Age-associated reorganization of metabolic brain connectivity in Chinese children

Huang, Qi; Zhang, Jian; Zhang, Tianhao; Wang, Hui; Yan, Jianhua

doi:10.1007/s00259-019-04508-z

Cited by 8 publications

(3 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Common approaches are 1) removal of connections below a minimum connection weight, 57 2) removal of connections below a desired density/sparsity, 58 where the sparsity is defined as the number of null elements in its matrix divided by the total number of elements, 50 and 3) removal of connections above certain p -values of correlation coefficients. 23 , 31 While the approaches 1) and 3) produce networks with a different number of connections, 2) produces networks with the same number of connections but a different minimum weight. As the spatial overlap between binary networks is affected by their sparsity, but independent of the connection weight, we decided to use the approach 2).…”

Section: Methodsmentioning

confidence: 99%

“… 28 Instead, we now propose the term FDG cov , inter-subject covariance of regional FDG-PET measures, to discriminate it from connectivity estimates from functional PET. 29 FDG cov was found to provide valuable insights into healthy brain function 30 , 31 as well as into pathophysiology and diagnosis of numerous neuropsychiatric disorders. 22 , 32 – 36 So far, only one study has mapped FDG cov to SC.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Similarity between structural and proxy estimates of brain connectivity

Lizarraga,

Ripp,

Sala

et al. 2023

J Cereb Blood Flow Metab

View full text Add to dashboard Cite

Functional magnetic resonance and diffusion weighted imaging have so far made a major contribution to delineation of the brain connectome at the macroscale. While functional connectivity (FC) was shown to be related to structural connectivity (SC) to a certain degree, their spatial overlap is unknown. Even less clear are relations of SC with estimates of connectivity from inter-subject covariance of regional F18-fluorodeoxyglucose uptake (FDGcov) and grey matter volume (GMVcov). Here, we asked to what extent SC underlies three proxy estimates of brain connectivity: FC, FDGcov and GMVcov. Simultaneous PET/MR acquisitions were performed in 56 healthy middle-aged individuals. Similarity between four networks was assessed using Spearman correlation and convergence ratio (CR), a measure of spatial overlap. Spearman correlation coefficient was 0.27 for SC-FC, 0.40 for SC-FDGcov, and 0.15 for SC-GMVcov. Mean CRs were 51% for SC-FC, 48% for SC-FDGcov, and 37% for SC-GMVcov. These results proved to be reproducible and robust against image processing steps. In sum, we found a relevant similarity of SC with FC and FDGcov, while GMVcov consistently showed the weakest similarity. These findings indicate that white matter tracts underlie FDGcov to a similar degree as FC, supporting FDGcov as estimate of functional brain connectivity.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Similarity between structural and proxy estimates of brain connectivity

Lizarraga,

Ripp,

Sala

et al. 2023

J Cereb Blood Flow Metab

View full text Add to dashboard Cite

show abstract

“…Relative to simple tests for regional metabolic patterns due to physiologic and pathologic activity, FDG metabolic brain networks would evaluate the property changes of the system globally as well as the relationships among local brain regions at the whole brain level, which is a significant advantage of this method to reveal the mechanisms of complex systems ( Yakushev et al, 2017 ). Nowadays, metabolic brain networks based on FDG-PET images have been emerging as a useful tool in basic and clinical neuroscience ( Zhang et al, 2019 ; Huang et al, 2020 ). In this study, to determine the roles of RSCg and RSCd during CFC of rat model, combining pharmacological approaches with [ 18 F]-fluorodeoxyglucose positron emission tomography/computed tomography ( 18 F-FDG PET/CT) imaging and brain network methods, we investigated their effects and the underlying network mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Retrosplenial Cortex Effects Contextual Fear Formation Relying on Dysgranular Constituent in Rats

Pan

Liu

et al. 2022

Front. Neurosci.

