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      Structural alterations in functional neurological disorder and related conditions: a software and hardware problem?

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          Abstract

          Functional neurological (conversion) disorder (FND) is a condition at the interface of neurology and psychiatry. A “software” vs. “hardware” analogy describes abnormal neurobiological mechanisms occurring in the context of intact macroscopic brain structure. While useful for explanatory and treatment models, this framework may require more nuanced considerations in the context of quantitative structural neuroimaging findings in FND. Moreover, high co-occurrence of FND and somatic symptom disorders (SSD) as defined in DSM-IV (somatization disorder, somatoform pain disorder, and undifferentiated somatoform disorder; referred to as SSD for brevity in this article) raises the possibility of a partially overlapping pathophysiology. In this systematic review, we use a transdiagnostic approach to review and appraise the structural neuroimaging literature in FND and SSD. While larger sample size studies are needed for definitive characterization, this article highlights that individuals with FND and SSD may exhibit sensorimotor, prefrontal, striatal-thalamic, paralimbic, and limbic structural alterations. The structural neuroimaging literature is contextualized within the neurobiology of stress-related neuroplasticity, gender differences, psychiatric comorbidities, and the greater spectrum of functional somatic disorders. Future directions that could accelerate the characterization of the pathophysiology of FND and DSM-5 SSD are outlined, including “disease staging” discussions to contextualize subgroups with or without structural changes. Emerging neuroimaging evidence suggests that some individuals with FND and SSD may have a “software” and “hardware” problem, although if structural alterations are present the neural mechanisms of functional disorders remain distinct from lesional neurological conditions. Furthermore, it remains unclear whether structural alterations relate to predisposing vulnerabilities or consequences of the disorder.

          Highlights

          • Transdiagnostic systematic review of structural MRI studies in FND and SSD

          • Sensorimotor-striatothalamic-limbic-paralimbic circuits implicated in both conditions.

          • Some small sample size FND studies did not show group-level structural alterations.

          • MRI alterations may relate to risk factors, compensatory changes or disease mechanisms.

          • Early-phase discussion on disease-staging algorithms outlined as a future direction.

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          Most cited references117

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          An insular view of anxiety.

          We propose a general hypothesis that integrates affective and cognitive processing with neuroanatomy to explain anxiety pronenes. The premise is that individuals who are prone to anxiety show an altered interoceptive prediction signal, i.e., manifest augmented detection of the difference between the observed and expected body state. As a consequence, the increased prediction signal of a prospective aversive body state triggers an increase in anxious affect, worrisome thoughts and other avoidance behaviors. The anterior insula is proposed to play a key role in this process. Further testing of this model--which should include investigation of genetic and environmental influences--may lead to the development of novel treatments that attenuate this altered interoceptive prediction signal in patients with anxiety disorders.
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            Accelerated brain gray matter loss in fibromyalgia patients: premature aging of the brain?

            Fibromyalgia is an intractable widespread pain disorder that is most frequently diagnosed in women. It has traditionally been classified as either a musculoskeletal disease or a psychological disorder. Accumulating evidence now suggests that fibromyalgia may be associated with CNS dysfunction. In this study, we investigate anatomical changes in the brain associated with fibromyalgia. Using voxel-based morphometric analysis of magnetic resonance brain images, we examined the brains of 10 female fibromyalgia patients and 10 healthy controls. We found that fibromyalgia patients had significantly less total gray matter volume and showed a 3.3 times greater age-associated decrease in gray matter than healthy controls. The longer the individuals had had fibromyalgia, the greater the gray matter loss, with each year of fibromyalgia being equivalent to 9.5 times the loss in normal aging. In addition, fibromyalgia patients demonstrated significantly less gray matter density than healthy controls in several brain regions, including the cingulate, insular and medial frontal cortices, and parahippocampal gyri. The neuroanatomical changes that we see in fibromyalgia patients contribute additional evidence of CNS involvement in fibromyalgia. In particular, fibromyalgia appears to be associated with an acceleration of age-related changes in the very substance of the brain. Moreover, the regions in which we demonstrate objective changes may be functionally linked to core features of the disorder including affective disturbances and chronic widespread pain.
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              Stressful life events and maltreatment in conversion (functional neurological) disorder: systematic review and meta-analysis of case-control studies

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                Author and article information

                Contributors
                Journal
                Neuroimage Clin
                Neuroimage Clin
                NeuroImage : Clinical
                Elsevier
                2213-1582
                28 March 2019
                2019
                28 March 2019
                : 22
                : 101798
                Affiliations
                [a ]Department of Psychiatry, University of Geneva, Switzerland
                [b ]Service of Adult Psychiatry, Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland
                [c ]Laboratory for Behavioral Neurology and Imaging of Cognition, Geneva Neuroscience Center, University of Geneva, Switzerland
                [d ]Functional Neurology Research Group, Departments of Neurology and Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
                [e ]Inpatient Psychiatry Division, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
                [f ]Centre for Clinical Brain Sciences, Western General Hospital, NHS Lothian and University of Edinburgh, Edinburgh, UK
                [g ]Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
                Author notes
                [* ]Corresponding author at: Departments of Neurology & Psychiatry, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, USA. dlperez@ 123456partners.org
                Article
                S2213-1582(19)30148-2 101798
                10.1016/j.nicl.2019.101798
                6484222
                31146322
                24cc1a32-7473-4466-9bf0-0839728e6ec6
                © 2019 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 11 January 2019
                : 20 March 2019
                : 26 March 2019
                Categories
                Review Article

                conversion disorder,psychogenic,neuroimaging,mri,functional neurological disorder,somatic symptom disorder

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