Multimodal neuroimaging is increasingly used in neuroscience research, as it overcomes the limitations of individual modalities. One of the most important applications of multimodal neuroimaging is the provision of vital diagnostic data for neuropsychiatric disorders. Multimodal neuroimaging computing enables the visualization and quantitative analysis of the alterations in brain structure and function, and has reshaped how neuroscience research is carried out. Research in this area is growing exponentially, and so it is an appropriate time to review the current and future development of this emerging area. Hence, in this paper, we review the recent advances in multimodal neuroimaging (MRI, PET) and electrophysiological (EEG, MEG) technologies, and their applications to the neuropsychiatric disorders. We also outline some future directions for multimodal neuroimaging where researchers will design more advanced methods and models for neuropsychiatric research.

中文翻译：

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多模态神经影像计算：神经精神疾病应用综述。


多模态神经影像越来越多地用于神经科学研究，因为它克服了个体模态的局限性。多模式神经影像最重要的应用之一是为神经精神疾病提供重要的诊断数据。多模态神经影像计算能够对大脑结构和功能的变化进行可视化和定量分析，并重塑了神经科学研究的开展方式。该领域的研究正在呈指数级增长，因此现在是回顾这一新兴领域当前和未来发展的适当时机。因此，在本文中，我们回顾了多模态神经影像（MRI、PET）和电生理学（EEG、MEG）技术的最新进展及其在神经精神疾病中的应用。我们还概述了多模式神经影像学的一些未来方向，研究人员将为神经精神病学研究设计更先进的方法和模型。