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We removed low frequency fluctuations by a high-pass filter with a cut-off at 128 s.
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Fourier band-pass filters are also applied to remove low frequency drift and high frequency fluctuations.
These sequences were clustered into 4140 molecular operational taxonomic units (MOTUs) after removing low frequency sequences and rarefaction to account for differences in read depth between samples.
High-pass filtering (cut off 128s) was performed to remove low frequency artefacts.
These partitions were then autoregressively filtered to remove low frequency subharmonics and were tapered using a cosine-bell window [50].
A high-pass filter set at 120 s was used to remove low frequency drifts below ∼0.008 Hz.
A piecewise linear temporal high-pass filter (longest period passed: 805 s) was used to remove low frequency components of the data.
To remove low frequency drifts, data were high-pass filtered (3 cycles, three sine waves fall within the extent of the data).
Using EMD does not distort the shape of the Ca2+ spikes and does not remove low frequency components of the experimental signal.
High-pass filtering was implemented in the matrix design using a cut-off period of 256 seconds to remove low frequency drifts from the time series.
The normalized volumes were resliced with a voxel size of 2×2×2 mm, smoothed with an 8 mm full-width half-maximum isotropic Gaussian kernel and high-pass filtered at 1/256 Hz to remove low frequency drifts.
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