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Paradigm Free Mapping (3dPFM和3dMEPFM)的Python包。

项目描述

pySPFM

AFNI的3dPFM和3dMEPFM的Python版本,具有一些额外功能,例如添加与Total Activation使用的类似的空间正则化。

Latest Version PyPI - Python Version DOI License CircleCI Documentation Status codecov Code style: black pre-commit

参考文献

  • Caballero-Gaudes, C., Moia, S., Panwar, P., Bandettini, P. A., & Gonzalez-Castillo, J. (2019). A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free Mapping. NeuroImage, 202, 116081–116081. https://doi.org/10.1016/j.neuroimage.2019.116081
  • Caballero Gaudes, C., Petridou, N., Francis, S. T., Dryden, I. L., & Gowland, P. A. (2013). Paradigm free mapping with sparse regression automatically detects single-trial functional magnetic resonance imaging blood oxygenation level dependent responses. Human Brain Mapping. https://doi.org/10.1002/hbm.21452
  • Karahanoǧlu, F. I., Caballero-Gaudes, C., Lazeyras, F., & Van De Ville, D. (2013). Total activation: FMRI deconvolution through spatio-temporal regularization. NeuroImage. https://doi.org/10.1016/j.neuroimage.2013.01.067
  • Uruñuela, E., Bolton, T. A., Van De Ville, D., & Caballero-Gaudes, C. (2023). Hemodynamic Deconvolution Demystified: Sparsity-Driven Regularization at Work. Aperture Neuro, 3, 1-25. https://doi.org/10.52294/001c.87574

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pyspfm-0.0.3.tar.gz (3.6 MB 查看哈希)

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pyspfm-0.0.3-py3-none-any.whl (64.0 kB 查看哈希)

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