Voxelwise analysis of diffusion MRI of cervical spinal cord using tract-based spatial statistics

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F20%3A00118618" target="_blank" >RIV/00216224:14110/20:00118618 - isvavai.cz</a>

Alternative codes found

RIV/65269705:_____/20:00072940

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0730725X20302678" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0730725X20302678</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.mri.2020.07.008" target="_blank" >10.1016/j.mri.2020.07.008</a>

Result language

angličtina

Original language name

Voxelwise analysis of diffusion MRI of cervical spinal cord using tract-based spatial statistics

Original language description

Robust voxelwise analysis using tract-based spatial statistics (TBSS) together with permutation statistical method is standardly used in analyzing diffusion tensor imaging (DTI) of brain. A similar analytical method could be useful when studying DTI of cervical spinal cord. Based on anatomical data of sixty-four healthy volunteers, white (WM) and gray matter (GM) masks were created and subsequently registered into DTI space. Using TBSS, two skeleton types were created (single line and dilated for WM as well as GM). From anatomical data, percentage rates of overlap were calculated for all skeletons in relation to WM and GM masks. Voxelwise analysis of fractional anisotropy values depending on age and sex was conducted. Correlation of fraction anisotropy values with age of subjects was also evaluated. The two WM skeleton types showed a high overlap rate with WM masks (similar to 94%); GM skeletons showed lower rates (56% and 42%, respectively, for single line and dilated). WM and GM areas where fraction anisotropy values differ between sexes were identified (p &lt; .05). Furthermore, using voxelwise analysis such WM voxels were identified where fraction anisotropy values differ depending on age (p &lt; .05) and in these voxels linear dependence of fraction anisotropy and age (r = - 0.57, p &lt; .001) was confirmed by regression analysis. This dependence was not proven when using WM anatomical masks (r = -0.21, p = .10). The analytical approach presented shown to be useful for group analysis of DTI data for cervical spinal cord.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30224 - Radiology, nuclear medicine and medical imaging

Project

<a href="/en/project/NV15-32133A" target="_blank" >NV15-32133A: Predicting conversion of clinically isolated syndrome to multiple sclerosis using advanced magnetic resonance imaging techniques</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Magnetic Resonance Imaging

ISSN

0730-725X

e-ISSN

1873-5894

Volume of the periodical

73

Issue of the periodical within the volume

NOV 2020

Country of publishing house

US - UNITED STATES

Number of pages

8

Pages from-to

23-30

UT code for WoS article

000576737000004

EID of the result in the Scopus database

2-s2.0-85089265916