to model the effect of tau and amyloid protein accumulation on functional connectivity, using a dynamic network approach with data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) collection.

References:

  • Matthew R. Brier, Jewell B. Thomas, and Beau M. Ances. Network Dysfunction in Alzheimer's Disease: Refining the Disconnection Hypothesis.
  • Maria Giulia Preti, Thomas A. W. Bolton, Dimitri, and Van De Ville. The dynamic functional connectome: State-of-the-art and perspectives.
  • Schultz, A. P. et al. Phases of Hyperconnectivity and Hypoconnectivity in the Default Mode and Salience Networks Track with Amyloid and Tau in Clinically Normal Individuals.

Active Quarters:

  • Winter 2018: Rachel Redberg and Leonidas Eleftheriou