Pain sensitivity and the primary sensorimotor cortices: a multimodal neuroimaging study

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)]
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
缘分完成签到,获得积分10
刚刚
liuweiwei完成签到 ,获得积分10
刚刚
吉吉国王完成签到 ,获得积分10
1秒前
行萱完成签到 ,获得积分10
2秒前
皮皮完成签到,获得积分20
2秒前
生动白开水完成签到,获得积分10
4秒前
cookie完成签到,获得积分10
5秒前
阿巴完成签到 ,获得积分10
5秒前
GD完成签到,获得积分10
5秒前
善良曲奇完成签到 ,获得积分10
7秒前
zzx完成签到,获得积分10
7秒前
不过尔尔完成签到 ,获得积分10
7秒前
老迟到的土豆完成签到 ,获得积分10
8秒前
wjswift完成签到,获得积分10
9秒前
zy大章鱼完成签到,获得积分10
9秒前
bill应助胡质斌采纳,获得10
9秒前
文静醉易完成签到,获得积分10
9秒前
MM完成签到,获得积分10
11秒前
爱听歌寄云完成签到 ,获得积分10
13秒前
halona完成签到,获得积分10
14秒前
gouyanju完成签到,获得积分10
14秒前
骑猪看日落完成签到,获得积分10
15秒前
15秒前
做自己的太阳应助mmssdd采纳,获得10
15秒前
还单身的笑翠完成签到 ,获得积分10
16秒前
方便面条子完成签到 ,获得积分10
16秒前
17秒前
YangSY完成签到,获得积分10
17秒前
小妮完成签到 ,获得积分10
19秒前
共享精神应助健忘的千凡采纳,获得10
19秒前
20秒前
宋北北完成签到,获得积分10
20秒前
Annie完成签到 ,获得积分10
21秒前
111发布了新的文献求助10
22秒前
labordoc完成签到,获得积分10
23秒前
雪白的夜香完成签到,获得积分10
23秒前
whatever发布了新的文献求助200
23秒前
犹豫小海豚完成签到,获得积分10
23秒前
x1完成签到,获得积分10
23秒前
风趣的惜天完成签到 ,获得积分10
24秒前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
叶剑英与华南分局档案史料 500
Foreign Policy of the French Second Empire: A Bibliography 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3146969
求助须知:如何正确求助?哪些是违规求助? 2798221
关于积分的说明 7827159
捐赠科研通 2454808
什么是DOI,文献DOI怎么找? 1306480
科研通“疑难数据库(出版商)”最低求助积分说明 627788
版权声明 601565