台灣精神分裂症病人於臉部及音韻情緒辨識能力缺損之異同

Dissimilar Defi cits of Facial and Prosodic Emotion Recognition in Patients with Schizophrenia in Taiwan

目的：精神分裂症病人在各種非語言情緒測量的表現都較健康參與者不佳。然而，在不 同種族與文化所觀察到的特定性情緒缺失卻是不一致。採用本土化刺激可能有助於減少這些 潛在的混淆因素。因此，本研究目的是採用一個本土化雙管道非語言工具，以檢驗台灣精神 分裂症病人的非語言情緒辨識缺失之特性。方法：Diagnostic Analysis of Non-verbal Aaccuracy- 2-Taiwan 乃一本土化非語言情緒辨識能力之評估工具，本研究以之評估非語言情緒 辨識正確率，比較26 位精神分裂症病人與39 位健康參與者在各情緒向度上之差異。結果： 精神分裂症病人比較正常人，在負性情緒的辨識正確度較低，特別是顯著較低的憤怒臉部情 緒 (p < 0.01) 與顯著較低的音韻情緒 (p < 0.01)，以及顯著較低的恐懼音韻情緒 (p < 0.05)。 結論：雖然特定性情感缺失存在於不同文化中，但相對於恐懼或其他情緒，憤怒的音韻情緒 缺失可能是台灣漢族精神分裂症特有的情緒辨識缺失。本文據此建議，適當的文化刺激工具 可提供更細緻的情緒辨識缺失之測量。

Objective: Patients with schizophrenia perform generally worse on various nonverbal emotional measures than healthy participants. But inconsistency of emotion-specifi c diffi culties has been observed among different ethnicities and cultures. Using native stimuli may help minimize these potential confounding factors. Thus, the objective of this study was to apply a culturally suitable, dual modality nonverbal instrument with native stimuli to examine emotional recognition defi cits in Han Chinese patients with schizophrenia in Taiwan. Method: We developed the Diagnostic Analysis of Non-verbal Aaccuracy-2-Taiwan to evaluate nonverbal emotion recognition accuracy. We compared emotion cognition and cognitive reservoir between 26 patients with schizophrenia and 39 healthy study participants. Results: Patients with schizophrenia displayed less accuracy in negative emotion recognition, especially signifi cantly less anger for both facial (p < 0.01) and prosodic (p < 0.01) emotions, and signifi cantly less fear expression (p < 0.05) for prosodic modality compared to healthy study participants. Conclusion: Emotion-specifi c defi cits might present across different cultures. Prosodic emotion recognition defi cit, and specifi cally anger rather than fear or else recognition, may be a more culture-specifi c defi cit for in schizophrenia in ethnic Han population. Culturally suitable stimuli might provide a more delicate measurement of emotion recognition defi cits.