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
• Run fPCA
  • Main command-line tool
  • Optional: separate preprocessing
  • The argument threshold:
  • Notes
• Group fPCA Pipeline
  • Overview
  • Entry Point:
  • Part 1 — fpca-main script
  • Part 2 — fmri-fpca-pipeline 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.