Developing Topics.


Journal

Alzheimer's & dementia : the journal of the Alzheimer's Association
ISSN: 1552-5279
Titre abrégé: Alzheimers Dement
Pays: United States
ID NLM: 101231978

Informations de publication

Date de publication:
Dec 2023
Historique:
medline: 9 8 2024
pubmed: 9 8 2024
entrez: 9 8 2024
Statut: ppublish

Résumé

The novel diffusion-based Neurite Orientation and Dispersion Imaging (NODDI) model may provide complementary information to Diffusion Tensor Imaging (DTI) to increase sensitivity in characterizing tissue microarchitecture. We examined if one or a combination of both approaches can improve our understanding of at-risk tissue in and around white matter hyperintensities (WMH). From ADNI3, we identified individuals [n = 54, age = 78 ± 7, 46% F) with concurrent measures of multi-shell DTI, 3D FLAIR, and 3D MPRAGE. We segmented WMH from structural data using Lesion Segmentation Toolbox. We derived DTI (FA, MD) and NODDI parameters (NDI, ODI, F Normalized DTI and NODDI parameters representing spatial variations within the 5 mm region are shown in Fig 1A. Table 1 shows p-values comparing DTI and NODDI parameters between WMH the subsequent regions outside it. Compared to WMH, F In the WMHs and its immediate vicinity, low FA, NDI, ODI suggest lower cell density, while low F

Sections du résumé

BACKGROUND BACKGROUND
The novel diffusion-based Neurite Orientation and Dispersion Imaging (NODDI) model may provide complementary information to Diffusion Tensor Imaging (DTI) to increase sensitivity in characterizing tissue microarchitecture. We examined if one or a combination of both approaches can improve our understanding of at-risk tissue in and around white matter hyperintensities (WMH).
METHOD METHODS
From ADNI3, we identified individuals [n = 54, age = 78 ± 7, 46% F) with concurrent measures of multi-shell DTI, 3D FLAIR, and 3D MPRAGE. We segmented WMH from structural data using Lesion Segmentation Toolbox. We derived DTI (FA, MD) and NODDI parameters (NDI, ODI, F
RESULT RESULTS
Normalized DTI and NODDI parameters representing spatial variations within the 5 mm region are shown in Fig 1A. Table 1 shows p-values comparing DTI and NODDI parameters between WMH the subsequent regions outside it. Compared to WMH, F
CONCLUSION CONCLUSIONS
In the WMHs and its immediate vicinity, low FA, NDI, ODI suggest lower cell density, while low F

Identifiants

pubmed: 39120258
doi: 10.1002/alz.082408
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e082408

Informations de copyright

© 2023 the Alzheimer's Association.

Auteurs

Tejaswi D Sudhakar (TD)

University of Washington School of Medicine, Seattle, WA, USA.

Cole E Anderson (CE)

University of Washington School of Medicine, Seattle, WA, USA.

Elaine R Peskind (ER)

University of Washington School of Medicine, Seattle, WA, USA.

Ge Li (G)

University of Washington School of Medicine, Seattle, WA, USA.

Jeffrey J Iliff (JJ)

University of Washington School of Medicine, Seattle, WA, USA.

Swati Rane Levendovszky (SR)

University of Washington School of Medicine, Seattle, WA, USA.

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Classifications MeSH