Cerebrospinal Fluid Leakage to the Chest Subcutaneous Pocket Due to Aggressive Brain Edema around the Leads for Deep Brain Stimulation: A Case Report and Literature Review.

Cerebral edema around the lead has been reported as a complication of deep brain stimulation; however, the causes remain unknown. Herein, we present a rare case of sudden cerebral edema around the lead occurring after deep brain stimulation. This was accompanied by cerebrospinal fluid (CSF) leakage into the subcutaneous thoracic pocket around the implantable pulse generator in a 53-year-old man with Parkinson's disease. No such case has been reported thus far. Lumbar drainage was performed to improve CSF leakage. The cerebral edema initially responded to steroids, but then it stopped responding to treatment. The edema appeared alternately on the left and right sides, and cyst formation was noted around the left lead. There are some reports of cyst formation around the lead; however, in our case, images were used to monitor the edema and cyst from their appearance to their disappearance. Our data suggest that cyst formation and cerebral edema are related.

Biomass energy, particulate matter (PM2.5), and the prevalence of chronic obstructive pulmonary disease (COPD) among Congolese women living near of a cement plant, in Kongo Central Province.

This study investigated whether the individual and combined effects of using biomass energy and living in the neighborhood of a cement plant were associated with the risk of COPD and respiratory symptoms among Congolese women. A total of 235 women from two neighborhood communities of a cement plant participated in this cross-sectional study. Participants were classified into the more exposed group (MEG = 137) and a less exposed group (LEG = 98), as well as into biomass users (wood = 85, charcoal = 49) or electricity users (101 participants). Participants completed a questionnaire including respiratory symptoms, sociodemographic factors, medical history, lifestyle, and household characteristics. In addition to spirometry performance, outdoor PM2.5 (µg/m3) was measured. Afternoon outdoor PM2.5 concentration was significantly higher in MEG than LEG (48.8 (2.5) µg/m3 vs 42.5 (1.5) µg/m3). Compared to electricity users, wood users (aOR: 2.6, 95%CI 1.7; 5.9) and charcoal users (aOR: 2.9, 95%CI 1.4; 10.7) were at risk of developing airflow obstruction. Combined effects of biomass use and living in the neighborhood of a cement plant increased the risk of COPD in both wood users (aOR: 4, 95%CI 1.3; 12.2) and charcoal users (aOR: 3.1, 95%CI 1.7; 11.4). Exposure to biomass energy is associated with an increased risk of COPD. In addition, combined exposure to biomass and living near a cement plant had additive effects on COPD.

Texture analysis of sonographic muscle images can distinguish myopathic conditions.

Given the recent technological advent of muscle ultrasound (US), classification of various myopathic conditions could be possible, especially by mathematical analysis of muscular fine structure called texture analysis. We prospectively enrolled patients with three neuromuscular conditions and their lower leg US images were quantitatively analyzed by texture analysis and machine learning methodology in the following subjects :  Inclusion body myositis (IBM) [N=11] ; myotonic dystrophy type 1 (DM1) [N=19] ; polymyositis/dermatomyositis (PM-DM) [N=21]. Although three-group analysis achieved up to 58.8% accuracy, two-group analysis of IBM plus PM-DM versus DM1 showed 78.4% accuracy. Despite the small number of subjects, texture analysis of muscle US followed by machine learning might be expected to be useful in identifying myopathic conditions. J. Med. Invest. 66 : 237-240, August, 2019.

PMP22-related disease: A novel splice site acceptor variant and intrafamilial phenotype variability.

PMP22 is the most frequent mutated gene in Charcot-Marie-Tooth disease (CMT) type 1A. Another phenotype, hereditary neuropathy with pressure palsies (HNPP), could be caused by PMP22 mutations. PMP22 encodes a peripheral myelin protein with molecular weight 22-kDa. Various pathomechanisms have been postulated in PMP22-related disease, including dysfunction due to missense mutations, and alteration of a gene dose due to duplication/deletion mutations. We identified a novel PMP22 splice site acceptor variant, c.179-1G>A, in a patient with adult-onset chronic generalized polyneuropathy and two asymptomatic family members. Pathophysiological features of the members mainly overlapped with those reported in HNPP, but broad intrafamilial clinical variations were observed. PMP22 transcripts lacking of exon 4 were produced by the variant, presumably leading to in-frame deletion of 47 amino acids. The variant was also shown to exert effect on dosage of PMP22 mRNA. The complex molecular pathology would lead to the unique clinical and pathophysiological conditions.

