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An Analytical Study of Mental Rotation Activity Based on Feature Descriptor Patterns

机译:基于特征描述符模式的心理旋转活动的分析研究

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The chief objective of this paper is to investigate the differences in Feature Descriptor patterns during mental rotation of five different objects for both healthy as well as brain diseased subjects. Thus, electroencephalographic (EEG) activity was measured during mental rotation of objects by various angles with respect to its present orientation. Source localization using eLORETA inferred an enhanced activation of pre-frontal and frontal lobe regions during mental rotation activity. Experimental analysis also confirmed maximal activation of lower alpha frequency band while performing this cognitive task. Differential Evolutionary (DE) algorithm has been implemented to select the optimal features which are represented using the Feature Descriptor diagrams. These diagrams infer that the feature patterns are distinct and vary from object to object. Moreover, these patterns orient by 45° for 90° mental rotation and by 75° for 180° mental rotation of the presented objects. However, there exists an inconsistency in the Feature descriptor diagrams for patients suffering from pre-frontal lobe amnesia and Alzheimer's disease. It is also found that these diagrams remain unaffected during mental rotation which infers their incapability to perform such a cognitive task. Hence, this work can be effectively utilized to detect people suffering from memory related disorder.
机译:本文的主要目的是研究健康和脑部疾病受试者在五个不同物体的心理旋转过程中特征描述符模式的差异。因此,脑电图(EEG)活动是在对象进行心理旋转期间相对于其当前方向以各种角度进行测量的。使用eLORETA进行的源定位可以在精神旋转活动中增强额叶前额叶和额叶区的激活。实验分析还证实,在执行此认​​知任务时,可以最大程度地激活较低的α频段。已实施差分进化(DE)算法以选择使用特征描述符图表示的最佳特征。这些图推断出特征模式是不同的,并且随对象的不同而不同。此外,对于所呈现的对象,这些模式针对90°的心理旋转以45°定向,对于180°的智力旋转为75°定向。然而,患有前额叶健忘症和阿尔茨海默氏病的患者的特征描述符图中并不一致。还发现这些图表在精神旋转过程中保持不受影响,这表明它们无法执行这种认知任务。因此,这项工作可以有效地用于检测患有记忆相关疾病的人。

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