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Dataset Information

Characterizing the dynamics, reactivity and controllability of moods in depression with a Kalman filter.


ABSTRACT:

Background

Mood disorders involve a complex interplay between multifaceted internal emotional states, and complex external inputs. Dynamical systems theory suggests that this interplay between aspects of moods and environmental stimuli may hence determine key psychopathological features of mood disorders, including the stability of mood states, the response to external inputs, how controllable mood states are, and what interventions are most likely to be effective. However, a comprehensive computational approach to all these aspects has not yet been undertaken.

Methods

Here, we argue that the combination of ecological momentary assessments (EMA) with a well-established dynamical systems framework-the humble Kalman filter-enables a comprehensive account of all these aspects.

SUBMITTER: Malamud J 

PROVIDER: S-EPMC11449358 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature