How robustly do multivariate EEG patterns track individual-subject lexico-semantic processing of visual stimuli?
How robustly do multivariate EEG patterns track individual-subject lexico-semantic processing of visual stimuli?
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DOI：
10.1080/23273798.2023.2177315
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发表时间：
2023-03-03
影响因子：
2.3
通讯作者：
Woolgar，Alexandra
中科院分区：
文献类型：
--
作者：
Petit，Selene;Brown，Alyse;Woolgar，Alexandra
在行为测量不可靠的情况下，脑电图可能是评估词汇语义处理的有价值的工具。检测和量化个体的影响对临床应用至关重要，但个体-主体分析经常没有报道，并且受到低信噪比的阻碍。多变量分析（MVPA）可能比传统方法更敏感，因此我们询问他们在检测个体对语义匹配和不匹配的单词/图片对的不同神经反应方面有多强大。考虑到临床应用，我们将研究级脑电图系统的数据与无线Emotiv EPOC +同时记录的数据进行了比较。在这两种脑电图系统中，尽管有强大的群体水平效应，但我们只在50%的个体中检测到统计上显著的词汇-语义条件处理。令人惊讶的是，MVPA和单变量分析的检出率相似。当个体反应是异质的时，MVPA可能是有利的，但在这种简单的范式中，词汇语义处理不能在个体水平上可靠地检测到。
Electroencephalography may be a valuable tool for assessing lexico-semantic processing in conditions where behavioural measures are unreliable. Detecting and quantifying effects in individuals is crucial for clinical applications, but individual-subject analyses are frequently not reported, and are hampered by low signal-to-noise. Multivariate analyses (MVPA) may be more sensitive than traditional approaches, so we asked how robustly they could detect differential neural responses to semantically matched and mismatched word/picture pairs in individuals. With clinical application in mind, we compared data from a research-grade EEG system to concurrently recorded data from the wireless Emotiv EPOC + . In both EEG systems, despite robust group-level effects, we only detected statistically significant processing of lexico-semantic condition in 50% of individuals. Surprisingly, detection rates were similar for MVPA and univariate analyses. MVPA may be advantageous when individual responses are heterogeneous, but in this simple paradigm, lexico-semantic processing could not be reliably detected at the individual level.