Real-time detection of event-related brain activity.
Real-time detection of event-related brain activity.
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DOI:
10.1016/j.neuroimage.2008.07.037
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发表时间:
2008-11-01
期刊:
影响因子:
5.7
通讯作者:
Wolpaw JR
中科院分区:
文献类型:
--
作者:
Schalk G;Leuthardt EC;Brunner P;Ojemann JG;Gerhardt LA;Wolpaw JR
The complexity and inter-individual variation of brain signals impedes real-time detection of events in raw signals. To convert these complex signals into results that can be readily understood, current approaches usually apply statistical methods to data from known conditions after all data have been collected. The capability to provide meaningful visualization of complex brain signals without the requirement to initially collect data from all conditions would provide a new tool, essentially a new imaging technique, that would open up new avenues for the study of brain function. Here we show that a new analysis approach, called SIGFRIED, can overcome this serious limitation of current methods. SIGFRIED can visualize brain signal changes without requiring prior data collection from all conditions. This capacity is particularly well suited to applications in which comprehensive prior data collection is impossible or impractical, such as intraoperative localization of cortical function or detection of epileptic seizures.
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影响因子:
14.5
作者:
Sinai, A;Bowers, CW;Crone, NE
通讯作者:
Crone, NE
影响因子:
4.6
作者:
Schalk, G;McFarland, DJ;Wolpaw, JR
通讯作者:
Wolpaw, JR
影响因子:
5.7
作者:
Miller, Kai J.;denNijs, Marcel;Ojemann, Jeffrey G.
通讯作者:
Ojemann, Jeffrey G.
影响因子:
4.7
作者:
Pfurtscheller, G;Graimann, B;Schuh, LA
通讯作者:
Schuh, LA
DOI:
10.1111/j.2517-6161.1977.tb01600.x
发表时间:
1977-01-01
期刊:
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL
影响因子:
--
作者:
DEMPSTER, AP;LAIRD, NM;RUBIN, DB
通讯作者:
RUBIN, DB