Aplicación de las neurotecnologías a la cognición y el comportamiento social
Barra lateral del artículo
Contenido principal del artículo
Resumen
En esta revisión se propone realizar una exploración sobre las neurotecnologías que se han desarrollado o que están en curso de desarrollo en seres humanos, en el marco de las neurociencias cognitivas, sociales y afectivas para conocer, analizar e influir sobre las regiones del cerebro involucradas en la cognición y el comportamiento social, como los simuladores de modelos neuronales, las tecnologías para analizar la actividad cerebral, el desarrollo de drogas y tecnología para el diagnóstico de patologías que afectan el funcionamiento del cerebro; neurotecnologías que permiten influir y manipular la actividad cerebral, así como los hardware y software para estudiar el cerebro.
Descargas
Detalles del artículo
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Métricas
Citas
Andersen, S. M., Chen, S. y Carter, C. (2000). “Fundamental human needs: Making social cognition relevant”. Psychological Inquiry, 11(4), 269-275.
Babiloni, F. y Astolfi, L. (2014). “Social neuroscience and hyperscanning techniques: past, present and future”. Neuroscience & Biobehavioral Reviews, 44, 76-93.
Bland, A. R., Roiser, J. P., Mehta, M. A., Schei, T., Boland, H., Campbell-Meiklejohn, D. K. y Elliott, R. (2016). “EMOTICOM: a neuropsychological test battery to evaluate emotion, motivation, impulsivity, and social cognition”. Frontiers in Behavioral Neuroscience, 10, 25.
Borbón, D. y Muñoz, J. M. (2023). “Equal access to mental augmentation: Should it be a fundamental right?”. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation.
Brewer, M. B. y Caporael, L. R. (2006). “An evolutionary perspective on social identity: Revisiting groups”. Evolution and Social Psychology, 143, 161.
Bzdok, D. y Dunbar, R. I. (2022). “Social isolation and the brain in the pandemic Era”. Nature Human Behaviour, 6(10), 1333-1343.
Chan, D. K. C., Zhang, L., Lee, A. S. Y. y Hagger, M. S. (2020). “Reciprocal relations between autonomous motivation from self-determination theory and social cognition constructs from the theory of planned behavior: A cross-lagged panel design in sport injury prevention”. Psychology of Sport and Exercise, 48, 101660.
Chen, W. J. y Lin, Y. P. (2023). “Event-Related Potential-Based Collaborative Brain-Computer Interface for Augmenting Human Performance Using a Low-Cost, Custom Electroencephalogram Hyperscanning Infrastructure”. IEEE Transactions on Cognitive and Developmental Systems. Doi: 10.1109/TCDS.2023.3245048
Cinel, C., Valeriani, D. y Poli, R. (2019). “Neurotechnologies for human cognitive augmentation: current state of the art and future prospects”. Frontiers in Human Neuroscience, 13, 13.
Conner, M. y Norman, P. (2015). Predicting and changing health behaviour: research and practice with social cognition models. 3rd. Edition. McGraw-hill education (UK).
Cotter, J., Granger, K., Backx, R., Hobbs, M., Looi, C. Y. y Barnett, J. H. (2018). Social cognitive dysfunction as a clinical marker: A systematic review of meta-analyses across 30 clinical conditions. Neuroscience & Biobehavioral Reviews, 84, 92-99.
Dovidio, J. F., Piliavin, J. A., Schroeder, D. A. y Penner, L. A. (2017). The Social Psychology of Prosocial Behavior. NY: Psychology Press.
Eckstein, M. P., Das, K., Pham, B. T., Peterson, M. F., Abbey, C. K., Sy, J. L. y Giesbrecht, B. (2012). “Neural decoding of collective wisdom with multi-brain computing”. NeuroImage, 59(1), 94-108.
Farah, M. J. (2015). “The unknowns of cognitive enhancement”. Science, 350(6259), 379-380.
Farahany, N. A., Greely, H. T., Hyman, S., Koch, C., Grady, C., Pașca, S. P. Y Song, H. (2018). “The ethics of experimenting with human brain tissue”. Nature 556, 429-432. Doi: https://doi.org/10.1038/d41586-018-04813-x
FeldmanHall, O. y Shenhav, A. (2019). “Resolving uncertainty in a social world”. Nature Human Behaviour, 3(5), 426-435.
