Ray Dipanjan, Roy Dipanjan, Sindhu Brahmdeep, Sharan Pratap, Banerjee Arpan
Cognitive Brain Lab, National Brain Research Centre, Manesar, India.
Department of Psychiatry, Gurgaon Civil Hospital, Gurgaon, India.
Front Psychol. 2017 Sep 28;8:1627. doi: 10.3389/fpsyg.2017.01627. eCollection 2017.
Contemporary mental health practice primarily centers around the neurobiological and psychological processes at the individual level. However, a more careful consideration of interpersonal and other group-level attributes (e.g., interpersonal relationship, mutual trust/hostility, interdependence, and cooperation) and a better grasp of their pathology can add a crucial dimension to our understanding of mental health problems. A few recent studies have delved into the interpersonal behavioral processes in the context of different psychiatric abnormalities. Neuroimaging can supplement these approaches by providing insight into the neurobiology of interpersonal functioning. Keeping this view in mind, we discuss a recently developed approach in functional neuroimaging that calls for a shift from a focus on neural information contained brain space to a multi-brain framework exploring degree of similarity/dissimilarity of neural signals multiple interacting brains. We hypothesize novel applications of quantitative neuroimaging markers like inter-subject correlation that might be able to evaluate the role of interpersonal attributes affecting an individual or a group. Empirical evidences of the usage of these markers in understanding the neurobiology of social interactions are provided to argue for their application in future mental health research.
当代心理健康实践主要围绕个体层面的神经生物学和心理过程展开。然而，更深入地考虑人际及其他群体层面的属性（如人际关系、相互信任/敌意、相互依存和合作），并更好地理解其病理学特征，能够为我们对心理健康问题的理解增添关键维度。最近的一些研究深入探讨了不同精神疾病异常情况下的人际行为过程。神经成像可以通过洞察人际功能的神经生物学来补充这些方法。基于这一观点，我们讨论了功能神经成像中一种最近开发的方法，该方法要求从关注大脑空间中包含的神经信息转向探索多个相互作用大脑的神经信号相似性/差异性程度的多脑框架。我们假设像个体间相关性这样的定量神经成像标记物的新应用可能能够评估人际属性对个体或群体的影响作用。提供了这些标记物在理解社会互动神经生物学方面的使用实证证据，以论证它们在未来心理健康研究中的应用。
