Cargando…
Functional magnetic resonance imaging data for the association between polygenic risk scores for neuroticism and reward-punishment processing
Neuroticism as a personality trait represents a heritable risk for psychiatric disorders. The polygenic risk score for neuroticism (N-PRS) is used to study genetic vulnerability to neuroticism. The current data present the association of the genetic risk for neuroticism to neural reward-punishment p...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924281/ https://www.ncbi.nlm.nih.gov/pubmed/35310819 http://dx.doi.org/10.1016/j.dib.2022.108014 |
_version_ | 1784669819267710976 |
---|---|
author | Park, Heekyeong Forthman, Katherine L. Kuplicki, Rayus Victor, Teresa A. Yeh, Hung-Wen Thompson, Wesley K. Paulus, Martin P. |
author_facet | Park, Heekyeong Forthman, Katherine L. Kuplicki, Rayus Victor, Teresa A. Yeh, Hung-Wen Thompson, Wesley K. Paulus, Martin P. |
author_sort | Park, Heekyeong |
collection | PubMed |
description | Neuroticism as a personality trait represents a heritable risk for psychiatric disorders. The polygenic risk score for neuroticism (N-PRS) is used to study genetic vulnerability to neuroticism. The current data present the association of the genetic risk for neuroticism to neural reward-punishment processing using functional magnetic resonance imaging. N-PRS was computed based on the individual's genotype information and a genome-wide association study on the UK Biobank data. While individuals performed a monetary incentive delay task, their neural activations for upcoming incentives (reward: gain, punishment: loss) were measured in blood oxygen level dependent (BOLD) signals during the delay phase. Multivariate ANCOVAs were used to analyze BOLD signals for finding the association between N-PRS and reward-punishment processing by the incentive valence (Related research article: H. Park, K.L. Forthman, R. Kuplicki, T.A. Victor, Tulsa 1000 Investigators, H.W. Yeh, W.K. Thompson, M.P. Paulus, Polygenic risk for neuroticism modulates response to gains and losses in the amygdala and caudate: evidence from a clinical cohort. J. Affect. Disord. 293 (2021) 124–132. https://doi.org/10.1016/j.jad.2021.06.016). These data can be used as reference data for future studies examining the role of the genetic propensity for personality traits in the context of psychiatric disorders. |
format | Online Article Text |
id | pubmed-8924281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-89242812022-03-17 Functional magnetic resonance imaging data for the association between polygenic risk scores for neuroticism and reward-punishment processing Park, Heekyeong Forthman, Katherine L. Kuplicki, Rayus Victor, Teresa A. Yeh, Hung-Wen Thompson, Wesley K. Paulus, Martin P. Data Brief Data Article Neuroticism as a personality trait represents a heritable risk for psychiatric disorders. The polygenic risk score for neuroticism (N-PRS) is used to study genetic vulnerability to neuroticism. The current data present the association of the genetic risk for neuroticism to neural reward-punishment processing using functional magnetic resonance imaging. N-PRS was computed based on the individual's genotype information and a genome-wide association study on the UK Biobank data. While individuals performed a monetary incentive delay task, their neural activations for upcoming incentives (reward: gain, punishment: loss) were measured in blood oxygen level dependent (BOLD) signals during the delay phase. Multivariate ANCOVAs were used to analyze BOLD signals for finding the association between N-PRS and reward-punishment processing by the incentive valence (Related research article: H. Park, K.L. Forthman, R. Kuplicki, T.A. Victor, Tulsa 1000 Investigators, H.W. Yeh, W.K. Thompson, M.P. Paulus, Polygenic risk for neuroticism modulates response to gains and losses in the amygdala and caudate: evidence from a clinical cohort. J. Affect. Disord. 293 (2021) 124–132. https://doi.org/10.1016/j.jad.2021.06.016). These data can be used as reference data for future studies examining the role of the genetic propensity for personality traits in the context of psychiatric disorders. Elsevier 2022-03-04 /pmc/articles/PMC8924281/ /pubmed/35310819 http://dx.doi.org/10.1016/j.dib.2022.108014 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Park, Heekyeong Forthman, Katherine L. Kuplicki, Rayus Victor, Teresa A. Yeh, Hung-Wen Thompson, Wesley K. Paulus, Martin P. Functional magnetic resonance imaging data for the association between polygenic risk scores for neuroticism and reward-punishment processing |
title | Functional magnetic resonance imaging data for the association between polygenic risk scores for neuroticism and reward-punishment processing |
title_full | Functional magnetic resonance imaging data for the association between polygenic risk scores for neuroticism and reward-punishment processing |
title_fullStr | Functional magnetic resonance imaging data for the association between polygenic risk scores for neuroticism and reward-punishment processing |
title_full_unstemmed | Functional magnetic resonance imaging data for the association between polygenic risk scores for neuroticism and reward-punishment processing |
title_short | Functional magnetic resonance imaging data for the association between polygenic risk scores for neuroticism and reward-punishment processing |
title_sort | functional magnetic resonance imaging data for the association between polygenic risk scores for neuroticism and reward-punishment processing |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924281/ https://www.ncbi.nlm.nih.gov/pubmed/35310819 http://dx.doi.org/10.1016/j.dib.2022.108014 |
work_keys_str_mv | AT parkheekyeong functionalmagneticresonanceimagingdatafortheassociationbetweenpolygenicriskscoresforneuroticismandrewardpunishmentprocessing AT forthmankatherinel functionalmagneticresonanceimagingdatafortheassociationbetweenpolygenicriskscoresforneuroticismandrewardpunishmentprocessing AT kuplickirayus functionalmagneticresonanceimagingdatafortheassociationbetweenpolygenicriskscoresforneuroticismandrewardpunishmentprocessing AT victorteresaa functionalmagneticresonanceimagingdatafortheassociationbetweenpolygenicriskscoresforneuroticismandrewardpunishmentprocessing AT functionalmagneticresonanceimagingdatafortheassociationbetweenpolygenicriskscoresforneuroticismandrewardpunishmentprocessing AT yehhungwen functionalmagneticresonanceimagingdatafortheassociationbetweenpolygenicriskscoresforneuroticismandrewardpunishmentprocessing AT thompsonwesleyk functionalmagneticresonanceimagingdatafortheassociationbetweenpolygenicriskscoresforneuroticismandrewardpunishmentprocessing AT paulusmartinp functionalmagneticresonanceimagingdatafortheassociationbetweenpolygenicriskscoresforneuroticismandrewardpunishmentprocessing |