Welcome to fMRI’s documentation!

Contents:

• Neuro-fPCA-fMRI
  • Full Documentation
  • Overview
  • Output
  • Mathematical background
  • Credits
  • License
  • Author
• Functional PCA - Mathmatical Background
  • B-Spline Representation of the Signal
  • Regularized Regression for Spline Coefficient Estimation
  • Selection of \(\lambda\) for each voxel using Generalized Cross-Validation (GCV)
  • Functional Principal Component Analysis (fPCA)
• Installation
  • Stable release (pip)
  • Windows (recommended: conda/mamba)
  • From sources
  • Verify installation
• Running the fMRI Pipeline
  • Synopsis
  • Arguments
  • Examples
  • The argument threshold:
  • Notes
• Utility Scripts Documentation
  • Preprocessing Scripts
  • Batch Processing Scripts
  • Find best parameters combination - compare-pcs script
  • Find the best lags and durations around stimulus times - find-best-lags script

This program implements the methodology from the paper:

Roberto Viviani, Georg Grön and Manfred Spitzer. Functional Principal Component Analysis of fMRI Data.

The code was written by Refael Kohen <refael.kohen@gmail.com>, Yaniv Assaf Lab, Tel Aviv University.