Chakraborty Anya, Chakrabarti Bhismadev
Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading, Reading, RG6 6AL UK.
Mol Autism. 2015 Mar 30;6:20. doi: 10.1186/s13229-015-0016-1. eCollection 2015.
Atypical self-processing is an emerging theme in autism research, suggested by lower self-reference effect in memory, and atypical neural responses to visual self-representations. Most research on physical self-processing in autism uses visual stimuli. However, the self is a multimodal construct, and therefore, it is essential to test self-recognition in other sensory modalities as well. Self-recognition in the auditory modality remains relatively unexplored and has not been tested in relation to autism and related traits. This study investigates self-recognition in auditory and visual domain in the general population and tests if it is associated with autistic traits.
Thirty-nine neurotypical adults participated in a two-part study. In the first session, individual participant's voice was recorded and face was photographed and morphed respectively with voices and faces from unfamiliar identities. In the second session, participants performed a 'self-identification' task, classifying each morph as 'self' voice (or face) or an 'other' voice (or face). All participants also completed the Autism Spectrum Quotient (AQ). For each sensory modality, slope of the self-recognition curve was used as individual self-recognition metric. These two self-recognition metrics were tested for association between each other, and with autistic traits.
Fifty percent 'self' response was reached for a higher percentage of self in the auditory domain compared to the visual domain (t = 3.142; P < 0.01). No significant correlation was noted between self-recognition bias across sensory modalities (τ = -0.165, P = 0.204). Higher recognition bias for self-voice was observed in individuals higher in autistic traits (τ AQ = 0.301, P = 0.008). No such correlation was observed between recognition bias for self-face and autistic traits (τ AQ = -0.020, P = 0.438).
Our data shows that recognition bias for physical self-representation is not related across sensory modalities. Further, individuals with higher autistic traits were better able to discriminate self from other voices, but this relation was not observed with self-face. A narrow self-other overlap in the auditory domain seen in individuals with high autistic traits could arise due to enhanced perceptual processing of auditory stimuli often observed in individuals with autism.
非典型自我加工是自闭症研究中一个新兴的主题,这一主题由记忆中较低的自我参照效应以及对视觉自我表征的非典型神经反应所暗示。大多数关于自闭症患者身体自我加工的研究使用视觉刺激。然而,自我是一个多模态的概念,因此,在其他感觉模态中测试自我识别也至关重要。听觉模态中的自我识别研究相对较少,且尚未针对自闭症及相关特质进行测试。本研究调查了普通人群在听觉和视觉领域的自我识别情况,并测试其是否与自闭症特质相关。
39名神经典型成年人参与了一项分为两部分的研究。在第一阶段,记录每个参与者的声音,并分别拍摄其面部照片,然后将面部与陌生身份的声音和面部进行变形处理。在第二阶段,参与者执行一项“自我识别”任务,将每个变形图像分类为“自我”声音(或面部)或“他人”声音(或面部)。所有参与者还完成了自闭症谱系商数(AQ)测试。对于每种感觉模态,自我识别曲线的斜率被用作个体自我识别指标。对这两个自我识别指标之间的关联性以及它们与自闭症特质之间的关联性进行了测试。
与视觉领域相比,听觉领域中更高比例的自我达到了50%的“自我”反应(t = 3.142;P < 0.01)。不同感觉模态之间的自我识别偏差未发现显著相关性(τ = -0.165,P = 0.204)。自闭症特质得分较高的个体对自我声音的识别偏差更高(τ AQ = 0.301,P = 0.008)。自我面部识别偏差与自闭症特质之间未观察到这种相关性(τ AQ = -0.020,P = 0.438)。
我们的数据表明,身体自我表征的识别偏差在不同感觉模态之间没有关联。此外,自闭症特质较高的个体能够更好地将自我与其他声音区分开来,但在自我面部识别上未观察到这种关系。自闭症特质较高的个体在听觉领域中自我与他人的重叠范围较窄,这可能是由于自闭症患者通常对听觉刺激的感知加工增强所致。