Translational Education, Implications of neuroscience in the early years, how to understand and study the Prelinguistic stage? EEG Data Analysis, EEG ERP P300 N400 EEG microStates
Translational Education, Implications of neuroscience in the early years, how to understand and study the Prelinguistic stage? EEG Data Analysis, EEG ERP P300 N400 EEG microStates
Translational education refers to the process of translating scientific research into practical applications in educational settings. It involves bridging the gap between scientific knowledge and educational practices to improve teaching and learning outcomes. When it comes to the early years of education, understanding the implications of neuroscience can provide valuable insights into how children learn and develop during this critical period.
Neuroscience research has shown that the early years of life are a period of rapid brain development, and experiences during this time can have a profound impact on a child's cognitive, social, and emotional development. By integrating findings from neuroscience into educational practices, educators can create environments and design activities that support optimal brain development in young children.
To understand and study the prelinguistic stage, which refers to the period before a child begins to use language, researchers and educators employ various approaches. Here are some key considerations and methods for studying the prelinguistic stage:
Observational Studies: Observing infants and young children in their natural environments can provide valuable insights into their early communication skills and prelinguistic behaviors. Researchers use systematic observation methods to document and analyze behaviors such as eye contact, joint attention, babbling, gestures, and nonverbal communication.
Developmental Milestones: Studying developmental milestones helps identify the typical sequence of prelinguistic skills and behaviors. Milestones include activities such as making eye contact, imitating facial expressions, responding to sounds, and engaging in turn-taking interactions.
Neuroimaging Techniques: Neuroimaging methods, such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), can provide information about brain activity during the prelinguistic stage. These techniques help researchers understand the neural processes underlying early communication and language development.
Parental Reports: Gathering information from parents and caregivers through questionnaires or interviews can provide valuable insights into the prelinguistic stage. Parents can provide information about their child's early communication behaviors, such as their responsiveness to sounds, use of gestures, and attempts at vocalizations.
Longitudinal Studies: Longitudinal studies, which follow the same group of children over an extended period, can provide a comprehensive understanding of the progression of prelinguistic skills and behaviors. Such studies allow researchers to observe individual differences, developmental trajectories, and potential predictors of later language development.
By combining these approaches, researchers gain a deeper understanding of prelinguistic development and the factors that contribute to language acquisition. This knowledge can inform educational practices, interventions, and support strategies during the early years to promote healthy language development and communication skills in young children.
IV Encontro Anual da Rede CpE - 2021 | Translational Education
O que é Poda Neuronal?Ferramentas para medir o desenvolvimento infantil e a qualidade no ensino na pré-escola.Vivemos a era da cultura digital. O conhecimento, muitas vezes, é intermediado pela tecnologia da informação e da comunicação. Implications of neuroscience in the early years .Exercícios físicos regulares, aumento de atenção e motivação,Habilidades socioemocionais ou competências socioemocionais para lidar com as próprias emoções. Etapa prelingüística
Translational Education | MultiRio - Jornada Pedagógica 2/3
MultiRio - Jornada Pedagógica 3/3 - MAR 21
EEG Data Analysis I | EEG Data Analysis
EEG Data Analysis Analyzer:Analysis software for EEG ERP P300 N400 research, Video integration, Raw Data Inspection, interactive ICA, FFT, Wavelets, LORETA, MR and CB artifact correction, Integration for eye-tracking data,CSD Current Source Density, Grand Average, Grand Segmentation, ERS/ERD Event-related synchronization and desynchronization, FFT Fast Fourier Transform, FFT Inverse, ICA Independent Component Analysis, Inverse ICA,Butterworth filter, Linear Derivation, LORETA for source analysis, Ocular Correction ICA based on ICA, PCA Principal Component Analysis, Segmentation,Topographic Interpolation, t-Test paired and unpaired t-Tests, Wavelets, Wavelet ExtractionFunctionalBESA Research:Data review and processing for reviewing and processing of your EEG or MEG data. Digital filtering: high, low, and narrow band pass, notch. Interpolation from recorded to virtual and source channels.Automated EOG and EKG artifact detection and correction. Advanced user-defined instantaneous artifact correction. Spectral analysis: FFT, DSA, power and phase mapping. Independent Component Analysis (ICA): Decomposition of EEG/MEG data into ICA components that can be used for artifact correction and as spatial sources in the source analysis window. Connectivity analysis, a unique feature for viewing brain activity, transforms surface signals into brain activity using source montages derived from multiple source models or beamformer imaging. This allows displaying ongoing EEG/MEG, single epochs, and averages with much higher spatial resolution. Source montages and 3D whole-head mapping. ERP analysis and averaging. Source localization and source imaging. Individual MRI and fMRI integration with BESA MRI and BrainVoyager. Source coherence and time-frequency analysis
