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Imaging and analysis of genetically encoded calcium indicators linking neural circuits and behaviors
The Korean Journal of Physiology and Pharmacology ; : 237-249, 2019.
Article in English | WPRIM | ID: wpr-761792
ABSTRACT
Confirming the direct link between neural circuit activity and animal behavior has been a principal aim of neuroscience. The genetically encoded calcium indicator (GECI), which binds to calcium ions and emits fluorescence visualizing intracellular calcium concentration, enables detection of in vivo neuronal firing activity. Various GECIs have been developed and can be chosen for diverse purposes. These GECI-based signals can be acquired by several tools including two-photon microscopy and microendoscopy for precise or wide imaging at cellular to synaptic levels. In addition, the images from GECI signals can be analyzed with open source codes including constrained non-negative matrix factorization for endoscopy data (CNMF_E) and miniscope 1-photon-based calcium imaging signal extraction pipeline (MIN1PIPE), and considering parameters of the imaged brain regions (e.g., diameter or shape of soma or the resolution of recorded images), the real-time activity of each cell can be acquired and linked with animal behaviors. As a result, GECI signal analysis can be a powerful tool for revealing the functions of neuronal circuits related to specific behaviors.
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Behavior, Animal / Brain / Neurosciences / Calcium Channels / Carisoprodol / Calcium / Statistics as Topic / Endoscopy / Neuronal Calcium-Sensor Proteins / Fires Limits: Animals Language: English Journal: The Korean Journal of Physiology and Pharmacology Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Behavior, Animal / Brain / Neurosciences / Calcium Channels / Carisoprodol / Calcium / Statistics as Topic / Endoscopy / Neuronal Calcium-Sensor Proteins / Fires Limits: Animals Language: English Journal: The Korean Journal of Physiology and Pharmacology Year: 2019 Type: Article