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个体在双任务工作记忆中的差异的神经相关因素及其与流体智力的关系。

Neural correlates of individual variation in two-back working memory and the relationship with fluid intelligence.

机构信息

Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China.

Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.

出版信息

Sci Rep. 2021 May 11;11(1):9980. doi: 10.1038/s41598-021-89433-8.

Abstract

Working memory has been examined extensively using the N-back task. However, less is known about the neural bases underlying individual variation in the accuracy rate (AR) and reaction time (RT) as metrics of N-back performance. Whereas AR indexes the overall performance, RT may more specifically reflect the efficiency in updating target identify. Further, studies have associated fluid intelligence (Gf) with working memory, but the cerebral correlates shared between Gf and N-back performance remain unclear. We addressed these issues using the Human Connectome Project dataset. We quantified the differences in AR (critical success index or CSI) and RT between 2- and 0-backs (CSI and RT) and identified the neural correlates of individual variation in CSI, RT, and Gf, as indexed by the number of correct items scored in the Raven's Standard Progressive Matrices (RSPM) test. The results showed that CSI and RT were negatively correlated, suggesting that a prolonged response time did not facilitate accuracy. At voxel p < 0.05, FWE-corrected, the pre-supplementary motor area (preSMA), bilateral frontoparietal cortex (biFPC) and right anterior insula (rAI) showed activities in negative correlation with CSI and positive correlation with RT. In contrast, a cluster in the dorsal anterior cingulate cortex (dACC) bordering the SMA showed activities in positive correlation with CSI and negative correlation with RT. Further, path analyses showed a significant fit of the model dACC → RT → CSI suggesting a critical role of target switching in determining performance accuracy. Individual variations in RT and Gf were positively correlated, although the effect size was small (f = 0.0246). RT and Gf shared activities both in positive correlation with the preSMA, biFPC, rAI, and dorsal precuneus. These results together suggest inter-related neural substrates of individual variation in N-back performance and highlight a complex relationship in the neural processes supporting 2-back and RSPM performance.

摘要

工作记忆一直是通过 N-back 任务进行广泛研究的。然而,对于作为 N-back 表现指标的准确性(AR)和反应时间(RT)的个体差异的神经基础知之甚少。虽然 AR 指标整体表现,但 RT 可能更具体地反映了更新目标身份的效率。此外,研究已经将流体智力(Gf)与工作记忆相关联,但 Gf 和 N-back 表现之间共享的大脑相关性尚不清楚。我们使用人类连接组计划数据集解决了这些问题。我们量化了 2- 和 0-回(CSI 和 RT)之间 AR(关键成功指数或 CSI)和 RT 的差异,并确定了 CSI、RT 和 Gf 个体差异的神经相关性,Gf 由在 Raven 的标准渐进矩阵(RSPM)测试中正确得分的项目数量索引。结果表明 CSI 和 RT 呈负相关,表明响应时间延长不会提高准确性。在体素 p < 0.05,FWE 校正下,辅助运动前区(preSMA)、双侧额顶叶皮层(biFPC)和右侧前岛叶(rAI)的活动与 CSI 呈负相关,与 RT 呈正相关。相比之下,在 SMA 边界的背侧前扣带皮层(dACC)中的一个簇的活动与 CSI 呈正相关,与 RT 呈负相关。此外,路径分析表明模型 dACC→RT→CSI 的拟合度显著,表明目标切换在确定性能准确性方面起着关键作用。RT 和 Gf 的个体差异呈正相关,尽管效应量较小(f=0.0246)。RT 和 Gf 都与 preSMA、biFPC、rAI 和背侧楔前叶呈正相关。这些结果共同表明 N-back 表现个体差异的神经基础相互关联,并强调了支持 2-back 和 RSPM 表现的神经过程之间的复杂关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ad0/8113462/ef4707423ddf/41598_2021_89433_Fig1_HTML.jpg

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