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On the scaling behavior of water diffusion in human brain white matter.
Veraart, Jelle; Fieremans, Els; Novikov, Dmitry S.
Afiliação
  • Veraart J; Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA. Electronic address: jelle.veraart@nyulangone.org.
  • Fieremans E; Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.
  • Novikov DS; Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA.
Neuroimage ; 185: 379-387, 2019 01 15.
Article em En | MEDLINE | ID: mdl-30292815
ABSTRACT
Development of therapies for neurological disorders depends on our ability to non-invasively diagnose and monitor the progression of underlying pathologies at the cellular level. Physics and physiology limit the resolution of human MRI to be orders of magnitude coarser than cell dimensions. Here we identify and quantify the MRI signal coming from within micrometer-thin axons in human white matter tracts in vivo, by utilizing the sensitivity of diffusion MRI to Brownian motion of water molecules restricted by cell walls. We study a specific power-law scaling of the diffusion MRI signal with the diffusion weighting, predicted for water confined to narrow axons, and quantify axonal water fraction and orientation dispersion.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Encéfalo / Imagem de Difusão por Ressonância Magnética / Neuroimagem / Substância Branca Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Encéfalo / Imagem de Difusão por Ressonância Magnética / Neuroimagem / Substância Branca Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article