FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2340607324> ?p ?o ?g. }

• W2340607324 endingPage "832" @default.
• W2340607324 startingPage "817" @default.
• W2340607324 abstract "Being able to finely characterize the spinal cord (SC) microstructure and its alterations is a key point when investigating neural damage mechanisms encountered in different central nervous system (CNS) pathologies, such as multiple sclerosis, amyotrophic lateral sclerosis or myelopathy. Based on novel methods, including inhomogeneous magnetization transfer (ihMT) and dedicated SC probabilistic atlas post-processing, the present study focuses on the in vivo characterization of the healthy SC tissue in terms of regional microstructure differences between (i) upper and lower cervical vertebral levels and (ii) sensory and motor tracts, as well as differences attributed to normal aging. Forty-eight healthy volunteers aged from 20 to 70 years old were included in the study and scanned at 3 T using axial high-resolution T2 *-w imaging, diffusion tensor imaging (DTI) and ihMT, at two vertebral levels (C2 and C5). A processing pipeline with minimal user intervention, SC segmentation and spatial normalization into a reference space was implemented in order to assess quantitative morphological and structural parameters (cross-sectional areas, scalar DTI and MT/ihMT metrics) in specific white and gray matter regions of interest. The multi-parametric MRI metrics collected allowed upper and lower cervical levels to be distinguished, with higher ihMT ratio (ihMTR), higher axial diffusivity (λ∥ ) and lower radial diffusivity (λ⊥ ) at C2 compared with C5. Significant differences were also observed between white matter fascicles, with higher ihMTR and lower λ∥ in motor tracts compared with posterior sensory tracts. Finally, aging was found to be associated with significant metric alterations (decreased ihMTR and λ∥ ). The methodology proposed here, which can be easily transferred to the clinic, provides new insights for SC characterization. It bears great potential to study focal and diffuse SC damage in neurodegenerative and demyelinating diseases. Copyright © 2016 John Wiley & Sons, Ltd." @default.
• W2340607324 created "2016-06-24" @default.
• W2340607324 creator A5010146355 @default.
• W2340607324 creator A5018870239 @default.
• W2340607324 creator A5024751585 @default.
• W2340607324 creator A5026990671 @default.
• W2340607324 creator A5032241522 @default.
• W2340607324 creator A5072799008 @default.
• W2340607324 creator A5088829522 @default.
• W2340607324 creator A5091400465 @default.
• W2340607324 date "2016-04-21" @default.
• W2340607324 modified "2023-10-14" @default.
• W2340607324 title "Tract-specific and age-related variations of the spinal cord microstructure: a multi-parametric MRI study using diffusion tensor imaging (DTI) and inhomogeneous magnetization transfer (ihMT)" @default.
• W2340607324 cites W1496228194 @default.
• W2340607324 cites W1578867316 @default.
• W2340607324 cites W1588015863 @default.
• W2340607324 cites W1588899353 @default.
• W2340607324 cites W1760368292 @default.
• W2340607324 cites W1928361585 @default.
• W2340607324 cites W1947057053 @default.
• W2340607324 cites W1964802316 @default.
• W2340607324 cites W1970713332 @default.
• W2340607324 cites W1970928383 @default.
• W2340607324 cites W1973109251 @default.
• W2340607324 cites W1981453697 @default.
• W2340607324 cites W1984134121 @default.
• W2340607324 cites W1984605529 @default.
• W2340607324 cites W1984898090 @default.
• W2340607324 cites W1991745331 @default.
• W2340607324 cites W1995979768 @default.
• W2340607324 cites W2000262961 @default.
• W2340607324 cites W2002104428 @default.
• W2340607324 cites W2006096283 @default.
• W2340607324 cites W2006458229 @default.
• W2340607324 cites W2008774262 @default.
• W2340607324 cites W2025502426 @default.
• W2340607324 cites W2032254014 @default.
• W2340607324 cites W2032380269 @default.
• W2340607324 cites W2033804014 @default.
• W2340607324 cites W2045674645 @default.
• W2340607324 cites W2047152236 @default.
• W2340607324 cites W2048658636 @default.
• W2340607324 cites W2051425225 @default.
• W2340607324 cites W2054130199 @default.
• W2340607324 cites W2056505879 @default.
• W2340607324 cites W2057496591 @default.
• W2340607324 cites W2057648503 @default.
• W2340607324 cites W2062071865 @default.
• W2340607324 cites W2062776012 @default.
• W2340607324 cites W2063021827 @default.
• W2340607324 cites W2063213455 @default.
• W2340607324 cites W2065829667 @default.
• W2340607324 cites W2066517499 @default.
• W2340607324 cites W2070424326 @default.
• W2340607324 cites W2076886527 @default.
• W2340607324 cites W2079563759 @default.
• W2340607324 cites W2080737598 @default.
• W2340607324 cites W2089346380 @default.
• W2340607324 cites W2093302843 @default.
• W2340607324 cites W2103755103 @default.
• W2340607324 cites W2109307298 @default.
• W2340607324 cites W2113358261 @default.
• W2340607324 cites W2114409992 @default.
• W2340607324 cites W2116823839 @default.
• W2340607324 cites W2118879132 @default.
• W2340607324 cites W2123348584 @default.
• W2340607324 cites W2128266633 @default.
• W2340607324 cites W2132642115 @default.
• W2340607324 cites W2135600521 @default.
• W2340607324 cites W2136388857 @default.
• W2340607324 cites W2142447573 @default.
• W2340607324 cites W2146571387 @default.
• W2340607324 cites W2147121413 @default.
• W2340607324 cites W2148360587 @default.
• W2340607324 cites W2156499354 @default.
• W2340607324 cites W2162723250 @default.
• W2340607324 cites W2166602371 @default.
• W2340607324 cites W2167630042 @default.
• W2340607324 cites W2298905820 @default.
• W2340607324 cites W2328861831 @default.
• W2340607324 cites W254543832 @default.
• W2340607324 cites W2977883299 @default.
• W2340607324 cites W838115849 @default.
• W2340607324 doi "https://doi.org/10.1002/nbm.3530" @default.
• W2340607324 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27100385" @default.
• W2340607324 hasPublicationYear "2016" @default.
• W2340607324 type Work @default.
• W2340607324 sameAs 2340607324 @default.
• W2340607324 citedByCount "56" @default.
• W2340607324 countsByYear W23406073242016 @default.
• W2340607324 countsByYear W23406073242017 @default.
• W2340607324 countsByYear W23406073242018 @default.
• W2340607324 countsByYear W23406073242019 @default.
• W2340607324 countsByYear W23406073242020 @default.
• W2340607324 countsByYear W23406073242021 @default.
• W2340607324 countsByYear W23406073242022 @default.
• W2340607324 countsByYear W23406073242023 @default.
• W2340607324 crossrefType "journal-article" @default.

• next