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Mean Diffusivity in the Dopaminergic System and Neural Differences Related to Dopaminergic System

ABSTRACT: BACKGROUND: The mean diffusivity (MD) parameter obtained by diffusion tensor imaging provides a measure of how freely water molecules move in brain tissue. Greater tissue density conferred by closely arrayed cellular structures is assumed to lower MD by inhibiting the free diffusion of wat...

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Detalles Bibliográficos
Autores principales: Takeuchi, Hikaru, Kawashima, Ryuta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018195/
https://www.ncbi.nlm.nih.gov/pubmed/29119929
http://dx.doi.org/10.2174/1570159X15666171109124839
Descripción
Sumario:ABSTRACT: BACKGROUND: The mean diffusivity (MD) parameter obtained by diffusion tensor imaging provides a measure of how freely water molecules move in brain tissue. Greater tissue density conferred by closely arrayed cellular structures is assumed to lower MD by inhibiting the free diffusion of water molecules. METHODS: In this paper, we review studies showing MD variation among regions of the brain dopaminergic system (MDDS), especially subcortical structures such as the putamen, caudate nucleus, and globus pallidus, in different conditions with known associations to dopaminergic system function or dysfunction. The methodologies and background related to MD and MDDS are also discussed. RESULTS: Past studies indicate that MDDS is sensitive to pathological derangement of dopaminergic activity, neural changes caused by cognitive and pharmacological interventions that are known to affect the dopaminergic system, and individual character traits related to dopaminergic function. CONCLUSION: These results suggest that MDDS can be one useful tool to tap the neural differences related to the dopaminergic system.