Individually unique dynamics of cortical connectivity reflect the ongoing intensity of chronic pain

慢性疼痛 神经科学 扣带回前部 心理学 眶额皮质 扣带皮质 后顶叶皮质 偏头痛 皮质(解剖学) 岛叶皮质 医学 物理医学与康复 认知 前额叶皮质 中枢神经系统 精神科
作者
Astrid Mayr,Pauline Jahn,Bettina Deak,Anne Stankewitz,Vasudev Devulapally,Viktor Witkovský,Olaf Dietrich,Enrico Schulz
出处
期刊:Pain [Lippincott Williams & Wilkins]
卷期号:163 (10): 1987-1998 被引量:13
标识
DOI:10.1097/j.pain.0000000000002594
摘要

Abstract Chronic pain diseases are characterised by an ongoing and fluctuating endogenous pain, yet it remains to be elucidated how this is reflected by the dynamics of ongoing functional cortical connections. In this study, we investigated the cortical encoding of 20 patients with chronic back pain and 20 chronic migraineurs in 4 repeated fMRI sessions. A brain parcellation approach subdivided the whole brain into 408 regions. Linear mixed-effects models were fitted for each pair of brain regions to explore the relationship between the dynamic cortical connectivity and the observed trajectory of the patients' ratings of fluctuating endogenous pain. Overall, we found that periods of high and increasing pain were predominantly related to low cortical connectivity. The change of pain intensity in chronic back pain was subserved by connections in left parietal opercular regions, right insular regions, as well as large parts of the parietal, cingular, and motor cortices. The change of pain intensity direction in chronic migraine was reflected by decreasing connectivity between the anterior insular cortex and orbitofrontal areas, as well as between the PCC and frontal and anterior cingulate cortex regions. Of interest, the group results were not mirrored by the individual patterns of pain-related connectivity, which rejects the idea of a common neuronal core problem for chronic pain diseases. The diversity of the individual cortical signatures of chronic pain encoding results adds to the understanding of chronic pain as a complex and multifaceted disease. The present findings support recent developments for more personalised medicine.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Candy发布了新的文献求助10
刚刚
Rondab应助xiaosu采纳,获得10
1秒前
CodeCraft应助LJJ采纳,获得10
2秒前
2秒前
SYLH应助科研通管家采纳,获得20
3秒前
所所应助科研通管家采纳,获得10
3秒前
科研通AI5应助科研通管家采纳,获得10
3秒前
张金蝶完成签到,获得积分10
3秒前
搜集达人应助科研通管家采纳,获得10
4秒前
CAOHOU应助科研通管家采纳,获得10
4秒前
丘比特应助科研通管家采纳,获得10
4秒前
CAOHOU应助科研通管家采纳,获得10
4秒前
赘婿应助科研通管家采纳,获得10
4秒前
量子星尘发布了新的文献求助30
4秒前
SYLH应助科研通管家采纳,获得20
4秒前
4秒前
4秒前
4秒前
CAOHOU应助科研通管家采纳,获得10
4秒前
Lyuhng+1完成签到 ,获得积分10
5秒前
大个应助十九岁的时差采纳,获得10
6秒前
9秒前
桃花落完成签到,获得积分10
12秒前
su发布了新的文献求助10
12秒前
思源应助汪汪采纳,获得10
12秒前
高兴的天蓝完成签到 ,获得积分10
13秒前
13秒前
14秒前
星星应助momo采纳,获得10
14秒前
15秒前
阿钉发布了新的文献求助10
16秒前
科研通AI2S应助愉快的宛儿采纳,获得10
16秒前
17秒前
LJJ发布了新的文献求助10
20秒前
Simlove完成签到,获得积分10
21秒前
高贵魂幽完成签到,获得积分10
21秒前
ccygpp199发布了新的文献求助10
23秒前
24秒前
整齐小松鼠完成签到,获得积分20
25秒前
Xw发布了新的文献求助10
25秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989334
求助须知:如何正确求助?哪些是违规求助? 3531428
关于积分的说明 11253936
捐赠科研通 3270119
什么是DOI,文献DOI怎么找? 1804887
邀请新用户注册赠送积分活动 882087
科研通“疑难数据库(出版商)”最低求助积分说明 809173