1. Connectomics and molecular imaging in neurodegeneration
- Author
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James B. Rowe, Merle C Hoenig, Ece Kocagoncu, Michael Ewers, Minc faculty, Nicolai Franzmeier, Julia Neitzel, Michel J. Grothe, Alexander Drzezga, Antonio P. Strafella, Thilo van Eimeren, Gérard N. Bischof, Kocagoncu, Ece [0000-0002-6292-7472], Rowe, James [0000-0001-7216-8679], and Apollo - University of Cambridge Repository
- Subjects
Connectomics ,diagnostic imaging [Neurodegenerative Diseases] ,Disease ,Neuropathology ,Selective Vulnerability ,Biology ,Multimodal Imaging ,Article ,Functional Connectivity ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,methods [Connectome] ,Pathophysiological Spreading ,0302 clinical medicine ,Neuroimaging ,methods [Molecular Imaging] ,Connectome ,medicine ,Animals ,Humans ,Radiology, Nuclear Medicine and imaging ,ddc:610 ,Proteinpathology ,Mechanism (biology) ,Neurodegeneration ,Neurodegenerative Diseases ,General Medicine ,medicine.disease ,Molecular Imaging ,030220 oncology & carcinogenesis ,Molecular imaging ,Neuroscience - Abstract
Our understanding on human neurodegenerative disease was previously limited to clinical data and inferences about the underlying pathology based on histopathological examination. Animal models and in vitro experiments have provided evidence for a cell-autonomous and a non-cell autonomous mechanism for the accumulation of neuropathology. Combining modern neuroimaging tools to identify distinct neural networks (Connectomics) with target-specific Positron Emission Tomography (PET) tracers is an emerging and vibrant field of research with the potential to examine the contributions of cell-autonomous and non-cell autonomous mechanisms to the spread of pathology. The evidence provided here suggests that both cell-autonomous and non-cell autonomous processes relate to the observed in vivo characteristics of protein pathology and neurodegeneration across the disease spectrum. We propose a synergistic model of cell- autonomous and non-cell autonomous accounts that integrates the most critical factors (i.e., protein strain, susceptible cell feature and connectome) contributing to the development of neuronal dysfunction and in turn produces the observed clinical phenotypes. We believe that a timely and longitudinal pursuit of such research programs will greatly advance our understanding of the complex mechanisms driving human neurodegenerative diseases.
- Published
- 2019
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