Search Results - "Ricardo Sato, Joao"
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fNIRS Optodes’ Location Decider (fOLD): a toolbox for probe arrangement guided by brain regions-of-interest
Published in Scientific reports (20-02-2018)“…The employment of functional near-infrared spectroscopy (fNIRS) as a method of brain imaging has increased over the last few years due to its portability,…”
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Predicting Student Performance Using Machine Learning in fNIRS Data
Published in Frontiers in human neuroscience (05-02-2021)“…Increasing student involvement in classes has always been a challenge for teachers and school managers. In online learning, some interactivity mechanisms like…”
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3
Generalizability of 3D CNN models for age estimation in diverse youth populations using structural MRI
Published in Scientific reports (27-04-2023)“…Recently, several studies have investigated the neurodevelopment of psychiatric disorders using brain data acquired via structural magnetic resonance imaging…”
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4
Abnormal Cortico-Cerebellar Functional Connectivity in Autism Spectrum Disorder
Published in Frontiers in systems neuroscience (15-01-2019)“…The cerebral cortex and the cerebellum are spatially remote areas that are connected by complex circuits that link both primary and associative areas. Previous…”
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Cognitive Effort during Visuospatial Problem Solving in Physical Real World, on Computer Screen, and in Virtual Reality
Published in Sensors (Basel, Switzerland) (01-02-2024)“…Spatial cognition plays a crucial role in academic achievement, particularly in science, technology, engineering, and mathematics (STEM) domains. Immersive…”
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Functional Spectroscopy Mapping of Pain Processing Cortical Areas During Non-painful Peripheral Electrical Stimulation of the Accessory Spinal Nerve
Published in Frontiers in human neuroscience (13-06-2019)“…Peripheral electrical stimulation (PES), which encompasses several techniques with heterogeneous physiological responses, has shown in some cases remarkable…”
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Abnormal brain connectivity patterns in adults with ADHD: a coherence study
Published in PloS one (26-09-2012)“…Studies based on functional magnetic resonance imaging (fMRI) during the resting state have shown decreased functional connectivity between the dorsal anterior…”
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8
Assessing the educational performance of different Brazilian school cycles using data science methods
Published in PloS one (17-03-2021)“…Educational indicators are metrics that assist in assessing the quality of the educational system. They are often associated with economic and social factors…”
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Measuring network's entropy in ADHD: A new approach to investigate neuropsychiatric disorders
Published in NeuroImage (Orlando, Fla.) (15-08-2013)“…The application of graph analysis methods to the topological organization of brain connectivity has been a useful tool in the characterization of brain related…”
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10
Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies
Published in Revista brasileira de psiquiatria (26-07-2022)“…The neurobiological factors associated with the emergence of major depressive disorder (MDD) in adolescence are still unclear. Previous cross-sectional studies…”
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Abnormal Functional Resting-State Networks in ADHD: Graph Theory and Pattern Recognition Analysis of fMRI Data
Published in BioMed research international (01-01-2014)“…The framework of graph theory provides useful tools for investigating the neural substrates of neuropsychiatric disorders. Graph description measures may be…”
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Student’s Perspective and Teachers’ Metacognition: Applications of Eye-Tracking in Education and Scientific Research in Schools
Published in Frontiers in psychology (22-07-2021)“…This Perspective article discusses the possible contributions of eye-tracking (ET) to the field of Educational Neuroscience based on an application of this…”
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A guide for the use of fNIRS in microcephaly associated to congenital Zika virus infection
Published in Scientific reports (29-09-2021)“…Congenital Zika Syndrome (CZS) is characterized by changes in cranial morphology associated with heterogeneous neurological manifestations and cognitive and…”
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Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo
Published in Frontiers in computational neuroscience (27-07-2023)“…Interpersonal neural synchronization (INS) demands a greater understanding of a brain's influence on others. Therefore, brain synchronization is an even more…”
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Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms
Published in Frontiers in computational neuroscience (14-09-2022)“…Hyperscanning is a promising tool for investigating the neurobiological underpinning of social interactions and affective bonds. Recently, graph theory…”
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Applying functional near-infrared spectroscopy and eye-tracking in a naturalistic educational environment to investigate physiological aspects that underlie the cognitive effort of children during mental rotation tests
Published in Frontiers in human neuroscience (12-08-2022)“…Spatial cognition is related to academic achievement in science, technology, engineering, and mathematics (STEM) domains. Neuroimaging studies suggest that…”
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Evaluating different methods of microarray data normalization
Published in BMC bioinformatics (23-10-2006)“…With the development of DNA hybridization microarray technologies, nowadays it is possible to simultaneously assess the expression levels of thousands to tens…”
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Discriminating different classes of biological networks by analyzing the graphs spectra distribution
Published in PloS one (19-12-2012)“…The brain's structural and functional systems, protein-protein interaction, and gene networks are examples of biological systems that share some features of…”
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Granger Causality among Graphs and Application to Functional Brain Connectivity in Autism Spectrum Disorder
Published in Entropy (Basel, Switzerland) (13-09-2021)“…Graphs/networks have become a powerful analytical approach for data modeling. Besides, with the advances in sensor technology, dynamic time-evolving data have…”
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Assessing atypical brain functional connectivity development: An approach based on generative adversarial networks
Published in Frontiers in neuroscience (09-01-2023)“…Generative Adversarial Networks (GANs) are promising analytical tools in machine learning applications. Characterizing atypical neurodevelopmental processes…”
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