The Potential of Functional Near-Infrared Spectroscopy (fNIRS) for Motion-Intensive Game Paradigms

功能近红外光谱 篮球 神经影像学 计算机科学 背景(考古学) 任务(项目管理) 人工智能 心理学 神经科学 认知 古生物学 管理 考古 生物 经济 历史 前额叶皮质
作者
Thomas Kanatschnig,Guilherme Wood,Silvia Erika Kober
出处
期刊:Lecture Notes in Computer Science 卷期号:: 91-100 被引量:3
标识
DOI:10.1007/978-3-030-92182-8_9
摘要

Functional near-infrared spectroscopy (fNIRS) is gaining popularity as a non-invasive neuroimaging technique in a broad range of fields, including the context of gaming and serious games. However, the capabilities of fNIRS are still underutilized. FNIRS is less prone to motion artifacts and more portable in comparison to other neuroimaging methods and it is therefore ideal for experimental designs which involve physical activity. In this paper, the goal is to demonstrate the feasibility of fNIRS for the recording of cortical activation during a motion-intensive task, namely basketball dribbling. FNIRS recordings over sensorimotor regions were conducted in a block-design on 20 participants, who dribbled a basketball with their dominant right hand. Signal quality for task-related concentration changes in oxy-Hb and deoxy-Hb has been investigated by means of the contrast-to-noise ratio (CNR). A statistical comparison of average CNR from the fNIRS signal revealed the expected effect of significantly higher CNR over the left as compared to the right sensorimotor region. Our findings demonstrate that fNIRS delivers sufficient signal quality to measure hemispheric activation differences during a motion-intensive motoric task like basketball dribbling and bare indications for future endeavors with fNIRS in less constraint settings.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
地啦啦啦发布了新的文献求助10
1秒前
yuyu发布了新的文献求助10
1秒前
2秒前
4秒前
yao发布了新的文献求助10
5秒前
6秒前
Orange应助朴素的小霸王采纳,获得10
6秒前
Syening应助科研通管家采纳,获得10
6秒前
香蕉觅云应助科研通管家采纳,获得10
6秒前
丘比特应助科研通管家采纳,获得10
6秒前
科研通AI2S应助科研通管家采纳,获得10
6秒前
6秒前
田様应助科研通管家采纳,获得10
7秒前
田様应助科研通管家采纳,获得10
7秒前
molihuakai应助科研通管家采纳,获得10
7秒前
汉堡包应助科研通管家采纳,获得10
7秒前
Syening应助科研通管家采纳,获得10
7秒前
乔伊应助科研通管家采纳,获得10
7秒前
NexusExplorer应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
7秒前
所所应助科研通管家采纳,获得10
7秒前
Leo963852发布了新的文献求助10
7秒前
Syening应助科研通管家采纳,获得10
7秒前
7秒前
Syening应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
搜集达人应助科研通管家采纳,获得10
7秒前
ding应助科研通管家采纳,获得10
7秒前
8秒前
小狮子发布了新的文献求助20
8秒前
cdercder应助淳于黎昕采纳,获得10
8秒前
香蕉觅云应助淳于黎昕采纳,获得10
9秒前
JYXHA发布了新的文献求助10
9秒前
英姑应助雁子采纳,获得10
9秒前
12秒前
12秒前
一只可怜的科研狗完成签到 ,获得积分10
12秒前
高分求助中
Clinical Epidemiology: The Essentials, 6e 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6543490
求助须知:如何正确求助?哪些是违规求助? 8333229
关于积分的说明 17857495
捐赠科研通 5650934
什么是DOI,文献DOI怎么找? 2937010
邀请新用户注册赠送积分活动 1913285
关于科研通互助平台的介绍 1775374