Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth
| Autor: | Alexandra Roule, Melissa A. Brotman, Emily S. Finn, Caroline G. Wambach, Daniel S. Pine, Javid Dadashkarimi, Ellen Leibenluft, Tara A. Niendam, Wan-Ling Tseng, Dustin Scheinost, Caroline MacGillivray |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Adolescent media_common.quotation_subject Frustration Irritability Predictive markers Medical and Health Sciences Article 03 medical and health sciences 0302 clinical medicine Reward Child and adolescent psychiatry medicine Humans 0501 psychology and cognitive sciences Child media_common Psychiatry Pharmacology Disruptive mood dysregulation disorder Mood Disorders Psychology and Cognitive Sciences 05 social sciences Cognitive flexibility medicine.disease Irritable Mood Psychiatry and Mental health Attention Deficit Disorder with Hyperactivity Attention Deficit and Disruptive Behavior Disorders Connectome Anxiety medicine.symptom Psychology 030217 neurology & neurosurgery Anxiety disorder 050104 developmental & child psychology Clinical psychology |
| Zdroj: | Neuropsychopharmacology Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, vol 46, iss 7 |
| ISSN: | 1740-634X 0893-133X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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