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European Journal of Nuclear Medicine and Molecular Imaging

Erschienen in:

13.09.2019 | Original Article

Age-associated reorganization of metabolic brain connectivity in Chinese children

verfasst von: Qi Huang, Jian Zhang, Tianhao Zhang, Hui Wang, Jianhua Yan

Erschienen in: European Journal of Nuclear Medicine and Molecular Imaging | Ausgabe 2/2020

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Abstract

Purpose

The human brain develops rapidly from infant to adolescent. Establishment of the brain developmental trajectory is important to understand cognition, behavior, and emotions, as well to evaluate the risk of neuropsychiatric disorders. ¹⁸F-FDG PET has been widely used to study brain glucose metabolism, but functional brain segregation and integration based on ¹⁸F-FDG PET remains largely unknown.

Methods

Two hundred one Chinese child patients with extracranial malignancy were retrospectively enrolled as surrogates to healthy children. All images were spatially normalized into MNI space using pediatric brain template, and the 18F-FDG uptakes were calculated for 90 regions using AAL atlas. The group-level metabolic brain network was constructed by measuring Pearson correlation coefficients between each pair of brain regions in an inter-subject manner for infant (1 to 4 years), childhood (5 to 8 years), early adolescent (9 to 12 years), and adolescent (13 to 18 years) group, respectively. Global efficiency of each group was calculated, and the modular architectures were detected by a greedy algorithm.

Results

Both metabolic brain network connectivity and global efficiency increased with aging. Brain network was grouped into 4, 6, 4, and 4 modules from infant to adolescent, respectively. The modular architecture dramatically reorganized from childhood to early adolescent. The hubs spatiotemporally rewired. The ratio of the connector hub to the provincial hub increased from infant to early adolescent, but decreased during the adolescent period.

Conclusions

The topological properties and modular reorganization of human brain network dramatically changed with age, especially from childhood to early adolescence. These findings would help understand the Chinese developmental trajectory of human brain functional integration and segregation.

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Titel: Age-associated reorganization of metabolic brain connectivity in Chinese children
verfasst von: Qi Huang
Jian Zhang
Tianhao Zhang
Hui Wang
Jianhua Yan
Publikationsdatum: 13.09.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: European Journal of Nuclear Medicine and Molecular Imaging / Ausgabe 2/2020
Print ISSN: 1619-7070
Elektronische ISSN: 1619-7089
DOI: https://doi.org/10.1007/s00259-019-04508-z

Springer Medizin

Abstract

Purpose

Methods

Results

Conclusions

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