CASIA OpenIR  > 类脑智能研究中心  > 微观重建与智能分析
Fear memory-associated synaptic and mitochondrial changes revealed by deep learning-based processing of electron microscopy data
Liu, Jing1,2; Qi, Junqian3,4,5; Chen, Xi1; Li, Zhenchen1,2; Hong, Bei1; Ma, Hongtu1; Li, Guoqing1; Shen, Lijun1; Liu, Danqian4; Kong, Yu4; Zhai, Hao1,2; Xie, Qiwei6; Han, Hua1,2,4; Yang, Yang3
Source PublicationCELL REPORTS
ISSN2211-1247
2022-08-02
Volume40Issue:5Pages:28
Corresponding AuthorXie, Qiwei(qiwei.xie@bjut.edu.cn) ; Han, Hua(hua.han@ia.ac.cn) ; Yang, Yang(yangyang2@shanghaitech.edu.cn)
AbstractSerial section electron microscopy (ssEM) can provide comprehensive 3D ultrastructural information of the brain with exceptional computational cost. Targeted reconstruction of subcellular structures from ssEM da-tasets is less computationally demanding but still highly informative. We thus developed a region-CNN -based deep learning method to identify, segment, and reconstruct synapses and mitochondria to explore the structural plasticity of synapses and mitochondria in the auditory cortex of mice subjected to fear con-ditioning. Upon reconstructing over 135,000 mitochondria and 160,000 synapses, we find that fear condition-ing significantly increases the number of mitochondria but decreases their size and promotes formation of multi-contact synapses, comprising a single axonal bouton and multiple postsynaptic sites from different dendrites. Modeling indicates that such multi-contact configuration increases the information storage ca-pacity of new synapses by over 50%. With high accuracy and speed in reconstruction, our method yields structural and functional insight into cellular plasticity associated with fear learning.
DOI10.1016/j.celrep.2022.111151
WOS KeywordSTRUCTURAL DETERMINANTS ; MULTIPLE SYNAPSES ; CEREBRAL CORTEX ; MOSSY FIBER ; LAYER 4 ; PLASTICITY ; EXPERIENCE ; MORPHOGENESIS ; SEGMENTATION ; TRANSMISSION
Indexed BySCI
Language英语
Funding ProjectNational Science and Technology Innovation 2030 Major Program[2021ZD0204503] ; National Science and Technology Innovation 2030 Major Program[2021ZD0 204500] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB32030208] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA16021104] ; National Natural Science Foundation of China[32171461] ; National Natural Science Foundation of China[31970960] ; National Natural Science Foundation of China[61673381] ; Program of Beijing Municipal Science & Technology Commission[Z201100008420004] ; ShanghaiTech University
Funding OrganizationNational Science and Technology Innovation 2030 Major Program ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; Program of Beijing Municipal Science & Technology Commission ; ShanghaiTech University
WOS Research AreaCell Biology
WOS SubjectCell Biology
WOS IDWOS:000843351100001
PublisherCELL PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/49871
Collection类脑智能研究中心_微观重建与智能分析
Corresponding AuthorXie, Qiwei; Han, Hua; Yang, Yang
Affiliation1.Chinese Acad Sci, Inst Automat, Res Ctr Brain inspired Intelligence, Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Sch Future Technol, Beijing 101408, Peoples R China
3.ShanghaiTech Univ, Sch Life Sci & Technol, Shanghai, Peoples R China
4.Chinese Acad Sci, Inst Neurosci, Ctr Excellence Brain Sci & Intelligence Technol, State Key Lab Neurosci,Key Lab Primate Neurobiol, Shanghai 200031, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Beijing Univ Technol, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Liu, Jing,Qi, Junqian,Chen, Xi,et al. Fear memory-associated synaptic and mitochondrial changes revealed by deep learning-based processing of electron microscopy data[J]. CELL REPORTS,2022,40(5):28.
APA Liu, Jing.,Qi, Junqian.,Chen, Xi.,Li, Zhenchen.,Hong, Bei.,...&Yang, Yang.(2022).Fear memory-associated synaptic and mitochondrial changes revealed by deep learning-based processing of electron microscopy data.CELL REPORTS,40(5),28.
MLA Liu, Jing,et al."Fear memory-associated synaptic and mitochondrial changes revealed by deep learning-based processing of electron microscopy data".CELL REPORTS 40.5(2022):28.
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