2023
DOI: 10.1037/abn0000849
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Autonomic complexity dynamically indexes affect regulation in everyday life.

Abstract: Affect regulation often is disrupted in depression. Understanding biomarkers of affect regulation in ecologically valid contexts is critical for identifying moments when interventions can be delivered to improve regulation and may have utility for identifying which individuals are vulnerable to psychopathology. Autonomic complexity, which includes linear and nonlinear indices of heart rate variability, has been proposed as a novel marker of neurovisceral integration. However, it is not clear how autonomic comp… Show more

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Cited by 6 publications
(5 citation statements)
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“…The analyses reported in this article involved a secondary analysis of existing data rather than new data collection. The data were originally collected to study neural and ambulatory markers of emotion regulation, which has led to several preliminary articles (Stange et al, 2023; Xu et al, 2024). We report how we determined our sample size, all data exclusions (if any), all manipulations, and all measures in the study.…”
Section: Methodsmentioning
confidence: 99%
“…The analyses reported in this article involved a secondary analysis of existing data rather than new data collection. The data were originally collected to study neural and ambulatory markers of emotion regulation, which has led to several preliminary articles (Stange et al, 2023; Xu et al, 2024). We report how we determined our sample size, all data exclusions (if any), all manipulations, and all measures in the study.…”
Section: Methodsmentioning
confidence: 99%
“…Several respondents also noted a critical need to integrate various frameworks for psychopathology such as HiTOP and RDoC to ensure there were no redundancies between them (e.g., Michelini et al, 2021) and to allow for rigorous measurement and testing of constructs advanced by each system. Similarly, the importance of integrating the multimethod approaches to the measurement between frameworks was clear, although the small intercorrelations among various measurement modalities pose a challenge here—for example, self-report symptoms correlated more highly with other self-report symptoms than they do electroencephalogram (EEG), magnetic resonance imaging (MRI), or genetics, and vice versa (see Stange et al, 2023, and Pasion et al, 2023, for examples of such studies). The commentary by Joyner and Perkins (2023) discusses this topic in greater detail as well.…”
Section: Perspectives On Studying Fine-grained Phenomenamentioning
confidence: 99%
“…Certainly, as noted, there is great potential for more nuanced and specific structural models, as well as the identification of symptoms (or even syndromes) that may cut across DSM disorders, or else are poorly represented by them, as noted by Karlovich et al (2023). Fine-grained data also stand to improve dynamic computational models that endeavor to be more closely connected to sophisticated theory and to psychopathology as individuals experience it (Stange et al, 2023; Olthof et al, 2023), thereby facilitating clinical translation.…”
Section: Why Should Psychopathology Research Shift Focus To Fine-grai...mentioning
confidence: 99%
“…Misspecification of boundaries produces misleading results regarding the importance of symptoms in relation to each other (Neal & Neal, 2023; Neal et al, 2022). In addition, framing questions in terms of processes or mechanisms within a given disorder (e.g., major depression) implies that the phenomena being studied are specific to a particular disorder—an assumption that may well be unwarranted (see Stange et al, 2023). This practice can also obscure individual differences in dynamic, within-person processes, which may have little or nothing to do with diagnostic group status (Kullar et al, 2023).…”
Section: What Challenges Do We Face?mentioning
confidence: 99%
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