The Role of Demographic and Symbolic Features in Clinical Arabic Graphesthesia Testing

Author:

Muayqil Taim A.,Alanazy Mohammed H.,Al-Herbish Maan J.,Al-Nafisah Mohammed,Halawani Lubna M.,Al-Bader Sakhar S.,Al-Yousef Lujain M.,Aljafen Bandar N.

Abstract

Objective: Graphesthesia is the ability to identify a symbol traced on the skin. Agraphesthesia is the impairment in this ability and is encountered in various disorders of the somatosensory pathways. We aimed to describe the demographic and symbolic features that influence correct recognition of Arabic graphesthesia stimuli in healthy Arabic individuals. Methods: Participants were community dwelling healthy Arabian individuals of 18 years of age or older. Demographic information collected included age, gender, years of education, and hand dominance. Assessment was conducted using a list of 15 symbols drawn in a single stroke while the hands were obscured from vision. Symbols were current letters and numbers from Arabic script. Each participant was exposed to 60 attempts in total in a random order and correct responses were counted. Results: A total of 126 male and female participants were included. On average, men scored less than women (p < 0.0001), older subjects scored less than those below 30 years of age (p = 0.03), and higher years of education resulted in higher scores (p = 0.047) while handedness did not significantly associate with performance. More correct responses were seen for numerical symbols than letters (p < 0.0001). Symbols with unique script were more likely to be correctly identified. Conclusions: Number and letter symbols traced on the palm are identified with varying levels of accuracy when conducted according to our method. Female gender, younger age, and higher education are associated with higher scores. Among the many potential symbolic properties that contribute to recognition, a numeric symbol with a unique script is most likely to be correctly identified.

Publisher

S. Karger AG

Subject

Clinical Neurology,Neurology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3