Changes in large-scale brain activity in Alzheimer's disease as measured using a physiologically-based model of the EEG

Proposal details

Title: Changes in large-scale brain activity in Alzheimer's disease as measured using a physiologically-based model of the EEG
Research Area(s): Brain Modeling
Background: Physiologically-based quantitative modelling of electrical activity in the brain may provide new insights into the changes in brain function occurring in Alzheimer's disease.
Aims: To provide a quantitative physiological underpinning for changes in brain electrical activity in Alzheimer's disease. We expect differences in cognitive function between Alzheimer's patients and healthy individuals, as well as between Alzheimer's patients at different stages of the disease, to be captured by differences in model parameters.
Method: Electroencephalographic (EEG) spectra at 26 electrodes will be fitted to a physiologically-based model of brain electrical activity to obtain a set of model parameters which quantify axonal and dendritic/synaptic delays, excitatory and inhibitory gains between neuronal populations, the damping rate of propagating waves in the cortex, and an overall scaling factor of EEG power. Statistical analyses will be performed to compare parameter values in Alzheimer's patients with values in healthy individuals in a range of ages. We will attempt to relate the differences to changes in cognitive function as measured using a battery of computer-based tests.