PURPOSE: The aim of the present study was to evaluate the reciprocal relationships between motor impairment, dopaminergic dysfunction, and cerebral metabolism (rCMRglc) in de novo Parkinson's disease (PD) patients. METHODS: Twenty-six de novo untreated PD patients were scanned with (123)I-FP-CIT SPECT and (18)F-FDG PET. The dopaminergic impairment was measured with putaminal (123)I-FP-CIT binding potential (BP), estimated with two different techniques: an iterative reconstruction algorithm (BP(OSEM)) and the least-squares (LS) method (BP(LS)). Statistical parametric mapping (SPM) multiple regression analyses were performed to determine the specific brain regions in which UPDRS III scores and putaminal BP values correlated with rCMRglc. RESULTS: The SPM results showed a negative correlation between UPDRS III and rCMRglc in premotor cortex, and a positive correlation between BP(OSEM) and rCMRglc in premotor and dorsolateral prefrontal cortex, not surviving at multiple comparison correction. Instead, there was a positive significant correlation between putaminal BP(LS) and rCMRglc in premotor, dorsolateral prefrontal, anterior prefrontal, and orbitofrontal cortex (p < 0.05, corrected for multiple comparison). CONCLUSIONS: Putaminal BP(LS) is an efficient parameter for exploring the correlations between PD severity and rCMRglc cortical changes. The correlation between dopaminergic degeneration and rCMRglc in several prefrontal regions likely represents the cortical functional correlate of the dysfunction in the motor basal ganglia-cortical circuit in PD. This finding suggests focusing on the metabolic course of these areas to follow PD progression and to analyze treatment effects.
PURPOSE: The aim of the present study was to evaluate the reciprocal relationships between motor impairment, dopaminergic dysfunction, and cerebral metabolism (rCMRglc) in de novo Parkinson's disease (PD) patients. METHODS: Twenty-six de novo untreated PDpatients were scanned with (123)I-FP-CIT SPECT and (18)F-FDG PET. The dopaminergic impairment was measured with putaminal (123)I-FP-CIT binding potential (BP), estimated with two different techniques: an iterative reconstruction algorithm (BP(OSEM)) and the least-squares (LS) method (BP(LS)). Statistical parametric mapping (SPM) multiple regression analyses were performed to determine the specific brain regions in which UPDRS III scores and putaminal BP values correlated with rCMRglc. RESULTS: The SPM results showed a negative correlation between UPDRS III and rCMRglc in premotor cortex, and a positive correlation between BP(OSEM) and rCMRglc in premotor and dorsolateral prefrontal cortex, not surviving at multiple comparison correction. Instead, there was a positive significant correlation between putaminal BP(LS) and rCMRglc in premotor, dorsolateral prefrontal, anterior prefrontal, and orbitofrontal cortex (p < 0.05, corrected for multiple comparison). CONCLUSIONS: Putaminal BP(LS) is an efficient parameter for exploring the correlations between PD severity and rCMRglc cortical changes. The correlation between dopaminergic degeneration and rCMRglc in several prefrontal regions likely represents the cortical functional correlate of the dysfunction in the motor basal ganglia-cortical circuit in PD. This finding suggests focusing on the metabolic course of these areas to follow PD progression and to analyze treatment effects.
Authors: Robert B Innis; Vincent J Cunningham; Jacques Delforge; Masahiro Fujita; Albert Gjedde; Roger N Gunn; James Holden; Sylvain Houle; Sung-Cheng Huang; Masanori Ichise; Hidehiro Iida; Hiroshi Ito; Yuichi Kimura; Robert A Koeppe; Gitte M Knudsen; Juhani Knuuti; Adriaan A Lammertsma; Marc Laruelle; Jean Logan; Ralph Paul Maguire; Mark A Mintun; Evan D Morris; Ramin Parsey; Julie C Price; Mark Slifstein; Vesna Sossi; Tetsuya Suhara; John R Votaw; Dean F Wong; Richard E Carson Journal: J Cereb Blood Flow Metab Date: 2007-05-09 Impact factor: 6.200
Authors: D Eidelberg; J R Moeller; V Dhawan; P Spetsieris; S Takikawa; T Ishikawa; T Chaly; W Robeson; D Margouleff; S Przedborski Journal: J Cereb Blood Flow Metab Date: 1994-09 Impact factor: 6.200
Authors: V Berti; C Polito; P Borghammer; S Ramat; L Mosconi; E Vanzi; M T De Cristofaro; M De Leon; S Sorbi; A Pupi Journal: Q J Nucl Med Mol Imaging Date: 2012-06 Impact factor: 2.346
Authors: Yanguang Lin; Justin P Haldar; Quanzheng Li; Peter S Conti; Richard M Leahy Journal: IEEE Trans Med Imaging Date: 2013-11-07 Impact factor: 10.048
Authors: G M Petzinger; D P Holschneider; B E Fisher; S McEwen; N Kintz; M Halliday; W Toy; J W Walsh; J Beeler; M W Jakowec Journal: Brain Plast Date: 2015