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An implicit and reliable neural measure quantifying impaired visual coding of facial expression: evidence from the 22q11.2 deletion syndrome

机译:一种隐式且可靠的神经测量方法,可量化面部表情受损的视觉编码:来自22q11.2缺失综合征的证据

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Although various psychiatric disorders present with social-cognitive impairment, a measure assessing social-cognitive processes implicitly and reliably, with high selectivity and with enough signal-to-noise ratio (SNR) for individual evaluation of any population at any age, is lacking. Here we isolate a neural marker quantifying impaired visual coding of facial expression in individuals with 22q11.2 deletion syndrome (22q11DS) using frequency-tagging with electroencephalography (EEG). Twenty-two 22q11DS participants and 22 healthy controls were presented with changes of facial expression displayed at low, moderate, and high intensities every five cycles in a stream of one neutral face repeating 6 times per second (i.e., at a 6?Hz base rate). The brain response to expression changes tagged at the 1.2?Hz (i.e., 6?Hz/5) predefined frequency was isolated over occipito-temporal regions in both groups of participants for moderate- and high-intensity facial expressions. Neural sensitivity to facial expression was reduced by about 36% in 22q11DS, revealing impaired visual coding of emotional facial signals. The significance of the expression-change response was estimated for each single participant thanks to the high SNR of the approach. Further analyses revealed the high reliability of the response and its immunity from other neurocognitive skills. Interestingly, response magnitude was associated with the severity of positive symptoms, pointing to a potential endophenotype for psychosis risk. Overall, the present study reveals an objective, selective, reliable, and behavior-free signature of impaired visual coding of facial expression implicitly quantified from brain activity with high SNR. This novel tool opens avenues for clinical practice, providing a potential early biomarker for later psychosis onset and offering an alternative for individual assessment of social-cognitive functioning in even difficult-to-test participants.
机译:尽管各种精神疾病都存在社会认知障碍,但仍缺乏一种以高选择性和足够信噪比(SNR)隐含且可靠地评估社会认知过程的措施,无法对任何年龄的任何人群进行个体评估。在这里,我们使用脑电图(EEG)频率标记,分离出一个量化神经表情标记的面部表情受损的22q11.2缺失综合征(22q11DS)个体的神经标记。向22位22q11DS参与者和22位健康对照进行了演示,每5个循环以低强度,中强度和高强度显示面部表情的变化,其中一张中性脸部每秒每秒重复6次(即,基本频率为6?Hz) )。在中,高强度面部表情的两组参与者的枕颞区域中,均将大脑对以1.2?Hz(即6?Hz / 5)的预定义频率标记的表情变化的反应分离出来。在22q11DS中,对面部表情的神经敏感性降低了约36%,这表明情感面部信号的视觉编码受损。由于该方法的信噪比高,因此估计了每个参与者的表情变化响应的重要性。进一步的分析表明,该反应具有很高的可靠性,并且不受其他神经认知技能的影响。有趣的是,反应幅度与阳性症状的严重程度相关,指出了潜在的精神病风险表型。总体而言,本研究揭示了客观,选择性,可靠和无行为的面部表情视觉编码受损的信号,这些信号从具有高SNR的大脑活动中隐式量化。这种新颖的工具为临床实践开辟了道路,为以后的精神病发作提供了潜在的早期生物标志物,甚至为难以测试的参与者提供了一种单独的社会认知功能评估方法。

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