Several neuroimaging markers have been established for the early diagnosis of Alzheimer's disease, among them amyloid-beta deposition, glucose metabolism, and gray matter volume. Up to now, these imaging modalitieswere mostly analyzed separately from each other, and little is known about the regional interrelation and dependency of these markers.
<coherence> Several neuroimaging markers have been established for the early diagnosis of Alzheimer's disease, among them amyloid-beta deposition, glucose metabolism, and gray matter volume. Up to now, these imaging modalitieswere mostly analyzed separately from each other, and little is known about the regional interrelation and dependency of these markers.
Several neuroimaging markers have been established for the early diagnosis of 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