Bipolar Disorder, Major Depressive Disorder, Major Depressive Episode
Conditions
Keywords
Digital phenotyping, Emotion, OCOSense, Wearables, Multimodal
Brief summary
The primary aim of this project is to test if OCOsense glasses can function as a digital phenotyping tool derived from behavioural and physiological signals related to facial expression and motion recorded using the glasses.
Detailed description
Assessment of participants living with a DSM5 research diagnosis of Bipolar disorder or Major depressive disorder as well as healthy controls who will be recruited and characterised through precision phenotyping involving cross-sectional assessment of biobehavioural and physiological markers of the symptoms of depression. Correlations between objective (i.e., OCOsense glasses captured) and subjective (i.e., self-reported) symptoms of depression will be measured within as well as across diagnoses. The resulting biobehavioral clusters will form the building block of a digital phenotyping tool based upon the wider spectrum of non-verbal behaviours and physiology defined and affected by the phenotype of depression.
Interventions
DEVICEOCOsense
Volunteers wear OCOsense glasses continuously during testing to monitor biobehavioural responses to tasks
Sponsors
Emteq Ltd
Study design
Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to 40 Years
Inclusion criteria
All participants: * Ability to read & understand English. This is because the majority of our questionnaires are validated in the English language only. * Able to walk, sit, lay and stand unaided Clinical cases: ● ≥ 15 on the Patient health Questionnaire-9 (PhQ9) (moderate to severe depression)
Exclusion criteria
Healthy control participants: * Self-reported current or past history (suspected or diagnosed) of any psychiatric condition * \<5 on the Generalised Anxiety Disorder-7 questionnaire (GAD-7) * \<5 on the PhQ-9 (no depression) * Receiving medication for any psychiatric disorder (excluding fibromyalgia) All participants: * \< 18 years of age or \>40 years of age * Anatomical constraints that affect fit (e.g. facial disfigurement) * Facial nerve damage which limits the ability to make facial expressions * Body Mass Index (BMI) \>29.9 which we deem may affect physical mobility
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The demonstration of a significant association between facial expression-derived objective valence and self-reported subjective mood under controlled exposure | 4 hours | Measures of facial muscular activation in the corrugator supercilli and zygomaticus major muscles. By comparing the ratio of corrugator to zygomatic muscle activation, the OCOsense glasses will produce: \- Objective valence at a given time (ratio/intensity of corrugator to zygomatic muscle activation at that time). |
| The demonstration of a significant association between facial expression derived objective mood and self-reported subjective mood under controlled exposure | 4 hours | Measures of facial muscular activation in the corrugator supercilli and zygomaticus major muscles. By measuring corrugator and zygomatic muscle activation, the OCOsense glasses will produce: \- Objective mood during negatively valenced exposures, neutrally valenced exposures and positively valenced exposures described in terms of expression intensity and variability for each exposure. |
| Identifying physical activity engagement. | 2 hours | The OCOsense glasses contain Inertial Measurement Units (IMU) sensors. By detecting inertial displacement over time OCOsense will detect: \- Movement: a measure of movement over a period of time - specifically, how much of the time period is spent (i) stationary, (ii) in motion, (iii) fidgeting, (iv) engaging with a variety of activities of daily living |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Investigating the relationship between vocal prosody and self-reported subjective mood | 2 hours | The OCOsense glasses contain a microphone. By detecting vocal parameters over time OCOsense will detect: \- the nonsemantic lexical features of speech related to pitch and tone whilst participants verbally recall a positive event in their life or engage with a semi-structured diagnostic interview. |
Countries
United Kingdom
Outcome results
None listed