Cargando…
Augmentation-related brain plasticity
Today, the anthropomorphism of the tools and the development of neural interfaces require reconsidering the concept of human-tools interaction in the framework of human augmentation. This review analyses the plastic process that the brain undergoes when it comes into contact with augmenting artifici...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4052974/ https://www.ncbi.nlm.nih.gov/pubmed/24966816 http://dx.doi.org/10.3389/fnsys.2014.00109 |
_version_ | 1782320312601280512 |
---|---|
author | Di Pino, Giovanni Maravita, Angelo Zollo, Loredana Guglielmelli, Eugenio Di Lazzaro, Vincenzo |
author_facet | Di Pino, Giovanni Maravita, Angelo Zollo, Loredana Guglielmelli, Eugenio Di Lazzaro, Vincenzo |
author_sort | Di Pino, Giovanni |
collection | PubMed |
description | Today, the anthropomorphism of the tools and the development of neural interfaces require reconsidering the concept of human-tools interaction in the framework of human augmentation. This review analyses the plastic process that the brain undergoes when it comes into contact with augmenting artificial sensors and effectors and, on the other hand, the changes that the use of external augmenting devices produces in the brain. Hitherto, few studies investigated the neural correlates of augmentation, but clues on it can be borrowed from logically-related paradigms: sensorimotor training, cognitive enhancement, cross-modal plasticity, sensorimotor functional substitution, use and embodiment of tools. Augmentation modifies function and structure of a number of areas, i.e., primary sensory cortices shape their receptive fields to become sensitive to novel inputs. Motor areas adapt the neuroprosthesis representation firing-rate to refine kinematics. As for normal motor outputs, the learning process recruits motor and premotor cortices and the acquisition of proficiency decreases attentional recruitment, focuses the activity on sensorimotor areas and increases the basal ganglia drive on the cortex. Augmentation deeply relies on the frontoparietal network. In particular, premotor cortex is involved in learning the control of an external effector and owns the tool motor representation, while the intraparietal sulcus extracts its visual features. In these areas, multisensory integration neurons enlarge their receptive fields to embody supernumerary limbs. For operating an anthropomorphic neuroprosthesis, the mirror system is required to understand the meaning of the action, the cerebellum for the formation of its internal model and the insula for its interoception. In conclusion, anthropomorphic sensorized devices can provide the critical sensory afferences to evolve the exploitation of tools through their embodiment, reshaping the body representation and the sense of the self. |
format | Online Article Text |
id | pubmed-4052974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-40529742014-06-25 Augmentation-related brain plasticity Di Pino, Giovanni Maravita, Angelo Zollo, Loredana Guglielmelli, Eugenio Di Lazzaro, Vincenzo Front Syst Neurosci Neuroscience Today, the anthropomorphism of the tools and the development of neural interfaces require reconsidering the concept of human-tools interaction in the framework of human augmentation. This review analyses the plastic process that the brain undergoes when it comes into contact with augmenting artificial sensors and effectors and, on the other hand, the changes that the use of external augmenting devices produces in the brain. Hitherto, few studies investigated the neural correlates of augmentation, but clues on it can be borrowed from logically-related paradigms: sensorimotor training, cognitive enhancement, cross-modal plasticity, sensorimotor functional substitution, use and embodiment of tools. Augmentation modifies function and structure of a number of areas, i.e., primary sensory cortices shape their receptive fields to become sensitive to novel inputs. Motor areas adapt the neuroprosthesis representation firing-rate to refine kinematics. As for normal motor outputs, the learning process recruits motor and premotor cortices and the acquisition of proficiency decreases attentional recruitment, focuses the activity on sensorimotor areas and increases the basal ganglia drive on the cortex. Augmentation deeply relies on the frontoparietal network. In particular, premotor cortex is involved in learning the control of an external effector and owns the tool motor representation, while the intraparietal sulcus extracts its visual features. In these areas, multisensory integration neurons enlarge their receptive fields to embody supernumerary limbs. For operating an anthropomorphic neuroprosthesis, the mirror system is required to understand the meaning of the action, the cerebellum for the formation of its internal model and the insula for its interoception. In conclusion, anthropomorphic sensorized devices can provide the critical sensory afferences to evolve the exploitation of tools through their embodiment, reshaping the body representation and the sense of the self. Frontiers Media S.A. 2014-06-11 /pmc/articles/PMC4052974/ /pubmed/24966816 http://dx.doi.org/10.3389/fnsys.2014.00109 Text en Copyright © 2014 Di Pino, Maravita, Zollo, Guglielmelli and Di Lazzaro. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Di Pino, Giovanni Maravita, Angelo Zollo, Loredana Guglielmelli, Eugenio Di Lazzaro, Vincenzo Augmentation-related brain plasticity |
title | Augmentation-related brain plasticity |
title_full | Augmentation-related brain plasticity |
title_fullStr | Augmentation-related brain plasticity |
title_full_unstemmed | Augmentation-related brain plasticity |
title_short | Augmentation-related brain plasticity |
title_sort | augmentation-related brain plasticity |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4052974/ https://www.ncbi.nlm.nih.gov/pubmed/24966816 http://dx.doi.org/10.3389/fnsys.2014.00109 |
work_keys_str_mv | AT dipinogiovanni augmentationrelatedbrainplasticity AT maravitaangelo augmentationrelatedbrainplasticity AT zolloloredana augmentationrelatedbrainplasticity AT guglielmellieugenio augmentationrelatedbrainplasticity AT dilazzarovincenzo augmentationrelatedbrainplasticity |