2021
DOI: 10.1016/j.exger.2021.111432
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MRI characterization of rat brain aging at structural and functional level: Clues for translational applications

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Cited by 2 publications
(3 citation statements)
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“…However, we believe that this important parameter affects the accuracy of the measurement ( Boyko et al, 2019b ; Kuts et al, 2019a ) and therefore was used in our protocol. It should also be mentioned that this parameter is influenced by many factors, including the size of the brain ( Yushmanov et al, 2002 ; Purushotham et al, 2015 ), brain region ( Yuan et al, 2017 ), model of the disease under study ( Bardutzky et al, 2005 ; Albrecht et al, 2019 ) and age-related trends in the rat ( Bardutzky et al, 2005 ; Bontempi et al, 2021 ). We used the recommended optimal threshold parameters for correction of ADC maps ( Benveniste et al, 1992 ; Yushmanov et al, 2002 ; Meng et al, 2004 ; Bra et al, 2009 ), which have been tested in rat ischemia models ( Boyko et al, 2019b ).…”
Section: Discussionmentioning
confidence: 99%
“…However, we believe that this important parameter affects the accuracy of the measurement ( Boyko et al, 2019b ; Kuts et al, 2019a ) and therefore was used in our protocol. It should also be mentioned that this parameter is influenced by many factors, including the size of the brain ( Yushmanov et al, 2002 ; Purushotham et al, 2015 ), brain region ( Yuan et al, 2017 ), model of the disease under study ( Bardutzky et al, 2005 ; Albrecht et al, 2019 ) and age-related trends in the rat ( Bardutzky et al, 2005 ; Bontempi et al, 2021 ). We used the recommended optimal threshold parameters for correction of ADC maps ( Benveniste et al, 1992 ; Yushmanov et al, 2002 ; Meng et al, 2004 ; Bra et al, 2009 ), which have been tested in rat ischemia models ( Boyko et al, 2019b ).…”
Section: Discussionmentioning
confidence: 99%
“…RsfMRI data were first corrected for susceptibility‐induced distortions with topup using the reversed phase‐encode blips images. The preprocessing was then carried out similarly to our previous work 26,27 . Briefly, the preprocessing was run with the MELODIC tool of FSL and consisted of motion correction, slice timing correction, and spatial smoothing with a full width at half maximum of 5.0 mm.…”
Section: Methodsmentioning
confidence: 99%
“…The preprocessing was then carried out similarly to our previous work. 26,27 Briefly, the preprocessing was run with the MELODIC tool of FSL and consisted of motion correction, slice timing correction, and spatial smoothing with a full width at half maximum of 5.0 mm. Functional data were then analyzed with independent component analysis (ICA) and the resulting components were manually labeled as true signal or noise in 14 subjects (seven CTR and seven EAE) randomly chosen in our dataset-artifact signals, 28,29 to identify the RSNs in the functional data and to regress out the noise from the full dataset (84 MRI acquisitions).…”
Section: Mr Image Processingmentioning
confidence: 99%