Before revision: A sequence of pathological changes takes place in Alzheimer's disease , which can be assessed in vivo using various brain imaging methods . Currently, there is no appropriate statistical model available that can easily integrate multiple imaging modalities , being able to utilize the additional information provided from the combined data . 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.
After revision: A sequence of pathological changes takes place in Alzheimer's disease , which can be assessed in vivo using various brain imaging methods . Currently, there is no appropriate statistical model available that can easily integrate multiple imaging modalities , being able to utilize the additional information provided from the combination of data sources. 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.