Assessing Cerebral Glucose Metabolism in Patients with Idiopathic Rapid Eye Movement Sleep Behavior Disorder

Abstract

Correction to: Journal of Cerebral Blood Flow and Metabolism advance online publication, 29 July 2015; doi:10.1038/jcbfm.2015.173. Following the online publication of this article, the authors noted that the order of the appearance of affiliations and the information of the correspondence were placed incorrectly. The affiliations of the authors and the order of the correspondence have been reordered as follows: Jingjie Ge2,4, Ping Wu2,4, Shichun Peng3, Huan Yu1, Huiwei Zhang2, Yihui Guan2, David Eidelberg3, Chuantao Zuo2, Yilong Ma3,5, Jian Wang1,5 1Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China; 2PET Center, Huashan Hospital, Fudan University, Shanghai, China and 3Center for Neurosciences, The Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York, USA. Correspondence: Dr J Wang, Department of Neurology, Huashan Hospital, Fudan University, No. 12 Middle Wulumuqi Road, Jing'an District, Shanghai 200040, China or Dr Y Ma, Center for Neurosciences, The Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, New York 11030, USA. 4These authors contributed equally to this work. 5These authors shared senior authorship. E-mail: wangjian336@hotmail.com or yma@nshs.edu

Principal Components Analysis of Brain Metabolism Predicts Development of Alzheimer Dementia

“…In contrast, maps of the SPM t test revealed regional differences in mean values of normalized glucose metabolism. It has been shown consistently that the PCA approach has a higher sensitivity than SPM group comparisons for the detection of brain regions with metabolic changes in neurodegenerative disorders such as AD (23) and Parkinson disease (25) or in subjects with idiopathic rapid eye movement sleep behavior disorder (26,27). These data are further supported by the observation that the PES of the AD-related pattern had a higher accuracy in group discrimination than metabolic changes measured in regions of interest (23,28).…”

Metabolic patterns across core features in dementia with lewy bodies

“…31 We extended this evidence by also highlighting positive covariance for metabolic levels in the insula, MTL, and anterior cingulate and thus further identifying similarities between the present results and the idiopathic RBD-related pattern. 44 Finally, the presence of CFL negatively covaried with bilateral occipital metabolism. CFL have been mainly associated with cholinergic deficit, which is also relevant in DLB and is also claimed to be involved in oscillations of electroencephalogram alpha rhythm frequency recorded over posterior scalp regions.…”

Clinical characteristics of cognitive impairment in patients with Parkinson's disease and its related pattern in 18F‐FDG PET imaging

“…Images were reconstructed by means of a filtered back-projection method. As no blood samples were taken in these subjects according to our clinical imaging protocols we used PET images to measure relative glucose metabolism as described previously (Ge et al, 2015;Wu et al, 2013).…”

“…First, we spatially normalized all 18 F-FDG PET images into a standard stereotactic Montreal Neurological Institute space using the default PET template in SPM and then smoothed the resulting PET scans with an isotropic three-dimensional Gaussian filter with a fullwidth at half-maximum of 10 mm. The relationships between metabolic images and behavioral measures were assessed according to brain mapping procedures we established previously (Liu et al, 2018;Ge et al, 2015;Zuo et al, 2013). In brief, the correlation between PET images and the mean Z-scores of each cognitive domain was analyzed separately, all with two variables (age and UPDRS-III scores) entered as covariates into the model to eliminate the interaction caused by these two factors.…”

“…However, it is pertinent that none of the controls demonstrated cognitive impairment (e.g., MCI) on detailed assessment. Second, FDG PET scans were acquired in the static mode over 10 min which was selected to be consistent with the imaging protocol used in our previous publications (Ge et al, 2015;Wu et al, 2013). It has been known that the concentration data provided by this static imaging method is linearly related to brain glucose metabolism (Carson, 1991).…”