Dynamic micro-circuit analysis for calcium imaging data

Rong Chen; Huaping Wang; Jiping He; Da Ting Lin

doi:10.1109/CBS.2017.8266091

Dynamic micro-circuit analysis for calcium imaging data

Rong Chen^*
, Huaping Wang
, Jiping He
, Da Ting Lin

^*Corresponding author for this work

School of Mechatronical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Micro-circuits are mesoscopic scale networks and play an important role in cognition, emotion, and learning. Analysis of micro-circuits provides a system-level understanding of the neurobiology of health and disease. We propose a computational framework for micro-circuit analysis. The proposed framework combines miniature cellular imaging and network modeling. We used the proposed framework to study micro-circuits of D1 and D2 medium spiny neurons in the dorsal striatum for saline and cocaine injection. We found that cocaine injection had reduced numbers of total-, cross-, and self-links, relative to saline injection. The proposed method enables us to develop a circuit-based approach to understand the brain.

Original language	English
Title of host publication	2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	169-172
Number of pages	4
ISBN (Electronic)	9781538631942
DOIs	https://doi.org/10.1109/CBS.2017.8266091
Publication status	Published - 2 Jul 2017
Event	2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017 - Beijing, China Duration: 17 Oct 2017 → 19 Oct 2017

Publication series

Name	2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017
Volume	2018-January

Conference

Conference	2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017
Country/Territory	China
City	Beijing
Period	17/10/17 → 19/10/17

Keywords

dynamics Bayesian network
graph theoretical analysis
micro-circuits

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10.1109/CBS.2017.8266091

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Chen, R., Wang, H., He, J., & Lin, D. T. (2017). Dynamic micro-circuit analysis for calcium imaging data. In 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017 (pp. 169-172). (2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBS.2017.8266091

@inproceedings{337e70c1cb8e46f5a5f01b063f2cddcd,

title = "Dynamic micro-circuit analysis for calcium imaging data",

abstract = "Micro-circuits are mesoscopic scale networks and play an important role in cognition, emotion, and learning. Analysis of micro-circuits provides a system-level understanding of the neurobiology of health and disease. We propose a computational framework for micro-circuit analysis. The proposed framework combines miniature cellular imaging and network modeling. We used the proposed framework to study micro-circuits of D1 and D2 medium spiny neurons in the dorsal striatum for saline and cocaine injection. We found that cocaine injection had reduced numbers of total-, cross-, and self-links, relative to saline injection. The proposed method enables us to develop a circuit-based approach to understand the brain.",

keywords = "dynamics Bayesian network, graph theoretical analysis, micro-circuits",

author = "Rong Chen and Huaping Wang and Jiping He and Lin, \{Da Ting\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017 ; Conference date: 17-10-2017 Through 19-10-2017",

year = "2017",

month = jul,

day = "2",

doi = "10.1109/CBS.2017.8266091",

language = "English",

series = "2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017",

address = "United States",

}

Chen, R, Wang, H, He, J & Lin, DT 2017, Dynamic micro-circuit analysis for calcium imaging data. in 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017. 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 169-172, 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017, Beijing, China, 17/10/17. https://doi.org/10.1109/CBS.2017.8266091

Dynamic micro-circuit analysis for calcium imaging data. / Chen, Rong; Wang, Huaping; He, Jiping et al.
2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 169-172 (2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Dynamic micro-circuit analysis for calcium imaging data

AU - Chen, Rong

AU - Wang, Huaping

AU - He, Jiping

AU - Lin, Da Ting

PY - 2017/7/2

Y1 - 2017/7/2

N2 - Micro-circuits are mesoscopic scale networks and play an important role in cognition, emotion, and learning. Analysis of micro-circuits provides a system-level understanding of the neurobiology of health and disease. We propose a computational framework for micro-circuit analysis. The proposed framework combines miniature cellular imaging and network modeling. We used the proposed framework to study micro-circuits of D1 and D2 medium spiny neurons in the dorsal striatum for saline and cocaine injection. We found that cocaine injection had reduced numbers of total-, cross-, and self-links, relative to saline injection. The proposed method enables us to develop a circuit-based approach to understand the brain.

AB - Micro-circuits are mesoscopic scale networks and play an important role in cognition, emotion, and learning. Analysis of micro-circuits provides a system-level understanding of the neurobiology of health and disease. We propose a computational framework for micro-circuit analysis. The proposed framework combines miniature cellular imaging and network modeling. We used the proposed framework to study micro-circuits of D1 and D2 medium spiny neurons in the dorsal striatum for saline and cocaine injection. We found that cocaine injection had reduced numbers of total-, cross-, and self-links, relative to saline injection. The proposed method enables us to develop a circuit-based approach to understand the brain.

KW - dynamics Bayesian network

KW - graph theoretical analysis

KW - micro-circuits

UR - https://www.scopus.com/pages/publications/85050480802

U2 - 10.1109/CBS.2017.8266091

DO - 10.1109/CBS.2017.8266091

M3 - Conference contribution

AN - SCOPUS:85050480802

T3 - 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017

SP - 169

EP - 172

BT - 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017

Y2 - 17 October 2017 through 19 October 2017

ER -

Dynamic micro-circuit analysis for calcium imaging data

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