Reduced integrity of white matter fiber tracts connecting frontal and posterior sites are associated with a higher propensity to experience meaningful coincidences

IF 4.5 2区医学 Q1 NEUROIMAGING

NeuroImage Pub Date : 2025-09-20 DOI:10.1016/j.neuroimage.2025.121480

Christian Rominger , Karl Koschutnig , Andreas Fink , Corinna M. Perchtold-Stefan

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引用次数: 0

Abstract

The propensity to experience meaningful patterns in random arrangements and unrelated events is a personality trait with relationships to perceptual alterations and decreased working memory capacity. This study investigated the relationship between the propensity to experience meaningful coincidences and white matter fiber tracts (voxel-based), especially those connecting frontal and (temporal) posterior cortical areas. We studied this in a comparatively large sample of n = 101 participants and found a reduced integrity of white matter (i.e., lower quantitative anisotropy [QA]) in people experiencing more meaningful coincidences (FDR corrected p < 0.001). The associative fiber tracts connecting the frontal and posterior areas (that is, inferior fronto-occipital fasciculus), as well as the commissural fiber tracts connecting the regions of the left and right brain, showed the strongest negative associations. These structural characteristics of the coincidence perceiver’s brain are in line with the hypothesis that reduced inhibitory control (over sensory processes) and working memory deficits are the main reason why some people perceive more meaningful coincidences than others.

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连接额叶和后叶的白质纤维束完整性的降低与经历有意义的巧合的更高倾向有关。

在随机安排和不相关的事件中体验有意义模式的倾向是一种与知觉改变和工作记忆容量下降有关的人格特征。本研究调查了经历有意义的巧合的倾向与白质纤维束（基于体素）之间的关系，特别是连接额叶和（颞）后皮层区域的白质纤维束。我们在一个相对较大的样本（n = 101名参与者）中进行了研究，发现在经历更有意义的巧合的人群中，白质的完整性降低（即，定量各向异性[QA]降低）（FDR校正p < .001）。连接额后部区域的联合纤维束（即额枕下束）以及连接左右脑区域的联合纤维束表现出最强的负相关。巧合感知者大脑的这些结构特征与一种假设是一致的，即抑制控制（对感觉过程的控制）的减少和工作记忆缺陷是一些人比其他人更能感知到有意义的巧合的主要原因。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

NeuroImage 医学-核医学

CiteScore

11.30

自引率

10.50%

发文量

809

审稿时长

63 days

期刊介绍： NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.