Marco Simoes

Marco Simoes
  • Doctor of Philosophy
  • University of Coimbra

About

68
Publications
15,197
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869
Citations
Introduction
Marco Simoes currently works at the Faculty of Medicine (CIBIT) and the Department of Informatics Engineering, University of Coimbra. Marco does research in Computational Neuroscience applied to the Autism Spectrum Disorder.
Current institution

Publications

Publications (68)
Article
Burns are among the most common skin injuries worldwide, often requiring prolonged or lifelong medical intervention and imposing significant burdens on healthcare systems. Traditional treatments frequently fail to meet the multifaceted demands of burn care, underscoring the need for advanced therapeutic approaches. Hydrogel dressings have emerged a...
Article
Full-text available
Cardiac cycle duration, or interbeat interval (IBI), is the period from one heartbeat to the next. IBI changes from cycle to cycle. Periods with longer IBI are associated with higher sensitivity to external sensory stimuli (exteroception). Warning cues induce a state of attentive anticipation characterized by an increase in IBI (anticipatory cardia...
Article
Full-text available
Background: Firefighters face stressful life-threatening events requiring fast decision-making. To better prepare for those situations, training is paramount, but errors in real-life training can be harmful. Virtual reality (VR) simulations provide the desired realism while enabling practice in a secure and controlled environment. Firefighters’ aff...
Article
Full-text available
Neurodevelopmental disorders affect the lifespan of diagnosed individuals and their families. COVID-19 challenged these families with daily routine unpredictability requiring rapid adaptations. Moreover, associations and schools were closed, leaving these families without regular social support. Here, we investigate which individual and family fact...
Article
Successively predicting whether mild cognitive impairment patients will progress to Alzheimer’s disease is of significant clinical relevance. This ability may provide information that can be leveraged by emerging intervention approaches and thus mitigate some of the negative effects of the disease. Neuroimaging biomarkers have gained some attention...
Article
Full-text available
When a single choice impacts on life outcomes, faculties to make ethical judgments come into play. Here we studied decisions in a real-life setting involving life-and-death outcomes that affect others and the decision-maker as well. We chose a genuine situation where prior training and expertise play a role: firefighting in life-threatening situati...
Article
Full-text available
Hydrogels are polymeric materials that possess a set of characteristics meeting various requirements of an ideal wound dressing, making them promising for wound care. These features include, among others, the ability to absorb and retain large amounts of water and the capacity to closely mimic native structures, such as the extracellular matrix, fa...
Article
Full-text available
Cognitive human error and recent cognitive taxonomy on human error causes of software defects support the intuitive idea that, for instance, mental overload, attention slips, and working memory overload are important human causes for software bugs. In this paper, we approach the EEG as a reliable surrogate to MRI-based reference of the programmer’s...
Technical Report
In this study, we conducted a dual independent component analysis on resting-state fMRI data. We identified subject-specific spatially independent components, then we sorted them based on specified measures. Next, we selected the most correlated components in each subject. After that, we calculated summary measures for individual components obtaini...
Technical Report
Full-text available
The study investigates neural activity patterns utilizing functional magnetic resonance imaging (fMRI) data obtained from the COBRE dataset [1], encompassing 72 patients with Schizophrenia and 74 healthy controls. The dataset underwent preprocessing using the Statistical Parametric Mapping (SPM). For the spatial maps analysis, Independent Component...
Preprint
Full-text available
Periods of slow heart rate are associated with increased sensory sensitivity. Accordingly, cardiac deceleration occurs when individuals orient their attention in anticipation of a sensory stimulus they might have to respond to (attentive anticipation). Cardiac deceleration might be important to optimize sensory processing. However, it is unclear wh...
Article
Full-text available
Introduction Emotion recognition is a core feature of social perception. In particular, perception of dynamic facial emotional expressions is a major feature of the third visual pathway. However, the classical N170 visual evoked signal does not provide a pure correlate of such processing. Indeed, independent component analysis has demonstrated that...
