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The Year in Cognitive Neuroscience
Modern neurostimulation approaches in humans provide controlled inputs into the operations of cortical regions, with highly specific behavioral consequences. This enables causal structure–function inferences, and in combination with neuroimaging, has provided novel insights into the basic mechanisms...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3760762/ https://www.ncbi.nlm.nih.gov/pubmed/23631540 http://dx.doi.org/10.1111/nyas.12110 |
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author | Bestmann, Sven Feredoes, Eva |
author_facet | Bestmann, Sven Feredoes, Eva |
author_sort | Bestmann, Sven |
collection | PubMed |
description | Modern neurostimulation approaches in humans provide controlled inputs into the operations of cortical regions, with highly specific behavioral consequences. This enables causal structure–function inferences, and in combination with neuroimaging, has provided novel insights into the basic mechanisms of action of neurostimulation on distributed networks. For example, more recent work has established the capacity of transcranial magnetic stimulation (TMS) to probe causal interregional influences, and their interaction with cognitive state changes. Combinations of neurostimulation and neuroimaging now face the challenge of integrating the known physiological effects of neurostimulation with theoretical and biological models of cognition, for example, when theoretical stalemates between opposing cognitive theories need to be resolved. This will be driven by novel developments, including biologically informed computational network analyses for predicting the impact of neurostimulation on brain networks, as well as novel neuroimaging and neurostimulation techniques. Such future developments may offer an expanded set of tools with which to investigate structure–function relationships, and to formulate and reconceptualize testable hypotheses about complex neural network interactions and their causal roles in cognition. |
format | Online Article Text |
id | pubmed-3760762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-37607622013-09-03 The Year in Cognitive Neuroscience Bestmann, Sven Feredoes, Eva Ann N Y Acad Sci Original Articles Modern neurostimulation approaches in humans provide controlled inputs into the operations of cortical regions, with highly specific behavioral consequences. This enables causal structure–function inferences, and in combination with neuroimaging, has provided novel insights into the basic mechanisms of action of neurostimulation on distributed networks. For example, more recent work has established the capacity of transcranial magnetic stimulation (TMS) to probe causal interregional influences, and their interaction with cognitive state changes. Combinations of neurostimulation and neuroimaging now face the challenge of integrating the known physiological effects of neurostimulation with theoretical and biological models of cognition, for example, when theoretical stalemates between opposing cognitive theories need to be resolved. This will be driven by novel developments, including biologically informed computational network analyses for predicting the impact of neurostimulation on brain networks, as well as novel neuroimaging and neurostimulation techniques. Such future developments may offer an expanded set of tools with which to investigate structure–function relationships, and to formulate and reconceptualize testable hypotheses about complex neural network interactions and their causal roles in cognition. Blackwell Publishing Ltd 2013-08 2013-04-30 /pmc/articles/PMC3760762/ /pubmed/23631540 http://dx.doi.org/10.1111/nyas.12110 Text en © 2013 The New York Academy of Sciences http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Bestmann, Sven Feredoes, Eva The Year in Cognitive Neuroscience |
title | The Year in Cognitive Neuroscience |
title_full | The Year in Cognitive Neuroscience |
title_fullStr | The Year in Cognitive Neuroscience |
title_full_unstemmed | The Year in Cognitive Neuroscience |
title_short | The Year in Cognitive Neuroscience |
title_sort | year in cognitive neuroscience |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3760762/ https://www.ncbi.nlm.nih.gov/pubmed/23631540 http://dx.doi.org/10.1111/nyas.12110 |
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