We present a Matlab toolbox that allows the user to control and collect data using Northern Digital's Optotrak system. The Optotrak is a modular motion capture system, which tracks the positions of infrared markers. It also supports grouping markers together as a single body. The body's position, orientation as well as all the marker position data can be obtained simultaneously. The installation, set-up and alignment procedures are highly automated, and thus require minimal human interaction. We provide additional scripts, functions, documentation and examples to help experimenters integrate the Optotrak system into experiments using recent 64-bit computers and existing Matlab toolboxes.

Hundreds of papers are written about hypospadias every year referring to all aspects of the pathology, being one of the most common congenital malformations. The present study conducted a scoping review of articles published in 2021 to present the main issues and summarize current perspectives and achievements in the field. It searched for the keyword 'hypospadias' in the three most popular databases (PubMed, Scopus and Web of Science). After the analysis of the publications, they were categorized into different domains.

In EEG studies, one of the most common ways to detect a weak periodic signal in the steady-state visual evoked potential (SSVEP) is spectral evaluation, a process that detects peaks of power present at notable temporal frequencies. However, the presence of noise decreases the signal-to-noise ratio (SNR), which in turn lowers the probability of successful detection of these spectral peaks. In this paper, using a single EEG channel, we compare the detection performance of four different metrics to analyse the SSVEP: two metrics that use spectral power density, and two other metrics that use phase coherency. We employ these metrics find weak signals with a known temporal frequency hidden in the SSVEP, using both simulation and real data from a stereoscopic apparent depth movement perception task. We demonstrate that out of these metrics, the phase coherency analysis is the most sensitive way to find weak signals in the SSVEP, provided that the phase information of the stimulus eliciting the SSVEP is preserved.

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