cEEGrid Task Validation

cEEGrid 从平台可行性走向任务验证，包括听觉注意、目标说话人检测、visual Simon task 和 transparent EEG 框架。

这一组解决什么问题

这一组回答 cEEGrid 能不能从“能记录信号”走向“能完成任务验证”，包括 auditory attention、target speaker decoding、visual Simon task 和 transparent EEG 框架。

Bleichner 2016 与 Mirkovic 2016 是听觉注意和目标说话人检测基准，Pacharra 2017 扩展到视觉认知任务，Bleichner & Debener 2017 给出 transparent EEG 总框架。

cEEGrid 能做任务验证，但要诚实报告与 cap-EEG 的性能差距、个体差异、窗口长度和真实移动场景缺口。

#	Paper	Route	Stage	一句话
09	Bleichner et al., 2016	around-the-ear cEEGrid	auditory attention validation	cEEGrid median decoding 66% vs cap 70%; vertical long-distance pairs worked best.
10	Mirkovic et al., 2016	around-the-ear cEEGrid	target speaker detection	cEEGrid decoded attended speaker at 69.33% vs cap about 84.8%; spatial placement drove gap.
11	Goverdovsky et al., 2016	in-ear EEG	24/7 in-ear monitoring	Impedance stayed mostly <10 kOhm; ASSR close to mastoid/temporal, SSVEP weaker.
12	Bleichner & Debener, 2017	around-the-ear cEEGrid	transparent EEG review	cEEGrid offers more spatial information than in-ear but less than cap; best as research platform.
13	Pacharra et al., 2017	around-the-ear cEEGrid	visual cognition validation	cEEGrid captured P1/N1, P300, and posterior/temporal ERL; motor LRP was weak.