White matter mean diffusivity correlates with myelination in tuberous sclerosis complex.


Journal

Annals of clinical and translational neurology
ISSN: 2328-9503
Titre abrégé: Ann Clin Transl Neurol
Pays: United States
ID NLM: 101623278

Informations de publication

Date de publication:
07 2019
Historique:
received: 08 03 2019
revised: 18 04 2019
accepted: 22 04 2019
entrez: 30 7 2019
pubmed: 30 7 2019
medline: 14 5 2020
Statut: ppublish

Résumé

Diffusion tensor imaging (DTI) of the white matter is a biomarker for neurological disease burden in tuberous sclerosis complex (TSC). To clarify the basis of abnormal diffusion in TSC, we correlated ex vivo high-resolution diffusion imaging with histopathology in four tissue types: cortex, tuber, perituber, and white matter. Surgical specimens of three children with TSC were scanned in a 3T or 7T MRI with a structural image isotropic resolution of 137-300 micron, and diffusion image isotropic resolution of 270-1,000 micron. We stained for myelin (luxol fast blue, LFB), gliosis (glial fibrillary acidic protein, GFAP), and neurons (NeuN) and registered the digitized histopathology slides (0.686 micron resolution) to MRI for visual comparison. We then performed colocalization analysis in four tissue types in each specimen. Finally, we applied a linear mixed model (LMM) for pooled analysis across the three specimens. In white matter and perituber regions, LFB optical density measures correlated with fractional anisotropy (FA) and inversely with mean diffusivity (MD). In white matter only, GFAP correlated with MD, and inversely with FA. In tubers and in the cortex, there was little variation in mean LFB and GFAP signal intensity, and no correlation with MRI metrics. Neuronal density correlated with MD. In the analysis of the combined specimens, the most robust correlation was between white matter MD and LFB metrics. In TSC, diffusion imaging abnormalities in microscopic tissue types correspond to specific histopathological markers. Across all specimens, white matter diffusivity correlates with myelination.

Identifiants

pubmed: 31353853
doi: 10.1002/acn3.793
pmc: PMC6649396
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1178-1190

Subventions

Organisme : NINDS NIH HHS
ID : U01 NS082320
Pays : United States
Organisme : NICHD
Pays : International
Organisme : NIMH
Pays : International
Organisme : U.S. Department of Defense
ID : W81XWH-11-1-0365
Pays : International
Organisme : NINDS NIH HHS
ID : U54 NS092090
Pays : United States
Organisme : NINDS NIH HHS
ID : U54 HD090255
Pays : United States
Organisme : NINDS NIH HHS
ID : P30 NS072030
Pays : United States
Organisme : NICHD NIH HHS
ID : U54 HD090255
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001102
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS079788
Pays : United States
Organisme : NINDS NIH HHS
ID : UL1 TR001102
Pays : United States
Organisme : NCATS
Pays : International

Informations de copyright

© 2019 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association.

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Auteurs

Jurriaan M Peters (JM)

Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.
Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.

Robbert R Struyven (RR)

Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.

Anna K Prohl (AK)

Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.

Lana Vasung (L)

Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.

Andrija Stajduhar (A)

Croatian Institute for Brain Research and Center of Research Excellence for Basic, Clinical and Translational Neuroscience, University of Zagreb, Zagreb, Croatia.

Maxime Taquet (M)

Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.

John J Bushman (JJ)

Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.

Hart Lidov (H)

Division of Neuropathology, Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.

Jolene M Singh (JM)

Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.

Benoit Scherrer (B)

Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.

Joseph R Madsen (JR)

Department of Neurosurgery, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.

Sanjay P Prabhu (SP)

Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.

Mustafa Sahin (M)

Translational Neuroscience Center, Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.

Onur Afacan (O)

Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.

Simon K Warfield (SK)

Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.

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