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The age of violence: Mapping brain age in psychosis and psychopathy

Young chronological age is one of the strongest predictors for antisocial behaviour in the general population and for violent offending in individuals with psychotic disorders. An individual's age can be predicted with high accuracy using neuroimaging and machine-learning. The deviation between...

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Autores principales: Tesli, Natalia, Bell, Christina, Hjell, Gabriela, Fischer-Vieler, Thomas, I Maximov, Ivan, Richard, Genevieve, Tesli, Martin, Melle, Ingrid, Andreassen, Ole A, Agartz, Ingrid, Westlye, Lars T, Friestad, Christine, Haukvik, Unn K, Rokicki, Jaroslav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474919/
https://www.ncbi.nlm.nih.gov/pubmed/36088844
http://dx.doi.org/10.1016/j.nicl.2022.103181
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author Tesli, Natalia
Bell, Christina
Hjell, Gabriela
Fischer-Vieler, Thomas
I Maximov, Ivan
Richard, Genevieve
Tesli, Martin
Melle, Ingrid
Andreassen, Ole A
Agartz, Ingrid
Westlye, Lars T
Friestad, Christine
Haukvik, Unn K
Rokicki, Jaroslav
author_facet Tesli, Natalia
Bell, Christina
Hjell, Gabriela
Fischer-Vieler, Thomas
I Maximov, Ivan
Richard, Genevieve
Tesli, Martin
Melle, Ingrid
Andreassen, Ole A
Agartz, Ingrid
Westlye, Lars T
Friestad, Christine
Haukvik, Unn K
Rokicki, Jaroslav
author_sort Tesli, Natalia
collection PubMed
description Young chronological age is one of the strongest predictors for antisocial behaviour in the general population and for violent offending in individuals with psychotic disorders. An individual's age can be predicted with high accuracy using neuroimaging and machine-learning. The deviation between predicted and chronological age, i.e., brain age gap (BAG) has been suggested to reflect brain health, likely relating partly to neurodevelopmental and aging-related processes and specific disease mechanisms. Higher BAG has been demonstrated in patients with psychotic disorders. However, little is known about the brain-age in violent offenders with psychosis and the possible associations with psychopathy traits. We estimated brain-age in 782 male individuals using T1-weighted MRI scans. Three machine learning models (random forest, extreme gradient boosting with and without hyper parameter tuning) were first trained and tested on healthy controls (HC, n = 586). The obtained BAGs were compared between HC and age matched violent offenders with psychosis (PSY-V, n = 38), violent offenders without psychosis (NPV, n = 20) and non-violent psychosis patients (PSY-NV, n = 138). We ran additional comparisons between BAG of PSY-V and PSY-NV and associations with Positive and Negative Syndrome Scale (PANSS) total score as a measure of psychosis symptoms. Psychopathy traits in the violence groups were assessed with Psychopathy Checklist-revised (PCL-R) and investigated for associations with BAG. We found significantly higher BAG in PSY-V compared with HC (4.9 years, Cohen's d = 0.87) and in PSY-NV compared with HC (2.7 years, d = 0.41). Total PCL-R scores were negatively associated with BAG in the violence groups (d = 1.17, p < 0.05). Additionally, there was a positive association between psychosis symptoms and BAG in the psychosis groups (d = 1.12, p < 0.05). While the significant BAG differences related to psychosis and not violence suggest larger BAG for psychosis, the negative associations between BAG and psychopathy suggest a complex interplay with psychopathy traits. This proof-of-concept application of brain age prediction in severe mental disorders with a history of violence and psychopathy traits should be tested and replicated in larger samples.
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spelling pubmed-94749192022-09-16 The age of violence: Mapping brain age in psychosis and psychopathy Tesli, Natalia Bell, Christina Hjell, Gabriela Fischer-Vieler, Thomas I Maximov, Ivan Richard, Genevieve Tesli, Martin Melle, Ingrid Andreassen, Ole A Agartz, Ingrid Westlye, Lars T Friestad, Christine Haukvik, Unn K Rokicki, Jaroslav Neuroimage Clin Regular Article Young chronological age is one of the strongest predictors for antisocial behaviour in the general population and for violent offending in individuals with psychotic disorders. An individual's age can be predicted with high accuracy using neuroimaging and machine-learning. The deviation between predicted and chronological age, i.e., brain age gap (BAG) has been suggested to reflect brain health, likely relating partly to neurodevelopmental and aging-related processes and specific disease mechanisms. Higher BAG has been demonstrated in patients with psychotic disorders. However, little is known about the brain-age in violent offenders with psychosis and the possible associations with psychopathy traits. We estimated brain-age in 782 male individuals using T1-weighted MRI scans. Three machine learning models (random forest, extreme gradient boosting with and without hyper parameter tuning) were first trained and tested on healthy controls (HC, n = 586). The obtained BAGs were compared between HC and age matched violent offenders with psychosis (PSY-V, n = 38), violent offenders without psychosis (NPV, n = 20) and non-violent psychosis patients (PSY-NV, n = 138). We ran additional comparisons between BAG of PSY-V and PSY-NV and associations with Positive and Negative Syndrome Scale (PANSS) total score as a measure of psychosis symptoms. Psychopathy traits in the violence groups were assessed with Psychopathy Checklist-revised (PCL-R) and investigated for associations with BAG. We found significantly higher BAG in PSY-V compared with HC (4.9 years, Cohen's d = 0.87) and in PSY-NV compared with HC (2.7 years, d = 0.41). Total PCL-R scores were negatively associated with BAG in the violence groups (d = 1.17, p < 0.05). Additionally, there was a positive association between psychosis symptoms and BAG in the psychosis groups (d = 1.12, p < 0.05). While the significant BAG differences related to psychosis and not violence suggest larger BAG for psychosis, the negative associations between BAG and psychopathy suggest a complex interplay with psychopathy traits. This proof-of-concept application of brain age prediction in severe mental disorders with a history of violence and psychopathy traits should be tested and replicated in larger samples. Elsevier 2022-09-06 /pmc/articles/PMC9474919/ /pubmed/36088844 http://dx.doi.org/10.1016/j.nicl.2022.103181 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
Tesli, Natalia
Bell, Christina
Hjell, Gabriela
Fischer-Vieler, Thomas
I Maximov, Ivan
Richard, Genevieve
Tesli, Martin
Melle, Ingrid
Andreassen, Ole A
Agartz, Ingrid
Westlye, Lars T
Friestad, Christine
Haukvik, Unn K
Rokicki, Jaroslav
The age of violence: Mapping brain age in psychosis and psychopathy
title The age of violence: Mapping brain age in psychosis and psychopathy
title_full The age of violence: Mapping brain age in psychosis and psychopathy
title_fullStr The age of violence: Mapping brain age in psychosis and psychopathy
title_full_unstemmed The age of violence: Mapping brain age in psychosis and psychopathy
title_short The age of violence: Mapping brain age in psychosis and psychopathy
title_sort age of violence: mapping brain age in psychosis and psychopathy
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474919/
https://www.ncbi.nlm.nih.gov/pubmed/36088844
http://dx.doi.org/10.1016/j.nicl.2022.103181
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