Reliable optical detection of coherent neuronal activity in fast oscillating networks in vitro
Reliable optical detection of coherent neuronal activity in fast oscillating networks in vitro
复制标题
体外快速振荡网络中相干神经元活动的可靠光学检测
DOI:
10.1016/j.neuroimage.2011.12.018
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发表时间:
2012
期刊:
影响因子:
5.7
通讯作者:
Both M
中科院分区:
文献类型:
--
作者:
Reichinnek S;von Kameke A;Hagenston AM;Freitag E;Bading H;Hasan MT;Draguhn A;Both M
Cognitive and behavioral functions depend on the activation of stable neuronal assemblies, i.e. distributed groups of co-active neurons within neuronal networks. It is therefore crucial to monitor distributed patterns of activity in real time with single-neuron resolution. Microelectrode recordings allow detection of coincidence between discharges of identified units at high temporal resolution, but are not able to reveal the full spatial pattern of activity in multi-cellular assemblies. Therefore, observation of such distributed sets of neurons is a stronghold of optical techniques, but the required resolution, sensitivity, and speed are still challenging current technology. Here, we report a new approach for monitoring neuronal assemblies, using memory-related network oscillations in rodent hippocampal circuits as a model. The cytosolic calcium-sensitive fluorescent protein GCaMP3.NES was expressed using recombinant adeno-associated viral (rAAV)-mediated gene transfer in CA3 pyramidal neurons of cultured mouse hippocampal slices. After 14–21days in culture, field potential recordings revealed spontaneous occurrence of sharp wave-ripple network events during which a fraction of local neurons is coherently activated. Using a custom-built epi-fluorescence microscope we could monitor a field of view of 410μm×410μm with single-neuron optical resolution (20× objective, 0.4 NA). We developed a highly sensitive and specific wavelet-based method of cell identification allowing simultaneous observation of more than 150 neurons at frame rates of up to 60Hz. Our recording configuration and image analysis provide a tool to investigate cognition-related activity patterns in the hippocampus and other circuits.
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影响因子:
1.8
作者:
Yuji Takahara;N. Matsuki;Y. Ikegaya
通讯作者:
Y. Ikegaya
DOI:
--
发表时间:
2010
期刊:
影响因子:
--
作者:
佐々木善浩;黒須啓,山根説子;秋吉一成;齋藤暁;佐藤正晃
通讯作者:
佐藤正晃
影响因子:
3.6
作者:
Engelbrecht, Christoph J.;Voigt, Fabian;Helmchen, Fritjof
通讯作者:
Helmchen, Fritjof
影响因子:
5.3
作者:
Reichinnek, Susanne;Kuensting, Thomas;Both, Martin
通讯作者:
Both, Martin
影响因子:
2.5
作者:
Harris, KD;Henze, DA;Buzsáki, G
通讯作者:
Buzsáki, G