Multimodal analysis of neuroimages in Alzheimer's disease

Several neuroimaging biomarkers have been identified to diagnose Alzheimer’s disease (AD) since the earliest stages, monitor its progression, and possibly predict its onset. This research shows that structural damage, functional alterations, and protein build-up, characterizing AD, are interrelated but neither concurrent nor co-localized phenomena. This research points out the need of multimodal analysis techniques to further assess the relationship between different biomarkers, in order to better understand the mechanisms that trigger the disease onset and drive its progression, to increase early diagnostic accuracy and to lead to the identification of novel targets for pharmaceutical intervention which could delay disease progression.