FDG-PET Neuroimaging Protocol for Spatial Normalization

FDG-PET was acquired using a Discovery Elite PET/CT scanner (GE Healthcare, Chicago, IL, United States) prior to surgical resection. Images were acquired in 3 dimensions over a 60-min time period, following the scanning protocol described by Tang et al. (2018) (link). Images were reconstructed with an ordered subset expectation maximization algorithm with 6 iterations and 6 subset methods. Individual FDG-PET image volumes were spatially normalized into standard stereotactic Montreal Neurological Institute (MNI) space with linear and nonlinear 3D transformations using statistical parametric mapping software (SPM, Wellcome Department of Cognitive Neurology, London, United Kingdom) on MATLAB (MathWorks, Natick, MA, United States). To facilitate comparison across all participants, the intensity of images was globally normalized. After that, the automated anatomical labeling (AAL) (Tzourio-Mazoyer et al., 2002 (link)) atlas was applied to segment the cerebral cortex into 90 regions (45 for each hemisphere without the cerebellum).

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Zhu Z., Zhang Z., Gao X., Feng L., Chen D., Yang Z, & Hu S. (2022). Individual Brain Metabolic Connectome Indicator Based on Jensen-Shannon Divergence Similarity Estimation Predicts Seizure Outcomes of Temporal Lobe Epilepsy. Frontiers in Cell and Developmental Biology, 9, 803800.

Publication 2021

Discovery Elite PET/CT scanner MATLAB

Cerebellum Cerebral cortex Cognitive Ct scanner Surgical

Corresponding Organization :

Other organizations : Guangzhou Blood Center, Shanghai Medical Information Center, Xiangya Hospital Central South University, Central South University

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Variable analysis

independent variables

None explicitly mentioned

dependent variables

FDG-PET image volumes

control variables

Discovery Elite PET/CT scanner (GE Healthcare, Chicago, IL, United States)
Scanning protocol described by Tang et al. (2018)
Ordered subset expectation maximization algorithm with 6 iterations and 6 subset methods
Statistical parametric mapping software (SPM, Wellcome Department of Cognitive Neurology, London, United Kingdom) on MATLAB (MathWorks, Natick, MA, United States)
Automated anatomical labeling (AAL) atlas to segment the cerebral cortex into 90 regions (45 for each hemisphere without the cerebellum)

positive controls

None specified

negative controls

None specified

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