Computational protocol: The Influence of Negative Emotion on Cognitive and Emotional Control Remains Intact in Aging

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Protocol publication

[…] EEG was recorded from 59 Ag/AgCl scalp electrodes (10–10 system). We used Brain Vision Recorder (Brain Products GmbH, Munich, Germany) and a BRAINAMP amplifier (DC to 250 Hz). The sampling rate was 500 Hz. The left mastoid served as a reference, and the sternum as ground. The vertical and horizontal electro-oculogram was measured for artifact rejection purposes. The impedance was kept below 5 kΩ.EEG data were analyzed using the FieldTrip (v0.20120501) toolbox () running on Matlab 8.1 R2013a (The Mathworks, Inc., Natick, United States). Electrodes were re-referenced offline to linked mastoids. Only correct trials were chosen for data processing. Extended epochs of 2000 ms before and after video onset were extracted. Epochs containing excessive muscle activity or jump artifacts were rejected. Data were band-pass filtered using a two-pass Butterworth IIR filter with a frequency pass-band of 0.1–100 Hz (order of 4). After the preprocessing, principal components analysis was applied in order to reduce dimensionality of the data and preserve α = 0.99 of the variance (). An independent component analysis (ICA) was conducted using the fastica algorithm. Subsequently, components were visually inspected and those showing ocular, muscle, heart, and electrode artifacts were manually rejected (mean number of components removed = 11, SD = 4). In a subsequent step, individual epochs were visually scanned and epochs containing artifacts were manually discarded. Approximately 14% of trials (incorrect responses, artifacts) were excluded from further analysis. […]

Pipeline specifications

Software tools FieldTrip, fastICA
Application Miscellaneous
Organisms Homo sapiens