EEG Data Analysis II | EEG Data Analysis
Perda da Soberania Nacional | Jackson Cionek
Sua Percepção é Sua Realidade - Aprenda a mudar sua Percepção Sua percepção possui 5 variáveis fundamentais:
1 - Conectoma Cerebral;
2 - Nível de atividade de seus 11 sentidos;
3 - Memórias pre-ativadas;
4 - O nível de atenção;
5 - O estímulo apresentado;
Veja os links abaixo:Pós Verdade e a Morte de Deus Original Estado Responsável Laico Democrático e de Direito Deus a Verdade está entre nós - Nunca em nós Religare Politics and Neuroscience Consciousness in First-Person Ser Humano é Ser Racional? Deus Laico Democrático e de Direito Consciência no Corpo, Alma e Espírito sem Vida após a Morte Perda da Soberania Nacional
 | 00:00:00 - 02:54:00 O que é Poda Neuronal?Ferramentas para medir o desenvolvimento infantil e a qualidade no ensino na pré-escola.Vivemos a era da cultura digital. O conhecimento, muitas vezes, é intermediado pela tecnologia da informação e da comunicaçãoImplications of neuroscience in the early years.Exercícios físicos regulares, aumento de atenção e motivação,Habilidades socioemocionais ou competências socioemocionais para lidar com as próprias emoçõesEtapa prelingüistica |
 | 02:54:00 - 06:09:00 MultiRio - Jornada Pedagógica 2/3 - MAR 21 |
 | 06:09:00 - 09:28:00 MultiRio - Jornada Pedagógica 3/3 - MAR 21 |
 | 09:28:00 - 13:05:00 EEG Data AnalysisAnalyzer:Analysis software for EEG ERP P300 N400 research, Video integration, Raw Data Inspection, interactive ICA, FFT, Wavelets, LORETA, MR and CB artifact correction, Integration for eye-tracking data,CSD Current Source Density, Grand Average, Grand Segmentation, ERS/ERD Event-related synchronization and desynchronization, FFT Fast Fourier Transform, FFT Inverse, ICA Independent Component Analysis, Inverse ICA,Butterworth filter, Linear Derivation, LORETA for source analysis, Ocular Correction ICA based on ICA, PCA Principal Component Analysis, Segmentation,Topographic Interpolation, t-Test paired and unpaired t-Tests, Wavelets, Wavelet ExtractionFunctionalBESA Research:Data review and processing for reviewing and processing of your EEG or MEG data. Digital filtering: high, low, and narrow band pass, notch. Interpolation from recorded to virtual and source channels.Automated EOG and EKG artifact detection and correction. Advanced user-defined instantaneous artifact correction. Spectral analysis: FFT, DSA, power and phase mapping. Independent Component Analysis (ICA): Decomposition of EEG/MEG data into ICA components that can be used for artifact correction and as spatial sources in the source analysis window. Connectivity analysis, a unique feature for viewing brain activity, transforms surface signals into brain activity using source montages derived from multiple source models or beamformer imaging. This allows displaying ongoing EEG/MEG, single epochs, and averages with much higher spatial resolution. Source montages and 3D whole-head mapping. ERP analysis and averaging. Source localization and source imaging. Individual MRI and fMRI integration with BESA MRI and BrainVoyager. Source coherence and time-frequency analysis |
 | 13:05:00 - 17:46:00 EEG Data AnalysisAnalyzer:Analysis software for EEG ERP P300 N400 research, Video integration, Raw Data Inspection, interactive ICA, FFT, Wavelets, LORETA, MR and CB artifact correction, Integration for eye-tracking data,CSD Current Source Density, Grand Average, Grand Segmentation, ERS/ERD Event-related synchronization and desynchronization, FFT Fast Fourier Transform, FFT Inverse, ICA Independent Component Analysis, Inverse ICA,Butterworth filter, Linear Derivation, LORETA for source analysis, Ocular Correction ICA based on ICA, PCA Principal Component Analysis, Segmentation,Topographic Interpolation, t-Test paired and unpaired t-Tests, Wavelets, Wavelet ExtractionFunctionalBESA Research:Data review and processing for reviewing and processing of your EEG or MEG data. Digital filtering: high, low, and narrow band pass, notch. Interpolation from recorded to virtual and source channels.Automated EOG and EKG artifact detection and correction. Advanced user-defined instantaneous artifact correction. Spectral analysis: FFT, DSA, power and phase mapping. Independent Component Analysis (ICA): Decomposition of EEG/MEG data into ICA components that can be used for artifact correction and as spatial sources in the source analysis window. Connectivity analysis, a unique feature for viewing brain activity, transforms surface signals into brain activity using source montages derived from multiple source models or beamformer imaging. This allows displaying ongoing EEG/MEG, single epochs, and averages with much higher spatial resolution. Source montages and 3D whole-head mapping. ERP analysis and averaging. Source localization and source imaging. Individual MRI and fMRI integration with BESA MRI and BrainVoyager. Source coherence and time-frequency analysis |
 | 17:46:00 - 23:59:00 Sua Perecepção é Sua Realidade - Aprenda a mudar sua PercepçãoSua percepção possui 5 variáveis fundamentais:1 - Conectoma Cerebral;2 - Nível de atividade de seus 11 sentidos;3 - Memórias pre-ativadas;4 - O nível de atenção;5 - O estímulo apresentado;Veja os links abaixo:Pós Verdade e a Morte de Deus OriginalEstado Responsável Laico Democrático e de DireitoDeus a Verdade está entre nós - Nunca em nósReligare Politics and NeuroscienceConsciousness in First-PersonSer Humano é Ser Racional?Deus Laico Democrático e de DireitoConsciência no Corpo, Alma e Espírito sem Vida após a MortePerda da Soberania Nacional |
