A Survey of Dynamic Systems Methods for Developmental Psychopathology

Granic, Isabela; Hollenstein, Tom

doi:10.1002/9780470939383.ch22

Cited by 23 publications

(42 citation statements)

References 91 publications

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“…Second, family systems theory has provided rich accounts of family processes in the therapeutic context (Minuchin, 1974; Restifo & Bogels, 2009). Incorporation of dynamic systems methodologies such as state space grids that can quantify the hypotheses derived from family-systems theory is an important contribution to reduce the theory-method gap in developmental psychopathology (Granic & Hollenstein, 2006; Richters, 1997). Finally, several emerging models of adolescent psychopathology focus on the regulation of emotional arousal as a critical developmental process (Allen & Sheeber, 2008; Steinberg, 2007).…”

Section: Discussionmentioning

confidence: 99%

Affective patterns in triadic family interactions: Associations with adolescent depression

2015

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Affective family processes are associated with the development of depression during adolescence. However, empirical description of these processes is generally based on examining affect at the individual or dyadic level. The purpose of this study was to examine triadic patterns of affect during parent-adolescent interactions in families with or without a depressed adolescent. We used state space grid analysis to characterize the state of all three actors simultaneously. Compared to healthy controls, triads with depressed adolescents displayed a wider range of affect, demonstrated less predictability of triadic affective sequences, spent more time and returned more quickly to discrepant affective states, and spent less time and returned more slowly to matched affective states, particularly while engaged in a problem-solving interaction. Furthermore, we identified seven unique triadic states in which triads with depressed adolescents spent significantly more time than triads with healthy controls. The present study enhances understanding of family affective processes related to depression by taking a more systemic approach and revealing triadic patterns that go beyond individual and dyadic analyses.

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Section: Discussionmentioning

confidence: 99%

Affective patterns in triadic family interactions: Associations with adolescent depression

2015

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“…However, methods developed to study the micro‐dynamics of activity in laboratory settings are readily utilized on daily sensor data (Gottman & Roy, ). Additionally, methods papers by Granic and colleagues and others (Granic & Hollenstein, ; Granic et al, ; de Barbaro, Johnson, Forster, & Deak, ) detail the discovery and quantification of theoretically meaningful structure in high‐density multimodal repeated measures data with consideration of longitudinal outcomes. Finally, sophisticated tools have been developed for longitudinal analyses of high‐density repeated‐measures data (Bolger & Laurenceau, ; Kim‐Spoon & Grimm, ; Krull, Cheong, Fritz, & MacKinnon, ).…”

Section: Pushing the Envelope: The Future Of Mobile Sensing In Develomentioning

confidence: 99%

Automated sensing of daily activity: A new lens into development

Barbaro

2019

Developmental Psychobiology

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Rapidly maturing technologies for sensing and activity recognition can provide unprecedented access to the complex structure daily activity and interaction, promising new insight into the mechanisms by which experience shapes developmental outcomes. Motion data, autonomic activity, and “snippets” of audio and video recordings can be conveniently logged by wearable sensors (Lazer et al., 2009). Machine learning algorithms can process these signals into meaningful markers, from child and parent behavior to outcomes such as depression or teenage drinking. Theoretically motivated aspects of daily activity can be combined and synchronized to examine reciprocal effects between children’s behaviors and their environments or internal processes. Captured over longitudinal time, such data provide a new opportunity to study the processes by which individual differences emerge and stabilize. This paper introduces the reader to developments in sensing and activity recognition with implications for developmental phenomena across the lifespan, sketching a framework for leveraging mobile sensors for transactional analyses that bridge micro‐ and longitudinal‐ timescales of development. It finishes by detailing resources and best practices to facilitate the next generation of developmentalists to contribute to this emerging area.

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“…This theoretical framework is based on a distillation of basic concepts at a principle-based level with some adaptation (for more comprehensive presentations, see Granic & Hollenstein, 2006; Lewis, 2005; Salvatore & Tschacher, 2012; Schiepek, Eckert, Aas, Wallot., & Wallot, 2015). Some might argue that one aspect or another of the framework is too crude, does not meet the exact specifications of dynamic systems modeling, or does not include important details.…”

Section: General Framework: Basic Principles Of Dynamic Systems Theormentioning

confidence: 99%

Network destabilization and transition in depression: New methods for studying the dynamics of therapeutic change

Hayes

Yasinski

Barnes

et al. 2015

Clinical Psychology Review

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The science of dynamic systems is the study of pattern formation and system change. Dynamic systems theory can provide a useful framework for understanding the chronicity of depression and its treatment. We propose a working model of therapeutic change with potential to organize findings from psychopathology and treatment research, suggest new ways to study change, facilitate comparisons across studies, and stimulate treatment innovation. We describe a treatment for depression that we developed to apply principles from dynamic systems theory and then present a program of research to examine the utility of this application. Recent methodological and technological developments are also discussed to further advance the search for mechanisms of therapeutic change.

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A Survey of Dynamic Systems Methods for Developmental Psychopathology

Cited by 23 publications

References 91 publications

Affective patterns in triadic family interactions: Associations with adolescent depression

Affective patterns in triadic family interactions: Associations with adolescent depression

Automated sensing of daily activity: A new lens into development

Network destabilization and transition in depression: New methods for studying the dynamics of therapeutic change

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