Integrating retrogenesis theory to Alzheimer's disease pathology: insight from DTI-TBSS investigation of the white matter microstructural integrity

  • Microstructural abnormalities in white matter (WM) are often reported in Alzheimer's disease (AD) and may reflect primary or secondary circuitry degeneration (i.e., due to cortical atrophy). The interpretation of diffusion tensor imaging (DTI) eigenvectors, known as multiple indices, may provide new insights into the main pathological models supporting primary or secondary patterns of WM disruption in AD, the retrogenesis, and Wallerian degeneration models, respectively. The aim of this review is to analyze the current literature on the contribution of DTI multiple indices to the understanding of AD neuropathology, taking the retrogenesis model as a reference for discussion. A systematic review using MEDLINE, EMBASE, and PUBMED was performed. Evidence suggests that AD evolves through distinct patterns of WM disruption, in which retrogenesis or, alternatively, the Wallerian degeneration may prevail. Distinct patterns of WM atrophy may be influenced by complex interactions which comprise disease status and progression, fiber localization, concurrent risk factors (i.e., vascular disease, gender), and cognitive reserve. The use of DTI multiple indices in addition to other standard multimodal methods in dementia research may help to determine the contribution of retrogenesis hypothesis to the understanding of neuropathological hallmarks that lead to AD.

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Author:Gilberto Sousa Alves, Viola Oertel-KnöchelGND, Christian Knöchel, André Férrer Carvalho, Johannes PantelORCiDGND, Eliasz Engelhardt, Jerson Laks
URN:urn:nbn:de:hebis:30:3-373714
DOI:https://doi.org/10.1155/2015/291658
ISSN:2314-6133
Pubmed Id:https://pubmed.ncbi.nlm.nih.gov/25685779
Parent Title (English):BioMed research international
Publisher:Hindawi
Place of publication:New York
Document Type:Article
Language:English
Date of Publication (online):2015/01/20
Date of first Publication:2015/01/20
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2015/04/24
Volume:2015
Issue:Article ID 291658
Page Number:12
Note:
Copyright © 2015 Gilberto Sousa Alves et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
HeBIS-PPN:369152492
Institutes:Medizin / Medizin
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0