BOARD-FTD-PACC: a graphical user interface for the synaptic and cross-frequency analysis derived from neural signals

Cécile Gauthier-Umaña, Mario Valderrama, Alejandro Múnera, Mauricio O. Nava-Mesa

Research output: Contribution to journalArticlepeer-review

Abstract

In order to understand the link between brain functional states and behavioral/cognitive processes, the information carried in neural oscillations can be retrieved using different analytic techniques. Processing these different bio-signals is a complex, time-consuming, and often non-automatized process that requires customization, due to the type of signal acquired, acquisition method implemented, and the objectives of each individual research group. To this end, a new graphical user interface (GUI), named BOARD-FTD-PACC, was developed and designed to facilitate the visualization, quantification, and analysis of neurophysiological recordings. BOARD-FTD-PACC provides different and customizable tools that facilitate the task of analyzing post-synaptic activity and complex neural oscillatory data, mainly cross-frequency analysis. It is a flexible and user-friendly software that can be used by a wide range of users to extract valuable information from neurophysiological signals such as phase–amplitude coupling and relative power spectral density, among others. BOARD-FTD-PACC allows researchers to select, in the same open-source GUI, different approaches and techniques that will help promote a better understanding of synaptic and oscillatory activity in specific brain structures with or without stimulation.

Original languageEnglish
Article number12
JournalBrain Informatics
Volume10
Issue number1
DOIs
StatePublished - Dec 2023

Keywords

  • Cross-frequency analysis
  • Event-related potentials
  • Phase coherence
  • Phase–amplitude coupling
  • Synaptic analysis

Fingerprint

Dive into the research topics of 'BOARD-FTD-PACC: a graphical user interface for the synaptic and cross-frequency analysis derived from neural signals'. Together they form a unique fingerprint.

Cite this