Simultaneous measurement of membrane potential changes in multiple pattern generating neurons using voltage sensitive dye imaging
Simultaneous measurement of membrane potential changes in multiple pattern generating neurons using voltage sensitive dye imaging
复制标题
使用电压敏感染料成像同时测量多种模式生成神经元的膜电位变化
DOI:
10.1016/j.jneumeth.2011.09.015
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发表时间:
2012
影响因子:
3
通讯作者:
Andras
中科院分区:
文献类型:
--
作者:
Städele;Andras
Optical imaging using voltage-sensitive dyes (VSDs) is a promising technique for the simultaneous activity recording of many individual neurons. While such simultaneous recordings are critical for the understanding of the integral functionality of neural systems, functional interpretations on a single neuron level are difficult without knowledge of the connectivity of the underlying circuit. Central pattern generating circuits, such as the pyloric and gastric mill circuits in the stomatogastric ganglion (STG) of crustaceans, allow such investigations due to their well-known connectivities and have already contributed much to our understanding of general neuronal mechanisms. Here we present for the first time simultaneous optical recordings of the pattern generating neurons in the STG of two crustacean species using bulk loading of the VSD di-4-ANEPPS. We demonstrate the recording of firing activities and synaptic interactions of the circuit neurons as well as inter-circuit interactions in their functional context, i.e. without artificial stimulation. Neurons could be uniquely identified using simple event-triggered averaging. We tested this technique in two different species of crustaceans (lobsters and crabs), since several crustacean species are used for studying motor pattern generation. The signal-to-noise ratio of the optical signal was high enough in both species to derive phase-relationship between the network neurons, as well as action potentials and excitatory and inhibitory postsynaptic potentials. We argue that imaging of neural networks with identifiable neurons with well-known connectivity, like in the STG, is crucial for the understanding of emergence of network functionality.
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影响因子:
12.8
作者:
Yoo, Seungbo;Jeong, Yun Hee;Choi, Hong-Hee;Chae, Sehyun;Hwang, Daehee;Shin, Sung Jae;Ha, Sang-Jun
通讯作者:
Ha, Sang-Jun
DOI:
10.1073/pnas.86.5.1679
发表时间:
1989
影响因子:
11.1
作者:
Ross,WN;Graubard,K
通讯作者:
Graubard,K
影响因子:
3
作者:
W. Stein;Péter András
通讯作者:
Péter András
影响因子:
5.7
作者:
J. Ramirez;D. Richter
通讯作者:
J. Ramirez;D. Richter
影响因子:
2.5
作者:
SALZBERG, BM;GRINVALD, A;ROSS, WN
通讯作者:
ROSS, WN