Preprint
BACKGROUND Firefighters face stressful life-threatening events requiring fast decision-making. To better prepare for those situations, training is paramount, but errors in real-life training can be harmful. Virtual reality (VR) simulations provide the desired realism while enabling practice in a secure and controlled environment. Firefighters’ affe...
Article
Full-text available
Objectives: In ST-segment elevation myocardial infarction (STEMI), time delay between symptom onset and treatment is critical to improve outcome. The expected transport delay between patient location and percutaneous coronary intervention (PCI) centre is paramount for choosing the adequate reperfusion therapy. The "Centro" region of Portugal has h...
Article
Full-text available
Ultra-short-term HRV features assess minor autonomous nervous system variations such as variations resulting from cognitive stress peaks during demanding tasks. Several studies compare ultra-short-term and short-term HRV measurements to investigate their reliability. However, existing experiments are conducted in low cognitively demanding environme...
Article
Full-text available
Objective. P300 can be analyzed in autism spectrum disorder (ASD) to derive biomarkers and can be decoded in brain–computer interfaces to reinforce ASD impaired skills. Convolutional neural networks (CNNs) have been proposed for P300 decoding, outperforming traditional algorithms but they (a) do not investigate optimal designs in different training...
Chapter
Full-text available
O período entre 2018 e 2022 mostrou-nos que o problema dos incêndios à escala global não está a diminuir, antes pelo contrário. Parece que as consequências das alterações climáticas já estão a afectar a ocorrência de incêndios florestais em várias partes do Mundo, de uma forma que só esperaríamos que acontecesse vários anos mais tarde. Em muitos pa...
Poster
Full-text available
Background In ST-segment elevation myocardial infarction (STEMI), time delay between symptom onset and treatment is critical to improve outcome. The expected transport delay between patient location and percutaneous coronary intervention (PCI) centre is paramount for choosing the adequate reperfusion therapy. The “Centre” region of Portugal has het...
Conference Paper
Atypical sensory processing is now considered a ubiquitous feature of autism spectrum disorder (ASD) and is responsible for the atypical sensory-based behaviours seen in these individuals. Specifically, emotional arousal is a critical ASD target since it comprises emotion regulation and sensory processing, two core aspects of autism. So, in this pr...
Conference Paper
The increase in Autism Spectrum Disorder (ASD) prevalence estimates over the last decades has driven a quest to develop new forms of rehabilitation that can be accessible to a larger part of this population. These rehabilitation approaches often take the form of computer games that are blind to the user's emotional state, which compromises their ef...
Poster
Background In ST-segment elevation myocardial infarction (STEMI), time delay between symptom onset and treatment is critical to improve outcome. The expected transport delay between patient location and percutaneous coronary intervention (PCI) centre is paramount for choosing the adequate reperfusion therapy. The “Centre” region of Portugal has het...
Article
Full-text available
Autism spectrum disorder is characterized by abnormal function in core social brain regions. Here, we demonstrate the feasibility of real-time functional magnetic resonance imaging volitional neurofeedback. Following up the demonstration of neuromodulation in healthy participants, in this repeated-measure design clinical trial, 15 autism spectrum d...
Chapter
Recent studies suggest that temporoparietal junction (TPJ) modulation can influence attention and social cognition performance. Nevertheless, no studies have used multichannel transcranial direct current stimulation (tDCS) over bilateral TPJ to estimate the effects on these neuropsychological functions. The project STIPED is using optimized multich...
Article
Full-text available
Interpersonal distance (IPD) is a simple social regulation metric which is altered in autism. We performed a stop-distance paradigm to evaluate IPD regulation in autism spectrum disorder (ASD) and control groups in a real versus a virtual environment mimicking in detail the real one. We found a bimodal pattern of IPDs only in ASD. Both groups showe...
Poster
Full-text available
Introduction The expected delay of transport between patient location and percutaneous coronary intervention (PCI) centre is paramount for choosing the adequate reperfusion therapy in ST-segment elevation myocardial infarction (STEMI). The central region of Portugal has heterogeneity in PCI assess due to geographical reasons. However, this data is...
Article
Full-text available
