EEG/ERP as a pragmatic method to expand the reach of infant-toddler neuroimaging in HBCD: Promises and challenges.

EEG/ERP as a pragmatic method to expand the reach of infant-toddler neuroimaging in HBCD: Promises and challenges.
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DOI:
10.1016/j.dcn.2021.100988
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发表时间:
2021-10
影响因子:
4.7
通讯作者:
Wakschlag L
Wakschlag L
中科院分区:
医学1区
文献类型:
--
作者:
Norton ES;MacNeill LA;Harriott EM;Allen N;Krogh-Jespersen S;Smyser CD;Rogers CE;Smyser TA;Luby J;Wakschlag L

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虽然电生理测量(脑电和事件相关电位)为MRI提供了补充信息,并为研究婴幼儿提供了各种优势,但这些测量尚未被纳入神经发育的大型队列研究。该综述总结了可用于健康大脑和认知发展(HBCD)研究的脑电和事件相关电位测量的类型,以及在这方面的前景和挑战。首先,我们简要概述了EEG/ERP在研究大脑发育中的应用,并以静息或基线EEG测量以及ERP失配负波(MMN)为样本讨论了样本发现。然后我们讨论EEG/ERP的承诺,如可行性,同时平衡挑战,如确保不同头发类型的不同儿童的良好信号质量。然后,我们描述了我们小组正在进行的多点EEG数据协调。我们讨论了配准的过程,并提供了包括300多名婴幼儿在内的不同样本的静息状态脑电数据和听觉ERP MMN的初步可用性数据。最后,我们为HBCD研究和其他神经发育研究提供了建议和考虑。
Though electrophysiological measures (EEG and ERP) offer complementary information to MRI and a variety of advantages for studying infants and young children, these measures have not yet been included in large cohort studies of neurodevelopment. This review summarizes the types of EEG and ERP measures that could be used in the HEALthy Brain and Cognitive Development (HBCD) study, and the promises and challenges in doing so. First, we provide brief overview of the use of EEG/ERP for studying the developing brain and discuss exemplar findings, using resting or baseline EEG measures as well as the ERP mismatch negativity (MMN) as exemplars. We then discuss the promises of EEG/ERP such as feasibility, while balancing challenges such as ensuring good signal quality in diverse children with different hair types. We then describe an ongoing multi-site EEG data harmonization from our groups. We discuss the process of alignment and provide preliminary usability data for both resting state EEG data and auditory ERP MMN in diverse samples including over 300 infants and toddlers. Finally, we provide recommendations and considerations for the HBCD study and other studies of neurodevelopment.
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