Mr. Marco Pinheiro Miranda
Department of Physics, Universidade de Lisboa - Instituto Superior Tecnico, Lisbon, Lisboa, Portugal
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Academic Career Length
6Years (2021-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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Journal Article
CDChristophe Domingos
Christophe DomingosHCHigino da Silva Caldeira
Higino da Silva CaldeiraMarco Pinheiro MirandaFMFernando Melicio
Fernando MelicioARAgostinho Rosa
Agostinho RosaJPJosé Gomes Pereira
José Gomes PereiraConsidering that athletes constantly practice and compete in noisy environments, the aim was to investigate if performing neurofeedback training in these conditions would yield better results in performance than in silent ones. A total of forty-five student athletes aged from 18 to 35 years old and divided equally into three groups participated in the experiment (mean ± SD for age: 22.02 ± 3.05 years). The total neurofeedback session time for each subject was 300 min and were performed twice a week. The environment in which the neurofeedback sessions were conducted did not seem to have a significant impact on the training’s success in terms of alpha relative amplitude changes (0.04 ± 0.08 for silent room versus 0.07 ± 0.28 for noisy room, p = 0.740). However, the group exposed to intermittent noise appears to have favourable results in all performance assessments (p = 0.005 for working memory and p = 0.003 for reaction time). The results of the study suggested that performing neurofeedback training in an environment with intermittent noise can be interesting to athletes. Nevertheless, it is imperative to perform a replicated crossover design.
Journal Article
CDChristophe Domingos
Christophe DomingosJMJoão Luís Marôco
João Luís MarôcoMarco Pinheiro Miranda
Carlos SilvaXMXavier Melo
Xavier MeloCBCarla Chicau Borrego
Carla Chicau BorregoElectroencephalography (EEG) is attracting increasing attention in the sports and exercise fields, as it provides insights into brain behavior during specific tasks. However, it remains unclear if the promising wireless EEG caps provide reliable results despite the artifacts associated with head movement. The present study aims to evaluate the repeatability of brain activity as measured by a wireless 32-channel EEG system (EMOTIV flex cap) during resistance exercises in 18 apparently healthy but physically inactive young adults (10 men and 8 women). Moderate-intensity leg press exercises are performed with two evaluations with 48 h. between. This intensity allows enough time for data analysis while reducing unnecessary but involuntary head movements. Repeated measurements of EEG during the resistance exercise show high repeatability in all frequency bands, with excellent ICCs (>0.90) and bias close to zero, regardless of sex. These results suggest that a 32-channel wireless EEG system can be used to collect data on controlled resistance exercise tasks performed at moderate intensities. Future studies should replicate these results with a bigger sample size and different resistance exercises and intensities.
26 November 2025
Conference Paper
About Me
As a musician, composer and music lover from an early age I remember listening to music because my grandfather was a portuguese guitar master. As I grew up several questions emerged including what music is and how auditory perception is processed. The Technological Physics Engineering course allowed me to reconcile and study this interdisciplinary fusion of two worlds: Music and Physics, in particular the area of neuroscience. My master’s thesis made it possible to map the effect of some musical excerpts and some auditory stimuli (among others monaural and binaural beats) on human brainwaves. Currently and making use of the data collected in my master’s thesis I am finalizing the article (submission expected soon in a specialized journal in neuroimaging) «Brain Mapping of EEG Changes with Aural Stimulation». I collaborate on the research projects: BraiNSy (sonification of EEG signals recorded during sleep; CD «SOMNATIKA» - Chiptune EEG-based sonification recorded during sleep - released in April 2021), McGEA (Music composition using Evolutionary Genetic Algorithms; song «The Survivor» released on CD «Sound Research», 2007) and «PolyBrain Sonifier» (Polyphonic real-time brainwave sonifier using a portable EEG headset - BCI, Brain-Computer Interface). As a musician and composer, the portuguese guitar represents the hallmark of my musical identity, merging their sound with diverse soundscapes, including electronic music: youtu.be/O95h1VWL1zo (TV interview).