There is a lack of multi-session P300 datasets for Brain-Computer Interfaces (BCI). Publicly available datasets are usually limited by small number of participants with few BCI sessions. In this sense, the lack of large, comprehensive datasets with various individuals and multiple sessions has limited advances in the development of more effective d...
Article
Full-text available
Objective. fMRI-based neurofeedback (NF) interventions represent the method of choice for the neuromodulation of localized brain areas. Although we have already validated an fMRI-NF protocol targeting the facial expressions processing network (FEPN), its dissemination is hampered by the economical and logistical constraints of fMRI-NF interventions...
Article
Full-text available
Functional magnetic resonance imaging (fMRI) is the technique of choice for detecting large-scale functional brain networks and to investigate their dynamics. Because fMRI measures brain activity indirectly, electroencephalography (EEG) has been recently considered a feasible tool for detecting such networks, particularly the resting-state networks...
Chapter
GameAAL - Gamification Supporting Active and Assisted Living is an innovative system to monitor elderly daily life activities and provide neurocognitive stimulation games. The solution is focused at filling a gap on existing Ambient Assisted Living solutions, promoting social interaction and mobility of end-users using gamification and machine lear...
Article
Full-text available
Introduction: Impairments in executive functions are common in neurogenetic disorders such as Huntington’s disease (HD) and are thought to significantly influence the patient’s functional status. Reliable tools with higher ecological validity that can assess and predict the impact of executive dysfunction in daily-life performance are needed. This...
Article
The superior temporal sulcus (STS) encompasses a complex set of regions involved in a wide range of cognitive functions. To understand its functional properties, neuromodulation approaches such brain stimulation or neurofeedback can be used. We investigated whether the posterior STS (pSTS), a core region in the face perception and imagery network,...
Article
Full-text available
Imagery of facial expressions in Autism Spectrum Disorder (ASD) is likely impaired but has been very difficult to capture at a neurophysiological level. We developed an approach that allowed to directly link observation of emotional expressions and imagery in ASD, and to derive biomarkers that are able to classify abnormal imagery in ASD. To provid...
Conference Paper
In this paper, we present a database developed for studying inner speech brain related areas using functional Magnetic Resonance Imaging (fMRI) in the context of the European Portuguese. First, we addressed the type of stimuli used in inner speech studies. In this sense, considering a preliminary study using a picture naming task, we defined a corp...
Conference Paper
Full-text available
Inner speech can be defined as the act of talking silently with ourselves. Several studies aimed to understand how this process is related to speech organization and language. Despite the advances, some results are still contradictory. Importantly, language dependency is scarcely studied. For this first study of inner speech for Portuguese native s...
Conference Paper
Background Impairments in functional cognition (cognitive skills underlying the performance of everyday activities) are frequent in Huntington and Parkinson Disease (HD and PD) and are thought to significantly influence the quality of life of patients. Assessment tools that can fully apprehend this domain are scarce. Aims This study aims to use no...
Article
Full-text available
Deficits in the interpretation of others' intentions from gaze-direction or other social attention cues are well-recognized in ASD. Here we investigated whether an EEG brain computer interface (BCI) can be used to train social cognition skills in ASD patients. We performed a single-arm feasibility clinical trial and enrolled 15 participants (mean a...
Conference Paper
P300-based Brain Computer Interfaces (BCI) are one of the most used types of BCIs in the literature that make use of the electroencephalogram (EEG) signal to convey commands to the computer. The efficiency of such systems depends drastically on the ability of correctly identifying the P300 wave in the EEG signal. Due to high inter-subject and inter...
Article
Full-text available
Background: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social interaction and repetitive patterns of behavior, which can lead to deficits in adaptive behavior. In this study, a serious game was developed to train individuals with ASD for an important type of outdoor activity, which is the use of...
Article
Full-text available
The aim of this systematic review is to examine electrophysiological differences in emotional facial expression processing in autism spectrum disorder (ASD). We identified 55 articles using PubMed. After application of the rejection criteria, in a two-step procedure, based on abstract and full-text reading, we selected 16 studies for review. We ide...
