任务切换过程中引起的大脑激活会超出任务范围:将 fMRI 信号与认知相结合的偏最小二乘法相关方法。

IF 3.5 2区 医学 Q1 NEUROIMAGING
Paulina Skolasinska, Shuo Qin, Michelle Voss, Hyun Kyu Lee, Chandramallika Basak
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引用次数: 0

摘要

认知训练产生广泛迁移的一个基本假设是,在训练任务中参与的区域大脑信号与迁移任务相关。然而,目前还不清楚特定认知任务引起的大脑激活是否能推广到其他任务的执行中,尤其是在认知训练大有可为的正常老龄化人群中。在这项大型双部位功能磁共振成像(fMRI)研究中,我们的目的是描述正常衰老过程中任务转换的神经行为相关性,并研究在认知控制过程中与任务转换相关的fMRI-血氧水平依赖性(BOLD)信号是否会泛化到其他执行控制任务和一般认知任务中。因此,我们采用了一种混合阻滞和事件相关的 fMRI 任务切换范式,对 129 名非痴呆老年人(65-85 岁)进行了与多种类型的认知控制相关的脑区研究。这一庞大的数据集为数据驱动的偏最小二乘法相关方法提供了一个独特的机会,以研究与任务切换成本相关的多个 fMRI-BOLD 信号对其他执行控制任务、一般认知和人口特征的普遍性。一些 fMRI 信号的泛化范围超出了扫描任务,而另一些则没有。结果表明,右额中部大脑激活不利于任务切换表现,而额下部和尾状体激活则与fMRI任务切换过程中更快的处理速度有关,但这些区域的激活并不能预测其他执行控制或一般认知任务的表现。然而,fMRI任务期间右侧枕叶外侧皮层激活的BOLD信号可积极预测工作记忆更新任务的表现,而fMRI任务期间脱离的左侧中央后回的BOLD信号则与任务处理速度较慢以及一般认知能力较低有关。这些结果表明,这些 BOLD 信号的普遍性超出了扫描任务的范围。这些研究结果还为衰老的普遍减慢假说提供了证据,因为数据中的大部分变异都是由老年期低处理速度和全局低 BOLD 信号所解释的。由于处理速度与任务切换和其他执行控制任务具有共同的变异性,因此它可能是这些任务之间普遍性的基础。其他结果也支持大脑衰老的去分化假说,因为右额中部激活预示着任务切换表现较差。总之,我们观察到,与 fMRI 任务相关的 BOLD 信号不仅可以泛化到其他执行控制任务的表现中,而且还可以识别出扫描外表现的独特大脑预测因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Brain activations elicited during task-switching generalize beyond the task: A partial least squares correlation approach to combine fMRI signals and cognition

Brain activations elicited during task-switching generalize beyond the task: A partial least squares correlation approach to combine fMRI signals and cognition

An underlying hypothesis for broad transfer from cognitive training is that the regional brain signals engaged during the training task are related to the transfer tasks. However, it is unclear whether the brain activations elicited from a specific cognitive task can generalize to performance of other tasks, esp. in normal aging where cognitive training holds much promise. In this large dual-site functional magnetic resonance imaging (fMRI) study, we aimed to characterize the neurobehavioral correlates of task-switching in normal aging and examine whether the task-switching-related fMRI-blood-oxygen-level-dependent (BOLD) signals, engaged during varieties of cognitive control, generalize to other tasks of executive control and general cognition. We therefore used a hybrid blocked and event-related fMRI task-switching paradigm to investigate brain regions associated with multiple types of cognitive control on 129 non-demented older adults (65–85 years). This large dataset provided a unique opportunity for a data-driven partial least squares–correlation approach to investigate the generalizability of multiple fMRI-BOLD signals associated with task-switching costs to other tasks of executive control, general cognition, and demographic characteristics. While some fMRI signals generalized beyond the scanned task, others did not. Results indicate right middle frontal brain activation as detrimental to task-switching performance, whereas inferior frontal and caudate activations were related to faster processing speed during the fMRI task-switching, but activations of these regions did not predict performance on other tasks of executive control or general cognition. However, BOLD signals from the right lateral occipital cortex engaged during the fMRI task positively predicted performance on a working memory updating task, and BOLD signals from the left post-central gyrus that were disengaged during the fMRI task were related to slower processing speed in the task as well as to lower general cognition. Together, these results suggest generalizability of these BOLD signals beyond the scanned task. The findings also provided evidence for the general slowing hypothesis of aging as most variance in the data were explained by low processing speed and global low BOLD signal in older age. As processing speed shared variance with task-switching and other executive control tasks, it might be a possible basis of generalizability between these tasks. Additional results support the dedifferentiation hypothesis of brain aging, as right middle frontal activations predicted poorer task-switching performance. Overall, we observed that the BOLD signals related to the fMRI task not only generalize to the performance of other executive control tasks, but unique brain predictors of out-of-scanner performance can be identified.

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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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