Veldhuizen Maria G, Cecchetto Cinzia, Fjaeldstad Alexander W, Farruggia Michael C, Hartig Renée, Nakamura Yuko, Pellegrino Robert, Yeung Andy W K, Fischmeister Florian Ph S
Department of Anatomy, Faculty of Medicine, Mersin University, Mersin, Turkey.
Department of General Psychology, University of Padova, Padua, Italy.
Front Syst Neurosci. 2022 May 30;16:885304. doi: 10.3389/fnsys.2022.885304. eCollection 2022.
Ecological chemosensory stimuli almost always evoke responses in more than one sensory system. Moreover, any sensory processing takes place along a hierarchy of brain regions. So far, the field of chemosensory neuroimaging is dominated by studies that examine the role of brain regions in isolation. However, to completely understand neural processing of chemosensation, we must also examine interactions between regions. In general, the use of connectivity methods has increased in the neuroimaging field, providing important insights to physical sensory processing, such as vision, audition, and touch. A similar trend has been observed in chemosensory neuroimaging, however, these established techniques have largely not been rigorously applied to imaging studies on the chemical senses, leaving network insights overlooked. In this article, we first highlight some recent work in chemosensory connectomics and we summarize different connectomics techniques. Then, we outline specific challenges for chemosensory connectome neuroimaging studies. Finally, we review best practices from the general connectomics and neuroimaging fields. We recommend future studies to develop or use the following methods we perceive as key to improve chemosensory connectomics: (1) optimized study designs, (2) reporting guidelines, (3) consensus on brain parcellations, (4) consortium research, and (5) data sharing.
生态化学感觉刺激几乎总是会在不止一个感觉系统中引发反应。此外,任何感觉处理都是在一系列脑区中进行的。到目前为止,化学感觉神经成像领域主要是由那些孤立地研究脑区作用的研究主导的。然而,为了完全理解化学感觉的神经处理过程,我们还必须研究各脑区之间的相互作用。一般来说,神经成像领域中连接性方法的使用有所增加,这为视觉、听觉和触觉等物理感觉处理提供了重要的见解。在化学感觉神经成像中也观察到了类似的趋势,然而,这些已有的技术在很大程度上尚未被严格应用于化学感觉的成像研究,从而导致网络层面的见解被忽视。在本文中,我们首先强调化学感觉连接组学方面的一些最新研究工作,并总结不同的连接组学技术。然后,我们概述化学感觉连接组神经成像研究的具体挑战。最后,我们回顾一般连接组学和神经成像领域的最佳实践。我们建议未来的研究开发或使用我们认为对改善化学感觉连接组学至关重要的以下方法:(1)优化的研究设计;(2)报告指南;(3)脑图谱的共识;(4)合作研究;(5)数据共享。