Ecological momentary facial emotion recognition in psychotic disorders. Issue 13 (12th October 2022)
- Record Type:
- Journal Article
- Title:
- Ecological momentary facial emotion recognition in psychotic disorders. Issue 13 (12th October 2022)
- Main Title:
- Ecological momentary facial emotion recognition in psychotic disorders
- Authors:
- Depp, Colin A.
Kamarsu, Snigdha
Filip, Tess F.
Parrish, Emma M.
Harvey, Philip D.
Granholm, Eric L.
Chalker, Samantha
Moore, Raeanne C.
Pinkham, Amy - Abstract:
- Abstract: Background: Cognitive tasks delivered during ecological momentary assessment (EMA) may elucidate the short-term dynamics and contextual influences on cognition and judgements of performance. This paper provides initial validation of a smartphone task of facial emotion recognition in serious mental illness. Methods: A total of 86 participants with psychotic disorders (non-affective and affective psychosis), aged 19–65, were administered in-lab 'gold standard' affect recognition, neurocognition, and symptom assessments. They subsequently completed 10 days of the mobile facial emotion recognition task, assessing both accuracy and self-assessed performance, along with concurrent EMA of psychotic symptoms and mood. Validation focused on task adherence and predictors of adherence, gold standard convergent validity, and symptom and diagnostic group variation. Results: The mean rate of adherence to the task was 79%; no demographic or clinical variables predicted adherence. Convergent validity was observed with in-lab measures of facial emotion recognition, and no practice effects were observed on the mobile facial emotion recognition task. EMA reports of more severe voices, sadness, and paranoia were associated with worse performance, whereas mood more strongly associated with self-assessed performance. Conclusion: The mobile facial emotion recognition task was tolerated and demonstrated convergent validity with in-lab measures of the same construct. Social cognitiveAbstract: Background: Cognitive tasks delivered during ecological momentary assessment (EMA) may elucidate the short-term dynamics and contextual influences on cognition and judgements of performance. This paper provides initial validation of a smartphone task of facial emotion recognition in serious mental illness. Methods: A total of 86 participants with psychotic disorders (non-affective and affective psychosis), aged 19–65, were administered in-lab 'gold standard' affect recognition, neurocognition, and symptom assessments. They subsequently completed 10 days of the mobile facial emotion recognition task, assessing both accuracy and self-assessed performance, along with concurrent EMA of psychotic symptoms and mood. Validation focused on task adherence and predictors of adherence, gold standard convergent validity, and symptom and diagnostic group variation. Results: The mean rate of adherence to the task was 79%; no demographic or clinical variables predicted adherence. Convergent validity was observed with in-lab measures of facial emotion recognition, and no practice effects were observed on the mobile facial emotion recognition task. EMA reports of more severe voices, sadness, and paranoia were associated with worse performance, whereas mood more strongly associated with self-assessed performance. Conclusion: The mobile facial emotion recognition task was tolerated and demonstrated convergent validity with in-lab measures of the same construct. Social cognitive performance, and biased judgements previously shown to predict function, can be evaluated in real-time in naturalistic environments. … (more)
- Is Part Of:
- Psychological medicine. Volume 52:Issue 13(2022)
- Journal:
- Psychological medicine
- Issue:
- Volume 52:Issue 13(2022)
- Issue Display:
- Volume 52, Issue 13 (2022)
- Year:
- 2022
- Volume:
- 52
- Issue:
- 13
- Issue Sort Value:
- 2022-0052-0013-0000
- Page Start:
- 2531
- Page End:
- 2539
- Publication Date:
- 2022-10-12
- Subjects:
- Mobile technology -- psychometric assessment -- psychosis -- social cognition -- time series analysis
Psychiatry -- Periodicals
Medicine and psychology -- Periodicals
Clinical psychology -- Periodicals
616.89 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=PSM ↗
- DOI:
- 10.1017/S0033291720004419 ↗
- Languages:
- English
- ISSNs:
- 0033-2917
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 24336.xml