# Article - Towards clinically actionable digital phenotyping targets in schizophrenia Philip Henson, Ian Barnett, Matcheri Keshavan and John Torous npj Schizophrenia (2020)6:13 ; https://doi.org/10.1038/s41537-020-0100-1 #Digital_Phenotype [[Digital Interventions]] [[Digital Phenotype Signals associated with Psychosis]] [[Towards clinically actionable digital phenotyping targets in schizophrenia (1).pdf]] --- - [[Sensors on phones offer an opportunity for real time assessments of behaviour and cognition, which is valuable for detecting relapse signs in people with schizophrenia]] - [[Sleep disturbances is a warning sign for relapse in schizophrenia, it can be monitored on wearable sensors]] - [[How can digital phenotyping help understand functional outcomes in schizophrenia]]? - [[Correlation between phone use patterns to persecutory delusion]] - [[Link between phone use and relapse]] - [[We must separate passive data caused by lifestyle and behavioural changes from symptomatology changes]] - [[Active and passive sleep data in sleep in schizophrenia have yet to be replicated]] - [[We should include a control group to compare healthy and patient digital phenotype data]] - Passive data links - "The potential of passive data to understand functional outcomes in schizophrenia is reflected in numerous ongoing studies collecting a range of sensor data from participants10,11 and others identifying specific correlations between phone use patterns, persecutory delusions12, and relapse13." 1. Alonso-Solís, A. et al. Mobile therapeutic attention for treatment-resistant schi- zophrenia (m-RESIST): a prospective multicentre feasibility study protocol in patients and their caregivers. BMJ Open. 8, e021346 (2018). 2. Reinertsen, E. & Clifford, G. D. A review of physiological and behavioral mon- itoring with digital sensors for neuropsychiatric illnesses. Physiol. Meas. 39, 05TR01 (2018).