Functional brain reconfiguration during sustained pain

被引:14
作者
Lee, Jae-Joong [1 ,2 ]
Lee, Sungwoo [1 ,2 ,3 ]
Lee, Dong Hee [1 ,2 ,3 ]
Woo, Choong-Wan [1 ,2 ,3 ]
机构
[1] Inst Basic Sci, Ctr Neurosci Imaging Res, Suwon, South Korea
[2] Sungkyunkwan Univ, Dept Biomed Engn, Suwon, South Korea
[3] Sungkyunkwan Univ, Dept Intelligent Precis Healthcare Convergence, Suwon, South Korea
基金
新加坡国家研究基金会;
关键词
Pain; fMRI; functional connectivity; network community; predictive modeling; Human; NETWORK COMMUNITY STRUCTURE; LOW-BACK-PAIN; DYNAMIC RECONFIGURATION; CONNECTIVITY; CONNECTOME; CAPSAICIN; CORTEX; REPRESENTATION; STIMULATION; PERCEPTION;
D O I
10.7554/eLife.74463
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Pain is constructed through complex interactions among multiple brain systems, but it remains unclear how functional brain networks are reconfigured over time while experiencing pain. Here, we investigated the time-varying changes in the functional brain networks during 20 min capsaicin-induced sustained orofacial pain. In the early stage, the orofacial areas of the primary somatomotor cortex were separated from other areas of the somatosensory cortex and integrated with subcortical and frontoparietal regions, constituting an extended brain network of sustained pain. As pain decreased over time, the subcortical and frontoparietal regions were separated from this brain network and connected to multiple cerebellar regions. Machine-learning models based on these network features showed significant predictions of changes in pain experience across two independent datasets (n = 48 and 74). This study provides new insights into how multiple brain systems dynamically interact to construct and modulate pain experience, advancing our mechanistic understanding of sustained pain.
引用
收藏
页数:39
相关论文
共 89 条
[1]   The discovery of population differences in network community structure: New methods and applications to brain functional networks in schizophrenia [J].
Alexander-Bloch, Aaron ;
Lambiotte, Renaud ;
Roberts, Ben ;
Giedd, Jay ;
Gogtay, Nitin ;
Bullmore, Edward T. .
NEUROIMAGE, 2012, 59 (04) :3889-3900
[2]   Magnetic resonance imaging of cerebellar-prefrontal and cerebellar-parietal functional connectivity [J].
Allen, G ;
McColl, R ;
Barnard, H ;
Ringe, WK ;
Fleckenstein, J ;
Cullum, CM .
NEUROIMAGE, 2005, 28 (01) :39-48
[3]   Towards a theory of chronic pain [J].
Apkarian, A. Vania ;
Baliki, Marwan N. ;
Geha, Paul Y. .
PROGRESS IN NEUROBIOLOGY, 2009, 87 (02) :81-97
[4]   Imaging the pain of low back pain: functional magnetic resonance imaging in combination with monitoring subjective pain perception allows the study of clinical pain states [J].
Apkarian, AV ;
Krauss, BR ;
Fredrickson, BE ;
Szeverenyi, NM .
NEUROSCIENCE LETTERS, 2001, 299 (1-2) :57-60
[5]   The conscious access hypothesis: origins and recent evidence [J].
Baars, BJ .
TRENDS IN COGNITIVE SCIENCES, 2002, 6 (01) :47-52
[6]   Reorganization of functional brain network architecture in chronic osteoarthritis pain [J].
Barroso, Joana ;
Wakaizumi, Kenta ;
Reis, Ana Mafalda ;
Baliki, Marwan ;
Schnitzer, Thomas J. ;
Galhardo, Vasco ;
Apkarian, Apkar Vania .
HUMAN BRAIN MAPPING, 2021, 42 (04) :1206-1222
[7]   Valid across-group comparisons with labeled scales: the gLMS versus magnitude matching [J].
Bartoshuk, LM ;
Duffy, V ;
Green, BG ;
Hoffman, HJ ;
Ko, CW ;
Lucchina, LA ;
Marks, LE ;
Snyder, DJ ;
Weiffenbach, JM .
PHYSIOLOGY & BEHAVIOR, 2004, 82 (01) :109-114
[8]   Learning-induced autonomy of sensorimotor systems [J].
Bassett, Danielle S. ;
Yang, Muzhi ;
Wymbs, Nicholas F. ;
Grafton, Scott T. .
NATURE NEUROSCIENCE, 2015, 18 (05) :744-+
[9]   Robust detection of dynamic community structure in networks [J].
Bassett, Danielle S. ;
Porter, Mason A. ;
Wymbs, Nicholas F. ;
Grafton, Scott T. ;
Carlson, Jean M. ;
Mucha, Peter J. .
CHAOS, 2013, 23 (01)
[10]   Dynamic reconfiguration of human brain networks during learning [J].
Bassett, Danielle S. ;
Wymbs, Nicholas F. ;
Porter, Mason A. ;
Mucha, Peter J. ;
Carlson, Jean M. ;
Grafton, Scott T. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 (18) :7641-7646