Deep learning for waveform identification of resting needle electromyography signals.

OBJECTIVE: Given the recent advent in machine learning and artificial intelligence on medical data analysis, we hypothesized that the deep learning algorithm can classify resting needle electromyography (n-EMG) discharges. METHODS: Six clinically observed resting n-EMG signals were used as a dataset. The data were converted to Mel-spectrogram. Data augmentation was then applied to the training data. Deep learning algorithms were applied to assess the accuracies of correct classification, with or without the use of pre-trained weights for deep-learning networks. RESULTS: While the original data yielded the accuracy up to 0.86 on the test dataset, data-augmentation up to 200,000 training images showed significant increase in the accuracy to 1.0. The use of pre-trained weights (fine tuning) showed greater accuracy than "training from scratch". CONCLUSIONS: Resting n-EMG signals were successfully classified by deep-learning algorithm, especially with the use of data augmentation and transfer learning techniques. SIGNIFICANCE: Computer-aided signal identification of clinical n-EMG testing might be possible by deep-learning algorithms.

Classification of needle-EMG resting potentials by machine learning.

INTRODUCTION: The diagnostic importance of audio signal characteristics in needle electromyography (EMG) is well established. Given the recent advent of audio-sound identification by artificial intelligence, we hypothesized that the extraction of characteristic resting EMG signals and application of machine learning algorithms could help classify various EMG discharges. METHODS: Data files of 6 classes of resting EMG signals were divided into 2-s segments. Extraction of characteristic features (384 and 4,367 features each) was used to classify the 6 types of discharges using machine learning algorithms. RESULTS: Across 841 audio files, the best overall accuracy of 90.4% was observed for the smaller feature set. Among the feature classes, mel-frequency cepstral coefficients (MFCC)-related features were useful in correct classification. CONCLUSIONS: We showed that needle EMG resting signals were satisfactorily classifiable by the combination of feature extraction and machine learning, and this can be applied to clinical settings. Muscle Nerve 59:224-228, 2019.

Effect of crocetin on quality of sleep: A randomized, double-blind, placebo-controlled, crossover study.

OBJECTIVES: The aim of the present study was to investigate the effect of crocetin on sleep architecture and subjective sleep parameters in healthy adult participants with mild sleep complaints. DESIGN: A randomized, double-blind, placebo-controlled, crossover study with two intervention periods of 14 days each, separated by a 14-day wash-out period. INTERVENTIONS: Thirty participants were randomly assigned to one of two sequence groups. Each group was given crocetin at 7.5 mg/day, or placebo. We measured objective sleep parameters using single-channel electroencephalography and assessed subjective sleep parameters using the Oguri-Shirakawa-Azumi Sleep Inventory, Middle-age and Aged version (OSA-MA). MAIN OUTCOME MEASURES: Differences between crocetin and placebo in an objective sleep parameter (delta power), and OSA-MA scores. RESULTS: Delta power was significantly increased with crocetin compared with placebo. There were no significant differences in the other sleep parameters, including sleep latency, sleep efficiency, total sleep time, and wake after sleep onset. Subjective scores for sleepiness on rising and feeling refreshed were significantly improved with crocetin compared with placebo. CONCLUSIONS: The findings of the present study suggest that crocetin supplementation contributes to sleep maintenance, leading to improved subjective sleep quality.

Age-dependent texture features in skeletal muscle ultrasonography.

Texture analysis characterizes regions in an image by their texture content and has been utilized to infer the underlying structures of medical images such as skeletal muscles. Although potentially useful in tissue diagnosis and assessing disease progression of neuromuscular diseases, the use of texture analysis in such purposes are limited, due to lack of information such as effects of aging. Thus, we performed texture analysis of medial gastrocnemius in healthy individuals form their 20s to late 80s. Among the 283 texture features in 6 classes, the features related to histogram, co-occurrence matrix, absolute gradient, and wavelet were correlated to age in 17-40% of the parameters, while none of the features related to run-length matrix and autoregressive model had significant correlation to age. This study showed that age-dependency in many texture features are present and need to be taken into account in elucidating the clinical significance. By contrast, the features related to run-length matrix and autoregressive model could have clinical utility. J. Med. Invest. 65:274-279, August, 2018.

Distinct Incidence of Takotsubo Syndrome Between Amyotrophic Lateral Sclerosis and Synucleinopathies: A Cohort Study.

