自我中心量表得分较高的正常受试者默认模式网络内的权力增强。

Q4 Medicine
Open Neuroimaging Journal Pub Date : 2014-11-19 eCollection Date: 2014-01-01 DOI:10.2174/1874440001408010005
Mark W G Collins, Michael A Persinger
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引用次数: 6

摘要

通过slreta(标准化低分辨率电磁断层扫描)测量了构成默认模式网络(DMN)的主要结构和随机收集的其他结构的综合全局能力,这些年轻的大学志愿者完成了一份包含推断自我中心的子量表的清单。相对于比较区域,自我中心得分较高的受试者在DMN结构中表现出更大的权力。这在自我中心得分最低的个体中没有观察到,DMN和比较结构之间的权力差异在统计上不显著。男性右脑的DMN能力比左脑强,但女性左脑的DMN能力比右脑强。结果与我们的操作隐喻一致,即在DMN内的权力或活动的提升与自我及其认知内容的更大联系有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Enhanced power within the default mode network in normal subjects with elevated scores on an egocentric scale.

Enhanced power within the default mode network in normal subjects with elevated scores on an egocentric scale.

Enhanced power within the default mode network in normal subjects with elevated scores on an egocentric scale.

Integrated global power from the primary structures that composed the Default Mode Network (DMN) and from a random collection of other structures were measured by sLORETA (standardized low-resolution electromagnetic tomography) for young university volunteers who had completed an inventory that contained a subscale by which egocentricity has been inferred. Subjects who exhibited higher scores for egocentricity displayed significantly more power within the DMN structures relative to comparison areas. This was not observed for individuals whose egocentricity scores were lowest where the power differences between the DMN and comparison structures were not significant statistically. DMN power was greater in the right hemisphere than the left for men but greater in the left hemisphere than the right for women. The results are consistent with our operating metaphor that elevation of power or activity within the DMN is associated with greater affiliation with the self and its cognitive contents.

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来源期刊
Open Neuroimaging Journal
Open Neuroimaging Journal Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
0.70
自引率
0.00%
发文量
3
期刊介绍: The Open Neuroimaging Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, and letters in all important areas of brain function, structure and organization including neuroimaging, neuroradiology, analysis methods, functional MRI acquisition and physics, brain mapping, macroscopic level of brain organization, computational modeling and analysis, structure-function and brain-behavior relationships, anatomy and physiology, psychiatric diseases and disorders of the nervous system, use of imaging to the understanding of brain pathology and brain abnormalities, cognition and aging, social neuroscience, sensorimotor processing, communication and learning.
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