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High-pass filtering (cut off 128s) was performed to remove low frequency artefacts.
Motion correction was followed by spatial smoothing (Gaussian, full-width at half-maximum 6 mm) and temporal high-pass filtering (cut off, 0.01 Hz).
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Signals were band-pass filtered (cut off: 10 330 Hz) and digitally sampled at a frequency of 1000 Hz (full-wave rectification, fourth-order, zero-lag Butterworth, cut off: 100 Hz).
Functional images were realigned to the first image, normalized to the mean image (to a voxel size of 2 × 2 × 2 mm), smoothed (6 mm isotropic Gaussian filter) and high-pass filtered (cut off period 128 s).
Haemoglobin signals were low pass filtered (cut-off frequency: 0.3 Hz, optimized least squares finite infinite response filter with order 935) and then down-sampled to 1 Hz.
Finally, data were high-pass filtered (cut-off frequency 0.05 Hz) to remove low-frequency concatenation-generated signals.
We then transferred song files to a computer and high-pass filtered (cut-off frequency: 1600 Hz) to remove background noise.
Data were high-pass filtered (cut-off period = 128 s).
Songs had been high-pass filtered (cut-off frequency: 1.4 kHz).
Data were also high-pass filtered (cut-off period = 128 s).
Spiking responses and some oscillating responses were also low-pass filtered (cut-off frequency = 100 kHz) during recording.
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