Howell Paige, Odermatt Ingrid, Harrison Olivia, Rabe Finn, Meissner Sarah, Freund Patrick, Wenderoth Nicole, Kikkert Sanne
Neural Control of Movement Lab, Swiss Federal Institute of Technology (ETH), Zurich, Switzerland.
Spinal Cord Injury Center Balgrist, University Hospital Zürich, University of Zürich, Zürich, Switzerland.
Imaging Neurosci (Camb). 2025 May 12;3. doi: 10.1162/imag_a_00581. eCollection 2025.
Experimental evidence in animal models indicates that the brainstem plays a major role in sensory modulation. However, mapping functional activity within the human brainstem presents many methodological challenges. These constraints have deterred essential research into human sensory brainstem processing. Here, using a 3T functional Magnetic Resonance Imaging (fMRI) sequence optimised for the brainstem, combined with uni- and multivariate analysis approaches, we investigated the extent to which functional activity of neighbouring somatosensory nuclei can be delineated in the brainstem, thalamus, and primary somatosensory cortex (S1). Whilst traditional univariate approaches offered limited differentiation between adjacent hand and face activation in the brainstem, multivariate classification enabled above-chance decoding of these activity patterns across S1, the thalamus, and the brainstem. Our findings establish a robust methodological approach to explore signal processing within the brainstem and across the entire somatosensory stream. This is a fundamental step towards broadening our understanding of somatosensory processing within humans and determining what changes in sensory integration may occur in clinical populations following sensory deprivation.
动物模型的实验证据表明,脑干在感觉调制中起主要作用。然而,绘制人类脑干内的功能活动存在许多方法上的挑战。这些限制阻碍了对人类感觉脑干处理的重要研究。在这里,我们使用针对脑干优化的3T功能磁共振成像(fMRI)序列,并结合单变量和多变量分析方法,研究了在脑干、丘脑和初级体感皮层(S1)中,相邻体感核的功能活动能够被描绘出来的程度。虽然传统的单变量方法在脑干中相邻的手部和面部激活之间提供的区分有限,但多变量分类能够对S1、丘脑和脑干中的这些活动模式进行高于机会水平的解码。我们的研究结果建立了一种强大的方法来探索脑干内和整个体感流中的信号处理。这是朝着拓宽我们对人类体感处理的理解以及确定感觉剥夺后临床人群中感觉整合可能发生哪些变化迈出的重要一步。