When emotion modulates phonological encoding in speech production: Age-related differences in neural dynamics

The dataset contains behavioral and EEG data from 34 young adults (10 males; mean age ± standard deviation=21.15 ± 2.36 years) and 31 elderly adults (17 males; mean age ± standard deviation=66.32 ± 3.35 years). Using NeuroScan's event-related potential recording and analysis system, EEG data was recorded and collected using a 64 electrode cap according to the 10-20 international system. The continuous recording filter bandpass is 0.05-100 Hz, and the continuous sampling rate is 500 Hz per lead. During the acquisition process, all electrodes are placed as references on the left mastoid electrode, and electrodes are placed in the middle of the left eye socket to record vertical electrooculography (VEOG). Electrodes are placed 1 cm outside the left and right eyes to record horizontal electrooculography (HEOG), and the scalp resistance at all electrode positions is kept below 5 k Ω. The EEG data in the dataset is preprocessed using the EEGLAB toolbox (version 13.4.4b) in MATLAB (version R2021b). Similar to the data processing of behavioral response time, time periods including erroneous reactions, extreme reactions, exceeding ± 3 standard deviations, or no response were excluded from subsequent analysis. Remove four electrodes (CB1, CB2, VEOG, HEOG), recalibrate the remaining EEG data with reference to bilateral mastoid electrodes (M1 and M2), and filter through 0.1Hz high pass and 30Hz low-pass. Perform ICA analysis using the Runica algorithm in EEGLAB to identify and remove blink and eye movement components. The data epoch is divided into -200ms to 1000ms, with -200ms to 0ms used as baseline correction. Use ± 100 μ V for artifact removal.