首页> 外文期刊>Brain imaging and behavior >Errors on interrupter tasks presented during spatial and verbal working memory performance are linearly linked to large-scale functional network connectivity in high temporal resolution resting state fMRI
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Errors on interrupter tasks presented during spatial and verbal working memory performance are linearly linked to large-scale functional network connectivity in high temporal resolution resting state fMRI

机译:在空间和口头工作记忆表现期间出现的中断任务错误与高时间分辨率静止状态功能磁共振成像中的大规模功能网络连接线性相关

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摘要

The brain is organized into networks composed of spatially separated anatomical regions exhibiting coherent functional activity over time. Two of these networks (the default mode network, DMN, and the task positive network, TPN) have been implicated in the performance of a number of cognitive tasks. To directly examine the stable relationship between network connectivity and behavioral performance, high temporal resolution functional magnetic resonance imaging (fMRI) data were collected during the resting state, and behavioral data were collected from 15 subjects on different days, exploring verbal working memory, spatial working memory, and fluid intelligence. Sustained attention performance was also evaluated in a task interleaved between resting state scans. Functional connectivity within and between the DMN and TPN was related to performance on these tasks. Decreased TPN resting state connectivity was found to significantly correlate with fewer errors on an interrupter task presented during a spatial working memory paradigm and decreased DMN/TPN anti-correlation was significantly correlated with fewer errors on an interrupter task presented during a verbal working memory paradigm. A trend for increased DMN resting state connectivity to correlate to measures of fluid intelligence was also observed. These results provide additional evidence of the relationship between resting state networks and behavioral performance, and show that such results can be observed with high temporal resolution fMRI. Because cognitive scores and functional connectivity were collected on nonconsecutive days, these results highlight the stability of functional connectivity/cognitive performance coupling.
机译:大脑被组织成由空间分隔的解剖区域组成的网络,这些解剖区域随时间展现出一致的功能活动。这些网络中的两个(默认模式网络DMN和任务肯定网络TPN)已牵涉到许多认知任务的执行中。为了直接检查网络连通性与行为表现之间的稳定关系,在休息状态下收集了高时间分辨率的功能磁共振成像(fMRI)数据,并在不同日期从15位受试者中收集了行为数据,探索了语言工作记忆,空间工作记忆力和流动智力。在休息状态扫描之间交错的任务中,还评估了持续的注意力表现。 DMN和TPN之间以及DMN和TPN之间的功能连接与这些任务的性能有关。发现TPN静止状态连通性降低与在空间工作记忆范式期间出现的中断任务上的错误显着相关,而DMN / TPN反相关性降低与在语言工作记忆范式期间出现的中断任务上的错误显着相关。还观察到了增加DMN静息状态连通性以与流体智能测量值相关的趋势。这些结果提供了休息状态网络与行为表现之间关系的其他证据,并表明可以用高时间分辨率fMRI观察到这种结果。因为认知评分和功能连接是在非连续日收集的,所以这些结果突出了功能连接/认知性能耦合的稳定性。

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