Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, 98124 Messina, Italy.
Department of Medicine, Surgery and Dentistry "Medical School of Salerno", University of Salerno, 84084 Baronissi, Italy.
Cereb Cortex. 2021 Oct 22;31(12):5613-5636. doi: 10.1093/cercor/bhab184.
The development of novel techniques for the in vivo, non-invasive visualization and identification of thalamic nuclei has represented a major challenge for human neuroimaging research in the last decades. Thalamic nuclei have important implications in various key aspects of brain physiology and many of them show selective alterations in various neurologic and psychiatric disorders. In addition, both surgical stimulation and ablation of specific thalamic nuclei have been proven to be useful for the treatment of different neuropsychiatric diseases. The present work aimed at describing a novel protocol for histologically guided delineation of thalamic nuclei based on short-tracks track-density imaging (stTDI), which is an advanced imaging technique exploiting high angular resolution diffusion tractography to obtain super-resolved white matter maps. We demonstrated that this approach can identify up to 13 distinct thalamic nuclei bilaterally with very high inter-subject (ICC: 0.996, 95% CI: 0.993-0.998) and inter-rater (ICC:0.981; 95% CI:0.963-0.989) reliability, and that both subject-based and group-level thalamic parcellation show a fair share of similarity to a recent standard-space histological thalamic atlas. Finally, we showed that stTDI-derived thalamic maps can be successfully employed to study structural and functional connectivity of the thalamus and may have potential implications both for basic and translational research, as well as for presurgical planning purposes.
在过去几十年中,开发用于活体、非侵入性可视化和鉴定丘脑核的新技术一直是人类神经影像学研究的主要挑战。丘脑核在大脑生理学的各个关键方面都有重要意义,其中许多在各种神经和精神疾病中都有选择性改变。此外,特定丘脑核的手术刺激和消融已被证明对治疗各种神经精神疾病有效。本研究旨在描述一种基于短轨迹轨迹密度成像(stTDI)的组织学引导丘脑核描绘的新方案,stTDI 是一种利用高角度分辨率扩散轨迹成像来获得超分辨率白质图谱的先进成像技术。我们证明,这种方法可以双侧识别多达 13 个不同的丘脑核,具有非常高的受试者间(ICC:0.996,95%CI:0.993-0.998)和观察者间(ICC:0.981;95%CI:0.963-0.989)可靠性,并且基于受试者和基于组水平的丘脑分割与最近的标准空间组织学丘脑图谱具有相当程度的相似性。最后,我们表明,stTDI 衍生的丘脑图谱可成功用于研究丘脑的结构和功能连接,并且可能对基础和转化研究以及术前规划具有潜在意义。