A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
Autor: | Jesus G. Cruz-Garza, Berdakh Abibullaev, Zachery R. Hernandez, Teresa Tse, Eunice Caducoy, Jose L. Contreras-Vidal |
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Rok vydání: | 2015 |
Předmět: |
Male
Brain activity and meditation Movement brain General Chemical Engineering neural signal processing Context (language use) Electroencephalography Multimodal Imaging 050105 experimental psychology General Biochemistry Genetics and Molecular Biology imitation 03 medical and health sciences 0302 clinical medicine Cognition neural classification Human–computer interaction developmental psychology medicine Humans 0501 psychology and cognitive sciences Interpersonal Relations EEG Set (psychology) Child Social Behavior Behavior medicine.diagnostic_test Artificial neural network General Immunology and Microbiology business.industry General Neuroscience 05 social sciences Infant neural decoding mobile brain imaging Action (philosophy) inertial measurement units Issue 104 Female business Neuroscience 030217 neurology & neurosurgery Neural decoding |
Zdroj: | Journal of Visualized Experiments : JoVE |
ISSN: | 1940-087X |
DOI: | 10.3791/53406-v |
Popis: | Understanding typical and atypical development remains one of the fundamental questions in developmental human neuroscience. Traditionally, experimental paradigms and analysis tools have been limited to constrained laboratory tasks and contexts due to technical limitations imposed by the available set of measuring and analysis techniques and the age of the subjects. These limitations severely limit the study of developmental neural dynamics and associated neural networks engaged in cognition, perception and action in infants performing “in action and in context”. This protocol presents a novel approach to study infants and young children as they freely organize their own behavior, and its consequences in a complex, partly unpredictable and highly dynamic environment. The proposed methodology integrates synchronized high-density active scalp electroencephalography (EEG), inertial measurement units (IMUs), video recording and behavioral analysis to capture brain activity and movement non-invasively in freely-behaving infants. This setup allows for the study of neural network dynamics in the developing brain, in action and context, as these networks are recruited during goal-oriented, exploration and social interaction tasks. |
Databáze: | OpenAIRE |
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