2016
DOI: 10.1097/j.pain.0000000000000708
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Negative mood influences default mode network functional connectivity in patients with chronic low back pain: implications for functional neuroimaging biomarkers

Abstract: The default mode network (DMN) has been proposed as a biomarker for several chronic pain conditions. DMN functional connectivity (fcMRI) is typically examined during resting-state fMRI, in which participants are instructed to let thoughts wander. However, factors at the time of data collection (e.g., negative mood) that might systematically impact pain perception and its brain activity, influencing the application of the DMN as a pain biomarker, are rarely reported. The present study measured whether positive … Show more

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Cited by 41 publications
(39 citation statements)
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References 89 publications
(123 reference statements)
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“…In this issue of PAIN, Letzen and Robinson [6] importantly extend our knowledge of mood’s influence on resting state functional connectivity (i.e., correlated oscillatory activity among brain regions), as demonstrated previously in healthy volunteers [3], by investigating mood’s effect in a chronic low back pain population. When mood was altered it changed functional connectivity between default mode network (DMN) hub seed regions (medial prefrontal cortex, mPFC and posterior cingulate cortex, PCC) with a different constellation of changes for patients as compared with healthy controls.…”
mentioning
confidence: 88%
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“…In this issue of PAIN, Letzen and Robinson [6] importantly extend our knowledge of mood’s influence on resting state functional connectivity (i.e., correlated oscillatory activity among brain regions), as demonstrated previously in healthy volunteers [3], by investigating mood’s effect in a chronic low back pain population. When mood was altered it changed functional connectivity between default mode network (DMN) hub seed regions (medial prefrontal cortex, mPFC and posterior cingulate cortex, PCC) with a different constellation of changes for patients as compared with healthy controls.…”
mentioning
confidence: 88%
“…Some options are: A) to identify separate, specific pain and mood signatures by including patients without comorbid depression or anxiety, and directly manipulating mood states; B) to give up on such research concluding, “It’s too complicated!”, C) to identify each neurologic signature “as is” and then measure correlated effects of negative affect, mood, pain and other covariates and comorbidities. Letzen and Robinson [6] provide clear evidence that mood status influences resting state activity in persons with chronic low back pain. Hopefully, this work will be expanded upon to determine how activity between and within other brain networks and regions are affected by mood, and further, whether these effects differ among persons who vary with regard to type of chronic pain, sex, race, etc.…”
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confidence: 99%
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“…9 The painrelated brain regions primarily included the thalamus, insula and anterior cingulate, while other brain regions were likely to be stimulus-specific. 10 In recent years, many studies have valuated the underlying neurophysiological mechanism of brain functional changes in low back pain, 11 trigeminal neuralgia, 12 chronic migraine, 13,14 fibromyalgia, 15 knee osteoarthritis, 16 visceral pain, 17 but literature focused on abnormal pattern of cerebral networks for pain processing in patients with shoulder pain is insufficient. In the brain, the functional interaction effects of pain, cognitive as well as negative affect have been widely reported 18,19 and multiple mechanisms are needed to fully explain the emotional and cognitive brain alternations associated with pain.…”
Section: Introductionmentioning
confidence: 99%
“…Overall, many neuroimaging studies have demonstrated that patients with pain-related symptoms have abnormal neuronal activity and structural function, [11][12][13][14][15][16][17] few have focused on chronic shoulder pain. Therefore, the main objective of our study is to investigate how chronic shoulder pain affects brain function.…”
Section: Introductionmentioning
confidence: 99%