Face tuning in schizophrenia: underwriting brain networks

精神分裂症的面部调整：支持大脑网络

• 批准号: 450096323
• 负责人: Professor Dr. Andreas Jochen Fallgatter
• 金额: --
• 依托单位: Abteilung Allgemeine Psychiatrie und Psychotherapie mit Poliklinik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/450096323?language=en
• 关键词: Face; tuning; schizophrenia; underwriting; brain

Faces represent valuable daily life signals for social cognition, effective interpersonal interaction and non-verbal communication. The project is aimed at investigation of processing of face-like non-face images and underwriting brain networks in schizophrenia (SZ). With this purpose in mind, we intend to use recently created face-like non-face images (such as Face-n-Food and Face-n-Thing displays). The primary advantage of these images is that single components do not explicitly trigger face-specific processing, whereas in images commonly used for investigating face perception (such as photographs or depictions), the mere occurrence of typical cues already implicates face presence. Previous work is mainly restricted to localization of brain regions underlying face processing. The important rationale for this proposal is a desire to uncover the time courses and dynamic topography of underwriting brain networks in typically developing individuals and SZ patients in order to eventually establish a social cognitive profile typical of SZ. The focus of this part of the project will be set on investigation of the links between the face tuning and other social-cognitive abilities such as reading of body and eyes language that constitute a core of social competence as well as on possible communication between brain networks supporting these abilities. Our research concept represents a challenging combination of multimodal brain imaging (fMRI providing for high spatial resolution and MEG providing for high temporal resolution) with visual psychophysics. By using brain imaging along with visual psychophysics, we plan to clarify: (i) whether neural networks underlying face sensitivity are aberrant in SZ, in particular, in the sense of neural communication and functional intra- and interhemispheric brain connectivity; (ii) how differences in behavioral measures of performance relate to possible differences in the underlying brain networks, and (iii) whether alterations in brain connectivity in SZ are sex specific. In addition, we intend to uncover functional division of labor in the key hubs of the social brain, and undertake precise functional mapping of the indispensable components of the social brain, divergence in their functional subdivisions, and their contribution to neuronal communication between the networks underlying face tuning. The outcome will substantially contribute to our understanding of face processing and other social cognitive abilities in SZ.

面孔是社会认知、有效人际互动和非语言交流的重要日常信号。该项目旨在研究精神分裂症（SZ）患者的面部非面部图像处理和承保脑网络。 考虑到这一目的，我们打算使用最近创建的类似人脸的非人脸图像（例如Face-n-Food和Face-n-Thing显示）。这些图像的主要优点是，单个组件不明确触发特定于面部的处理，而在通常用于调查面部感知的图像（如照片或照片）中，仅仅出现典型的线索就已经暗示了面部的存在。 以前的工作主要局限于面部处理的大脑区域的定位。这一建议的重要理由是希望揭示的时间进程和动态地形的承保脑网络在典型的发展中国家的个人和SZ患者，以最终建立一个典型的SZ的社会认知概况。这一部分的重点将放在调查面部调整和其他社会认知能力之间的联系，如阅读身体和眼睛的语言，构成社会能力的核心，以及支持这些能力的大脑网络之间可能的通信。我们的研究概念代表了多模态脑成像（功能磁共振成像提供高空间分辨率和MEG提供高时间分辨率）与视觉心理物理学的挑战性组合。通过使用脑成像沿着视觉心理物理学，我们计划澄清：（i）在SZ中，作为面部敏感性基础的神经网络是否异常，特别是在神经通信和功能性大脑半球内和半球间连接的意义上;（ii）表现的行为测量的差异如何与潜在的大脑网络的可能差异相关，以及（iii）SZ中脑连接的改变是否具有性别特异性。此外，我们打算揭示社会大脑的关键枢纽的功能分工，并进行精确的功能映射的社会大脑的不可或缺的组成部分，在他们的功能细分的分歧，以及他们的贡献的神经元之间的通信网络的基础面调整。这一结果将有助于我们更好地理解深圳人的面孔加工和其他社会认知能力。