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      Neuropsychological Changes in Complex Regional Pain Syndrome (CRPS)

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          Abstract

          Complex Regional Pain Syndrome (CRPS) is a poorly understood chronic pain condition of multifactorial origin. CRPS involves sensory, motor, and autonomic symptoms primarily affecting one extremity. Patients can also present with neuropsychological changes such as reduced attention to the CRPS-affected extremity, reminiscent of hemispatial neglect, yet in the absence of any brain lesions. However, this “neglect-like” framework is not sufficient to characterise the range of higher cognitive functions that can be altered in CRPS. This comprehensive literature review synthesises evidence of neuropsychological changes in CRPS in the context of potential central mechanisms of the disorder. The affected neuropsychological functions constitute three distinct but not independent groups: distorted body representation, deficits in lateralised spatial cognition, and impairment of non-spatially-lateralised higher cognitive functions. We suggest that many of these symptoms appear to be consistent with a broader disruption to parietal function beyond merely what could be considered “neglect-like.” Moreover, the extent of neuropsychological symptoms might be related to the clinical signs of CRPS, and rehabilitation methods that target the neuropsychological changes can improve clinical outcomes in CRPS and other chronic pain conditions. Based on the limitations and gaps in the reviewed literature, we provide several suggestions to improve further research on neuropsychological changes in chronic pain.

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          Most cited references194

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          Bayesian integration in sensorimotor learning.

          When we learn a new motor skill, such as playing an approaching tennis ball, both our sensors and the task possess variability. Our sensors provide imperfect information about the ball's velocity, so we can only estimate it. Combining information from multiple modalities can reduce the error in this estimate. On a longer time scale, not all velocities are a priori equally probable, and over the course of a match there will be a probability distribution of velocities. According to bayesian theory, an optimal estimate results from combining information about the distribution of velocities-the prior-with evidence from sensory feedback. As uncertainty increases, when playing in fog or at dusk, the system should increasingly rely on prior knowledge. To use a bayesian strategy, the brain would need to represent the prior distribution and the level of uncertainty in the sensory feedback. Here we control the statistical variations of a new sensorimotor task and manipulate the uncertainty of the sensory feedback. We show that subjects internally represent both the statistical distribution of the task and their sensory uncertainty, combining them in a manner consistent with a performance-optimizing bayesian process. The central nervous system therefore employs probabilistic models during sensorimotor learning.
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            The mental representation of parity and number magnitude.

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              Interactions between number and space in parietal cortex.

              Since the time of Pythagoras, numerical and spatial representations have been inextricably linked. We suggest that the relationship between the two is deeply rooted in the brain's organization for these capacities. Many behavioural and patient studies have shown that numerical-spatial interactions run far deeper than simply cultural constructions, and, instead, influence behaviour at several levels. By combining two previously independent lines of research, neuroimaging studies of numerical cognition in humans, and physiological studies of spatial cognition in monkeys, we propose that these numerical-spatial interactions arise from common parietal circuits for attention to external space and internal representations of numbers.
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                Author and article information

                Contributors
                Journal
                Behav Neurol
                Behav Neurol
                BN
                Behavioural Neurology
                Hindawi
                0953-4180
                1875-8584
                2020
                14 January 2020
                : 2020
                : 4561831
                Affiliations
                1Centre for Pain Research, University of Bath, Claverton Down Road, Bath BA2 7AY, UK
                2Department of Psychology, University of Bath, Claverton Down Road, Bath BA2 7AY, UK
                3Department of Sport & Health Sciences, University of Exeter, Prince of Wales Road, Exeter EX4 4SB, UK
                4Centre for Real & Virtual Environments Augmentation Labs, Department of Computer Science, University of Bath, Claverton Down Road, Bath BA2 7AY, UK
                Author notes

                Academic Editor: Gergely Feher

                Author information
                https://orcid.org/0000-0001-6283-9352
                https://orcid.org/0000-0003-4066-3645
                https://orcid.org/0000-0003-4648-6184
                Article
                10.1155/2020/4561831
                7201816
                32399082
                eeea7da9-6a45-4fe7-bc9f-574124af4c2b
                Copyright © 2020 Monika Halicka et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 29 August 2019
                : 24 November 2019
                : 11 December 2019
                Categories
                Review Article

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