2018
DOI: 10.1016/j.neuroimage.2017.12.021
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Structural network differences in chronic musculoskeletal pain: Beyond fractional anisotropy

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Cited by 36 publications
(37 citation statements)
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“…Results regarding the hippocampus, however, were mixed. While one study found lower hippocampal volume, mediated by cortisol levels, in chronic back pain patients than controls (Vachon-Presseau et al, 2013), another study found higher amygdala and hippocampus gray matter volumes associated with chronic musculoskeletal pain (Bishop et al, 2018).…”
Section: Chronic Musculoskeletal Pain and Structural Brain Alterationsmentioning
confidence: 93%
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“…Results regarding the hippocampus, however, were mixed. While one study found lower hippocampal volume, mediated by cortisol levels, in chronic back pain patients than controls (Vachon-Presseau et al, 2013), another study found higher amygdala and hippocampus gray matter volumes associated with chronic musculoskeletal pain (Bishop et al, 2018).…”
Section: Chronic Musculoskeletal Pain and Structural Brain Alterationsmentioning
confidence: 93%
“…Ung et al (2014), using structural MRI scans of 47 patients, with ages ranging from 19 to 60 years old, and 47 gender and age matched controls successfully classified 76% of chronic back pain patients based on gray matter density of the prefrontal, somatosensory, motor, and visual cortices, temporal lobe, amygdala, medial orbital gyrus, and cerebellum using multivariate support vector analysis. Furthermore, chronic musculoskeletal pain patients exhibited volumetric reductions, compared to pain-free agematched controls, in the dorsolateral prefrontal, motor (Bishop et al, 2018), somatosensory (Schmidt-Wilcke et al, 2006;Bishop et al, 2018), and cingulate cortices, with gray matter density reductions in the dorsolateral prefrontal and the middle cingulate cortices (Ivo et al, 2013).…”
Section: Chronic Musculoskeletal Pain and Structural Brain Alterationsmentioning
confidence: 94%
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“…One study mentioned a significant difference in age between patient and control group (54), 6 studies did not present statistical results on potential age differences. Five studies mentioned a significant difference in the distribution of men and women (28,38,49,55,56), 8 did not present statistical results on potential differences in sex. Seven studies also matched for years of education (30,34,35,(57)(58)(59)(60), in addition to age and sex.…”
Section: Risk Of Bias In Individual Studiesmentioning
confidence: 96%