Traditional measurement of multisensory facilitation in tasks such as speeded motor reaction tasks (MRT) consistently show age-related improvement during early childhood. However, the extent to which motor function increases with age and hence contribute to multisensory motor reaction times in young children has seldom been examined. Thus, we aimed to investigate the contribution of motor development to measures of multisensory (auditory, visual, and audiovisual) and visuomotor processing tasks in three young school age groups of children ( = 69) aged (5-6, = 21; 7-8, = 25.; 9-10 = 18 years). We also aimed to determine whether age-related sensory threshold times for purely visual inspection time (IT) tasks improved significantly with age. Bayesian results showed decisive evidence for age-group differences in multisensory MRT and visuo-motor processing tasks, though the evidence showed that threshold time for visual identification IT performance was only slower in the youngest age group children (5-6) compared to older groups. Bayesian correlations between performance on the multisensory MRT and visuo-motor processing tasks indicated moderate to decisive evidence in favor of the alternative hypothesis (BF = 4.71 to 91.346), though not with the threshold IT (BF < 1.35). This suggests that visual sensory system development in children older than 6 years makes a less significant contribution to the measure of multisensory facilitation, compared to motor development. In addition to this main finding, multisensory facilitation of MRT within race-model predictions was only found in the oldest group of children (9-10), supporting previous suggestions that multisensory integration is likely to continue into late childhood/early adolescence at least.
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http://dx.doi.org/10.3389/fnhum.2022.967081 | DOI Listing |
Children (Basel)
December 2024
Department of Integrative Health Sciences, Faculty of Health Sciences, University of Debrecen, 4400 Nyíregyháza, Hungary.
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View Article and Find Full Text PDFNeuroimage
December 2024
Institute of Population Health, University of Liverpool, United Kingdom; Hanse Wissenschaftskolleg, Delmenhorst, Germany. Electronic address:
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View Article and Find Full Text PDFIntegr Psychol Behav Sci
December 2024
Universidad del Desarrollo, Santiago de Chile, Chile.
Exploring the nuanced and often elusive realm of pre-reflective consciousness presents a methodological challenge, as it involves capturing experiences that arise prior to reflective thought and language. This article introduces Phenomenological Mapping, an innovative research method designed to systematically study the pre-reflective dimensions of human experience. Grounded in the foundational theories of Edmund Husserl (2012), Maurice Merleau-Ponty (2013), and Martin Heidegger (1992, 2008), the approach also integrates contemporary perspectives from Dan Zahavi (1999, Contemporary Phenomenology and Qualitative Research 5(1), 1-17, 2021), Shaun Gallagher (2006, 2017), and Evan Thompson (2010, 2017).
View Article and Find Full Text PDFCogn Neurodyn
December 2024
School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072 China.
The integration and interaction of cross-modal senses in brain neural networks can facilitate high-level cognitive functionalities. In this work, we proposed a bioinspired multisensory integration neural network (MINN) that integrates visual and audio senses for recognizing multimodal information across different sensory modalities. This deep learning-based model incorporates a cascading framework of parallel convolutional neural networks (CNNs) for extracting intrinsic features from visual and audio inputs, and a recurrent neural network (RNN) for multimodal information integration and interaction.
View Article and Find Full Text PDFSmall
December 2024
School of Materials Science &Engineering, Tongji University, Shanghai, 201804, P. R. China.
Hydrogel-based flexible electronic components have become the optimal solution to address the rigidity problem of traditional electronics in health management. In this study, a multipurpose hydrogel is introduced, which is formed by combining a dual-network consisting of physical (chitosan, polyvinyl alcohol (PVA)) and chemical (poly(isopropyl acrylamide (NIPAM)-co-acrylamide (AM))) cross-linking, along with signal conversion fillers (eutectic gallium indium (EGaIn), TiC MXene, polyaniline (PANI)) for responding to external stimuli. Multiple sensing of dynamic and static signals is permissible for it.
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