F88. Standardized naming convention for high density EEG

Heine, Walter F.; Dobrota, Mary-Ann; Schomer, Donald L.; Wigton, Rebekah; Herman, Susan T.

doi:10.1016/j.clinph.2018.04.251

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The EEG acquisition devices use NeuroScan40 amplifiers and wearable device electrode caps (Quik-Cap 64) [26][27][28]. We use Curry-7 software to collect and process EEG signals [29,30]. The software of Curry-7 can collect EEG signals in higher time domain and frequency domain, which can easily perform denoising, epochs and averaging, principal component analysis, and other operations on collected EEG signals.…”

Section: Eeg Acquisition and Processing Methodmentioning

confidence: 99%

Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments

Shen

Liu

et al. 2022

Behavioural Neurology

View full text Add to dashboard Cite

Extraction and analysis of the EEG (electroencephalograph) information features generated during behavioral decision-making can provide a better understanding of the state of mind. Previous studies have focused more on the brainwave features after behavioral decision-making. In fact, the EEG before decision-making is more worthy of our attention. In this study, we introduce a new index based on the reaction time of subjects before decision-making, called the Prestimulus Time (PT), which have important reference value for the study of cognitive function, neurological diseases, and other fields. In our experiments, we use a wearable EEG feature signal acquisition device and a systematic reward and punishment experiment to obtain the EEG features before and after behavioral decision-making. The experimental results show that the EEG generated after behavioral decision due to loss is more intense than that generated by gain in the medial frontal cortex (MFC). In addition, different characteristics of EEG signals are generated prior to behavioral decisions because people have different expectations of the outcome. It will produce more significant negative-polarity event-related potential (ERP) in the forebrain area when the humans are optimistic about the outcomes.

show abstract