A multielectrode array microchannel platform reveals both transient and slow changes in axonal conduction velocity.
A multielectrode array microchannel platform reveals both transient and slow changes in axonal conduction velocity.
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DOI:
10.1038/s41598-017-09033-3
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发表时间:
2017-08-17
影响因子:
4.6
通讯作者:
Blau A
中科院分区:
文献类型:
--
作者:
Habibey R;Latifi S;Mousavi H;Pesce M;Arab-Tehrany E;Blau A
Due to their small dimensions, electrophysiology on thin and intricate axonal branches in support of understanding their role in normal and diseased brain function poses experimental challenges. To reduce experimental complexity, we coupled microelectrode arrays (MEAs) to bi-level microchannel devices for the long-term in vitro tracking of axonal morphology and activity with high spatiotemporal resolution. Our model allowed the long-term multisite recording from pure axonal branches in a microscopy-compatible environment. Compartmentalizing the network structure into interconnected subpopulations simplified access to the locations of interest. Electrophysiological data over 95 days in vitro (DIV) showed an age-dependent increase of axonal conduction velocity, which was positively correlated with, but independent of evolving burst activity over time. Conduction velocity remained constant at chemically increased network activity levels. In contrast, low frequency (1 Hz, 180 repetitions) electrical stimulation of axons or network subpopulations evoked amplitude-dependent direct (5–35 ms peri-stimulus) and polysynaptic (35–1,000 ms peri-stimulus) activity with temporarily (<35 ms) elevated propagation velocities along the perisomatic branches. Furthermore, effective stimulation amplitudes were found to be significantly lower (>250 mV) in microchannels when compared with those reported for unconfined cultures (>800 mV). The experimental paradigm may lead to new insights into stimulation-induced axonal plasticity.
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影响因子:
4
作者:
Pan L;Alagapan S;Franca E;Brewer GJ;Wheeler BC
通讯作者:
Wheeler BC
影响因子:
4.3
作者:
Obien ME;Deligkaris K;Bullmann T;Bakkum DJ;Frey U
通讯作者:
Frey U
影响因子:
3.7
作者:
Biffi E;Regalia G;Menegon A;Ferrigno G;Pedrocchi A
通讯作者:
Pedrocchi A
DOI:
10.1093/bioinformatics/btp184
发表时间:
2009-06-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Preibisch S;Saalfeld S;Tomancak P
通讯作者:
Tomancak P
影响因子:
4.3
作者:
Lewandowska MK;Radivojević M;Jäckel D;Müller J;Hierlemann AR
通讯作者:
Hierlemann AR