Cargando…

Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth

Irritability cuts across many pediatric disorders and is a common presenting complaint in child psychiatry; however, its neural mechanisms remain unclear. One core pathophysiological deficit of irritability is aberrant responses to frustrative nonreward. Here, we conducted a preliminary fMRI study t...

Descripción completa

Detalles Bibliográficos
Autores principales: Scheinost, Dustin, Dadashkarimi, Javid, Finn, Emily S., Wambach, Caroline G., MacGillivray, Caroline, Roule, Alexandra L., Niendam, Tara A., Pine, Daniel S., Brotman, Melissa A., Leibenluft, Ellen, Tseng, Wan-Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8134471/
https://www.ncbi.nlm.nih.gov/pubmed/33479511
http://dx.doi.org/10.1038/s41386-020-00954-8
_version_ 1783695183006662656
author Scheinost, Dustin
Dadashkarimi, Javid
Finn, Emily S.
Wambach, Caroline G.
MacGillivray, Caroline
Roule, Alexandra L.
Niendam, Tara A.
Pine, Daniel S.
Brotman, Melissa A.
Leibenluft, Ellen
Tseng, Wan-Ling
author_facet Scheinost, Dustin
Dadashkarimi, Javid
Finn, Emily S.
Wambach, Caroline G.
MacGillivray, Caroline
Roule, Alexandra L.
Niendam, Tara A.
Pine, Daniel S.
Brotman, Melissa A.
Leibenluft, Ellen
Tseng, Wan-Ling
author_sort Scheinost, Dustin
collection PubMed
description Irritability cuts across many pediatric disorders and is a common presenting complaint in child psychiatry; however, its neural mechanisms remain unclear. One core pathophysiological deficit of irritability is aberrant responses to frustrative nonreward. Here, we conducted a preliminary fMRI study to examine the ability of functional connectivity during frustrative nonreward to predict irritability in a transdiagnostic sample. This study included 69 youths (mean age = 14.55 years) with varying levels of irritability across diagnostic groups: disruptive mood dysregulation disorder (n = 20), attention-deficit/hyperactivity disorder (n = 14), anxiety disorder (n = 12), and controls (n = 23). During fMRI, participants completed a frustrating cognitive flexibility task. Frustration was evoked by manipulating task difficulty such that, on trials requiring cognitive flexibility, “frustration” blocks had a 50% error rate and some rigged feedback, while “nonfrustration” blocks had a 10% error rate. Frustration and nonfrustration blocks were randomly interspersed. Child and parent reports of the affective reactivity index were used as dimensional measures of irritability. Connectome-based predictive modeling, a machine learning approach, with tenfold cross-validation was conducted to identify networks predicting irritability. Connectivity during frustration (but not nonfrustration) blocks predicted child-reported irritability (ρ = 0.24, root mean square error = 2.02, p = 0.03, permutation testing, 1000 iterations, one-tailed). Results were adjusted for age, sex, medications, motion, ADHD, and anxiety symptoms. The predictive networks of irritability were primarily within motor-sensory networks; among motor-sensory, subcortical, and salience networks; and between these networks and frontoparietal and medial frontal networks. This study provides preliminary evidence that individual differences in irritability may be associated with functional connectivity during frustration, a phenotype-relevant state.
format Online
Article
Text
id pubmed-8134471
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-81344712021-05-24 Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth Scheinost, Dustin Dadashkarimi, Javid Finn, Emily S. Wambach, Caroline G. MacGillivray, Caroline Roule, Alexandra L. Niendam, Tara A. Pine, Daniel S. Brotman, Melissa A. Leibenluft, Ellen Tseng, Wan-Ling Neuropsychopharmacology Article Irritability cuts across many pediatric disorders and is a common presenting complaint in child psychiatry; however, its neural mechanisms remain unclear. One core pathophysiological deficit of irritability is aberrant responses to frustrative nonreward. Here, we conducted a preliminary fMRI study to examine the ability of functional connectivity during frustrative nonreward to predict irritability in a transdiagnostic sample. This study included 69 youths (mean age = 14.55 years) with varying levels of irritability across diagnostic groups: disruptive mood dysregulation disorder (n = 20), attention-deficit/hyperactivity disorder (n = 14), anxiety disorder (n = 12), and controls (n = 23). During fMRI, participants completed a frustrating cognitive flexibility task. Frustration was evoked by manipulating task difficulty such that, on trials requiring cognitive flexibility, “frustration” blocks had a 50% error rate and some rigged feedback, while “nonfrustration” blocks had a 10% error rate. Frustration and nonfrustration blocks were randomly interspersed. Child and parent reports of the affective reactivity index were used as dimensional measures of irritability. Connectome-based predictive modeling, a machine learning approach, with tenfold cross-validation was conducted to identify networks predicting irritability. Connectivity during frustration (but not nonfrustration) blocks predicted child-reported irritability (ρ = 0.24, root mean square error = 2.02, p = 0.03, permutation testing, 1000 iterations, one-tailed). Results were adjusted for age, sex, medications, motion, ADHD, and anxiety symptoms. The predictive networks of irritability were primarily within motor-sensory networks; among motor-sensory, subcortical, and salience networks; and between these networks and frontoparietal and medial frontal networks. This study provides preliminary evidence that individual differences in irritability may be associated with functional connectivity during frustration, a phenotype-relevant state. Springer International Publishing 2021-01-21 2021-06 /pmc/articles/PMC8134471/ /pubmed/33479511 http://dx.doi.org/10.1038/s41386-020-00954-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Scheinost, Dustin
Dadashkarimi, Javid
Finn, Emily S.
Wambach, Caroline G.
MacGillivray, Caroline
Roule, Alexandra L.
Niendam, Tara A.
Pine, Daniel S.
Brotman, Melissa A.
Leibenluft, Ellen
Tseng, Wan-Ling
Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth
title Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth
title_full Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth
title_fullStr Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth
title_full_unstemmed Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth
title_short Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth
title_sort functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8134471/
https://www.ncbi.nlm.nih.gov/pubmed/33479511
http://dx.doi.org/10.1038/s41386-020-00954-8
work_keys_str_mv AT scheinostdustin functionalconnectivityduringfrustrationapreliminarystudyofpredictivemodelingofirritabilityinyouth
AT dadashkarimijavid functionalconnectivityduringfrustrationapreliminarystudyofpredictivemodelingofirritabilityinyouth
AT finnemilys functionalconnectivityduringfrustrationapreliminarystudyofpredictivemodelingofirritabilityinyouth
AT wambachcarolineg functionalconnectivityduringfrustrationapreliminarystudyofpredictivemodelingofirritabilityinyouth
AT macgillivraycaroline functionalconnectivityduringfrustrationapreliminarystudyofpredictivemodelingofirritabilityinyouth
AT roulealexandral functionalconnectivityduringfrustrationapreliminarystudyofpredictivemodelingofirritabilityinyouth
AT niendamtaraa functionalconnectivityduringfrustrationapreliminarystudyofpredictivemodelingofirritabilityinyouth
AT pinedaniels functionalconnectivityduringfrustrationapreliminarystudyofpredictivemodelingofirritabilityinyouth
AT brotmanmelissaa functionalconnectivityduringfrustrationapreliminarystudyofpredictivemodelingofirritabilityinyouth
AT leibenluftellen functionalconnectivityduringfrustrationapreliminarystudyofpredictivemodelingofirritabilityinyouth
AT tsengwanling functionalconnectivityduringfrustrationapreliminarystudyofpredictivemodelingofirritabilityinyouth