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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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Autor principal: Chén, Oliver Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
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.
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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.
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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
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