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The Roles of Statistics in Human Neuroscience
Statistics plays three important roles in brain studies. They are (1) the study of differences between brains in distinctive populations; (2) the study of the variability in the structure and functioning of the brain; and (3) the study of data reduction on large-scale brain data. I discuss these con...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721802/ https://www.ncbi.nlm.nih.gov/pubmed/31398878 http://dx.doi.org/10.3390/brainsci9080194 |
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author | Chén, Oliver Y. |
author_facet | Chén, Oliver Y. |
author_sort | Chén, Oliver Y. |
collection | PubMed |
description | Statistics plays three important roles in brain studies. They are (1) the study of differences between brains in distinctive populations; (2) the study of the variability in the structure and functioning of the brain; and (3) the study of data reduction on large-scale brain data. I discuss these concepts using examples from past and ongoing research in brain connectivity, brain information flow, information extraction from large-scale neuroimaging data, and neural predictive modeling. Having dispensed with the past, I attempt to present a few areas where statistical science facilitates brain decoding and to write prospectively, in the light of present knowledge and in the quest for artificial intelligence, about questions that statistical and neurobiological communities could work closely together to address in the future. |
format | Online Article Text |
id | pubmed-6721802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67218022019-09-10 The Roles of Statistics in Human Neuroscience Chén, Oliver Y. Brain Sci Perspective Statistics plays three important roles in brain studies. They are (1) the study of differences between brains in distinctive populations; (2) the study of the variability in the structure and functioning of the brain; and (3) the study of data reduction on large-scale brain data. I discuss these concepts using examples from past and ongoing research in brain connectivity, brain information flow, information extraction from large-scale neuroimaging data, and neural predictive modeling. Having dispensed with the past, I attempt to present a few areas where statistical science facilitates brain decoding and to write prospectively, in the light of present knowledge and in the quest for artificial intelligence, about questions that statistical and neurobiological communities could work closely together to address in the future. MDPI 2019-08-08 /pmc/articles/PMC6721802/ /pubmed/31398878 http://dx.doi.org/10.3390/brainsci9080194 Text en © 2019 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Perspective Chén, Oliver Y. The Roles of Statistics in Human Neuroscience |
title | The Roles of Statistics in Human Neuroscience |
title_full | The Roles of Statistics in Human Neuroscience |
title_fullStr | The Roles of Statistics in Human Neuroscience |
title_full_unstemmed | The Roles of Statistics in Human Neuroscience |
title_short | The Roles of Statistics in Human Neuroscience |
title_sort | roles of statistics in human neuroscience |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721802/ https://www.ncbi.nlm.nih.gov/pubmed/31398878 http://dx.doi.org/10.3390/brainsci9080194 |
work_keys_str_mv | AT chenolivery therolesofstatisticsinhumanneuroscience AT chenolivery rolesofstatisticsinhumanneuroscience |