Kurt Schilling1, Yurui Gao2, Iwona Stepniewska3, Ann S Choe2, Bennett A Landman4, Adam W Anderson2. 1. Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA. Electronic address: kurt.g.schilling@vanderbilt.edu. 2. Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA. 3. Department of Psychology, Vanderbilt University, Nashville, TN, USA. 4. Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Electrical Engineering, Vanderbilt University, Nashville, TN, USA.
Abstract
PURPOSE: Animal models are needed to better understand the relationship between diffusion MRI (dMRI) and the underlying tissue microstructure. One promising model for validation studies is the common squirrel monkey, Saimiri sciureus. This study aims to determine (1) the reproducibility of in vivo diffusion measures both within and between subjects; (2) the agreement between in vivo and ex vivo data acquired from the same specimen and (3) normal diffusion values and their variation across brain regions. METHODS: Data were acquired from three healthy squirrel monkeys, each imaged twice in vivo and once ex vivo. Reproducibility of fractional anisotropy (FA), mean diffusivity (MD), and principal eigenvector (PEV) was assessed, and normal values were determined both in vivo and ex vivo. RESULTS: The calculated coefficients of variation (CVs) for both intra-subject and inter-subject MD were below 10% (low variability) while FA had a wider range of CVs, 2-14% intra-subject (moderate variability), and 3-31% inter-subject (high variability). MD in ex vivo tissue was lower than in vivo (30%-50% decrease), while FA values increased in all regions (30-39% increase). The mode of angular differences between in vivo and ex vivo PEVs was 12 degrees. CONCLUSION: This study characterizes the diffusion properties of the squirrel monkey brain and serves as the groundwork for using the squirrel monkey, both in vivo and ex vivo, as a model for diffusion MRI studies. Copyright Â
PURPOSE: Animal models are needed to better understand the relationship between diffusion MRI (dMRI) and the underlying tissue microstructure. One promising model for validation studies is the common squirrel monkey, Saimiri sciureus. This study aims to determine (1) the reproducibility of in vivo diffusion measures both within and between subjects; (2) the agreement between in vivo and ex vivo data acquired from the same specimen and (3) normal diffusion values and their variation across brain regions. METHODS: Data were acquired from three healthy squirrel monkeys, each imaged twice in vivo and once ex vivo. Reproducibility of fractional anisotropy (FA), mean diffusivity (MD), and principal eigenvector (PEV) was assessed, and normal values were determined both in vivo and ex vivo. RESULTS: The calculated coefficients of variation (CVs) for both intra-subject and inter-subject MD were below 10% (low variability) while FA had a wider range of CVs, 2-14% intra-subject (moderate variability), and 3-31% inter-subject (high variability). MD in ex vivo tissue was lower than in vivo (30%-50% decrease), while FA values increased in all regions (30-39% increase). The mode of angular differences between in vivo and ex vivo PEVs was 12 degrees. CONCLUSION: This study characterizes the diffusion properties of the squirrel monkey brain and serves as the groundwork for using the squirrel monkey, both in vivo and ex vivo, as a model for diffusion MRI studies. Copyright Â
Authors: Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews Journal: Neuroimage Date: 2004 Impact factor: 6.556
Authors: Yurui Gao; Shweta P Khare; Swetasudha Panda; Ann S Choe; Iwona Stepniewska; Xia Li; Zhoahua Ding; Adam Anderson; Bennett A Landman Journal: Proc SPIE Int Soc Opt Eng Date: 2014-03-13
Authors: Karla L Miller; Charlotte J Stagg; Gwenaëlle Douaud; Saad Jbabdi; Stephen M Smith; Timothy E J Behrens; Mark Jenkinson; Steven A Chance; Margaret M Esiri; Natalie L Voets; Ned Jenkinson; Tipu Z Aziz; Martin R Turner; Heidi Johansen-Berg; Jennifer A McNab Journal: Neuroimage Date: 2011-04-05 Impact factor: 6.556
Authors: Bart J Emmer; Jeroen van der Grond; Gerda M Steup-Beekman; Tom W J Huizinga; Mark A van Buchem Journal: PLoS Med Date: 2006-12 Impact factor: 11.069
Authors: Kurt G Schilling; Yurui Gao; Iwona Stepniewska; Vaibhav Janve; Bennett A Landman; Adam W Anderson Journal: Magn Reson Imaging Date: 2018-09-10 Impact factor: 2.546
Authors: Kurt G Schilling; Yurui Gao; Iwona Stepniewska; Vaibhav Janve; Bennett A Landman; Adam W Anderson Journal: NMR Biomed Date: 2019-03-25 Impact factor: 4.044
Authors: Vishwesh Nath; Kurt G Schilling; Prasanna Parvathaneni; Justin Blaber; Allison E Hainline; Zhaohua Ding; Adam Anderson; Bennett A Landman Journal: J Med Imaging (Bellingham) Date: 2018-03-06
Authors: Kurt G Schilling; Vishwesh Nath; Colin Hansen; Prasanna Parvathaneni; Justin Blaber; Yurui Gao; Peter Neher; Dogu Baran Aydogan; Yonggang Shi; Mario Ocampo-Pineda; Simona Schiavi; Alessandro Daducci; Gabriel Girard; Muhamed Barakovic; Jonathan Rafael-Patino; David Romascano; Gaëtan Rensonnet; Marco Pizzolato; Alice Bates; Elda Fischi; Jean-Philippe Thiran; Erick J Canales-Rodríguez; Chao Huang; Hongtu Zhu; Liming Zhong; Ryan Cabeen; Arthur W Toga; Francois Rheault; Guillaume Theaud; Jean-Christophe Houde; Jasmeen Sidhu; Maxime Chamberland; Carl-Fredrik Westin; Tim B Dyrby; Ragini Verma; Yogesh Rathi; M Okan Irfanoglu; Cibu Thomas; Carlo Pierpaoli; Maxime Descoteaux; Adam W Anderson; Bennett A Landman Journal: Neuroimage Date: 2018-10-11 Impact factor: 6.556
Authors: Kurt G Schilling; Yurui Gao; Iwona Stepniewska; Tung-Lin Wu; Feng Wang; Bennett A Landman; John C Gore; Li Min Chen; Adam W Anderson Journal: Neuroinformatics Date: 2017-10
Authors: Kurt G Schilling; Fang-Cheng Yeh; Vishwesh Nath; Colin Hansen; Owen Williams; Susan Resnick; Adam W Anderson; Bennett A Landman Journal: Magn Reson Imaging Date: 2019-01-22 Impact factor: 2.546
Authors: Kurt G Schilling; Vaibhav Janve; Yurui Gao; Iwona Stepniewska; Bennett A Landman; Adam W Anderson Journal: Neuroimage Date: 2017-10-23 Impact factor: 6.556
Authors: Vishwesh Nath; Kurt G Schilling; Samuel Remedios; Roza G Bayrak; Yurui Gao; Justin A Blaber; Yuankai Huo; Bennett A Landman; A W Anderson Journal: Proc IEEE Int Symp Biomed Imaging Date: 2019-07-11
Authors: Mark D Grier; Essa Yacoub; Gregor Adriany; Russell L Lagore; Noam Harel; Ru-Yuan Zhang; Christophe Lenglet; Kâmil Uğurbil; Jan Zimmermann; Sarah R Heilbronner Journal: Neuroimage Date: 2022-04-13 Impact factor: 7.400