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      Diffusion tensor imaging in Parkinson's disease: Review and meta-analysis

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          Abstract

          Background

          Neuroimaging studies help us better understand the pathophysiology and symptoms of Parkinson's disease (PD). In several of these studies, diffusion tensor imaging (DTI) was used to investigate structural changes in cerebral tissue. Although data have been provided as regards to specific brain areas, a whole brain meta-analysis is still missing.

          Methods

          We compiled 39 studies in this meta-analysis: 14 used fractional anisotropy (FA), 1 used mean diffusivity (MD), and 24 used both indicators. These studies comprised 1855 individuals, 1087 with PD and 768 healthy controls. Regions of interest were classified anatomically (subcortical structures; white matter; cortical areas; cerebellum). Our statistical analysis considered the disease effect size (D ES) as the main variable; the heterogeneity index (I 2) and Pearson's correlations between the D ES and co-variables (demographic, clinical and MRI parameters) were also calculated.

          Results

          Our results showed that FA-D ES and MD-D ES were able to distinguish between patients and healthy controls. Significant differences, indicating degenerations, were observed within the substantia nigra, the corpus callosum, and the cingulate and temporal cortices. Moreover, some findings (particularly in the corticospinal tract) suggested opposite brain changes associated with PD. In addition, our results demonstrated that MD-D ES was particularly sensitive to clinical and MRI parameters, such as the number of DTI directions and the echo time within white matter.

          Conclusions

          Despite some limitations, DTI appears as a sensitive method to study PD pathophysiology and severity. The association of DTI with other MRI methods should also be considered and could benefit the study of brain degenerations in PD.

          Highlights

          • Meta-analyses on DTI in Parkinson's disease are scarce.

          • DTI is as a sensitive method to study PD pathophysiology and progression.

          • DTI in olfactory regions could participate to the diagnosis of PD.

          • DTI in the substantia nigra is good indicator to identify PD patients, but also for PD progression.

          • Further studies are required to conclude about the changes in caudate and the corticospinal tract.

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          Most cited references95

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          Principles of diffusion tensor imaging and its applications to basic neuroscience research.

          The brain contains more than 100 billion neurons that communicate with each other via axons for the formation of complex neural networks. The structural mapping of such networks during health and disease states is essential for understanding brain function. However, our understanding of brain structural connectivity is surprisingly limited, due in part to the lack of noninvasive methodologies to study axonal anatomy. Diffusion tensor imaging (DTI) is a recently developed MRI technique that can measure macroscopic axonal organization in nervous system tissues. In this article, the principles of DTI methodologies are explained, and several applications introduced, including visualization of axonal tracts in myelin and axonal injuries as well as human brain and mouse embryonic development. The strengths and limitations of DTI and key areas for future research and development are also discussed.
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            Parkinson's disease: a dual‐hit hypothesis

            Accumulating evidence suggests that sporadic Parkinson's disease has a long prodromal period during which several non‐motor features develop, in particular, impairment of olfaction, vagal dysfunction and sleep disorder. Early sites of Lewy pathology are the olfactory bulb and enteric plexus of the stomach. We propose that a neurotropic pathogen, probably viral, enters the brain via two routes: (i) nasal, with anterograde progression into the temporal lobe; and (ii) gastric, secondary to swallowing of nasal secretions in saliva. These secretions might contain a neurotropic pathogen that, after penetration of the epithelial lining, could enter axons of the Meissner's plexus and, via transsynaptic transmission, reach the preganglionic parasympathetic motor neurones of the vagus nerve. This would allow retrograde transport into the medulla and, from here, into the pons and midbrain until the substantia nigra is reached and typical aspects of disease commence. Evidence for this theory from the perspective of olfactory and autonomic dysfunction is reviewed, and the possible routes of pathogenic invasion are considered. It is concluded that the most parsimonious explanation for the initial events of sporadic Parkinson's disease is pathogenic access to the brain through the stomach and nose – hence the term ‘dual‐hit’.
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              Learning in the fast lane: new insights into neuroplasticity.

              The timescale of structural remodeling that accompanies functional neuroplasticity is largely unknown. Although structural remodeling of human brain tissue is known to occur following long-term (weeks) acquisition of a new skill, little is known as to what happens structurally when the brain needs to adopt new sequences of procedural rules or memorize a cascade of events within minutes or hours. Using diffusion tensor imaging (DTI), an MRI-based framework, we examined subjects before and after a spatial learning and memory task. Microstructural changes (as reflected by DTI measures) of limbic system structures (hippocampus and parahippocampus) were significant after only 2 hr of training. This observation was also found in a supporting rat study. We conclude that cellular rearrangement of neural tissue can be detected by DTI, and that this modality may allow neuroplasticity to be localized over short timescales. Copyright © 2012 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Neuroimage Clin
                Neuroimage Clin
                NeuroImage : Clinical
                Elsevier
                2213-1582
                15 July 2017
                2017
                15 July 2017
                : 16
                : 98-110
                Affiliations
                [a ]Aix Marseille Univ, CNRS, LPL, Aix-en-Provence, France
                [b ]Brain and Language Research Institute, Aix Marseille Univ, Aix-en-Provence, France
                [c ]Aix Marseille Univ, APHM, Hôpital de la Timone, Service de Neurologie et Pathologie du Mouvement, Marseille, France
                [d ]Aix Marseille Univ, CNRS, INT, Inst Neurosci Timone, Marseille France
                [e ]Aix Marseille Univ, CNRS, LSIS lab, UMR 7296, Marseille, France
                Author notes
                [* ]Corresponding author at: Laboratoire Parole et Langage (LPL), UMR 7309 - CNRS, Aix-Marseille Université, 5, avenue Pasteur, 13100 Aix-en-Provence, France.Laboratoire Parole et Langage (LPL)UMR 7309 - CNRSAix-Marseille Université5, avenue PasteurAix-en-Provence13100France cyril.atkinson-clement@ 123456lpl-aix.fr
                Article
                S2213-1582(17)30176-6
                10.1016/j.nicl.2017.07.011
                5527156
                28765809
                38b65b10-ef34-47db-9485-2ec83ed44ace
                © 2017 The Authors
                History
                : 29 March 2017
                : 13 July 2017
                : 14 July 2017
                Categories
                Review Article

                neuroimaging,diffusion tensor imaging,idiopathic parkinson's disease,fractional anisotropy,mean diffusivity

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