注意力图谱虚拟现实平台映射单侧空间忽略患者的三维(3D)注意力:一项方案。

IF 4 2区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Language Teaching Pub Date : 2023-12-01 Epub Date: 2022-05-30 DOI:10.1017/BrImp.2022.15
Michael Francis Norwood, David Ross Painter, Chelsea Hannah Marsh, Connor Reid, Trevor Hine, Daniel S Harvie, Susan Jones, Kelly Dungey, Ben Chen, Marilia Libera, Leslie Gan, Julie Bernhardt, Elizabeth Kendall, Heidi Zeeman
{"title":"注意力图谱虚拟现实平台映射单侧空间忽略患者的三维(3D)注意力:一项方案。","authors":"Michael Francis Norwood, David Ross Painter, Chelsea Hannah Marsh, Connor Reid, Trevor Hine, Daniel S Harvie, Susan Jones, Kelly Dungey, Ben Chen, Marilia Libera, Leslie Gan, Julie Bernhardt, Elizabeth Kendall, Heidi Zeeman","doi":"10.1017/BrImp.2022.15","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Deficits in visuospatial attention, known as neglect, are common following brain injury, but underdiagnosed and poorly treated, resulting in long-term cognitive disability. In clinical settings, neglect is often assessed using simple pen-and-paper tests. While convenient, these cannot characterise the full spectrum of neglect. This protocol reports a research programme that compares traditional neglect assessments with a novel virtual reality attention assessment platform: <i>The Attention Atlas (AA).</i></p><p><strong>Methods/design: </strong>The AA was codesigned by researchers and clinicians to meet the clinical need for improved neglect assessment. The AA uses a visual search paradigm to map the attended space in three dimensions and seeks to identify the optimal parameters that best distinguish neglect from non-neglect, and the spectrum of neglect, by providing near-time feedback to clinicians on system-level behavioural performance. A series of experiments will address procedural, scientific, patient, and clinical feasibility domains.</p><p><strong>Results: </strong>Analyses focuses on descriptive measures of reaction time, accuracy data for target localisation, and histogram-based raycast attentional mapping analysis; which measures the individual's orientation in space, and inter- and intra-individual variation of visuospatial attention. We will compare neglect and control data using parametric between-subjects analyses. We present example individual-level results produced in near-time during visual search.</p><p><strong>Conclusions: </strong>The development and validation of the AA is part of a new generation of translational neuroscience that exploits the latest advances in technology and brain science, including technology repurposed from the consumer gaming market. This approach to rehabilitation has the potential for highly accurate, highly engaging, personalised care.</p>","PeriodicalId":47770,"journal":{"name":"Language Teaching","volume":"46 1","pages":"548-567"},"PeriodicalIF":4.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The attention atlas virtual reality platform maps three-dimensional (3D) attention in unilateral spatial neglect patients: a protocol.\",\"authors\":\"Michael Francis Norwood, David Ross Painter, Chelsea Hannah Marsh, Connor Reid, Trevor Hine, Daniel S Harvie, Susan Jones, Kelly Dungey, Ben Chen, Marilia Libera, Leslie Gan, Julie Bernhardt, Elizabeth Kendall, Heidi Zeeman\",\"doi\":\"10.1017/BrImp.2022.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Deficits in visuospatial attention, known as neglect, are common following brain injury, but underdiagnosed and poorly treated, resulting in long-term cognitive disability. In clinical settings, neglect is often assessed using simple pen-and-paper tests. While convenient, these cannot characterise the full spectrum of neglect. This protocol reports a research programme that compares traditional neglect assessments with a novel virtual reality attention assessment platform: <i>The Attention Atlas (AA).</i></p><p><strong>Methods/design: </strong>The AA was codesigned by researchers and clinicians to meet the clinical need for improved neglect assessment. The AA uses a visual search paradigm to map the attended space in three dimensions and seeks to identify the optimal parameters that best distinguish neglect from non-neglect, and the spectrum of neglect, by providing near-time feedback to clinicians on system-level behavioural performance. A series of experiments will address procedural, scientific, patient, and clinical feasibility domains.</p><p><strong>Results: </strong>Analyses focuses on descriptive measures of reaction time, accuracy data for target localisation, and histogram-based raycast attentional mapping analysis; which measures the individual's orientation in space, and inter- and intra-individual variation of visuospatial attention. We will compare neglect and control data using parametric between-subjects analyses. We present example individual-level results produced in near-time during visual search.</p><p><strong>Conclusions: </strong>The development and validation of the AA is part of a new generation of translational neuroscience that exploits the latest advances in technology and brain science, including technology repurposed from the consumer gaming market. This approach to rehabilitation has the potential for highly accurate, highly engaging, personalised care.</p>\",\"PeriodicalId\":47770,\"journal\":{\"name\":\"Language Teaching\",\"volume\":\"46 1\",\"pages\":\"548-567\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Language Teaching\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1017/BrImp.2022.15\",\"RegionNum\":2,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/5/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Language Teaching","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1017/BrImp.2022.15","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/5/30 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0

