Demographic reporting and phenotypic exclusion in fNIRS.
Demographic reporting and phenotypic exclusion in fNIRS.
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DOI：
10.3389/fnins.2023.1086208
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发表时间：
2023
影响因子：
4.3
通讯作者：
Wood, Sossena
中科院分区：
文献类型：
--
作者：
Kwasa, Jasmine;Peterson, Hannah M.;Karrobi, Kavon;Jones, Lietsel;Parker, Termara;Nickerson, Nia;Wood, Sossena
功能性近红外光谱（fNIRS）由于其便携性和低成本而有望成为一种领先的非侵入性神经成像方法。然而，人们对其对所有肤色和头发类型的包容性越来越担心（Parker 和 Ricard，2022；Webb 等人，2022）。功能性 NIRS 依赖于发光光极与头皮的直接接触，而较长、较黑、尤其是卷发的头发可能会更多地阻挡头皮。此外，近红外光可能会被黑色素减弱，而 fNIRS 硬件和分析方法均未考虑到这一点。最近的研究表明，在脑电图等其他模式中忽视这些考虑因素会导致临床和研究文献中不成比例地排除具有这些表型的个体，尤其是黑人（Choy，2020；Bradford 等，2022；Louis 等，2023）。在本文中，我们试图确定（Jöbsis，1977）生物医学光学开发人员和研究人员是否报告了肤色和头发纹理之间的 fNIRS 性能差异，（2a）fNIRS 神经科学从业者在他们的文章中报告了表型和人口统计详细信息，因此，（2b）是在 EEG 中发现的类似参与者排除模式也存在于 fNIRS 文献中。我们对顶级生物医学光学和人类神经科学期刊进行了文献综述，表明人口统计和表型报告在 fNIRS 开发和神经科学应用中都不受欢迎。最后，我们向 fNIRS 社区提出了一系列建议，包括黑人研究人员正面解决这些问题的例子、fNIRS 研究人员的包容性最佳实践，以及向资助和监管机构提出的建议，以实现 fNIRS 及其他领域的包容性神经科学事业。
Functional near-infrared spectroscopy (fNIRS) promises to be a leading non-invasive neuroimaging method due to its portability and low cost. However, concerns are rising over its inclusivity of all skin tones and hair types (Parker and Ricard, 2022, Webb et al., 2022). Functional NIRS relies on direct contact of light-emitting optodes to the scalp, which can be blocked more by longer, darker, and especially curlier hair. Additionally, NIR light can be attenuated by melanin, which is accounted for in neither fNIRS hardware nor analysis methods. Recent work has shown that overlooking these considerations in other modalities like EEG leads to the disproportionate exclusion of individuals with these phenotypes—especially Black people—in both clinical and research literature (Choy, 2020; Bradford et al., 2022; Louis et al., 2023). In this article, we sought to determine if (Jöbsis, 1977) biomedical optics developers and researchers report fNIRS performance variability between skin tones and hair textures, (2a) fNIRS neuroscience practitioners report phenotypic and demographic details in their articles, and thus, (2b) is a similar pattern of participant exclusion found in EEG also present in the fNIRS literature. We present a literature review of top Biomedical Optics and Human Neuroscience journals, showing that demographic and phenotypic reporting is unpopular in both fNIRS development and neuroscience applications. We conclude with a list of recommendations to the fNIRS community including examples of Black researchers addressing these issues head-on, inclusive best practices for fNIRS researchers, and recommendations to funding and regulatory bodies to achieve an inclusive neuroscience enterprise in fNIRS and beyond.
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DOI：
10.1111/cts.12285
发表时间：
2015-10
期刊：
Clinical and translational science
影响因子：
--
作者：
Otado J;Kwagyan J;Edwards D;Ukaegbu A;Rockcliffe F;Osafo N
通讯作者：
Osafo N
影响因子：
3.4
作者：
Khan B;Wildey C;Francis R;Tian F;Delgado MR;Liu H;Macfarlane D;Alexandrakis G
通讯作者：
Alexandrakis G
影响因子：
3.6
作者：
Loussouarn, Genevieve;Garcel, Anne-Lise;de la Mettrie, Roland
通讯作者：
de la Mettrie, Roland
影响因子：
4.3
作者：
Dancy, BL;Wilbur, J;Barnes-Boyd, C
通讯作者：
Barnes-Boyd, C
影响因子：
5.7
作者：
Bickler, Philip E.;Feiner, John R.;Rollins, Mark D.
通讯作者：
Rollins, Mark D.