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Modeling in Therapy

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
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Related Experiment Video

Updated: Jul 19, 2025

Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits

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Published on: March 15, 2024

Profiling Daily Life Performance Recovery in the Early Subacute Phase After Stroke Using a Graphical Modeling

Janne M Veerbeek¹, Clemens Hutter², Beatrice Ottiger¹

¹Neurocenter Luzerner Kantonsspital Lucerne Switzerland.

Journal of the American Heart Association

|August 15, 2023

Summary

This summary is machine-generated.

Stroke recovery in daily life is complex and domain-specific. Cognitive abilities are key for mobility and domestic life recovery after stroke, despite varied anatomical causes.

Keywords:

activities and participation conditional independence graphical modeling performance prognosis recovery stroke

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Compensatory Limb Use and Behavioral Assessment of Motor Skill Learning Following Sensorimotor Cortex Injury in a Mouse Model of Ischemic Stroke

Compensatory Limb Use and Behavioral Assessment of Motor Skill Learning Following Sensorimotor Cortex Injury in a Mouse Model of Ischemic Stroke

Published on: July 10, 2014

Area of Science:

Neuroscience
Rehabilitation Medicine
Clinical Psychology

Background:

Laboratory assessments of stroke recovery lack ecological validity.
Daily life performance recovery is crucial but poorly understood.
Stroke recovery is heterogeneous across patients and functional domains.

Purpose of the Study:

To profile daily life performance recovery across domains in early subacute stroke patients.
To determine the interrelatedness of domain recovery, considering stroke localization.
To provide an innovative view on stroke recovery dynamics.

Main Methods:

Observed daily life performance using a 7-domain scale from neurorehabilitation admission to discharge.
Analyzed data from 592 patients.
Applied graphical modeling to investigate domain recovery interdependencies based on stroke localization.

Main Results:

Identified four clusters of interrelated daily life recovery domains within 6 weeks poststroke.
Cluster 1: learning, general tasks, domestic life. Cluster 2: self-care, general tasks. Cluster 3: mobility, self-care (with variations based on stroke side).
Cluster 4: communication recovery. Cognitive domains were highly interrelated and crucial for mobility and domestic life recovery.

Conclusions:

Early poststroke daily life recovery dynamics reveal comparable performance impacts despite anatomical differences.
Domain recovery is interrelated, particularly cognitive domains, which are essential for mobility and domestic life.
Stroke localization influences specific domain interrelationships, highlighting the complexity of functional recovery.