Gao, X., Wang, Y., Chen, X. y Gao, S. (2021). “Interface, interaction, and intelligence in generalized brain–computer interfaces”. Trends in Cognitive Sciences, 25(8), 671-684.
Graf, W. D., Nagel, S. K., Epstein, L. G., Miller, G., Nass, R. y Larriviere, D. (2013). Pediatric neuroenhancement: ethical, legal, social, and neurodevelopmental implications. Neurology, 80(13), 1251-1260.
Güroğlu, B. y Veenstra, R. (2021). “Neural underpinnings of peer experiences and interactions: A review of social neuroscience research”. Merrill-Palmer Quarterly, 67(4), 416-456.
Hui, B. P., Ng, J. C., Berzaghi, E., Cunningham-Amos, L. A. y Kogan, A. (2020). “Rewards of kindness? A meta-analysis of the link between prosociality and well-being”. Psychological Bulletin, 146(12), 1084.
Ienca, M. y Andorno, R. (2017). “Towards new human rights in the age of neuroscience and neurotechnology. “Life Sciences, Society and Policy”, 13(1), 1-27.
Jiang, L., Stocco, A., Losey, D. M., Abernethy, J. A., Prat, C. S. y Rao, R. P. (2019). “BrainNet: a multi-person brain-to-brain interface for direct collaboration between brains”. Scientific Reports, 9(1), 6115.
Kekäläinen, T., Tammelin, T. H., Hagger, M. S., Lintunen, T., Hyvärinen, M., Kujala, U. M. y Kokko, K. (2022). “Personality, motivational, and social cognition predictors of leisure-time physical activity”. Psychology of Sport and Exercise, 60, 102135.
Kelsen, B. A., Sumich, A., Kasabov, N., Liang, S. H. y Wang, G. Y. (2022). “What has social neuroscience learned from hyperscanning studies of spoken communication? A systematic review”. Neuroscience & Biobehavioral Reviews, 132, 1249-1262.
Lasko, E. N., Dagher, A. C., West, S. J. y Chester, D. S. (2022). “Neural mechanisms of intergroup exclusion and retaliatory aggression”. Social Neuroscience, 17(4), 339-351.
Liu, D., Liu, S., Liu, X., Zhang, C., Li, A., Jin, C. y Zhang, X. (2018). “Interactive brain activity: review and progress on eeg-based hyperscanning in social interactions”. Frontiers in psychology, 9, 1862.
Lynch, Z. (2004). “Neurotechnology and society (2010–2060). Annals of the New York Academy of Sciences”, 1013(1), 229-233.
Meenan, S. y Lindsay, R. (2002). “Planning and the neurotechnology of social behaviour”. International Journal of Cognition and Technology, 1(2), 233-274.
Misaki, M., Kerr, K. L., Ratliff, E. L., Cosgrove, K. T., Simmons, W. K., Morris, A. S. y Bodurka, J. (2021). “Beyond synchrony: the capacity of fMRI hyperscanning for the study of human social interaction”. Social Cognitive and Affective Neuroscience, 16(1-2), 84-92.
Montague, P. R., Berns, G. S., Cohen, J. D., McClure, S. M., Pagnoni, G., Dhamala, M., y Fisher, R. E. (2002). “Hyperscanning: simultaneous fmri during linked social interactions”. Neuroimage, 16(4), 1159-1164.
Moreno-Duarte, I., Gebodh, N., Schestatsky, P., Guleyupoglu, B., Reato, D., Bikson, M. y Fregni, F. (2014). “Transcranial electrical stimulation: Transcranial direct current stimulation (tdcs), transcranial alternating current stimulation (TACS), transcranial pulsed current stimulation (TPCS), and transcranial random noise stimulation (trns)”. The Stimulated Brain (pp. 35-59). Academic Press.
Nair, A. R y Chang, S. W. (2022). “Social neuroscience: Staying bonded over oxytocin and endocannabinoids”. Current Biology, 32(5), R228-R231.
