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Ten simple rules for predictive modeling of individual differences in neuroimaging
Establishing brain-behavior associations that map brain organization to phenotypic measures and generalize to novel individuals remains a challenge in neuroimaging. Predictive modeling approaches that define and validate models with independent datasets offer a solution to this problem. While these...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6521850/ https://www.ncbi.nlm.nih.gov/pubmed/30831310 http://dx.doi.org/10.1016/j.neuroimage.2019.02.057 |
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author | Scheinost, Dustin Noble, Stephanie Horien, Corey Greene, Abigail S. Lake, Evelyn MR. Salehi, Mehraveh Gao, Siyuan Shen, Xilin O’Connor, David Barron, Daniel S. Yip, Sarah W. Rosenberg, Monica D. Constable, R. Todd |
author_facet | Scheinost, Dustin Noble, Stephanie Horien, Corey Greene, Abigail S. Lake, Evelyn MR. Salehi, Mehraveh Gao, Siyuan Shen, Xilin O’Connor, David Barron, Daniel S. Yip, Sarah W. Rosenberg, Monica D. Constable, R. Todd |
author_sort | Scheinost, Dustin |
collection | PubMed |
description | Establishing brain-behavior associations that map brain organization to phenotypic measures and generalize to novel individuals remains a challenge in neuroimaging. Predictive modeling approaches that define and validate models with independent datasets offer a solution to this problem. While these methods can detect novel and generalizable brain-behavior associations, they can be daunting, which has limited their use by the wider connectivity community. Here, we offer practical advice and examples based on functional magnetic resonance imaging (fMRI) functional connectivity data for implementing these approaches. We hope these ten rules will increase the use of predictive models with neuroimaging data. |
format | Online Article Text |
id | pubmed-6521850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-65218502020-06-01 Ten simple rules for predictive modeling of individual differences in neuroimaging Scheinost, Dustin Noble, Stephanie Horien, Corey Greene, Abigail S. Lake, Evelyn MR. Salehi, Mehraveh Gao, Siyuan Shen, Xilin O’Connor, David Barron, Daniel S. Yip, Sarah W. Rosenberg, Monica D. Constable, R. Todd Neuroimage Article Establishing brain-behavior associations that map brain organization to phenotypic measures and generalize to novel individuals remains a challenge in neuroimaging. Predictive modeling approaches that define and validate models with independent datasets offer a solution to this problem. While these methods can detect novel and generalizable brain-behavior associations, they can be daunting, which has limited their use by the wider connectivity community. Here, we offer practical advice and examples based on functional magnetic resonance imaging (fMRI) functional connectivity data for implementing these approaches. We hope these ten rules will increase the use of predictive models with neuroimaging data. 2019-03-01 2019-06 /pmc/articles/PMC6521850/ /pubmed/30831310 http://dx.doi.org/10.1016/j.neuroimage.2019.02.057 Text en This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/). |
spellingShingle | Article Scheinost, Dustin Noble, Stephanie Horien, Corey Greene, Abigail S. Lake, Evelyn MR. Salehi, Mehraveh Gao, Siyuan Shen, Xilin O’Connor, David Barron, Daniel S. Yip, Sarah W. Rosenberg, Monica D. Constable, R. Todd Ten simple rules for predictive modeling of individual differences in neuroimaging |
title | Ten simple rules for predictive modeling of individual differences in neuroimaging |
title_full | Ten simple rules for predictive modeling of individual differences in neuroimaging |
title_fullStr | Ten simple rules for predictive modeling of individual differences in neuroimaging |
title_full_unstemmed | Ten simple rules for predictive modeling of individual differences in neuroimaging |
title_short | Ten simple rules for predictive modeling of individual differences in neuroimaging |
title_sort | ten simple rules for predictive modeling of individual differences in neuroimaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6521850/ https://www.ncbi.nlm.nih.gov/pubmed/30831310 http://dx.doi.org/10.1016/j.neuroimage.2019.02.057 |
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