View full text Add to dashboard Cite

Animal contextual fear conditioning (CFC) models are the most-studied forms used to explore the neural substances of posttraumatic stress disorder (PTSD). In addition to the well-recognized hippocampal–amygdalar system, the retrosplenial cortex (RSC) is getting more and more attention due to substantial involvement in CFC, but with a poor understanding of the specific roles of its two major constituents—dysgranular (RSCd) and granular (RSCg). The current study sought to identify their roles and underlying brain network mechanisms during the encoding processing of the rat CFC model. Rats with pharmacologically inactivated RSCd, RSCg, and corresponding controls underwent contextual fear conditioning. [18F]-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) scanning was performed for each animal. The 5-h and 24-h retrieval were followed to test the formation of contextual memory. Graph theoretic tools were used to identify the brain metabolic network involved in encoding phase, and changes of nodal (brain region) properties linked, respectively, to disturbed RSCd and RSCg were analyzed. Impaired retrieval occurred in disturbed RSCd animals, not in RSCg ones. The RSC, hippocampus (Hip), amygdala (Amy), piriform cortex (Pir), and visual cortex (VC) are hub nodes of the brain-wide network for contextual fear memory encoding in rats. Nodal degree and efficiency of hippocampus and its connectivity with amygdala, Pir, and VC were decreased in rats with disturbed RSCd, while not in those with suppressed RSCg. The RSC plays its role in contextual fear memory encoding mainly relying on its RSCd part, whose condition would influence the activity of the hippocampal–amygdalar system.

show abstract

Semiquantitative analysis of cerebral [18F]FDG-PET uptake in pediatric patients

Cruz-Cortes,

Avendaño-Estrada,

Alcauter

et al. 2023

Pediatr Radiol

View full text Add to dashboard Cite

Background Glycolytic metabolism in the brain of pediatric patients, imaged with [18F] fluorodeoxyglucose-positron emission tomography (FDG-PET) is incompletely characterized. Objective The purpose of the current study was to characterize [18F]FDG-PET brain uptake in a large sample of pediatric patients with non-central nervous system diseases as an alternative to healthy subjects to evaluate changes at different pediatric ages. Materials and Methods Seven hundred ninety-five [18F]FDG-PET examinations from children < 18 years of age without central nervous system diseases were included. Each brain image was spatially normalized, and the standardized uptake value (SUV) was obtained. The SUV and the SUV relative to different pseudo-references were explored as a function of age. Results At all evaluated ages, the occipital lobe showed the highest [18F]FDG uptake (0.27 ± 0.04 SUV/year), while the parietal lobe and brainstem had the lowest uptake (0.17 ± 0.02 SUV/year, for both regions). An increase [18F]FDG uptake was found for all brain regions until 12 years old, while no significant uptake differences were found between ages 13 (SUV = 5.39) to 17 years old (SUV = 5.52) (P < 0.0001 for the whole brain). A sex dependence was found in the SUVmean for the whole brain during adolescence (SUV 5.04–5.25 for males, 5.68–5.74 for females, P = 0.0264). Asymmetries in [18F]FDG uptake were found in the temporal and central regions during infancy. Conclusions Brain glycolytic metabolism of [18F]FDG, measured through the SUVmean, increased with age until early adolescence (< 13 years old), showing differences across brain regions. Age, sex, and brain region influence [18F]FDG uptake, with significant hemispheric asymmetries for temporal and central regions. Graphical Abstract

show abstract

Age-associated reorganization of metabolic brain connectivity in Chinese children

Cited by 8 publications

References 48 publications

Similarity between structural and proxy estimates of brain connectivity

Similarity between structural and proxy estimates of brain connectivity

Retrosplenial Cortex Effects Contextual Fear Formation Relying on Dysgranular Constituent in Rats

Semiquantitative analysis of cerebral [18F]FDG-PET uptake in pediatric patients

Contact Info

Product

Resources

About