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BOARD-FTD-PACC: a graphical user interface for the synaptic and cross-frequency analysis derived from neural signals
Cécile Gauthier-Umaña1,2, Mario Valderrama3, Alejandro Múnera4
1Grupo de Investigación en Neurociencias (NeURos), Centro de Neurociencias Neurovitae-UR, Instituto de Medicina Traslacional (IMT), Escuela de Medicina y Ciencias de la Salud, Universidad del Rosario, Bogotá, Colombia.
Analyzing brain functional states requires complex neurophysiological signal processing. The new BOARD-FTD-PACC software offers a user-friendly graphical interface for visualizing and quantifying neural oscillations, aiding research into brain activity.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Cognitive Science
Background:
- Understanding brain functional states and cognitive processes relies on analyzing neural oscillations.
- Processing neurophysiological bio-signals is complex, time-consuming, and requires customization.
- Existing methods often lack user-friendliness and automation for diverse research needs.
Purpose of the Study:
- To develop a novel graphical user interface (GUI) for streamlined neurophysiological data analysis.
- To facilitate the visualization, quantification, and analysis of neural oscillations and synaptic activity.
- To provide customizable tools for researchers studying brain functional states.
Main Methods:
- Development of BOARD-FTD-PACC, an open-source graphical user interface.
- Implementation of customizable tools for analyzing post-synaptic activity and neural oscillatory data.
- Focus on cross-frequency analysis, phase-amplitude coupling, and relative power spectral density.
Main Results:
- BOARD-FTD-PACC simplifies the complex process of analyzing neurophysiological recordings.
- The software offers flexibility and user-friendliness for a wide range of users.
- Enables selection of diverse analytical approaches within a single GUI.
Conclusions:
- BOARD-FTD-PACC enhances the understanding of synaptic and oscillatory activity in brain structures.
- The tool promotes more efficient and accessible neurophysiological data analysis.
- Facilitates research linking brain activity to behavioral and cognitive processes.
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