Cross-modality comparison between structural and metabolic networks in individual brain based on the Jensen-Shannon divergence method: a healthy Chinese population study-Reference-Cited by-同舟云学术

Cross-modality comparison between structural and metabolic networks in individual brain based on the Jensen-Shannon divergence method: a healthy Chinese population study

Published:2023-02-07 Issue: Volume: Page:
ISSN:1863-2661
Container-title:Brain Structure and Function
language:en
Short-container-title:Brain Struct Funct

Author:

Li Yu-Lin,Zheng Mou-Xiong,Hua Xu-Yun,Gao Xin,Wu Jia-Jia,Shan Chun-Lei,Zhang Jun-Peng,Wei Dong,Xu Jian-Guang

Funder

National Natural Science Foundation of China

Shanghai Science and Technology Committee

Shanghai Rising-Star Program

Shanghai Municipal Commission of Health and Family Planning

Shanghai Youth Top Talent Development Plan and Shanghai "Rising Stars of Medical Talent" Youth Development Program

the National Key R&D Program of China

Program of Shanghai Academic Research Leader

Publisher

Springer Science and Business Media LLC

Subject

Histology,General Neuroscience,Anatomy

Link

https://link.springer.com/content/pdf/10.1007/s00429-023-02616-z.pdf

Reference66 articles.

1. Achard S, Bullmore E (2007) Efficiency and cost of economical brain functional networks. PLoS Comput Biol 3(2):e17

2. Anderson MC, Floresco SB (2022) Prefrontal-hippocampal interactions supporting the extinction of emotional memories: the retrieval stopping model. Neuropsychopharmacology 47(1):180–195

3. Arnemann KL, Stöber F, Narayan S, Rabinovici GD, Jagust WJ (2017) Metabolic brain networks in aging and preclinical Alzheimer’s disease. NeuroImage Clin 17:987–999

4. Ashburner J, Friston KJ (2009) Computing average shaped tissue probability templates. Neuroimage 45(2):333–341

5. Bassett DS, Bullmore E (2006) Small-world brain networks. Neuroscientist 12(6):512–523

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Toward individualized connectomes of brain morphology;Trends in Neurosciences;2023-12

2. Individual‐level brain morphological similarity networks: Current methodologies and applications;CNS Neuroscience & Therapeutics;2023-07-30