A5067834176- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Transcranial Magnetic Stimulation Studies
- Neural and Behavioral Psychology Studies
- Optical Imaging and Spectroscopy Techniques
- Advanced Neuroimaging Techniques and Applications
- Attention Deficit Hyperactivity Disorder
- Neural Networks and Applications
- HIV/AIDS Research and Interventions
- Neurogenetic and Muscular Disorders Research
- Mobile Health and mHealth Applications
- Muscle Physiology and Disorders
- Gene Regulatory Network Analysis
- Cardiomyopathy and Myosin Studies
- Spectroscopy and Chemometric Analyses
- Neurological disorders and treatments
- Pain Management and Treatment
- Digital Mental Health Interventions
- Health, Environment, Cognitive Aging
- Non-Invasive Vital Sign Monitoring
University of Coimbra
2019-2024
Universidade Federal do Rio de Janeiro
2023
Abstract Functional near-infrared spectroscopy (fNIRS) provides a cost-efficient and portable alternative to functional magnetic resonance imaging (fMRI) for assessing cortical activity changes based on hemodynamic signals. The spatial temporal underpinnings of the fMRI blood-oxygen-level-dependent (BOLD) signal corresponding fNIRS concentration oxygenated (HbO), deoxygenated (HbR), total hemoglobin (HbT) measurements are still not completely clear. We aim analyze correspondence between...
The expansion of functional near-infrared spectroscopy (fNIRS) methodology and analysis tools gives rise to various design analytical decisions that researchers have make. Several recent efforts developed guidelines for preprocessing, analyzing, reporting practices. For the planning stage fNIRS studies, similar guidance is desirable. Study preregistration helps transparently document study protocols before conducting study, including materials, methods, analyses, thus, others verify,...
Abstract Background Deficits in executive function (EF) are consistently reported autism spectrum disorders (ASD). Tailored cognitive training tools, such as neurofeedback, focused on enhancement might have a significant impact the daily life functioning of individuals with ASD. We report first real-time fMRI neurofeedback (rt-fMRI NF) study targeting left dorsolateral prefrontal cortex (DLPFC) Methods Thirteen without intellectual disability and seventeen neurotypical completed rt-fMRI...
Executive functions and motivation have been established as key aspects for neurofeedback success. However, task-specific influence of cognitive strategies is scarcely explored. In this study, we test the ability to modulate dorsolateral prefrontal cortex, a strong candidate clinical application in several disorders with dysexecutive syndrome, investigate how feedback contributes better performance single session. Participants both (n = 17) sham-control 10) groups were able DLPFC most runs...
Introduction: The potential therapeutic efficacy of real-time fMRI Neurofeedback has received increasing attention in a variety psychological and neurological disorders as tool to probe cognition. Despite its growing popularity, the success rate varies significantly, underlying neural mechanisms are still matter debate. question whether an individually tailored framework positively influences neurofeedback remains largely unexplored. Methods: To address this question, participants were...
The analysis of connectivity has become a fundamental tool in human neuroscience. Granger Causality Mapping is data-driven method that uses (GC) to assess the existence and direction influence between signals, based on temporal precedence information. More recently, theory causality been developed for state-space (SS-GC) processes, but little known about its statistical validation application functional magnetic resonance imaging (fMRI) data. We explored different multivariate computational...
In neuroimaging research, efforts to enhance replication and reproducibility have increased the focus on improving transparency, particularly in complex data analysis processes. We conducted a multi-lab collaborative study involving 38 international teams that analyzed two functional Near-Infrared Spectroscopy (fNIRS) datasets. These tested seven group-level forty individual-level hypotheses, they submitted detailed reports their pipelines testing outcomes. The results showed significant...
In neuroimaging research, efforts to enhance replication and reproducibility have increased the focus on improving transparency, particularly in complex data analysis processes. We conducted a multi-lab collaborative study involving 38 international teams that analyzed two functional Near-Infrared Spectroscopy (fNIRS) datasets. These tested seven group-level forty individual-level hypotheses, they submitted detailed reports their pipelines testing outcomes. The results showed significant...
Significance: The expansion of fNIRS methodology and analysis tools give rise to various design analytical decisions researchers have make. Several recent efforts developed guidelines for preprocessing, analyzing, reporting practices. For the planning stage studies, similar guidance would be desirable. Study preregistration helps transparently document study protocols before conducting - including materials, methods analyses thus others verify, understand, reproduce a study. Preregistration...
Deficits in executive function (EF) are consistently reported autism spectrum disorders (ASD). Tailored cognitive training tools, such as neurofeedback, focused on functions enhancement would have significant impact daily-life functioning of individuals with ASD. We report the first real-time neurofeedback (rt-fMRI NF) study targeting left dorsolateral prefrontal cortex (DLPFC) Thirteen high and seventeen controls performed a rt-fMRI working memory NF paradigm, consisting subvocal backward...
Real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback (NF), a training method for the self-regulation of brain activity, has shown promising results as neurorehabilitation tool, depending on ability patient to succeed in neuromodulation. This study explores connectivity-based structural and success predictors an NF
Abstract Background The analysis of connectivity has become a fundamental tool in human neuroscience. Granger Causality Mapping is data-driven method that uses (GC) to assess the existence and direction influence between signals, based on temporal precedence information. More recently, theory causality been developed for state-space (SS-GC) processes, but little known about its statistical validation application functional magnetic resonance imaging (fMRI) data. New Method We implemented new...