Propagating spatiotemporal activity patterns across macaque motor cortex carry kinematic information.
Propagating spatiotemporal activity patterns across macaque motor cortex carry kinematic information.
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DOI:
10.1073/pnas.2212227120
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发表时间:
2023-01-24
影响因子:
11.1
通讯作者:
中科院分区:
文献类型:
--
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Propagating activity patterns including waves are prevalent across cortical areas, but experimental evidence for their role in carrying behaviorally relevant information is rare, and, when present, often reflects the general behavioral state. This work provides the first evidence, to our knowledge, of a spatially organized recruitment order of activity across the motor cortical sheet that informs details of the upcoming movement. Furthermore, characteristics of propagation provide additional predictive power in decoding kinematics beyond information-rich activity amplitudes. The nonredundant movement-specific information exhibited by these propagating patterns not only has scientific implications for the functional organization of motor cortex but also holds potential to aid translational brain–machine interface research. Propagating spatiotemporal neural patterns are widely evident across sensory, motor, and association cortical areas. However, it remains unclear whether any characteristics of neural propagation carry information about specific behavioral details. Here, we provide the first evidence for a link between the direction of cortical propagation and specific behavioral features of an upcoming movement on a trial-by-trial basis. We recorded local field potentials (LFPs) from multielectrode arrays implanted in the primary motor cortex of two rhesus macaque monkeys while they performed a 2D reach task. Propagating patterns were extracted from the information-rich high-gamma band (200 to 400 Hz) envelopes in the LFP amplitude. We found that the exact direction of propagating patterns varied systematically according to initial movement direction, enabling kinematic predictions. Furthermore, characteristics of these propagation patterns provided additional predictive capability beyond the LFP amplitude themselves, which suggests the value of including mesoscopic spatiotemporal characteristics in refining brain–machine interfaces.
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影响因子:
2.5
作者:
Flint, Robert D.;Ethier, Christian;Slutzky, Marc W.
通讯作者:
Slutzky, Marc W.
DOI:
10.1109/tbme.2010.2047015
发表时间:
2010-07
期刊:
IEEE transactions on bio-medical engineering
影响因子:
--
作者:
Zhuang J;Truccolo W;Vargas-Irwin C;Donoghue JP
通讯作者:
Donoghue JP
影响因子:
4
作者:
Flint RD;Lindberg EW;Jordan LR;Miller LE;Slutzky MW
通讯作者:
Slutzky MW
影响因子:
3.4
作者:
Kaufman MT;Seely JS;Sussillo D;Ryu SI;Shenoy KV;Churchland MM
通讯作者:
Churchland MM
影响因子:
16.2
作者:
Xu, Weifeng;Huang, Xiaoying;Wu, Jian-young
通讯作者:
Wu, Jian-young