Femminella, GD;
Thayanandan, T;
Calsolaro, V;
Komici, K;
Rengo, G;
Corbi, G;
Ferrara, N;
(2018)
Imaging and Molecular Mechanisms of Alzheimer’s Disease: A Review.
International Journal of Molecular Sciences
, 19
(12)
, Article 3702. 10.3390/ijms19123702.
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Abstract
Alzheimer’s disease is the most common form of dementia and is a significant burden for affected patients, carers, and health systems. Great advances have been made in understanding its pathophysiology, to a point that we are moving from a purely clinical diagnosis to a biological one based on the use of biomarkers. Among those, imaging biomarkers are invaluable in Alzheimer’s, as they provide an in vivo window to the pathological processes occurring in Alzheimer’s brain. While some imaging techniques are still under evaluation in the research setting, some have reached widespread clinical use. In this review, we provide an overview of the most commonly used imaging biomarkers in Alzheimer’s disease, from molecular PET imaging to structural MRI, emphasising the concept that multimodal imaging would likely prove to be the optimal tool in the future of Alzheimer’s research and clinical practice.
| Type: | Article |
|---|---|
| Title: | Imaging and Molecular Mechanisms of Alzheimer’s Disease: A Review |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3390/ijms19123702 |
| Publisher version: | https://doi.org/10.3390/ijms19123702 |
| Language: | English |
| Additional information: | © 2018 by the Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Alzheimer's disease, positron emission tomography (PET), magnetic resonance imaging (MRI) |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10072004 |
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