首页> 外文会议>2015 International Conference on BioSignal Analysis, Processing and Systems >Dynamic features of handwriting and cortico-cortical functional connectivity during basic geometric drawing based on gender
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Dynamic features of handwriting and cortico-cortical functional connectivity during basic geometric drawing based on gender

机译:基于性别的基本几何图形绘制过程中的手写功能和皮质-皮质功能连接的动态特征

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摘要

The aim of the study is to investigate the dynamic features of handwriting and the directional connectivity in brain among young children during basic drawing task. Seven children participated in the study where four of them were female. To exercise motor ability, three different unlined shapes were selected which the subject must gaze and trace on WACOM digitizing tablet. While doing the basic drawing task, brain signals (EEG) were recorded to analyze the information pathway based on partial directed coherence (PDC) method. Result showed that all subjects regardless of gender performed the basic drawing task with preferred rule. Again, regardless of gender, PDC showed that most information sources came from parietal, frontal and occipital areas even-though dynamic features of handwriting (pressure and altitude) showed gender preferences. It is found also that gazing while planning for tracing and actually doing the tracing activity shows almost similar result, i.e. similar sources of information. Based from the pattern of information pathway in the brain among the subjects during gazing, the tracing activity is thought to be well planned. Most of the subjects make use of areas where visual processing, pattern recognition, motor planning and perception midline and route finding are executed during the performances.
机译:本研究的目的是研究基本绘画任务中幼儿笔迹的动态特征和大脑中方向性连接性。七个孩子参加了研究,其中四个是女性。为了锻炼运动能力,选择了三种不同的无衬线形状,受试者必须凝视并在WACOM数字化平板电脑上进行追踪。在执行基本绘图任务时,记录了脑信号(EEG)以基于部分定向相干(PDC)方法分析信息路径。结果表明,所有受试对象,不论性别,均按优先规则执行基本的绘画任务。同样,无论性别,PDC都显示,尽管手写的动态特征(压力和高度)显示出性别偏爱,但大多数信息来源都来自顶叶,额叶和枕叶区域。还发现在计划跟踪和实际进行跟踪活动时的凝视显示几乎相似的结果,即相似的信息源。从凝视对象间大脑中信息通路的模式来看,追踪活动被认为是有计划的。大多数对象都在表演期间使用视觉处理,模式识别,运动计划以及感知中线和路线发现的区域。

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