Takotsubo syndrome (TTS) is an acute cardiac syndrome characterized by regional left ventricular dysfunction with a peculiar circumferential pattern, which typically results in apical ballooning. Evidence indicates a pivotal role of catecholamines in TTS, and researchers have discussed multiple hypotheses on the etiology, including multivessel coronary spasm, myocardial stunning, excessive transient ventricular afterload, and cardiac sympathetic overactivity with local noradrenaline spillover. Although central nervous system disorders, such as stroke and epilepsy, are known to trigger TTS, the incidence and clinical features of TTS in neurodegenerative disorders are poorly understood. Here, we retrospectively examined TTS cases in a single-center cohort composed of 250 patients with amyotrophic lateral sclerosis (ALS) and 870 patients with synucleinopathies [582 patients with Parkinson's disease (PD), 125 patients with dementia with Lewy bodies (DLB), and 163 patients with multiple system atrophy (MSA)] and identified 4 (1.6%, including 2 women) cases with ALS and no cases with synucleinopathies. Two ALS patients underwent autopsy and the pathological findings were compatible with the chronological changes identified in catecholamine-induced cardiomyopathy. A literature review identified 16 TTS cases with ALS, 1 case each with PD and DLB, and no cases with MSA. When current and previous TTS cases with ALS were concatenated: 55% (11/20) were female; 35% (7/20) had a bulbar-onset and 45% (9/20) had a limb-onset; the mean age of TTS onset was 63.3 ± 9.0 years and the mean interval time from ALS onset to TTS development was 4.9 ± 3.0 years; no (0/16) patients developed TTS within 12 months after ALS onset; 50% (10/20) underwent artificial ventilations; the mortality was 17% (3/18); and most cases had precipitating factors, and TTS development was associated with gastrostomy, tracheostomy, or infections in 45% (9/20) of the patients. This study demonstrated that ALS is a considerable predisposing factor of TTS and that synucleinopathies rarely cause TTS. The distinct TTS incidence between ALS and synucleinopathies may be due to cardiac sympathetic overactivity in ALS and may also be affected by cardiac sympathetic denervation in synucleinopathies. Moreover, the etiology of TTS in ALS may be reasonably explained by the two-hit theory.

Diacylglycerol Enhances the Effects of Alpha-Linolenic Acid Against Visceral Fat: A Double-Blind Randomized Controlled Trial.

OBJECTIVE: To investigate the effect of alpha-linolenic acid-rich diacylglycerol (ALA-DAG) compared with alpha-linolenic acid-rich triacylglycerol (ALA-TAG) on visceral fat area (VFA) in people with overweight. METHODS: Subjects with overweight were recruited to a randomized, double-blind, controlled, parallel-group designed trial and randomly allocated to two groups that consumed either 2.5 g/d ALA-TAG or ALA-DAG for 12 weeks. Two 4-week nontreatment periods were placed before and after the treatment period. One hundred fourteen subjects (n = 57 in the ALA-TAG group, n = 57 in the ALA-DAG group) were enrolled into the analysis set for efficacy evaluation. RESULTS: The VFA and BMI were significantly decreased by the ALA-DAG treatment with a treatment-by-time interaction compared with the ALA-TAG treatment (P < 0.05). Additionally, the change from baseline of the fasting serum TAG concentration at week 12 was significantly decreased by ALA-DAG treatment compared with ALA-TAG treatment (P < 0.05). Safety parameters such as urinary measurements, hematologic parameters and blood biochemistry, and the incidence of adverse events did not differ significantly between groups, and no ALA-DAG-associated adverse effects were detected. CONCLUSIONS: Incorporation of ALA-DAG in a regular diet for 12 weeks may lead to a reduction in VFA, BMI, and serum TAG in men and women with overweight.

Neurogenic and Myogenic Diseases: Quantitative Texture Analysis of Muscle US Data for Differentiation.

