摘要
自我参照(self-reference,或自我参照加工)指人们加工与自己相关的信息时的认知过程。认知神经科学领域对“自我参照”进行诸多研究以理解人类自我认知的神经基础。但是,“自我参照”一词在不同研究中是否表征着相同的心理过程?这一根本问题鲜受关注。本研究尝试初步建立自我参照的本体论数据集以检验该问题。使用规范化流程系统地检索文献并筛选文章,随后两位独立的编码者对纳入文章在行为和神经层面对自我参照的操作化定义进行编码并标准化,形成“自我参照的神经成像认知本体论数据集”。本数据集来自66篇神经成像论文,包括行为与神经层面对自我参照的操作化定义(以CSV文件格式保存)、不同操作化定义下自我参照所激活大脑区域的坐标数据(以BrainMap格式保存)、说明手册。数据编码的一致性分析表明,编码结果可靠。与自动化元分析数据库Neurosynth相比,本数据集的论文筛选更加精准,且能够比较自我参照的不同操作化定义所激活脑区的异同,为理解自我参照的神经基础提供更精确的结果。本数据集为深入理解人类自我认知的神经机制提供基础,也为其他类似的元研究数据集的创建提供参考,促进认知本体论的研究。
Self-reference(or self-referential processing)refers to the cognitive processes underlying selfrelated information processing.It is widely studied in cognitive neuroscience to better understand the neural basis of self-cognition of human beings.However,does the term“self-reference”mean the same psychological processes across studies?This fundamental question has been largely disregarded and has not received the attention it deserves.To fill the gap,we built an ontological dataset based on neuroimaging studies of self-reference.We searched the literature and screened the articles following a standard protocol.Then,two independent coders extracted data and standardized operationalizations of self-reference on both behavioral and neural levels,resulting in a cognitive ontological dataset for neuroimaging studies of selfreference.This dataset consists of operationalizations of self-reference(in CSV file format)from 66 neuroimaging articles,coordinates data of brain areas activated by self-reference(in BrainMap format),and corresponding codebooks.The inter-rater reliability analysis indicates that the coding process exhibits an exceptional level of quality.Compared with automatic meta-analytical platforms,i.e.,Neurosynth,the current dataset provides a fine-grained granularity in article selection,which allows the comparison of brain regions activated by different operationalizations of self-reference.This dataset lays a foundation for the understanding of neural mechanisms underlying self-cognition.It may also facilitate the study of cognitive ontology by serving as an exemplary model for the creation of similar metascience datasets.
作者
孙淑婷
王楠
温佳慧
胡传鹏
SUN Shuting;WANG Nan;WEN Jiahui;HU Chuanpeng(School of Psychology,Nanjing Normal University,Nanjing 210024,P.R.China;School of Foreign Languages and Cultures,Nanjing Normal University,Nanjing 210024,P.R.China)
