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Anti-IgLON5 disease is a rare autoimmune neurological condition which was relatively recently described in the literature. This syndrome encompasses a range of clinical manifestations with most cases showing unremarkable findings on brain magnetic resonance imaging (MRI). Here, we report a case of a 61-year-old female patient with unique brain MRI features that, to the best of our knowledge, has not been reported in the literature before. Following treatment including immunotherapy, the patient experienced significant improvement clinically accompanied by radiological improvement on the follow-up imaging.

A variety of tools and methods have been used to measure behavioral symptoms of attention-deficit/hyperactivity disorder (ADHD). Missing data is a major concern in ADHD behavioral studies. This study used a deep learning method to impute missing data in ADHD rating scales and evaluated the ability of the imputed dataset (i.e., the imputed data replacing the original missing values) to distinguish youths with ADHD from youths without ADHD. The data were collected from 1220 youths, 799 of whom had an ADHD diagnosis, and 421 were typically developing (TD) youths without ADHD, recruited in Northern Taiwan. Participants were assessed using the Conners’ Continuous Performance Test, the Chinese versions of the Conners’ rating scale-revised: short form for parent and teacher reports, and the Swanson, Nolan, and Pelham, version IV scale for parent and teacher reports. We used deep learning, with information from the original complete dataset (referred to as the reference dataset), to perform missing data imputation and generate an imputation order according to the imputed accuracy of each question. We evaluated the effectiveness of imputation using support vector machine to classify the ADHD and TD groups in the imputed dataset. The imputed dataset can classify ADHD vs. TD up to 89% accuracy, which did not differ from the classification accuracy (89%) using the reference dataset. Most of the behaviors related to oppositional behaviors rated by teachers and hyperactivity/impulsivity rated by both parents and teachers showed high discriminatory accuracy to distinguish ADHD from non-ADHD. Our findings support a deep learning solution for missing data imputation without introducing bias to the data.

Introduction: Chronic inflammatory demyelinating polyneuropathy (CIDP) typically presents with a combination of sensory and motor impairments. Tremor is recognized as a common and debilitating feature in CIDP, although the underlying mechanisms are unclear.Methods: Clinical tremor severity and disability scores were collected prospectively in 25 CIDP patients and compared with 22 neuromuscular controls.Results: Postural and kinetic tremor were significantly more frequent in CIDP patients (80%) than in neuromuscular controls (35%; P < 0.005). Tremor severity and tremor-related disability were also significantly greater in CIDP patients than in controls. Accelerometry data confirmed the presence of a 5.5 Hz postural tremor and a 5 Hz kinetic tremor.Conclusions: Tremor appears to be a common clinical feature of CIDP that results in significant disability. Sensory and motor impairment may be associated with development of tremor in CIDP. Muscle Nerve 55: 338-343, 2017. [ABSTRACT FROM AUTHOR]

Background: Postoperative exercise rehabilitation helps patients recover normal joint functions after total hip arthroplasty (total hip replacement surgery or THR) by strengthening the muscles that surround the replaced hip joint. However, the high cost of professionally supervised exercise rehabilitation programs limits access to program participation and, thus, to optimal recovery of normal joint functions. Therefore, the development of an effective home-based, self-monitored exercise rehabilitation program is critical to promote the optimal recovery of THR patients. Purpose: This study tests the efficacy of a home-based resistance-band exercise programon mobility, functional exercise capacity, and health-related quality of life in THR patients. Methods: This study uses a preexperimental repeated measures design. A convenience sample of 30 patients who underwent total hip replacement for osteoarthritis was recruited. All patients participated in a 12-week home-based resistance training program. Data were collected at baseline and at 2, 6, and 12 weeks postoperation on the following dimensions: up-and-go time, timed walking distance, and quality of life. In addition, intervention-related adverse events and the exercise adherence rate were monitored. Generalized estimation equations were used to analyze changes in the outcome variables across time. Results: The study included 21 women and nine men. Themean age of the participants was 67.9 years (SD = 8.1 years, range = 55Y86 years). Results of the generalized estimation equations showed a statistically significant time effect for up-and-go time, 6-minutewalking distance, and health-related quality of life. After 12 weeks of training, the participants' up-and-go time decreased 40.33% from the baseline measurements, with a mean change of 6.38 seconds (p < .001). The 6-minute walking distance increased 41.34%, with a mean change of 117.12 meters (p < .001). The score for health-related quality of life decreased 78.94%, with a mean change of 39.10 (p < .001). The average exercise adherence rate was 72.63%. The average score for the feasibility of the intervention was 8.8 (range = 6-10). Conclusions/Implications for Practice: The results of this study support the hypothesis that a home-based resistance training program is safe, feasible, and effective for improving the mobility, functional exercise capacity, and health-related quality of life of THR patients. Considering the low cost and convenience of a home-based resistance training program, health professionals should consider this and similar exercise programs when providing guidance to THR patients. [ABSTRACT FROM AUTHOR]