李明

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:力学与航空航天学院

学科:工程力学. 固体力学. 计算力学

办公地点:大连理工大学主校区工程力学系楼509室

联系方式:Tel:+86-15140368939

电子邮箱:mingli@dlut.edu.cn

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A high-density, high-channel count, multiplexed mu ECoG array for auditory-cortex recordings

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论文类型:期刊论文

发表时间:2014-09-15

发表刊物:JOURNAL OF NEUROPHYSIOLOGY

收录刊物:SCIE、PubMed、Scopus

卷号:112

期号:6

页面范围:1566-1583

ISSN号:0022-3077

关键字:electrocorticography; mu ECoG; auditory cortex; topography; tonotopy

摘要:Our understanding of the large-scale population dynamics of neural activity is limited, in part, by our inability to record simultaneously from large regions of the cortex. Here, we validated the use of a large-scale active microelectrode array that simultaneously records 196 multiplexed micro-electrocortigraphical (mu ECoG) signals from the cortical surface at a very high density (1,600 electrodes/cm(2)). We compared mu ECoG measurements in auditory cortex using a custom "active" electrode array to those recorded using a conventional "passive" mu ECoG array. Both of these array responses were also compared with data recorded via intrinsic optical imaging, which is a standard methodology for recording sound-evoked cortical activity. Custom active mu ECoG arrays generated more veridical representations of the tonotopic organization of the auditory cortex than current commercially available passive mu ECoG arrays. Furthermore, the cortical representation could be measured efficiently with the active arrays, requiring as little as 13.5 s of neural data acquisition. Next, we generated spectrotemporal receptive fields from the recorded neural activity on the active mu ECoG array and identified functional organizational principles comparable to those observed using intrinsic metabolic imaging and single-neuron recordings. This new electrode array technology has the potential for large-scale, temporally precise monitoring and mapping of the cortex, without the use of invasive penetrating electrodes.