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ME-ICA/rica: v2.1.5

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 17 Dec 2021Publisher:Zenodo
Authors: Uruñuela, Eneko;
Code repository: https://github.com/ME-ICA/rica/tree/v1.0.12

doi: 10.5281/zenodo.5788349 , 10.5281/zenodo.7612598 , 10.5281/zenodo.18238986 , 10.5281/zenodo.7896700 , 10.5281/zenodo.18777003 , 10.5281/zenodo.7612594 , 10.5281/zenodo.5788350 , 10.5281/zenodo.7876984 , 10.5281/zenodo.7612597 , 10.5281/zenodo.7612591 , 10.5281/zenodo.7612604 , 10.5281/zenodo.7612602 , 10.5281/zenodo.7612603 , 10.5281/zenodo.7612599 , 10.5281/zenodo.18500132 , 10.5281/zenodo.18461859 , 10.5281/zenodo.7612600 , 10.5281/zenodo.7612596 , 10.5281/zenodo.7851088 , 10.5281/zenodo.7612601 , 10.5281/zenodo.18703370

ME-ICA/rica: v2.1.5

Abstract

Special thanks go to Javier Gonzalez-Castillo for his feedback. What's Changed Bug Fixes Power spectrum frequency axis now matches tedana's static figures (#106) Extract TR from NIfTI header (pixdim[4]), matching tedana's get_zooms()[-1] Replace zero-padded FFT with direct DFT to produce identical output to numpy.fft.rfft Frequency axis now displays in Hz (instead of cycles/TR) when TR is available Replicate tedana's exact get_spectrum() frequency formula Technical Details New niftiUtils.js for extracting TR from NIfTI-1/NIfTI-2 headers (gzipped or uncompressed) DFT uses trig recurrence for improved performance on longer time series Also loads TR from desc-tedana_registry.json when available

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Keywords

neuroimaging, fMRI, multi-echo

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popularity
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