The effect of anger on pulse-graph parameters in healthy college students: A pilot study

Zhang, Daoning; Zhao, Yan; Zeng, Changchun; Chen, Wanhong; Wang, Tianfang

doi:10.1016/j.jtcms.2016.12.007

Cited by 1 publication

(1 citation statement)

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“…Pulse rate (PR) from finger photoplethysmography (22) was recorded throughout scanning. Increased PR reflects physiological arousal (23) associated with (24), albeit not specific to, frustration (25). Before scanning, parents and youth independently rated the child's irritability during the past week with the Affective Reactivity Index (26).…”

Section: Paradigmmentioning

confidence: 99%

Persistent frustration-induced reconfigurations of brain networks predict individual differences in irritability

Linke

Haller

et al. 2021

Preprint

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BackgroundFrustration, the response to blocked goal attainment, is a universal affective experience, but how the brain embodies frustration is not known. Understanding brain network dynamics during frustration may provide insight into pediatric irritability, one of the most frequent reasons for psychiatric consultation in youth and a risk factor for affective disorders and suicidality.MethodsUsing fMRI, we investigated changes in neural network architecture from a baseline resting-state, through a task that included frustrative nonreward (FNR) and anticipation of new feedback following FNR (FNR+1), to a post-task resting-state in a transdiagnostic sample of 66 youth (33 female, mean age 14 years). Using a train/test/held-out procedure, we aimed to predict past-week irritability from the global efficiency (i.e., Eglob, capacity for parallel information processing) of brain networks before, during, and after frustration.ResultsCompared to pre-task resting state, FNR+1 and the post-state resting state were uniquely associated with a more segregated brain network organization. Nodes that were originally affiliated with the default-mode-temporal-limbic and fronto-parietal networks contributed most to this reconfiguration. Solely Eglob of brain networks that emerged after the frustrating task predicted self- and observer-rated irritability in previously unseen data. Self-reported irritability was predicted by Eglob of a fronto-temporal-limbic module, while observer-rated irritability was predicted by Eglob of motor-parietal and ventral-prefrontal-subcortical modules.DiscussionWe characterize frustration as an evolving brain network process and demonstrate the importance of the post-frustration recovery period for the pathophysiology of irritability; an insight that, if replicated, suggests specific intervention targets for irritability.

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