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Recent advances in functional neuroimaging analysis for cognitive neuroscience

Functional magnetic resonance imaging and electro-/magneto-encephalography are some of the main neuroimaging technologies used by cognitive neuroscientists to study how the brain works. However, the methods for analysing the rich spatial and temporal data they provide are constantly evolving, and th...

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Detalles Bibliográficos
Autores principales: Williams, Nitin, Henson, Richard N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7119434/
https://www.ncbi.nlm.nih.gov/pubmed/32285010
http://dx.doi.org/10.1177/2398212817752727
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author Williams, Nitin
Henson, Richard N.
author_facet Williams, Nitin
Henson, Richard N.
author_sort Williams, Nitin
collection PubMed
description Functional magnetic resonance imaging and electro-/magneto-encephalography are some of the main neuroimaging technologies used by cognitive neuroscientists to study how the brain works. However, the methods for analysing the rich spatial and temporal data they provide are constantly evolving, and these new methods in turn allow new scientific questions to be asked about the brain. In this brief review, we highlight a handful of recent analysis developments that promise to further advance our knowledge about the working of the brain. These include (1) multivariate approaches to decoding the content of brain activity, (2) time-varying approaches to characterising states of brain connectivity, (3) neurobiological modelling of neuroimaging data, and (4) standardisation and big data initiatives.
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spelling pubmed-71194342020-04-13 Recent advances in functional neuroimaging analysis for cognitive neuroscience Williams, Nitin Henson, Richard N. Brain Neurosci Adv Editorial Functional magnetic resonance imaging and electro-/magneto-encephalography are some of the main neuroimaging technologies used by cognitive neuroscientists to study how the brain works. However, the methods for analysing the rich spatial and temporal data they provide are constantly evolving, and these new methods in turn allow new scientific questions to be asked about the brain. In this brief review, we highlight a handful of recent analysis developments that promise to further advance our knowledge about the working of the brain. These include (1) multivariate approaches to decoding the content of brain activity, (2) time-varying approaches to characterising states of brain connectivity, (3) neurobiological modelling of neuroimaging data, and (4) standardisation and big data initiatives. SAGE Publications 2018-01-19 /pmc/articles/PMC7119434/ /pubmed/32285010 http://dx.doi.org/10.1177/2398212817752727 Text en © The Author(s) 2018 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Editorial
Williams, Nitin
Henson, Richard N.
Recent advances in functional neuroimaging analysis for cognitive neuroscience
title Recent advances in functional neuroimaging analysis for cognitive neuroscience
title_full Recent advances in functional neuroimaging analysis for cognitive neuroscience
title_fullStr Recent advances in functional neuroimaging analysis for cognitive neuroscience
title_full_unstemmed Recent advances in functional neuroimaging analysis for cognitive neuroscience
title_short Recent advances in functional neuroimaging analysis for cognitive neuroscience
title_sort recent advances in functional neuroimaging analysis for cognitive neuroscience
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7119434/
https://www.ncbi.nlm.nih.gov/pubmed/32285010
http://dx.doi.org/10.1177/2398212817752727
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