Ochsner, K. N. y Lieberman, M. D. (2001). “The emergence of social cognitive neuroscience”. American Psychologist, 56(9), 717.
Padilla-Coreano, N., Tye, K. M. y Zelikowsky, M. (2022). “Dynamic influences on the neural encoding of social valence”. Nature Reviews Neuroscience, 23(9), 535-550.
Pedro, A. V. (2012). “Coping with Brain Disorders using Neurotechnology”. The Malaysian Journal of Medical Sciences: mjms, 19(1), 1-3.
Pfeiffer, U. J., Timmermans, B., Vogeley, K., Frith, C. D. y Schilbach, L. (2013). “Towards a neuroscience of social interaction”. Frontiers in Human Neuroscience, 7, 22.
Rao, R. P. (2013). Brain-computer Interfacing: an Introduction. Cambridge University Press.
Rao, R. P., Stocco, A., Bryan, M., Sarma, D., Youngquist, T. M., Wu, J., y Prat, C. S. (2014). “A direct brain-to-brain interface in humans”. PloS one, 9(11), e111332.
Ren, D., Stavrova, O. y Loh, W. W. (2022). “Nonlinear effect of social interaction quantity on psychological well-being: Diminishing returns or inverted U?”. Journal of Personality and Social Psychology, 122(6), 1056. Roelfsema, P. R., Denys, D. y Klink, P. C. (2018). “Mind Reading and Writing: The Future of Neurotechnology”. Trends in Cognitive Sciences, 22(7), 598-610.
Ryan, R. M., Huta, V., y Deci, E. L. (2008). “Living well: A self-determination theory perspective on eudaimonia”. Journal of Happiness Studies, 9, 139-170.
Ryan, R. M., y Deci, E. L. (2013). “Toward a Social Psychology of Assimilation: Self-Determination Theory in Cognitive”. Self-regulation and Autonomy: Social and Developmental Dimensions of Human Conduct, 40, 191.
Salvatore, C., Valeriani, D., Piccialli, V. y Bianchi, L. (2022). “Optimized Collaborative Brain-Computer Interfaces for Enhancing Face Recognition”. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 1223-1232.
Song, X., Zeng, Y., Tong, L., Shu, J., Yang, Q., Kou, J. y Yan, B. (2022). “A collaborative brain-computer interface framework for enhancing group detection performance of dynamic visual targets”. Computational Intelligence and Neuroscience, 2022.
Sjølie, E., Espenes, T. C. y Buø, R. (2022). “Social interaction and agency in self-organizing student teams during their transition from face-to-face to online learning”. Computers & Education, 189, 104580.
Tomasello, M. (2009). Why We Cooperate. Cambridge: MIT Press.
Valeriani, D., Cinel, C. y Poli, R. (2019). “Brain–computer interfaces for human augmentation”. Brain Sciences, 9(2), 22.
Weekes, T. y Eskridge, T. (2022). “Design Thinking the Human-ai Experience of Neurotechnology for Knowledge Workers”. In International Conference on Human-Computer Interaction (pp. 527-545). Cham: Springer Nature Switzerland.
Wang, Y. y Jung, T. P. (2011). “A collaborative brain-computer interface for improving human performance”. PloS one, 6(5), e20422.
Weinstein, N. y Ryan, R. M. (2010). “When helping helps: autonomous motivation for prosocial behavior and its influence on well-being for the helper and recipient”. Journal of Personality and Social Psychology, 98(2), 222. Wu, Z. y Su, Y. (2014).“How do preschoolers’ sharing behaviors relate to their theory of mind understanding? ”. Journal of Experimental Child Psychology, 120, 73-86.
Yoo, S. S., Kim, H., Filandrianos, E., Taghados, S. J. y Park, S. (2013). “Non-invasive brain-to-brain interface (bbi): establishing functional links between two brains”. PloS one, 8(4), e60410.
Yeshurun, Y., Nguyen, M. y Hasson, U. (2021). “The default mode network: where the idiosyncratic self meets the shared social world”. Nature Reviews Neuroscience, 22(3), 181-192.