Before revision:  We applied Gaussian graphical models (GGMs) for analyzing the conditional dependency networks of multimodal neuroimaging dataand assessed alterations of the network structure in mild cognitive impairment (MCI) and Alzheimer's dementia (AD) compared to cognitively healthy controls. Data from N= 667 subjects were obtained from the Alzheimer's Disease Neuroimaging Initiative.
After revision:  We applied Gaussian graphical models (GGMs) for analyzing the conditional dependency from given data, which is expected to reflect the underlying causal relationships. We applied GGMs to assess multimodal regional brain alterations in AD. We obtained data from N= 667 subjects were obtained from the Alzheimer's Disease Neuroimaging Initiative.