Purpose To assess the multiple texture features of skeletal muscles in neurogenic and myogenic diseases by using ultrasonography (US). Materials and Methods After institutional review board approval, muscle US studies of the medial head of the gastrocnemius were performed prospectively in patients with neurogenic diseases (n = 25 [18 men]; mean age, 66.0 years ± 12.3 [standard deviation]), in patients with myogenic diseases (n = 21 [12 men]; mean age, 68.3 years ± 11.5), and in healthy control subjects (n = 21 [11 men]; mean age, 70.5 years ± 8.4) between January 2013 and May 2016. Written informed consent was obtained. Muscle texture parameters were obtained, and five algorithms were used to classify the groups. Results The neurogenic and myogenic disease groups showed higher echo intensities than the control subjects. The histogram-derived texture parameters had overlaps between the neurogenic and myogenic groups and thus had a low discrimination rate. With assessment of more classes of texture parameters, three groups were correctly classified (100% correct, according to four of five classification algorithms). Tenfold cross validation showed 93.5%-95.7% correct classification between the neurogenic and myogenic groups. The run-length matrix, autoregressive model, and co-occurrence matrix were particularly useful in distinguishing the neurogenic and myogenic groups. Conclusion Texture analysis of muscle US data can enable differentiation between neurogenic and myogenic diseases and is useful in noninvasively assessing underlying disease mechanisms. © RSNA, 2017 Online supplemental material is available for this article.

Which muscle shows fasciculations by ultrasound in patients with ALS?

The purpose of the present study was to elucidate the relative frequencies of fasciculations assessed by sonography in a large number of muscles in patients with amyotrophic lateral sclerosis (ALS). The patients diagnosed as having ALS were retrospectively assessed by muscle sonography. The frequencies of having fasciculations were compared among the 15 muscles and the subtypes according to the initially affected body region. Overall, approximately half of the muscles had fasciculations (48.8%), in the average of 11.4 muscles per patient. The frequency of fasciculations tended to be lower in the patients with longer disease durations upon testing. Biceps brachii had the highest frequency, followed by extensor digitorum communis, whereas sternocleidomastoid and rectus abdominis had the lowest frequencies. The frequencies of fasciculations were similar among the clinical subtypes. In conclusion, in patients with ALS, fasciculations were detected most frequently in proximal arm muscles by sonography, whereas truncal muscles had lower frequencies. Fasciculations tended to be less evident in the advanced disease stage, possibly reflecting muscle degeneration. Appropriate selection of muscles to observe fasciculations is important for diagnosis of ALS.

Sonographic evaluation of cervical nerve roots in ALS and its clinical subtypes.

Morphological assessment of peripheral nerves in amyotrophic lateral sclerosis (ALS) has been available by sonography. Detection of possible axonal atrophy could be important in predicting progression. Research on correlation between sonographic findings and clinical presentation has been sparse. The aim of the study was to assess possible motor axon loss in patients with ALS by sonography and to correlate the imaging features with clinical subtypes. Patients with either definite or probable ALS and control subjects had sonographic evaluation of the cervical nerve roots (C5, C6, and C7). Each diameter and their sums were measured. The ALS patients were classified by their clinical onset and progression (arm-onset, leg-onset, bulbar, and flail-arm variant) and the sonographic features were compared. Overall, the cervical nerve roots were thinner in ALS than in the controls, but the diagnostic sensitivity was low. The patients with arm dysfunctions tended to show thinner nerve roots than those with normal or relatively preserved arm functions. The four ALS subtypes showed similar diameters of the nerve roots. There was no correlation between the disease duration and the diameters of the nerve roots. Sonography of the cervical nerve roots showed axonal atrophy in ALS and potentially reflects subtle arm dysfunctions.

Sonographic evaluation of peripheral nerves in subtypes of Guillain-Barré syndrome.

BACKGROUND: Sonography of peripheral nerves can depict alteration of nerve sizes that could reflect inflammation and edema in inflammatory and demyelinating neuropathies. Guillain-Barré syndrome (GBS). Information on sonographic comparison of an axonal subtype (acute motor [and sensory] axonal neuropathy [AMAN and AMSAN]) and a demyelinating subtype (acute inflammatory demyelinating polyneuropathy [AIDP]) has been sparse. MATERIAL AND METHODS: Sonography of peripheral nerves and cervical nerve roots were prospectively recorded in patients with GBS who were within three weeks of disease onset. RESULTS: Five patients with AIDP and nine with AMAN (n=6)/AMSAN (n=3) were enrolled. The patients with AIDP showed evidence of greater degrees of demyelination (e.g., slower conduction velocities and increased distal latencies) than those with AMAN/AMSAN. The patients with AIDP tended to show enlarged nerves in the proximal segments and in the cervical roots, whereas the patients with AMAN/AMSAN had greater enlargement in the distal neve segment, especially in the median nerve (P = 0.03; Wrist-axilla cross-sectional ratio). CONCLUSION: In this small study, two subtypes of GBS showed different patterns of involvement that might reflect different pathomechanisms.

