Structural and functional specializations of human fast-spiking neurons support fast cortical signaling.
Structural and functional specializations of human fast-spiking neurons support fast cortical signaling.
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人类快速刺激神经元的结构和功能专长支持快速皮质信号传导。
DOI:
10.1126/sciadv.adf0708
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发表时间:
2023-10-13
期刊:
影响因子:
13.6
通讯作者:
Goriounova, Natalia A.
中科院分区:
文献类型:
--
作者:
Wilbers, Rene;Galakhova, Anna A.;Driessens, Stan L. W.;Heistek, Tim S.;Metodieva, Verjinia D.;Hagemann, Jim;Heyer, Djai B.;Mertens, Eline J.;Deng, Suixin;Idema, Sander;Hamer, Philip C. de Witt;Noske, David P.;van Schie, Paul;Kommers, Ivar;Luan, Guoming;Li, Tianfu;Shu, Yousheng;de Kock, Christiaan P. J.;Mansvelder, Huibert D.;Goriounova, Natalia A.
Fast-spiking interneurons (FSINs) provide fast inhibition that synchronizes neuronal activity and is critical for cognitive function. Fast synchronization frequencies are evolutionary conserved in the expanded human neocortex despite larger neuron-to-neuron distances that challenge fast input-output transfer functions of FSINs. Here, we test in human neurons from neurosurgery tissue, which mechanistic specializations of human FSINs explain their fast-signaling properties in human cortex. With morphological reconstructions, multipatch recordings, and biophysical modeling, we find that despite threefold longer dendritic path, human FSINs maintain fast inhibition between connected pyramidal neurons through several mechanisms: stronger synapse strength of excitatory inputs, larger dendrite diameter with reduced complexity, faster AP initiation, and faster and larger inhibitory output, while Na+ current activation/inactivation properties are similar. These adaptations underlie short input-output delays in fast inhibition of human pyramidal neurons through FSINs, explaining how cortical synchronization frequencies are conserved despite expanded and sparse network topology of human cortex. Morphological and physiological properties of fast spiking neurons support fast cortical signaling in human cortex.
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DOI:
10.1126/science.aac9462
发表时间:
2015-11-27
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Jiang X;Shen S;Cadwell CR;Berens P;Sinz F;Ecker AS;Patel S;Tolias AS
通讯作者:
Tolias AS
影响因子:
5.3
作者:
Eyal, Guy;Mansvelder, Huibert D.;Segev, Idan
通讯作者:
Segev, Idan
影响因子:
9.8
作者:
Li T;Tian C;Scalmani P;Frassoni C;Mantegazza M;Wang Y;Yang M;Wu S;Shu Y
通讯作者:
Shu Y
影响因子:
16.2
作者:
Kalmbach BE;Buchin A;Long B;Close J;Nandi A;Miller JA;Bakken TE;Hodge RD;Chong P;de Frates R;Dai K;Maltzer Z;Nicovich PR;Keene CD;Silbergeld DL;Gwinn RP;Cobbs C;Ko AL;Ojemann JG;Koch C;Anastassiou CA;Lein ES;Ting JT
通讯作者:
Ting JT
影响因子:
9.8
作者:
Molnár G;Oláh S;Komlósi G;Füle M;Szabadics J;Varga C;Barzó P;Tamás G
通讯作者:
Tamás G