Sylvain Poussier1,2, Fatiha Maskali3,4, Gaelle Vexiau5, Antoine Verger3,6,4, Henri Boutley3, Gilles Karcher3,4,7, Emmanuel Raffo5, Pierre-Yves Marie3,4,7. 1. NANCYCLOTEP-Experimental Imaging Platform, F-5400, Nancy, France. sylvain.poussier@univ-lorraine.fr. 2. INSERM, IADI U947 and Lorraine University, F-5400, Nancy, France. sylvain.poussier@univ-lorraine.fr. 3. NANCYCLOTEP-Experimental Imaging Platform, F-5400, Nancy, France. 4. Department of Nuclear Medicine, University Hospital, F-5400, Nancy, France. 5. Department of Neurology, University Hospital, F-5400, Nancy, France. 6. INSERM, IADI U947 and Lorraine University, F-5400, Nancy, France. 7. INSERM U1116 and Lorraine University, F-5400, Nancy, France.
Abstract
PURPOSE: The Statistical Parametric Mapping (SPM) software is frequently used for the quantitative analysis of patients' brain images obtained from 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography ([18F]FDG PET). However, its adaptation to small animals is difficult, particularly for the initial step of spatial normalization which requires a specific brain anatomical template. This study was aimed at determining whether SPM analysis can be applied to rat, and more specifically to the lithium-pilocarpine model of epilepsy, by using an adaptive template. This template developed for PET clinical imaging is constructed from a block matching algorithm. PROCEDURES: SPM analysis of brain [18F]FDG PET images from Sprague-Dawley rats was used with the block matching (BM) adaptive template for the detection of brain abnormalities (1) artificially inserted within the initially normal brain images of 10 rats (50 % decrease in signal intensity within 40 spheres of 0.5 to 1.0 mm in diameter) and (2) occurring at 4 h (n = 16), 48 h (n = 15), and 8 days (n = 13) after lithium-pilocarpine treatment. RESULTS: Concordant positive clusters were documented for all inserted abnormalities, whereas no aberrant clusters were documented in remote brain areas. Positive clusters were also detected on sites known to be involved in the epileptogenesis process of the lithium-pilocarpine model (piriform and entorhinal cortex, hippocampus), with the expected time-specific changes involving an early hypermetabolism followed by a severe hypometabolism and a subsequent partial recovery. CONCLUSION: A quantitative SPM analysis of brain [18F]FDG PET images may be applied to the monitoring of rat brain function when using an adaptive BM template.
PURPOSE: The Statistical Parametric Mapping (SPM) software is frequently used for the quantitative analysis of patients' brain images obtained from 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography ([18F]FDG PET). However, its adaptation to small animals is difficult, particularly for the initial step of spatial normalization which requires a specific brain anatomical template. This study was aimed at determining whether SPM analysis can be applied to rat, and more specifically to the lithium-pilocarpine model of epilepsy, by using an adaptive template. This template developed for PET clinical imaging is constructed from a block matching algorithm. PROCEDURES: SPM analysis of brain [18F]FDG PET images from Sprague-Dawley rats was used with the block matching (BM) adaptive template for the detection of brain abnormalities (1) artificially inserted within the initially normal brain images of 10 rats (50 % decrease in signal intensity within 40 spheres of 0.5 to 1.0 mm in diameter) and (2) occurring at 4 h (n = 16), 48 h (n = 15), and 8 days (n = 13) after lithium-pilocarpine treatment. RESULTS: Concordant positive clusters were documented for all inserted abnormalities, whereas no aberrant clusters were documented in remote brain areas. Positive clusters were also detected on sites known to be involved in the epileptogenesis process of the lithium-pilocarpine model (piriform and entorhinal cortex, hippocampus), with the expected time-specific changes involving an early hypermetabolism followed by a severe hypometabolism and a subsequent partial recovery. CONCLUSION: A quantitative SPM analysis of brain [18F]FDG PET images may be applied to the monitoring of rat brain function when using an adaptive BM template.
Authors: Pasquale Anthony Della Rosa; Chiara Cerami; Francesca Gallivanone; Annapaola Prestia; Anna Caroli; Isabella Castiglioni; Maria Carla Gilardi; Giovanni Frisoni; Karl Friston; John Ashburner; Daniela Perani Journal: Neuroinformatics Date: 2014-10
Authors: Cindy Casteels; Peter Vermaelen; Johan Nuyts; Annemie Van Der Linden; Veerle Baekelandt; Luc Mortelmans; Guy Bormans; Koen Van Laere Journal: J Nucl Med Date: 2006-11 Impact factor: 10.057
Authors: Antoine Verger; Yalcin Yagdigul; Axel Van Der Gucht; Sylvain Poussier; Eric Guedj; Louis Maillard; Grégoire Malandain; Gabriela Hossu; Renaud Fay; Gilles Karcher; Pierre-Yves Marie Journal: Ann Nucl Med Date: 2016-02-03 Impact factor: 2.668
Authors: Hans J C Buiter; Floris H P van Velden; Josée E Leysen; Abraham Fisher; Albert D Windhorst; Adriaan A Lammertsma; Marc C Huisman Journal: Int J Mol Imaging Date: 2012-09-23