Title |
Corticolimbic anatomical characteristics predetermine risk for chronic pain
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Published in |
Brain, May 2016
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DOI | 10.1093/brain/aww100 |
Pubmed ID | |
Authors |
Etienne Vachon-Presseau, Pascal Tétreault, Bogdan Petre, Lejian Huang, Sara E Berger, Souraya Torbey, Alexis T Baria, Ali R Mansour, Javeria A Hashmi, James W Griffith, Erika Comasco, Thomas J Schnitzer, Marwan N Baliki, A Vania Apkarian |
Abstract |
Mechanisms of chronic pain remain poorly understood. We tracked brain properties in subacute back pain patients longitudinally for 3 years as they either recovered from or transitioned to chronic pain. Whole-brain comparisons indicated corticolimbic, but not pain-related circuitry, white matter connections predisposed patients to chronic pain. Intra-corticolimbic white matter connectivity analysis identified three segregated communities: dorsal medial prefrontal cortex-amygdala-accumbens, ventral medial prefrontal cortex-amygdala, and orbitofrontal cortex-amygdala-hippocampus. Higher incidence of white matter and functional connections within the dorsal medial prefrontal cortex-amygdala-accumbens circuit, as well as smaller amygdala volume, represented independent risk factors, together accounting for 60% of the variance for pain persistence. Opioid gene polymorphisms and negative mood contributed indirectly through corticolimbic anatomical factors, to risk for chronic pain. Our results imply that persistence of chronic pain is predetermined by corticolimbic neuroanatomical factors. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 6 | 13% |
United Kingdom | 5 | 11% |
Spain | 3 | 6% |
Canada | 3 | 6% |
New Zealand | 2 | 4% |
Korea, Republic of | 1 | 2% |
Mexico | 1 | 2% |
Sweden | 1 | 2% |
Brazil | 1 | 2% |
Other | 2 | 4% |
Unknown | 22 | 47% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 31 | 66% |
Scientists | 8 | 17% |
Practitioners (doctors, other healthcare professionals) | 4 | 9% |
Science communicators (journalists, bloggers, editors) | 4 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Netherlands | 1 | <1% |
Unknown | 350 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 54 | 15% |
Researcher | 50 | 14% |
Student > Master | 41 | 12% |
Student > Bachelor | 37 | 11% |
Other | 30 | 9% |
Other | 76 | 22% |
Unknown | 64 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 86 | 24% |
Medicine and Dentistry | 69 | 20% |
Psychology | 32 | 9% |
Nursing and Health Professions | 24 | 7% |
Agricultural and Biological Sciences | 18 | 5% |
Other | 42 | 12% |
Unknown | 81 | 23% |