Yilong Ma1, Tom H Johnston2, Shichun Peng1, Chuantao Zuo3, James B Koprich2, Susan H Fox4, Yihui Guan3, David Eidelberg1, Jonathan M Brotchie2. 1. Center for Neurosciences, the Feinstein Institute fo Medical Research, Manhasset, NY, USA. 2. Toronto Western Research Institute, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada. 3. PET Center of Huashan Hospital, Fudan University, Shanghai, China. 4. Movement Disorder Clinic, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.
Abstract
BACKGROUND: We have previously defined a parkinsonism-related metabolic brain network in rhesus macaques using a high-resolution research positron emission tomography camera. This brief article reports a descriptive pilot study to assess the reproducibility of network activity and regional glucose metabolism in independent parkinsonian macaques using a clinical positron emission tomography/CT camera. METHODS: [(18)F]fluorodeoxyglucose PET scans were acquired longitudinally over 3 months in three drug-naïve parkinsonian and three healthy control cynomolgus macaques. Group difference and test-retest stability in network activity and regional glucose metabolism were evaluated graphically, using all brain images from these macaques. RESULTS: Comparing the parkinsonian macaques with the controls, network activity was elevated and remained stable over 3 months. Normalized glucose metabolism increased in putamen/globus pallidus and sensorimotor regions but decreased in posterior parietal cortices. CONCLUSIONS: Parkinsonism-related network activity can be reliably quantified in different macaques with a clinical positron emission tomography/CT scanner and is reproducible over a period typically employed in preclinical intervention studies. This measure can be a useful biomarker of disease process or drug effects in primate models of Parkinson's disease.
BACKGROUND: We have previously defined a parkinsonism-related metabolic brain network in rhesus macaques using a high-resolution research positron emission tomography camera. This brief article reports a descriptive pilot study to assess the reproducibility of network activity and regional glucose metabolism in independent parkinsonian macaques using a clinical positron emission tomography/CT camera. METHODS: [(18)F]fluorodeoxyglucose PET scans were acquired longitudinally over 3 months in three drug-naïve parkinsonian and three healthy control cynomolgus macaques. Group difference and test-retest stability in network activity and regional glucose metabolism were evaluated graphically, using all brain images from these macaques. RESULTS: Comparing the parkinsonian macaques with the controls, network activity was elevated and remained stable over 3 months. Normalized glucose metabolism increased in putamen/globus pallidus and sensorimotor regions but decreased in posterior parietal cortices. CONCLUSIONS:Parkinsonism-related network activity can be reliably quantified in different macaques with a clinical positron emission tomography/CT scanner and is reproducible over a period typically employed in preclinical intervention studies. This measure can be a useful biomarker of disease process or drug effects in primate models of Parkinson's disease.
Authors: Céline Guigoni; Qin Li; Incarnation Aubert; Sandra Dovero; Bernard H Bioulac; Bertrand Bloch; Alan R Crossman; Christian E Gross; Erwan Bezard Journal: J Neurosci Date: 2005-02-23 Impact factor: 6.167
Authors: Marco Brambilla; Chiara Secco; Marco Dominietto; Roberta Matheoud; Gianmauro Sacchetti; Eugenio Inglese Journal: J Nucl Med Date: 2005-12 Impact factor: 10.057
Authors: Hugo W A M de Jong; Floris H P van Velden; Reina W Kloet; Fred L Buijs; Ronald Boellaard; Adriaan A Lammertsma Journal: Phys Med Biol Date: 2007-02-14 Impact factor: 3.609
Authors: Jose A Obeso; Concepcio Marin; C Rodriguez-Oroz; Javier Blesa; B Benitez-Temiño; Juan Mena-Segovia; Manuel Rodríguez; C Warren Olanow Journal: Ann Neurol Date: 2008-12 Impact factor: 10.422
Authors: Marina E Emborg; Maren Carbon; James E Holden; Matthew J During; Yilong Ma; Chengke Tang; Jeffrey Moirano; Helen Fitzsimons; Ben Z Roitberg; Eray Tuccar; Andrew Roberts; Michael G Kaplitt; David Eidelberg Journal: J Cereb Blood Flow Metab Date: 2006-07-12 Impact factor: 6.200
Authors: Thomas Eckert; Anna Barnes; Vijay Dhawan; Steve Frucht; Mark F Gordon; Andrew S Feigin; D Eidelberg Journal: Neuroimage Date: 2005-04-26 Impact factor: 6.556