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An Empirical Evaluation of Short-Term Memory Retention Using Different High-density EEG Based Brain Connectivity Measures

机译:基于不同的基于脑电图的高密度脑电图短期记忆保留的实证评估

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It is very vital to identify the variations in the brain activations and visualize the extent of interaction between brain areas to come up with logical interpretations regarding neuronal dynamics during higher-order cognitive functioning. Most cognitive functions are based on interactions between neuronal assemblies distributed across different cerebral regions. In this paper, we evaluate two traditional methods (Squared Coherence Spectrum (SCS) and Directed Transfer Function (DTF)) and one novel approach based on information theory (Phase Transfer Entropy (PTE)) based on the extent to which they can depict the information flow between distant brain regions during a standard visual short-term memory task. Results revealed that PTE was able to depict the performance and visualize the information flow better compared to the traditional techniques. These results demonstrate the applicability of functional brain connectivity measures in determining and visualizing higher-order cognitive functions. We plan to extend the use of these measures in assessing the neural underpinnings of executive functions as well.
机译:识别大脑激活的变化并可视化大脑区域之间的相互作用程度以提出关于高阶认知功能期间神经元动力学的逻辑解释,这一点至关重要。大多数认知功能基于分布在不同大脑区域的神经元组件之间的相互作用。在本文中,我们评估了两种传统方法(平方相干谱(SCS)和定向传递函数(DTF)),以及一种基于信息论的新颖方法(相转移熵(PTE)),基于它们可以描述的程度。在标准的视觉短期记忆任务中,远距离大脑区域之间的信息流。结果表明,与传统技术相比,PTE能够更好地描述性能并可视化信息流。这些结果证明了功能性大脑连接性度量在确定和可视化高阶认知功能中的适用性。我们还计划在评估执行功能的神经基础时扩展这些措施的使用。

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