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      Chronic pain is associated with a brain aging biomarker in community-dwelling older adults :

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          Abstract

          Chronic pain is associated with brain atrophy with limited evidence of its impact in the older adult’s brain. We aimed to determine the associations between chronic pain and a brain aging biomarker in persons 60 to 83 years old. Participants of the NEPAL study (n=47) completed demographic, psychological, and pain assessments followed by a QST battery and a T1-weighted MRI. We estimated a brain-predicted age difference that has been previously reported to predict overall mortality risk (brain-PAD; calculated as brain-predicted age minus chronological age), using an established machine-learning model. ANCOVAs and Pearson/Spearman correlations were used to determine associations of brain-PAD with pain, somatosensory and psychological function. Individuals with chronic pain (n=33) had “older” brains for their age compared to those without (n=14, F(1,41)=4.9, p=0.033). Greater average worst pain intensity was associated with an “older” brain (r=0.464, p=0.011). Among participants with chronic pain, those that reported having pain treatments during the past 3 months had “younger” brains compared to those that did not (F(1,27)=12.3, p=0.002). An “older” brain was significantly associated with decreased vibratory (r=0.323, p=0.033) and thermal (r=0.345, p=0.023) detection, deficient endogenous pain inhibition (F(1,25)=4.6, p=0.044), lower positive affect (r =−0.474, p=0.005), a less agreeable (r=−0.439, p=0.020), and less emotionally stable personality (r=−0.387, p=0.042). Our findings suggest that chronic pain is associated with added “age-like” brain atrophy in relatively healthy, community-dwelling older individuals and future studies are needed to determine the directionality of our findings. A brain aging biomarker may help identify people with chronic pain at greater risk of functional decline and poorer health outcomes.

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          Most cited references22

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          The positive and negative affect schedule (PANAS): construct validity, measurement properties and normative data in a large non-clinical sample.

          To evaluate the reliability and validity of the PANAS (Watson, Clark, & Tellegen, 1988b) and provide normative data. Cross-sectional and correlational. The PANAS was administered to a non-clinical sample, broadly representative of the general adult UK population (N = 1,003). Competing models of the latent structure of the PANAS were evaluated using confirmatory factor analysis. Regression and correlational analysis were used to determine the influence of demographic variables on PANAS scores as well as the relationship between the PANAS with measures of depression and anxiety (the HADS and the DASS). The best-fitting model (robust comparative fit index = .94) of the latent structure of the PANAS consisted of two correlated factors corresponding to the PA and NA scales, and permitted correlated error between items drawn from the same mood subcategories (Zevon & Tellegen, 1982). Demographic variables had only very modest influences on PANAS scores and the PANAS exhibited measurement invariance across demographic subgroups. The reliability of the PANAS was high, and the pattern of relationships between the PANAS and the DASS and HADS were consistent with tripartite theory. The PANAS is a reliable and valid measure of the constructs it was intended to assess, although the hypothesis of complete independence between PA and NA must be rejected. The utility of this measure is enhanced by the provision of large-scale normative data. Copyright 2004 The British Psychological Society
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            Chronic back pain is associated with decreased prefrontal and thalamic gray matter density.

            The role of the brain in chronic pain conditions remains speculative. We compared brain morphology of 26 chronic back pain (CBP) patients to matched control subjects, using magnetic resonance imaging brain scan data and automated analysis techniques. CBP patients were divided into neuropathic, exhibiting pain because of sciatic nerve damage, and non-neuropathic groups. Pain-related characteristics were correlated to morphometric measures. Neocortical gray matter volume was compared after skull normalization. Patients with CBP showed 5-11% less neocortical gray matter volume than control subjects. The magnitude of this decrease is equivalent to the gray matter volume lost in 10-20 years of normal aging. The decreased volume was related to pain duration, indicating a 1.3 cm3 loss of gray matter for every year of chronic pain. Regional gray matter density in 17 CBP patients was compared with matched controls using voxel-based morphometry and nonparametric statistics. Gray matter density was reduced in bilateral dorsolateral prefrontal cortex and right thalamus and was strongly related to pain characteristics in a pattern distinct for neuropathic and non-neuropathic CBP. Our results imply that CBP is accompanied by brain atrophy and suggest that the pathophysiology of chronic pain includes thalamocortical processes.
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              Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers.

              The brain changes as we age and these changes are associated with functional deterioration and neurodegenerative disease. It is vital that we better understand individual differences in the brain ageing process; hence, techniques for making individualised predictions of brain ageing have been developed. We present evidence supporting the use of neuroimaging-based 'brain age' as a biomarker of an individual's brain health. Increasingly, research is showing how brain disease or poor physical health negatively impacts brain age. Importantly, recent evidence shows that having an 'older'-appearing brain relates to advanced physiological and cognitive ageing and the risk of mortality. We discuss controversies surrounding brain age and highlight emerging trends such as the use of multimodality neuroimaging and the employment of 'deep learning' methods.
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                Author and article information

                Journal
                PAIN
                PAIN
                Ovid Technologies (Wolters Kluwer Health)
                0304-3959
                2019
                May 2019
                : 160
                : 5
                : 1119-1130
                Article
                10.1097/j.pain.0000000000001491
                6752890
                31009418
                275b2344-be87-4f32-b29f-a304b17e6a3d
                © 2019
                History

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