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Changes in global functional network properties predict individual differences in habit formation
Prior evidence suggests that sensorimotor regions play a crucial role in habit formation. Yet, whether and how their global functional network properties might contribute to a more comprehensive characterization of habit formation still remains unclear. Capitalizing on advances in Elastic Net regres...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921330/ https://www.ncbi.nlm.nih.gov/pubmed/36413054 http://dx.doi.org/10.1002/hbm.26158 |
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author | Wang, Xiaoyu Zwosta, Katharina Wolfensteller, Uta Ruge, Hannes |
author_facet | Wang, Xiaoyu Zwosta, Katharina Wolfensteller, Uta Ruge, Hannes |
author_sort | Wang, Xiaoyu |
collection | PubMed |
description | Prior evidence suggests that sensorimotor regions play a crucial role in habit formation. Yet, whether and how their global functional network properties might contribute to a more comprehensive characterization of habit formation still remains unclear. Capitalizing on advances in Elastic Net regression and predictive modeling, we examined whether learning‐related functional connectivity alterations distributed across the whole brain could predict individual habit strength. Using the leave‐one‐subject‐out cross‐validation strategy, we found that the habit strength score of the novel unseen subjects could be successfully predicted. We further characterized the contribution of both, individual large‐scale networks and individual brain regions by calculating their predictive weights. This highlighted the pivotal role of functional connectivity changes involving the sensorimotor network and the cingulo–opercular network in subject‐specific habit strength prediction. These results contribute to the understanding the neural basis of human habit formation by demonstrating the importance of global functional network properties especially also for predicting the observable behavioral expression of habits. |
format | Online Article Text |
id | pubmed-9921330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99213302023-02-13 Changes in global functional network properties predict individual differences in habit formation Wang, Xiaoyu Zwosta, Katharina Wolfensteller, Uta Ruge, Hannes Hum Brain Mapp Research Articles Prior evidence suggests that sensorimotor regions play a crucial role in habit formation. Yet, whether and how their global functional network properties might contribute to a more comprehensive characterization of habit formation still remains unclear. Capitalizing on advances in Elastic Net regression and predictive modeling, we examined whether learning‐related functional connectivity alterations distributed across the whole brain could predict individual habit strength. Using the leave‐one‐subject‐out cross‐validation strategy, we found that the habit strength score of the novel unseen subjects could be successfully predicted. We further characterized the contribution of both, individual large‐scale networks and individual brain regions by calculating their predictive weights. This highlighted the pivotal role of functional connectivity changes involving the sensorimotor network and the cingulo–opercular network in subject‐specific habit strength prediction. These results contribute to the understanding the neural basis of human habit formation by demonstrating the importance of global functional network properties especially also for predicting the observable behavioral expression of habits. John Wiley & Sons, Inc. 2022-11-22 /pmc/articles/PMC9921330/ /pubmed/36413054 http://dx.doi.org/10.1002/hbm.26158 Text en © 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Wang, Xiaoyu Zwosta, Katharina Wolfensteller, Uta Ruge, Hannes Changes in global functional network properties predict individual differences in habit formation |
title | Changes in global functional network properties predict individual differences in habit formation |
title_full | Changes in global functional network properties predict individual differences in habit formation |
title_fullStr | Changes in global functional network properties predict individual differences in habit formation |
title_full_unstemmed | Changes in global functional network properties predict individual differences in habit formation |
title_short | Changes in global functional network properties predict individual differences in habit formation |
title_sort | changes in global functional network properties predict individual differences in habit formation |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921330/ https://www.ncbi.nlm.nih.gov/pubmed/36413054 http://dx.doi.org/10.1002/hbm.26158 |
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