伪连续动脉自旋标记(pCASL)灌注成像量化参数N-Back工作记忆任务中负荷相关的脑活动。

IF 0.2 Q4 LINGUISTICS
Journal of Cognitive Science Pub Date : 2011-04-01
Qihong Zou, Hong Gu, Danny J J Wang, Jia-Hong Gao, Yihong Yang
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引用次数: 0

摘要

利用正电子发射断层扫描(PET)和血氧水平依赖(BOLD)功能磁共振成像(fMRI)广泛研究了N-back工作记忆任务诱导的脑激活和失活及其负荷效应。然而,BOLD fMRI的潜在机制尚不完全清楚,PET成像需要注射放射性示踪剂。本研究采用伪连续动脉自旋标记(pCASL)灌注成像技术,对N-back工作记忆任务中反映脑代谢的生理指标脑血流量(CBF)进行量化。利用pCASL系统研究了N-back工作记忆任务对脑活动的激活和失活,并在定量脑血流的基础上进一步研究了负荷对脑活动的影响。我们的数据显示,在工作记忆任务中,额顶叶皮质、丘脑、尾状体和小脑区域的CBF增加,后扣带皮层和内侧前额叶皮层的CBF减少。大多数激活/失活脑区显示CBF与任务负荷之间的近似线性关系(0、1、2和3回),尽管一些区域显示非线性关系(二次和三次)。本研究中基于cbf的脑激活/失活空间模式和负荷效应与BOLD fMRI和PET技术得到的结果一致。这些结果证明了ASL技术在高认知任务中量化人类大脑活动的可行性,表明其在评估神经精神和神经疾病认知缺陷机制方面的潜在应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantification of Load Dependent Brain Activity in Parametric N-Back Working Memory Tasks using Pseudo-continuous Arterial Spin Labeling (pCASL) Perfusion Imaging.

Brain activation and deactivation induced by N-back working memory tasks and their load effects have been extensively investigated using positron emission tomography (PET) and blood-oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI). However, the underlying mechanisms of BOLD fMRI are still not completely understood and PET imaging requires injection of radioactive tracers. In this study, a pseudo-continuous arterial spin labeling (pCASL) perfusion imaging technique was used to quantify cerebral blood flow (CBF), a well understood physiological index reflective of cerebral metabolism, in N-back working memory tasks. Using pCASL, we systematically investigated brain activation and deactivation induced by the N-back working memory tasks and further studied the load effects on brain activity based on quantitative CBF. Our data show increased CBF in the fronto-parietal cortices, thalamus, caudate, and cerebellar regions, and decreased CBF in the posterior cingulate cortex and medial prefrontal cortex, during the working memory tasks. Most of the activated/deactivated brain regions show an approximately linear relationship between CBF and task loads (0, 1, 2 and 3 back), although several regions show non-linear relationships (quadratic and cubic). The CBF-based spatial patterns of brain activation/deactivation and load effects from this study agree well with those obtained from BOLD fMRI and PET techniques. These results demonstrate the feasibility of ASL techniques to quantify human brain activity during high cognitive tasks, suggesting its potential application to assessing the mechanisms of cognitive deficits in neuropsychiatric and neurological disorders.

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来源期刊
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: Journal of Cognitive Science is an official journal of the International Association for Cognitive Science (IACS, http://ia-cs.org) and published quarterly by the Institute for Cognitive Science at Seoul National University, located in Seoul, Korea. The Association currently consists of member societies of different countries such as Australia, China, Japan, Korea, and European Union. However, paper submission by anyone in the whole world is welcome at any time. Its main concern is to showcase research articles of highest quality and significance within the disciplines of cognitive science, including, but not limited to, philosophy, psychology, linguistics, artificial intelligence, neuroscience, aesthetics, anthropology, and education, insofar as it is deemed to be of interest to those who pursue the study of mind. In particular, we would like to encourage submissions that cross the traditional disciplinary boundaries. The Journal of Cognitive Science (JCS) is published quarterly on 31 March, 30 June, 30 September, 31 December (founded in 2000) as the official journal of International Association for Cognitive Science (IACS) by the Institute for Cognitive Science at Seoul National University. It is a SCOPUS, ESCI, EBSCO, KCI journal. It aims to publish research articles of the highest quality and significance within the disciplines that form cognitive science, including philosophy, psychology, linguistics, artificial intelligence, neuroscience, anthropology, and education for Interdisciplinary Journal. Submissions that cross traditional disciplinary boundaries in either themes or methods are especially encouraged. AI-associated Cognitive Science will be newly reinforced and papers in this area are encouraged to be submitted.
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