摘要

背景:视觉空间注意力缺陷(即忽视)是脑损伤后的常见症状,但诊断不足,治疗效果不佳,导致长期认知残疾。在临床环境中,通常使用简单的纸笔测试来评估忽视。这些测试虽然方便,但无法全面描述忽视的特征。本方案报告了一项研究计划,该计划将传统的忽视评估与新型虚拟现实注意力评估平台进行了比较:方法/设计:方法/设计:AA 是由研究人员和临床医生共同设计的,旨在满足改进忽视评估的临床需求。AA 使用视觉搜索范式来绘制三维注意空间图,并通过向临床医生提供系统级行为表现的近时反馈,来确定最能区分忽视与非忽视的最佳参数以及忽视的范围。一系列实验将涉及程序、科学、患者和临床可行性等领域:分析的重点是反应时间的描述性测量、目标定位的准确性数据以及基于直方图的光线投射注意力映射分析;该分析可测量个体在空间中的方位以及视觉空间注意力的个体间和个体内差异。我们将使用参数化的主体间分析来比较忽视和对照数据。我们将举例说明在视觉搜索过程中产生的近实时个体水平结果:AA 的开发和验证是新一代转化神经科学的一部分,它利用了技术和脑科学的最新进展,包括从消费游戏市场重新利用的技术。这种康复方法有望实现高度准确、高度参与和个性化的护理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The attention atlas virtual reality platform maps three-dimensional (3D) attention in unilateral spatial neglect patients: a protocol.

Background: Deficits in visuospatial attention, known as neglect, are common following brain injury, but underdiagnosed and poorly treated, resulting in long-term cognitive disability. In clinical settings, neglect is often assessed using simple pen-and-paper tests. While convenient, these cannot characterise the full spectrum of neglect. This protocol reports a research programme that compares traditional neglect assessments with a novel virtual reality attention assessment platform: The Attention Atlas (AA).

Methods/design: The AA was codesigned by researchers and clinicians to meet the clinical need for improved neglect assessment. The AA uses a visual search paradigm to map the attended space in three dimensions and seeks to identify the optimal parameters that best distinguish neglect from non-neglect, and the spectrum of neglect, by providing near-time feedback to clinicians on system-level behavioural performance. A series of experiments will address procedural, scientific, patient, and clinical feasibility domains.

Results: Analyses focuses on descriptive measures of reaction time, accuracy data for target localisation, and histogram-based raycast attentional mapping analysis; which measures the individual's orientation in space, and inter- and intra-individual variation of visuospatial attention. We will compare neglect and control data using parametric between-subjects analyses. We present example individual-level results produced in near-time during visual search.

Conclusions: The development and validation of the AA is part of a new generation of translational neuroscience that exploits the latest advances in technology and brain science, including technology repurposed from the consumer gaming market. This approach to rehabilitation has the potential for highly accurate, highly engaging, personalised care.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Language Teaching
Language Teaching Multiple-
CiteScore
7.10
自引率
2.80%
发文量
46
期刊介绍: Language Teaching is the essential research resource for language professionals providing a rich and expert overview of research in the field of second-language teaching and learning. It offers critical survey articles of recent research on specific topics, second and foreign languages and countries, and invites original research articles reporting on replication studies and meta-analyses. The journal also includes regional surveys of outstanding doctoral dissertations, topic-based research timelines, theme-based research agendas, recent plenary conference speeches, and research-in-progress reports. A thorough peer-reviewing procedure applies to both the commissioned and the unsolicited articles.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信