FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320186431> ?p ?o ?g. }

• W4320186431 endingPage "1416" @default.
• W4320186431 startingPage "1399" @default.
• W4320186431 abstract "The cerebellum and cerebral cortex form the most important cortico-cerebellar system in the brain. However, diffusion magnetic resonance imaging (MRI)-based tractography of the connecting white matter between the cerebellum and cerebral cortex, which support language function, has not been extensively reported on. This work aims to serve as a guideline for facilitating the analysis of white matter tracts along the language-related cerebro-cerebellar pathway (LRCCP), which includes the corticopontine, pontocerebellar, corticorubral, rubroolivary, olivocerebellar, and dentatorubrothalamic tracts.The LRCCP templates were developed via processing the high-resolution, population-averaged atlas available in the Human Connectome Project (HCP)-1065 dataset (2017 Q4, 1,200-subject release) in DSI Studio. The deterministic tracking was performed with the manually selected regions of interest (ROIs) on this atlas according to prior anatomic knowledge. Templates were then applied to the MRI datasets of 30 health participants acquired from a single hospital to verify the practicability of the tracking. The diffusion tensor and shape analysis metrics were calculated for all LRCCP tracts. Differences in the tracking metrics between the left and right hemispheres were compared, and the related white matter asymmetry was discussed.The LRCCP templates were successfully created and applied to healthy participants for quantitative analysis. Significantly higher mean fractional anisotropy (FA) values were discovered on the left (L) corticorubral tract [L, 0.43±0.02 vs. right (R), 0.41±0.02; P<0.01] and left dentatorubrothalamic tract (L, 0.47±0.02 vs. R, 0.46±0.02; P<0.01). Significant differences in tract volume and streamline number were observed between the corticopontine, corticorubral, and dentatorubrothalamic tracts. The size of the right corticopontine and corticorubral tracts were smaller, and both had smaller streamline numbers and innervation areas when compared with the contralateral sides. The R dentatorubrothalamic tract showed a larger volume (R, 23,582.47±4,160.71 mm3vs. L, 19,821.27±2,983.91 mm3; P<0.01) and innervation area (R, 2,117.37±433.98 mm2vs. L, 1,610.00±356.19 mm2; P<0.01) than did the L side. No significant differences were observed in the rubroolivary tracts.This work suggests the feasibility of applying tractography templates of the LRCCP to quantitatively evaluate white matter properties associated with language function. Lateralized diffusion metrics were observed in preliminary experiments. LRCCP tractography-based research may provide a potential quantitative method to better understanding neuroplasticity." @default.
• W4320186431 created "2023-02-13" @default.
• W4320186431 creator A5010275776 @default.
• W4320186431 creator A5027586148 @default.
• W4320186431 creator A5030446424 @default.
• W4320186431 creator A5037081590 @default.
• W4320186431 creator A5038816109 @default.
• W4320186431 creator A5051434566 @default.
• W4320186431 creator A5079594267 @default.
• W4320186431 creator A5086664284 @default.
• W4320186431 date "2023-03-01" @default.
• W4320186431 modified "2023-10-01" @default.
• W4320186431 title "The language-related cerebro-cerebellar pathway in humans: a diffusion imaging–based tractographic study" @default.
• W4320186431 cites W1498871605 @default.
• W4320186431 cites W1902195748 @default.
• W4320186431 cites W1968573637 @default.
• W4320186431 cites W1979480286 @default.
• W4320186431 cites W1981786093 @default.
• W4320186431 cites W1984367949 @default.
• W4320186431 cites W1986739789 @default.
• W4320186431 cites W1996361250 @default.
• W4320186431 cites W1997222702 @default.
• W4320186431 cites W1999890357 @default.
• W4320186431 cites W2006757138 @default.
• W4320186431 cites W2009927339 @default.
• W4320186431 cites W2010831993 @default.
• W4320186431 cites W2011799352 @default.
• W4320186431 cites W2019150563 @default.
• W4320186431 cites W2019307288 @default.
• W4320186431 cites W2024729467 @default.
• W4320186431 cites W203040880 @default.
• W4320186431 cites W2042691904 @default.
• W4320186431 cites W2057956003 @default.
• W4320186431 cites W2072322461 @default.
• W4320186431 cites W2077760043 @default.
• W4320186431 cites W2091094822 @default.
• W4320186431 cites W2095852295 @default.
• W4320186431 cites W2098598592 @default.
• W4320186431 cites W2100675752 @default.
• W4320186431 cites W2102753837 @default.
• W4320186431 cites W2112875298 @default.
• W4320186431 cites W2121782025 @default.
• W4320186431 cites W2122410839 @default.
• W4320186431 cites W2123672494 @default.
• W4320186431 cites W2126919482 @default.
• W4320186431 cites W2136260958 @default.
• W4320186431 cites W2137918406 @default.
• W4320186431 cites W2156295356 @default.
• W4320186431 cites W2160672939 @default.
• W4320186431 cites W2170172094 @default.
• W4320186431 cites W2170241365 @default.
• W4320186431 cites W2398730921 @default.
• W4320186431 cites W2501845058 @default.
• W4320186431 cites W2545695527 @default.
• W4320186431 cites W2612852092 @default.
• W4320186431 cites W2751714902 @default.
• W4320186431 cites W2762740964 @default.
• W4320186431 cites W2772869482 @default.
• W4320186431 cites W2774545198 @default.
• W4320186431 cites W2803837136 @default.
• W4320186431 cites W2807980527 @default.
• W4320186431 cites W28341913 @default.
• W4320186431 cites W2884124507 @default.
• W4320186431 cites W2891995230 @default.
• W4320186431 cites W2916276554 @default.
• W4320186431 cites W2948714962 @default.
• W4320186431 cites W2952911685 @default.
• W4320186431 cites W2990559138 @default.
• W4320186431 cites W3039164517 @default.
• W4320186431 cites W3080288479 @default.
• W4320186431 cites W3082265123 @default.
• W4320186431 cites W3157301560 @default.
• W4320186431 cites W3183935858 @default.
• W4320186431 cites W3216957901 @default.
• W4320186431 doi "https://doi.org/10.21037/qims-22-303" @default.
• W4320186431 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36915351" @default.
• W4320186431 hasPublicationYear "2023" @default.
• W4320186431 type Work @default.
• W4320186431 citedByCount "0" @default.
• W4320186431 crossrefType "journal-article" @default.
• W4320186431 hasAuthorship W4320186431A5010275776 @default.
• W4320186431 hasAuthorship W4320186431A5027586148 @default.
• W4320186431 hasAuthorship W4320186431A5030446424 @default.
• W4320186431 hasAuthorship W4320186431A5037081590 @default.
• W4320186431 hasAuthorship W4320186431A5038816109 @default.
• W4320186431 hasAuthorship W4320186431A5051434566 @default.
• W4320186431 hasAuthorship W4320186431A5079594267 @default.
• W4320186431 hasAuthorship W4320186431A5086664284 @default.
• W4320186431 hasBestOaLocation W43201864311 @default.
• W4320186431 hasConcept C105702510 @default.
• W4320186431 hasConcept C126838900 @default.
• W4320186431 hasConcept C143409427 @default.
• W4320186431 hasConcept C149550507 @default.
• W4320186431 hasConcept C15744967 @default.
• W4320186431 hasConcept C169760540 @default.
• W4320186431 hasConcept C2778583998 @default.
• W4320186431 hasConcept C2779652256 @default.
• W4320186431 hasConcept C2779734523 @default.

• next