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用于检测和整合矛盾证据的功能性脑网络。

Functional brain networks underlying detection and integration of disconfirmatory evidence.

作者信息

Lavigne Katie M, Metzak Paul D, Woodward Todd S

机构信息

Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada; BC Mental Health and Addictions Research Institute, Provincial Health Services Authority, Vancouver, BC, Canada.

Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada; BC Mental Health and Addictions Research Institute, Provincial Health Services Authority, Vancouver, BC, Canada.

出版信息

Neuroimage. 2015 May 15;112:138-151. doi: 10.1016/j.neuroimage.2015.02.043. Epub 2015 Feb 28.

DOI:10.1016/j.neuroimage.2015.02.043
PMID:25731997
Abstract

Processing evidence that disconfirms a prior interpretation is a fundamental aspect of belief revision, and has clear social and clinical relevance. This complex cognitive process requires (at minimum) an alerting stage and an integration stage, and in the current functional magnetic resonance imaging (fMRI) study, we used multivariate analysis methodology on two datasets in an attempt to separate these sequentially-activated cognitive stages and link them to distinct functional brain networks. Thirty-nine healthy participants completed one of two versions of an evidence integration experiment involving rating two consecutive animal images, both of which consisted of two intact images of animal faces morphed together at different ratios (e.g., 70/30 bird/dolphin followed by 10/90 bird/dolphin). The two versions of the experiment differed primarily in terms of stimulus presentation and timing, which facilitated functional interpretation of brain networks based on differences in the hemodynamic response shapes between versions. The data were analyzed using constrained principal component analysis for fMRI (fMRI-CPCA), which allows distinct, simultaneously active task-based networks to be separated, and these were interpreted using both temporal (task-based hemodynamic response shapes) and spatial (dominant brain regions) information. Three networks showed increased activity during integration of disconfirmatory relative to confirmatory evidence: (1) a network involved in alerting to the requirement to revise an interpretation, identified as the salience network (dorsal anterior cingulate cortex and bilateral insula); (2) a sensorimotor response-related network (pre- and post-central gyri, supplementary motor area, and thalamus); and (3) an integration network involving rostral prefrontal, orbitofrontal and posterior parietal cortex. These three networks were staggered in their peak activity (alerting, responding, then integrating), but at certain time points (e.g., 17s after trial onset) the hemodynamic responses associated with all three networks were simultaneously active. These findings highlight distinct cognitive processes and corresponding functional brain networks underlying stages of disconfirmatory evidence integration, and demonstrate the power of multivariate and multi-experiment methodology in cognitive neuroscience.

摘要

处理与先前解释相矛盾的证据是信念修正的一个基本方面,并且具有明确的社会和临床意义。这个复杂的认知过程(至少)需要一个警觉阶段和一个整合阶段,在当前的功能磁共振成像(fMRI)研究中,我们对两个数据集使用了多变量分析方法,试图分离这些顺序激活的认知阶段,并将它们与不同的功能性脑网络联系起来。39名健康参与者完成了证据整合实验的两个版本之一,该实验涉及对两张连续的动物图像进行评分,两张图像均由两张以不同比例融合在一起的动物面部完整图像组成(例如,70/30的鸟/海豚,然后是10/90的鸟/海豚)。实验的两个版本主要在刺激呈现和时间安排方面有所不同,这有助于根据版本之间血液动力学反应形状的差异对脑网络进行功能解释。使用功能磁共振成像的约束主成分分析(fMRI-CPCA)对数据进行分析,该方法可以分离出不同的、同时活跃的基于任务的网络,并使用时间(基于任务的血液动力学反应形状)和空间(主要脑区)信息对这些网络进行解释。与确认性证据整合相比,在整合反证期间,有三个网络的活动增加:(1)一个参与提醒需要修正解释的网络,被确定为突显网络(背侧前扣带回皮质和双侧脑岛);(2)一个与感觉运动反应相关的网络(中央前回和中央后回、辅助运动区和丘脑);(3)一个涉及前额叶喙部、眶额叶和顶叶后部皮质的整合网络。这三个网络的峰值活动是错开的(警觉、反应,然后整合),但在某些时间点(例如,试验开始后17秒),与所有三个网络相关的血液动力学反应同时活跃。这些发现突出了反证证据整合阶段背后不同的认知过程和相应的功能性脑网络,并证明了多变量和多实验方法在认知神经科学中的作用。

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