Article
Background: We present a novel virtual-reality P300-based Brain Computer Interface (BCI) paradigm using social cues to direct the focus of attention. We combined interactive immersive virtual-reality (VR) technology with the properties of P300 signals in a training tool which can be used in social attention disorders such as autism spectrum disord...
Conference Paper
The relationship between EEG and fMRI data is poorly covered in the literature. Extensive work has been conducted in resting-state and epileptic activity, highlighting a negative correlation between the alpha power band of the EEG and the BOLD activity in the default-mode-network. The identification of an appropriate task-specific relationship betw...
Article
Full-text available
Abstract Background We aimed to investigate the separability of the neural correlates of 2 types of motor imagery, self and third person (actions owned by the participant himself vs. another individual). If possible this would allow for the development of BCI interfaces to train disorders of action and intention understanding beyond simple imitatio...
Conference Paper
Background Executive dysfunction is one of the major causes of everyday impairments found in Huntington’s disease (HD). Reliable tools to assess and predict the impact of executive dysfunction on the patient’s activities of daily living are lacking. Aims This study aims to get a comprehensive picture of the real-life executive deficits shown by HD...
Conference Paper
The identification and interpretation of facial expressions is an important feature of social cognition. This characteristic is often impaired in various neurodevelopmental disorders. Recent therapeutic approaches to intervene in social communication impairments include neurofeedback (NF). In this study, we present a NF real-time functional Magneti...
Conference Paper
Full-text available
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social interaction and repetitive patterns of behavior. This article describes the creation of a serious game that prepares individuals with ASD to use buses as a mean of transportation. Virtual reality (VR) support was added, increasing the feeling of p...
Article
Full-text available
Classification of neural signals at the single-trial level and the study of their relevance in af-fective and cognitive neuroscience are still in their infancy. Here we investigated the neuro-physiological correlates of conditions of increasing social scene complexity using 3D human models as targets of attention, which may also be important in aut...
Conference Paper
Full-text available
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that besides the core symptoms of impairment in communication, social interaction and repetitive behaviour, seriously compromises adaptive functioning limiting social inclusion. A number of studies also support executive dysfunction in ASD, although its specificity remains controversia...
Conference Paper
Full-text available
Visual event-related potentials of facial expressions (FEs) have been studied using usually static stimuli after a nonspecific black screen as a baseline. However, when studying social events, the ecology of the environment and stimuli can be a bias. Virtual reality provides a possible approach to improve ecology while keeping stimulus control. We...
Poster
Background / Purpose: Visual evoked potential oddball paradigms are in general based on stimuli of relative simplicity and use many response averages of the electroencephalography (EEG) signal. Here, we investigated the neurophysiological correlates of complex social cognition using 3D human models as targets of attention to social stimuli at a s...
Article
Full-text available
This paper presents several methodological and algorithmic improvements over a state-of-the-art dynamic programming algorithm for solving the bi-objective {0,1} knapsack problem. The variants proposed make use of new definitions of lower and upper bounds, which allow a large number of states to be discarded. The computation of these bounds are base...
Conference Paper
Full-text available
This article reports an experimental study on a given structural property of connectedness of optimal solutions for two variants of the bicriteria knapsack problem. A local search algorithm that explores this property is then proposed and its performance is compared against exact algorithms in terms of running time and number of optimal solutions f...

Questions

Question (1)
Question
I am looking for public datasets of COVID-19 patients with biosignal information (ECG, for instance) and/or imaging data (X-ray, CT scans). Found some CT scan datasets but with a low number of cases (~50).
Is there any dataset I might be missing?
Thanks!

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