Ecological functional near-infrared spectroscopy in mobile children: using short separation channels to correct for systemic contamination during naturalistic neuroimaging.

IF 4.8 2区 医学 Q1 NEUROSCIENCES
Neurophotonics Pub Date : 2024-10-01 Epub Date: 2024-10-08 DOI:10.1117/1.NPh.11.4.045004
Paola Pinti, Larisa M Dina, Tim J Smith
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引用次数: 0

Abstract

Significance: The advances and miniaturization in functional near-infrared spectroscopy (fNIRS) instrumentation offer the potential to move the classical laboratory-based cognitive neuroscience investigations into more naturalistic settings. Wearable and mobile fNIRS devices also provide a novel child-friendly means to image functional brain activity in freely moving toddlers and preschoolers. Measuring brain activity in more ecologically valid settings with fNIRS presents additional challenges, such as the increased impact of physiological interferences. One of the most popular methods for minimizing such interferences is to regress out short separation channels from the long separation channels [i.e., superficial signal regression (SSR)]. Although this has been extensively investigated in adults, little is known about the impact of systemic changes on the fNIRS signals recorded in children in either classical or novel naturalistic experiments.

Aim: We aim to investigate if extracerebral physiological changes occur in toddlers and preschoolers and whether SSR can help minimize these interferences.

Approach: We collected fNIRS data from 3- to 7-year-olds during a conventional computerized static task and in a dynamic naturalistic task in an immersive virtual reality (VR) cave automatic virtual environment.

Results: Our results show that superficial signal contamination data are present in young children as in adults. Importantly, we find that SSR helps in improving the localization of functional brain activity, both in the computerized task and, to a larger extent, in the dynamic VR task.

Conclusions: Following these results, we formulate suggestions to advance the field of developmental neuroimaging with fNIRS, particularly in ecological settings.

流动儿童的生态功能性近红外光谱:利用短分离通道纠正自然神经成像过程中的系统污染。
意义重大:功能性近红外光谱(fNIRS)仪器的进步和微型化为将传统的实验室认知神经科学研究转移到更自然的环境中提供了可能。可穿戴和移动的 fNIRS 设备也为自由活动的幼儿和学龄前儿童的大脑功能活动成像提供了一种新颖的儿童友好型方法。使用 fNIRS 测量生态学环境中的大脑活动会面临更多挑战,例如生理干扰的影响会增大。最小化此类干扰的最常用方法之一是从长分离通道中回归出短分离通道(即表层信号回归(SSR))。目的:我们旨在研究幼儿和学龄前儿童是否会发生脑外生理变化,以及 SSR 是否有助于最大限度地减少这些干扰:我们收集了 3 至 7 岁儿童在传统计算机化静态任务和沉浸式虚拟现实(VR)洞穴自动虚拟环境动态自然任务中的 fNIRS 数据:结果:我们的研究结果表明,表层信号污染数据在幼儿和成人中都存在。重要的是,我们发现 SSR 有助于改善大脑功能活动的定位,无论是在计算机化任务中,还是在更大程度上的动态 VR 任务中:根据这些结果,我们提出了一些建议,以推进利用 fNIRS 进行发育神经成像的领域,尤其是在生态环境中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neurophotonics
Neurophotonics Neuroscience-Neuroscience (miscellaneous)
CiteScore
7.20
自引率
11.30%
发文量
114
审稿时长
21 weeks
期刊介绍: At the interface of optics and neuroscience, Neurophotonics is a peer-reviewed journal that covers advances in optical technology applicable to study of the brain and their impact on the basic and clinical neuroscience applications.
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