Activity-dependent organization of prefrontal hub-networks for associative learning and signal transformation
Activity-dependent organization of prefrontal hub-networks for associative learning and signal transformation
复制标题
用于联想学习和信号转换的前额叶中枢网络的活动依赖组织
DOI:
10.1101/2021.08.31.458461
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Nagai Takeharu
中科院分区:
文献类型:
--
作者:
Agetsuma Masakazu;Sato Issei;Tanaka Yasuhiro R;Carrillo-Reid Luis;Kasai Atsushi;Arai Yoshiyuki;Yoshitomo Miki;Inagaki Takashi;Hashimoto Hitoshi;Nabekura Junichi;Nagai Takeharu
Associative learning is crucial for adapting to environmental changes. Interactions among neuronal populations involving the dorso-medial prefrontal cortex (dmPFC) are proposed to regulate associative learning, but how these neuronal populations store and process information about the association remains unclear. Here we developed a pipeline for longitudinal two-photon imaging and computational dissection of neural population activities in male mouse dmPFC during fear-conditioning procedures, enabling us to detect learning-dependent changes in the dmPFC network topology. Using regularized regression methods and graphical modeling, we found that fear conditioning drove dmPFC reorganization to generate a neuronal ensemble encoding conditioned responses (CR) characterized by enhanced internal coactivity, functional connectivity, and association with conditioned stimuli (CS). Importantly, neurons strongly responding to unconditioned stimuli during conditioning subsequently became hubs of this novel associative network for the CS-to-CR transformation. Altogether, we demonstrate learning-dependent dynamic modulation of population coding structured on the activity-dependent formation of the hub network within the dmPFC.
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DOI:
10.1073/pnas.94.11.5929
发表时间:
1997-05-27
影响因子:
11.1
作者:
Kim, JJ;Shih, JC;Thompson, RF
通讯作者:
Thompson, RF
DOI:
10.1126/science.aaw4325
发表时间:
2020-01-03
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Josselyn SA;Tonegawa S
通讯作者:
Tonegawa S
影响因子:
2.5
作者:
de Oliveira, Eliezyer Fermino;Dickson, Clayton Thomas;Reyes, Marcelo Bussotti
通讯作者:
Reyes, Marcelo Bussotti
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
Atsushi Kasai;Misaki Niu;Masato Tanuma;Kaoru Seiriki;Hitoshi Hashimoto
通讯作者:
Hitoshi Hashimoto
影响因子:
64.8
作者:
Banerjee, Abhishek;Parente, Giuseppe;Helmchen, Fritjof
通讯作者:
Helmchen, Fritjof