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Numerical working memory alters alpha-beta oscillations and connectivity in the parietal cortices.
Human Brain Mapping ( IF 4.8 ) Pub Date : 2020-05-27 , DOI: 10.1002/hbm.25043
Sam M Koshy 1 , Alex I Wiesman 1, 2, 3 , Amy L Proskovec 1, 4 , Christine M Embury 1, 3, 4 , Mikki D Schantell 1, 2, 3 , Jacob A Eastman 1, 2, 3 , Elizabeth Heinrichs-Graham 1, 2, 3 , Tony W Wilson 1, 2, 3
Affiliation  

Although the neural bases of numerical processing and memory have been extensively studied, much remains to be elucidated concerning the spectral and temporal dynamics surrounding these important cognitive processes. To further this understanding, we employed a novel numerical working memory paradigm in 28 young, healthy adults who underwent magnetoencephalography (MEG). The resulting data were examined in the time‐frequency domain prior to image reconstruction using a beamformer. Whole‐brain, spectrally‐constrained coherence was also employed to determine network connectivity. In response to the numerical task, participants exhibited robust alpha/beta oscillations in the bilateral parietal cortices. Whole‐brain statistical comparisons examining the effect of numerical manipulation during memory‐item maintenance revealed a difference centered in the right superior parietal cortex, such that oscillatory responses during numerical manipulation were significantly stronger than when no manipulation was necessary. Additionally, there was significantly reduced cortico‐cortical coherence between the right and left superior parietal regions during the manipulation compared to the maintenance trials, indicating that these regions were functioning more independently when the numerical information had to be actively processed. In sum, these results support previous studies that have implicated the importance of parietal regions in numerical processing, but also provide new knowledge on the spectral, temporal, and network dynamics that serve this critical cognitive function during active working memory maintenance.

中文翻译:

数字工作记忆改变了顶叶皮质的 alpha-beta 振荡和连通性。

尽管数值处理和记忆的神经基础已被广泛研究,但关于围绕这些重要认知过程的频谱和时间动态仍有许多需要阐明。为了进一步理解,我们在 28 名接受脑磁图 (MEG) 的年轻健康成年人中采用了一种新的数字工作记忆范式。在使用波束形成器重建图像之前,在时频域中检查所得数据。还采用全脑、谱约束相干性来确定网络连通性。为了响应数值任务,参与者在双侧顶叶皮质中表现出强大的 alpha/beta 振荡。全脑统计比较检查记忆项目维持期间数值操作的影响,揭示了以右侧上顶叶皮层为中心的差异,因此数值操作期间的振荡反应比不需要操作时明显更强。此外,与维持试验相比,在操作过程中左右上顶叶区域之间的皮质皮质一致性显着降低,表明当必须积极处理数字信息时,这些区域的功能更加独立。总之,这些结果支持先前的研究,这些研究暗示了顶叶区域在数值处理中的重要性,但也提供了关于光谱、时间、
更新日期:2020-05-27
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