Individual Behavioral Insights in Schizophrenia:A Network Analysis and Mobile Sensing Approach

Davies, Andy, Fried, Eiko, Aung, Hane and Costilla-Reyes, Omar (2023) Individual Behavioral Insights in Schizophrenia:A Network Analysis and Mobile Sensing Approach.

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Abstract

Digital phenotyping in mental health often consists of collecting behavioral and experience-based information through sensory and self-reported data from devices such as smartphones. Such rich and comprehensive data could be used to develop insights into the relationships between daily behavior and a range of mental health conditions. However, current analytical approaches have shown limited application due to these datasets being both high dimensional and multimodal in nature. This study demonstrates the first use of a principled method which consolidates the complexities of subjective self-reported data (Ecological Momentary Assessments - EMAs) with concurrent sensor-based data. In this study the CrossCheck dataset is used to analyse data from 50 participants diagnosed with schizophrenia. Network Analysis is applied to EMAs at an individual (n-of-1) level while sensor data is used to identify periods of various behavioral context. Networks generated during periods of certain behavioral contexts, such as variations in the daily number of locations visited, were found to significantly differ from baseline networks and networks generated from randomly sampled periods of time. The framework presented here lays a foundation to reveal behavioural contexts and the concurrent impact of self-reporting at an n-of-1 level. These insights are valuable in the management of serious mental illnesses such as schizophrenia.

Item Type:	Article
Additional Information:	Published on proceedings of EAI PervasiveHealth 2023 - 17th EAI International Conference on Pervasive Computing Technologies for Healthcare
Uncontrolled Keywords:	cs.si,cs.hc,sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
Faculty \ School:	Faculty of Science > School of Computing Sciences Faculty of Science
UEA Research Groups:	Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Science > Research Groups > Colour and Imaging Lab Faculty of Science > Research Groups > Health Computing Faculty of Science > Research Groups > Smart Emerging Technologies (former - to 2025)
Related URLs:	https://arxiv.org/pdf/2312.01216v1
Depositing User:	LivePure Connector
Date Deposited:	10 Feb 2026 17:32
Last Modified:	16 Feb 2026 01:29
URI:	https://ueaeprints.uea.ac.uk/id/eprint/101903
DOI:

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