Ecological momentary facial emotion recognition in psychotic disorders.
Ecological momentary facial emotion recognition in psychotic disorders.
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DOI：
10.1017/s0033291720004419
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发表时间：
2022-10
影响因子：
6.9
通讯作者：
Pinkham A
中科院分区：
文献类型：
--
作者：
Depp CA;Kamarsu S;Filip TF;Parrish EM;Harvey PD;Granholm EL;Chalker S;Moore RC;Pinkham A
生态瞬时评估（EMA）过程中进行的认知任务可能阐明认知和绩效判断的短期动态及情境影响。本文对一项针对严重精神疾病患者的面部情绪识别智能手机任务进行了初步验证。
共有86名年龄在19 - 65岁之间的患有精神病性障碍（非情感性和情感性精神病）的参与者接受了实验室“金标准”的情感识别、神经认知和症状评估。随后，他们完成了为期10天的移动面部情绪识别任务，评估了准确性和自我评估的表现，同时进行了精神病症状和情绪的即时生态瞬时评估。验证集中在任务依从性和依从性的预测因素、金标准收敛效度以及症状和诊断组差异上。
该任务的平均依从率为79%；没有人口统计学或临床变量能够预测依从性。在面部情绪识别的实验室测量中观察到收敛效度，并且在移动面部情绪识别任务中未观察到练习效应。更严重的幻听、悲伤和偏执的生态瞬时评估报告与更差的表现相关，而情绪与自我评估的表现相关性更强。
移动面部情绪识别任务是可接受的，并与同一结构的实验室测量结果显示出收敛效度。社会认知表现以及先前被证明可预测功能的有偏差的判断，可以在自然环境中实时评估。
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. 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. 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. 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.