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

Q1 Computer Science
Cécile Gauthier-Umaña, Mario Valderrama, Alejandro Múnera, Mauricio O Nava-Mesa
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引用次数: 0

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.

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ftd - pacc:一个图形用户界面,用于从神经信号中提取的突触和交叉频率分析。
为了了解大脑功能状态和行为/认知过程之间的联系,可以使用不同的分析技术检索神经振荡中携带的信息。处理这些不同的生物信号是一个复杂的,耗时的,往往是非自动化的过程,需要定制,由于信号的类型,采集方法的实施,和每个单独的研究小组的目标。为此,开发和设计了一个新的图形用户界面(GUI),名为BOARD-FTD-PACC,以促进神经生理记录的可视化,量化和分析。BOARD-FTD-PACC提供了不同的和可定制的工具,有助于分析突触后活动和复杂的神经振荡数据,主要是交叉频率分析。它是一种灵活且用户友好的软件,可以被广泛的用户使用,从神经生理信号中提取有价值的信息,如相位振幅耦合和相对功率谱密度等。BOARD-FTD-PACC允许研究人员在相同的开源GUI中选择不同的方法和技术,这些方法和技术将有助于更好地理解有或没有刺激的特定大脑结构中的突触和振荡活动。
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来源期刊
Brain Informatics
Brain Informatics Computer Science-Computer Science Applications
CiteScore
9.50
自引率
0.00%
发文量
27
审稿时长
13 weeks
期刊介绍: Brain Informatics is an international, peer-reviewed, interdisciplinary open-access journal published under the brand SpringerOpen, which provides a unique platform for researchers and practitioners to disseminate original research on computational and informatics technologies related to brain. This journal addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics. It also welcomes emerging information technologies and advanced neuro-imaging technologies, such as big data analytics and interactive knowledge discovery related to various large-scale brain studies and their applications. This journal will publish high-quality original research papers, brief reports and critical reviews in all theoretical, technological, clinical and interdisciplinary studies that make up the field of brain informatics and its applications in brain-machine intelligence, brain-inspired intelligent systems, mental health and brain disorders, etc. The scope of papers includes the following five tracks: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing
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