偏侧性
体感系统
神经科学
静息状态功能磁共振成像
功能连接
神经影像学
心理学
功能磁共振成像
大脑定位
听力学
医学
物理医学与康复
作者
David M. Niddam,Shuu‐Jiun Wang,Shang‐Yueh Tsai
出处
期刊:Pain
[Ovid Technologies (Wolters Kluwer)]
日期:2020-09-14
卷期号:162 (3): 846-855
被引量:27
标识
DOI:10.1097/j.pain.0000000000002074
摘要
Abstract The primary somatosensory cortex (SI) is a critical part of the neural substrate underlying interindividual differences in pain sensitivity. Here, we investigated whether resting-state functional connectivity, gray matter density (GMD), and GABA and Glx (glutamate and glutamine) levels of the sensorimotor cortices were related to pain thresholds and whether such imaging measures could predict high and low pain sensitivity. Functional, structural, and spectroscopic magnetic resonance data were obtained from 48 healthy participants together with pain thresholds of the right index finger. Left and right sensorimotor networks (SMN) were extracted by means of independent component analysis, and GMD was measured within the combined SMN by means of voxel-based morphometry. Spectroscopic data were acquired from the bilateral sensorimotor cortices. Within the left SMN, functional connectivity to the right SI correlated positively with pain thresholds. In addition, GMD in the left SI and the GABA laterality index correlated positively with pain thresholds. A positive correlation was also found between the GABA laterality index and the left SMN connectivity to the right SI. Finally, the above mentioned functional connectivity and GMD measures could correctly predict high and low pain sensitivity in 83.7% of the study population. In summary, we showed that interindividual differences in pain sensitivity were related to the resting-state functional connectivity, interhemispheric GABA tone, and GMD of the sensorimotor cortices. Furthermore, high and low pain sensitivity could be predicted with high accuracy using imaging measures from the primary sensorimotor cortices.
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