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Brain activity classifies adolescents with and without a familial history of substance use disorders
We aimed to uncover differences in brain circuits of adolescents with parental positive or negative histories of substance use disorders (SUD), when performing a task that elicits emotional conflict, testing whether the brain circuits could serve as endophenotype markers to distinguish these adolesc...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406072/ https://www.ncbi.nlm.nih.gov/pubmed/25954186 http://dx.doi.org/10.3389/fnhum.2015.00219 |
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author | Qiao, Jianping Wang, Zhishun Geronazzo-Alman, Lupo Amsel, Lawrence Duarte, Cristiane Lee, Seonjoo Musa, George Long, Jun He, Xiaofu Doan, Thao Hirsch, Joy Hoven, Christina W. |
author_facet | Qiao, Jianping Wang, Zhishun Geronazzo-Alman, Lupo Amsel, Lawrence Duarte, Cristiane Lee, Seonjoo Musa, George Long, Jun He, Xiaofu Doan, Thao Hirsch, Joy Hoven, Christina W. |
author_sort | Qiao, Jianping |
collection | PubMed |
description | We aimed to uncover differences in brain circuits of adolescents with parental positive or negative histories of substance use disorders (SUD), when performing a task that elicits emotional conflict, testing whether the brain circuits could serve as endophenotype markers to distinguish these adolescents. We acquired functional magnetic resonance imaging data from 11 adolescents with a positive familial history of SUD (FH+ group) and seven adolescents with a negative familial history of SUD (FH− group) when performing an emotional stroop task. We extracted brain features from the conflict-related contrast images in group level analyses and granger causality indices (GCIs) that measure the causal interactions among regions. Support vector machine (SVM) was applied to classify the FH+ and FH− adolescents. Adolescents with FH+ showed greater activity and weaker connectivity related to emotional conflict, decision making and reward system including anterior cingulate cortex (ACC), prefrontal cortex (PFC), and ventral tegmental area (VTA). High classification accuracies were achieved with leave-one-out cross validation (89.75% for the maximum conflict, 96.71% when combining maximum conflict and general conflict contrast, 97.28% when combining activity of the two contrasts and GCIs). Individual contributions of the brain features to the classification were further investigated, indicating that activation in PFC, ACC, VTA and effective connectivity from PFC to ACC play the most important roles. We concluded that fundamental differences of neural substrates underlying cognitive behaviors of adolescents with parental positive or negative histories of SUD provide new insight into potential neurobiological mechanisms contributing to the elevated risk of FH+ individuals for developing SUD. |
format | Online Article Text |
id | pubmed-4406072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-44060722015-05-07 Brain activity classifies adolescents with and without a familial history of substance use disorders Qiao, Jianping Wang, Zhishun Geronazzo-Alman, Lupo Amsel, Lawrence Duarte, Cristiane Lee, Seonjoo Musa, George Long, Jun He, Xiaofu Doan, Thao Hirsch, Joy Hoven, Christina W. Front Hum Neurosci Neuroscience We aimed to uncover differences in brain circuits of adolescents with parental positive or negative histories of substance use disorders (SUD), when performing a task that elicits emotional conflict, testing whether the brain circuits could serve as endophenotype markers to distinguish these adolescents. We acquired functional magnetic resonance imaging data from 11 adolescents with a positive familial history of SUD (FH+ group) and seven adolescents with a negative familial history of SUD (FH− group) when performing an emotional stroop task. We extracted brain features from the conflict-related contrast images in group level analyses and granger causality indices (GCIs) that measure the causal interactions among regions. Support vector machine (SVM) was applied to classify the FH+ and FH− adolescents. Adolescents with FH+ showed greater activity and weaker connectivity related to emotional conflict, decision making and reward system including anterior cingulate cortex (ACC), prefrontal cortex (PFC), and ventral tegmental area (VTA). High classification accuracies were achieved with leave-one-out cross validation (89.75% for the maximum conflict, 96.71% when combining maximum conflict and general conflict contrast, 97.28% when combining activity of the two contrasts and GCIs). Individual contributions of the brain features to the classification were further investigated, indicating that activation in PFC, ACC, VTA and effective connectivity from PFC to ACC play the most important roles. We concluded that fundamental differences of neural substrates underlying cognitive behaviors of adolescents with parental positive or negative histories of SUD provide new insight into potential neurobiological mechanisms contributing to the elevated risk of FH+ individuals for developing SUD. Frontiers Media S.A. 2015-04-22 /pmc/articles/PMC4406072/ /pubmed/25954186 http://dx.doi.org/10.3389/fnhum.2015.00219 Text en Copyright © 2015 Qiao, Wang, Geronazzo-Alman, Amsel, Duarte, Lee, Musa, Long, He, Doan, Hirsch and Hoven. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Qiao, Jianping Wang, Zhishun Geronazzo-Alman, Lupo Amsel, Lawrence Duarte, Cristiane Lee, Seonjoo Musa, George Long, Jun He, Xiaofu Doan, Thao Hirsch, Joy Hoven, Christina W. Brain activity classifies adolescents with and without a familial history of substance use disorders |
title | Brain activity classifies adolescents with and without a familial history of substance use disorders |
title_full | Brain activity classifies adolescents with and without a familial history of substance use disorders |
title_fullStr | Brain activity classifies adolescents with and without a familial history of substance use disorders |
title_full_unstemmed | Brain activity classifies adolescents with and without a familial history of substance use disorders |
title_short | Brain activity classifies adolescents with and without a familial history of substance use disorders |
title_sort | brain activity classifies adolescents with and without a familial history of substance use disorders |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406072/ https://www.ncbi.nlm.nih.gov/pubmed/25954186 http://dx.doi.org/10.3389/fnhum.2015.00219 |
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