Resilience linked to personality dimensions, alexithymia and affective symptoms in motor functional neurological disorders

Abstract

Patients with FND reported reduced resilience, and CD-RISC scores covaried with other important predisposing vulnerabilities for the development of FND. Future research should investigate if the CD-RISC is predictive of clinical outcomes in patients with FND.

White matter and neurite morphology differ in psychogenic nonepileptic seizures

“…Results for all statistical comparisons (a = 0.05, twotailed) of psychiatric and behavioral assessments between TBI and TBI + PNES groups are reported in Table 1. There were no differences between TBI and TBI + PNES groups with respect to prior psychiatric comorbidities or psychoticism scale symptoms, and as expected based on PNES epidemiology, 3,27 depressive, anxious, posttraumatic stress, and somatization symptoms were greater in the TBI + PNES group (Table 1).…”

“…Scales were selected based on prior literature on FNSDs demonstrating sensitivity to greater symptom severity compared to healthy controls, as well as relationships between limbic and motor brain regions structure and/or function. 3,[8][9][10][11]21,27 Independent samples t-tests were used to compare TBI and TBI + PNES groups for depressive (Beck Depression Inventory-II, BDI-II), 28 anxious (Beck Anxiety Inventory, BAI), 29 posttraumatic stress (PTSD Checklist-Specific version, PCL-S), 30 psychoticism (Symptom Checklist-90, SCL-90 PSY), somatization (SCL-90 SOM) 31 symptoms, and symptom severity (Global Assessment of Functioning). 32 Corrected degrees of freedom were used for any comparison that violated assumptions for homogeneity of variance between groups.…”

“…6,[8][9][10][11][21][22][23] In order to further reduce the likelihood of type-I error, volume extent thresholds (mm 3 ) were calculated using AFNI's 3dClustSim based on an algorithm that uses randomization/ permutation simulation to produce 10 000 iterations of noise only generated t-tests and to determine the global cluster-level threshold values for each of the five separate diffusion measures. Only clusters identified by 3dLMEs exceeding 443 mm 3 for FA, 460 mm 3 for MD, 437 mm 3 for ODI, 548 mm 3 for ICVF, and 612 mm 3 for V-ISO were considered statistically significant (uncorrected P < 0.01, cluster threshold a = 0.05). Signal extractions (3dROIstats) were performed for clusters identified by the 3dLMEs that included a priori pathways of interest within UF, FST, cingulum (JHU-DTI WM labels), 34 and corticospinal tract (JHU-DTI tract probability map) 35 regions.…”

“…1 While PNES are associated with underlying psychological conflicts or stressors and psychiatric comorbidities, many patients also report history of traumatic brain injury (TBI). 2 Patients with FNDs, including PNES, often report increased depression, anxiety, and posttraumatic stress symptom severity, 3 and their clinical outcomes are often linked to comorbid anxiety and mood disorders. 4,5 Current treatments for FNSDs include evidencebased psychotherapies 1,6 but the neurobiological mechanisms for symptom improvement with therapy are not well understood.…”

Machine-learned identification of psychological subgroups with relation to pain interference in patients after breast cancer treatments

“…Social support has been associated with better functioning, e.g., in patients with rheumatoid arthritis [44,45]. Similarly, in patients with neurological disorders and impaired motor function, extraversion was an independent predictor of resilience [46]. Hence, a combination of these two traits is likely to reflect a positive affect that contributes to better coping with cancer and pain.…”