Open-Source Tools to Analyze Temporal and Spatial Properties of Local Field Potentials

Area of Science:

• Neuroscience
• Computational Neuroscience

Background:

• Local field potential (LFP) analysis is crucial for understanding brain network dynamics.
• Existing LFP analysis tools often lack features for high frequency oscillations (HFOs) and spatial properties, and are limited by closed source code or high costs.

Approach:

• Developed two freely available, open-source tools: hfoGUI for temporal analysis of LFPs and HFOs (ripples, fast ripples), and SSM (Spatial Spectral Mapper) for spatial analysis of LFP spectral power.
• hfoGUI facilitates scoring of HFOs relevant to memory and neurological disorders.
• SSM maps LFP spectral power against subject position, enabling investigation of spatial signal properties.

Key Points:

• hfoGUI and SSM provide unique, accessible temporal and spatial analysis capabilities for LFP data.
• The tools address limitations of existing LFP analysis software, including lack of HFO and spatial analysis features.
• Open-source nature ensures broad accessibility for researchers.

Conclusions:

• The developed hfoGUI and SSM tools enhance the accessibility and scope of LFP data analysis.
• These tools offer novel spatio-temporal analysis and visualization of LFP signals.
• Facilitates advanced research into brain function, memory, and neurological disorders through accessible neurophysiological data analysis.