[[Digital Phenotyping]] [[DP - Text Messages]] [[Sociability]] [[DP - Phone calls]] [[DP - Speech]] [[DP - Geolocation]] [[Bipolar Disorder]] [[How can HOPE help patient with bipolar disorder]] - [[The less structured the routine, the higher the severity of reported depression, anxiety, psychosis and sleep symptoms in schizophrenia]] From [[Article - Technology and Mental Health. State of the Art for Assessment and Treatment]] - The social zeitgeber model of bipolar disorder proposes that “changes in daily social rhythms or schedules lead to disruption of circadian rhythms and, in turn, onset of bipolar mood episodes”15,16 with research supporting that “low social rhythm regularity is a vulnerability factor for bipolar spectrum disorders”16. - [[Article - Towards Clinically Actionable Digital Phenotyping Targets in Schizophrenia]] - "in bipolar disorder, incipient depressive symptoms have been predicted by changes in the number of outgoing text messages, the duration of incoming phone calls, geolocation-based mobility measures, and vocal features extracted during phone calls." - "**Manic symptoms of bipolar disorder have been predicted by more outgoing texts and calls, acoustic properties of speech extracted during phone calls (e.g., standard deviation of pitch), and increased movement detected via accelerometry (100, 101**)." - 100 - Ebner-Priemer UW, Mühlbauer E, Neubauer AB, et al: Digital phenotyping: towards replicable findings with comprehensive assessments and integrative models in bipolar disorders. Int J Bipol Disord 2020; 8:35 - 101 - Faurholt-Jepsen M, Busk J, Frost M, et al: Voice analysis as an objective state marker in bipolar disorder. Transl Psychiatry 2016; 6:e856