Department of Psychology, Virginia Tech.
Department of Computer Science, Virginia Tech.
J Clin Child Adolesc Psychol. 2022 May-Jun;51(3):323-343. doi: 10.1080/15374416.2022.2051528. Epub 2022 Apr 27.
The present study sought to measure and internally validate neural markers of facial emotion recognition (FER) in adolescents and young adults with ASD to inform targeted intervention.
We utilized fMRI to measure patterns of brain activity among individuals with ASD ( = 21) and matched controls (CON; = 20) 2 s prior to judgments about the identity of six distinct facial emotions (happy, sad, angry, surprised, fearful, disgust).
Predictive modeling of fMRI data (support vector classification; SVC) identified mechanistic roles for brain regions that forecasted correct and incorrect identification of facial emotion as well as sources of errors over these decisions. BOLD signal activation in bilateral insula, anterior cingulate (ACC) and right dorsolateral prefrontal cortex (dlPFC) preceded accurate FER in both controls and ASD. Predictive modeling utilizing SVC confirmed the utility of ACC in forecasting correct decisions in controls but not ASD, and further indicated that a region within the right dlPFC was the source of a type 1 error signal in ASD (i.e. neural marker reflecting an impending correct judgment followed by an incorrect behavioral response) approximately two seconds prior to emotion judgments during fMRI.
ACC forecasted correct decisions only among control participants. Right dlPFC was the source of a false-positive signal immediately prior to an error about the nature of a facial emotion in adolescents and young adults with ASD, potentially consistent with prior work indicating that dlPFC may play a role in attention to and regulation of emotional experience.
本研究旨在测量和内部验证自闭症谱系障碍(ASD)青少年和年轻人的面部情绪识别(FER)的神经标志物,以提供有针对性的干预措施。
我们利用 fMRI 来测量 ASD 个体(n=21)和匹配对照组(CON;n=20)在对六种不同面部表情(快乐、悲伤、愤怒、惊讶、恐惧、厌恶)的身份进行判断前 2 秒的大脑活动模式。
对 fMRI 数据(支持向量分类;SVC)的预测模型确定了大脑区域的机制作用,这些区域可以预测面部情绪的正确和错误识别,以及这些决策中的错误来源。双侧岛叶、前扣带回(ACC)和右侧背外侧前额叶皮层(dlPFC)的 BOLD 信号激活先于控制组和 ASD 组的准确 FER。利用 SVC 进行的预测模型确认了 ACC 在预测对照组正确决策中的效用,但在 ASD 中则不然,并且进一步表明,右侧 dlPFC 内的一个区域是 ASD 中 1 型错误信号的来源(即反映即将做出正确判断但随后做出错误行为反应的神经标志物),大约在 fMRI 进行面部情绪判断前两秒。
ACC 仅在对照组参与者中预测正确决策。右侧 dlPFC 是 ASD 青少年和年轻人在做出面部情绪性质错误判断之前出现假阳性信号的来源,这可能与先前表明 dlPFC 可能在注意和调节情绪体验中发挥作用的工作一致。