2022
DOI: 10.1097/j.pain.0000000000002613
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Differential expression of a brain aging biomarker across discrete chronic pain disorders

Abstract: Chronic pain has widespread, detrimental effects on the human nervous system and its prevalence and burden increase with age. Machine learning techniques have been applied on brain images to produce statistical models of brain aging. Specifically, the Gaussian process regression is particularly effective at predicting chronological age from neuroimaging data which permits the calculation of a brain age gap estimate (brain-AGE). Pathological biological processes such as chronic pain can influence brain-AGE. Bec… Show more

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Cited by 19 publications
(32 citation statements)
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“…However, a recent study found that across three different pain conditions, individuals with osteoarthritis pain and trigeminal neuralgia showed significantly older appearing brains. 27 Despite these findings, there has been limited examination of the global brain aging patterns in persons with chronic pain. Given that brain aging as measured employing brain aging biomarkers has been associated with worse cognitive performance, increased likelihood for chronic disease (eg, cardiovascular diseases), and increased mortality, 17,[28][29][30] it is imperative to elucidate the relationship between chronic pain and brain aging to identify adults at greater risk for cognitive and physical function decline.…”
Section: Introductionmentioning
confidence: 99%
“…However, a recent study found that across three different pain conditions, individuals with osteoarthritis pain and trigeminal neuralgia showed significantly older appearing brains. 27 Despite these findings, there has been limited examination of the global brain aging patterns in persons with chronic pain. Given that brain aging as measured employing brain aging biomarkers has been associated with worse cognitive performance, increased likelihood for chronic disease (eg, cardiovascular diseases), and increased mortality, 17,[28][29][30] it is imperative to elucidate the relationship between chronic pain and brain aging to identify adults at greater risk for cognitive and physical function decline.…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, we speculate that this synergistic effect might be a substrate underlying accelerated brain aging, a phenomenon that has been proposed to occur in patients with cLBP and other chronic pain. 29,47,71 Future investigations should explicitly evaluate this intriguing question.…”
Section: Discussionmentioning
confidence: 99%
“…The prevalence of chronic pain increases with age, affecting 28% of adults ages 65 to 84 years and 34% of those 85 and older, with high-impact chronic pain (chronic pain that regularly limits daily activities) affecting the latter more than any other age group 1. Chronic pain impairs older adults physically, mentally, and socially; diminishes general health, biopsychosocial functioning, and longevity; and accelerates brain aging 2, 3. Older adults are also more likely to transition from acute pain to chronic, disabling, treatment-resistant pain due to neuroimmune changes seen with aging 4.…”
Section: Introductionmentioning
confidence: 99%
“…1 Chronic pain impairs older adults physically, mentally, and socially; diminishes general health, biopsychosocial functioning, and longevity; and accelerates brain aging. 2,3 Older adults are also more likely to transition from acute pain to chronic, disabling, treatment-resistant pain due to neuroimmune changes seen with aging. 4 People with chronic pain face stigma and discrimination and are increasingly denied access to treatment.…”
Section: Introductionmentioning
confidence: 99%