Impaired Axonal Na(+) Current by Hindlimb Unloading: Implication for Disuse Neuromuscular Atrophy.

This study aimed to characterize the excitability changes in peripheral motor axons caused by hindlimb unloading (HLU), which is a model of disuse neuromuscular atrophy. HLU was performed in normal 8-week-old male mice by fixing the proximal tail by a clip connected to the top of the animal's cage for 3 weeks. Axonal excitability studies were performed by stimulating the sciatic nerve at the ankle and recording the compound muscle action potential (CMAP) from the foot. The amplitudes of the motor responses of the unloading group were 51% of the control amplitudes [2.2 ± 1.3 mV (HLU) vs. 4.3 ± 1.2 mV (Control), P = 0.03]. Multiple axonal excitability analysis showed that the unloading group had a smaller strength-duration time constant (SDTC) and late subexcitability (recovery cycle) than the controls [0.075 ± 0.01 (HLU) vs. 0.12 ± 0.01 (Control), P < 0.01; 5.4 ± 1.0 (HLU) vs. 10.0 ± 1.3 % (Control), P = 0.01, respectively]. Three weeks after releasing from HLU, the SDTC became comparable to the control range. Using a modeling study, the observed differences in the waveforms could be explained by reduced persistent Na(+) currents along with parameters related to current leakage. Quantification of RNA of a SCA1A gene coding a voltage-gated Na(+) channel tended to be decreased in the sciatic nerve in HLU. The present study suggested that axonal ion currents are altered in vivo by HLU. It is still undetermined whether the dysfunctional axonal ion currents have any pathogenicity on neuromuscular atrophy or are the results of neural plasticity by atrophy.

Age-dependent effects on sensory axonal excitability in normal mice.

Serial recordings were performed to measure sensory excitability in peripheral nerves and elucidate age-dependent changes in neuronal ion currents in the peripheral sensory nervous system. The threshold tracking technique was used to measure multiple excitability indices in the tail sensory nerves of five normal male mice at four time points (6, 10, 14, and 19 weeks of age). A separate group of four mice was also measured at 43 weeks and at 60 weeks of age. Maturation was accompanied by an increase in early hyperpolarization and superexcitability at 10 weeks. At 60 weeks, the hyperpolarizing electrotonus shifted downward, while superexcitability became greater and subexcitability (double stimuli) decreased. Computer modeling showed that the most notable age-related interval changes in excitability parameters were Barrett-Barrett, H, and slow K(+) conductances. Understanding age-related changes in the excitability of sensory axons may provide a platform for understanding age-dependent sensory symptoms and developing age-specific channel-targeting therapies.

Varicella-zoster virus-specific cell-mediated immunity in Ramsay Hunt syndrome.

OBJECTIVES/HYPOTHESIS: The etiology of Ramsay Hunt syndrome (Hunt syndrome) is reactivation of latent varicella-zoster virus (VZV) in the geniculate ganglion of the facial nerve, leading to neuritis. Although the mechanism of the VZV reactivation is unclear, one possibility is that the reactivation involves a low level of VZV-specific cell-mediated immunity (CMI). The aim of this study was to clarify the characteristics of the VZV-specific CMI in Hunt syndrome compared to that in Bell's palsy, and to obtain clues to its role in the development of Hunt syndrome. STUDY DESIGN: Prospective study. METHODS: We determined the median spot numbers and examined VZV-specific CMI in patients with Hunt syndrome and with Bell's palsy using interferon-γ enzyme-linked immunospot (ELISPOT) assays. We analyzed the relationship between the value of VZV-specific CMI and days from disease onset. RESULTS: The median spot number in Hunt syndrome (87.3 spot-forming cells [SFCs]/4 × 10(5) peripheral blood mononuclear cells [PBMCs]) was higher than that in Bell's palsy (62.3 SFCs/4 × 10(5) PBMCs). Hunt syndrome showed a strong relationship between the ELISPOT count and days from onset (r = 0.65). Within the first 5 days from onset, no ELISPOT counts higher than 80 SFCs/4 × 10(5) PBMCs were observed. On the other hand, no correlation was observed between the ELISPOT count and days from onset in patients with Bell's palsy (r = -0.19). CONCLUSIONS: These results suggest that VZV-specific CMI in Hunt syndrome is low at disease onset and increases rapidly thereafter. Consequently, reduced VZV-specific CMI may play an important role in the reactivation of VZV in the facial nerve, leading to Hunt syndrome.