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neuropipeline

neuropipeline is a Python package designed for comprehensive analysis of neurophysiological data, specifically Electroencephalography (EEG) and functional Near-Infrared Spectroscopy (fNIRS). It provides tools for preprocessing, analysis, and visualization of both EEG and fNIRS data, streamlining your neuroimaging workflow.

Features

  • Unified Interface: A consistent API for both EEG and fNIRS data processing.
  • Preprocessing:
    • Artifact removal (e.g., ICA, filtering).
    • Data cleaning and interpolation.
    • Channel/probe management.
  • Analysis:
    • Frequency domain analysis (e.g., power spectral density).
    • Time domain analysis (e.g., event-related potentials/responses).
    • Statistical analysis.
    • fNIRS specific analysis (HbO, HbR, and HbT calculations)
  • Visualization:
    • Interactive plots for EEG and fNIRS data.
    • Topographic maps.
    • Time-series plots.
    • fNIRS channel location visualization.
  • Extensible Design: Easily add custom processing and analysis modules.
  • Well-Documented: Comprehensive documentation with examples and tutorials.

Installation

pip install neuropipeline

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