Prevalence, Treatment, and Unmet Needs of Migraine in the Middle East: A Systematic Review.

Introduction: Migraine is a debilitating neurological disorder characterized by recurrent throbbing, moderate-to-severe headaches that disrupt daily chores, leisure, and social activities of patients, impacting their overall quality of life (QoL). Despite the high disease burden, there is a scarcity of data on migraines within the Middle East (ME) region. Thus, a systematic literature review (SLR) was conducted to examine epidemiological data, treatment patterns, QoL, and unmet needs regarding migraines in the ME region.

Clinical and Biochemical Analysis of Glutamate-Cysteine Ligase Deficiency Presented with Late-Onset Spinocerebellar Ataxia and Hemolytic Anemia.

Introduction: Glutamate-cysteine ligase catalytic subunit (GCLC), previously known as gamma-glutamyl-cysteine synthetase, is an essential rate-limiting step in glutathione synthesis. Glutathione modulates multitudes of critical cellular processes and scavenges free radicals. Its deficiency is reported to cause hemolysis of variable severity and is a rare cause of neurological abnormalities such as spinocerebellar ataxia.

Neurobrucellosis complicated by primary pyogenic ventriculitis: a case report.

Neurobrucellosis is a serious focal brucella infection. Ventriculitis is a special form of central nervous infection where pyogenic infection of the ependymal linings hinders antibiotics' accessibility to the cerebrospinal fluids and leads to protracted infection. We present a case of a 37-year-old Shepherd who had low-grade fever for 5 months followed by a brief history of vomiting, abdominal pain, and gait imbalance.

New-onset severe eosinophilic granulomatosis with polyangiitis following the third dose of mRNA COVID-19 vaccine: A case report.

Eosinophilic granulomatosis with polyangiitis (EGPA) is a complex multifactorial disease that results in multisystemic inflammation of the small- and medium-sized arteries. The exact pathogenesis of this syndrome is poorly understood, but it is postulated to result from a combination of eosinophilic dysfunction, genetic predisposition, and the development of autoantibodies after exposure to an unknown stimulus. We describe a case of new-onset EGPA following the third dose of the Pfizer-BioNTech mRNA vaccine in an infection-naive middle-aged man with a background history of allergic respiratory symptoms.

A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument.

Diabetic sensorimotor polyneuropathy (DSPN) is a serious long-term complication of diabetes, which may lead to foot ulceration and amputation. Among the screening tools for DSPN, the Michigan neuropathy screening instrument (MNSI) is frequently deployed, but it lacks a straightforward rating of severity. A DSPN severity grading system has been built and simulated for the MNSI, utilizing longitudinal data captured over 19 years from the Epidemiology of Diabetes Interventions and Complications (EDIC) trial.

Atypical Guillain-Barre syndrome with T6 sensory level.

Guillain-Barré syndrome is an acute immune-mediated demyelinating disease. Typical features include progressive ascending lower extremity weakness and areflexia. Several variants have been described that can make the diagnosis challenging.

Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature.

An intelligent insole system may monitor the individual's foot pressure and temperature in real-time from the comfort of their home, which can help capture foot problems in their earliest stages. Constant monitoring for foot complications is essential to avoid potentially devastating outcomes from common diseases such as diabetes mellitus. Inspired by those goals, the authors of this work propose a full design for a wearable insole that can detect both plantar pressure and temperature using off-the-shelf sensors.

Lesion Localization and Prognosis Using Electrodiagnostic Studies in Facial Diplegia: A Rare Variant of Guillain-Barre Syndrome.

Background The etiology of facial nerve palsy is diverse and includes herpes zoster virus, Guillain-Barre syndrome (GBS), otitis media, Lyme disease, sarcoidosis, human immunodeficiency virus, etc. The lower motor neuron type facial nerve palsy is usually caused by an ipsilateral facial nerve lesion; however, it may be caused by a central lesion of the facial nerve nucleus and tract in the pons. Facial diplegia is an extremely rare condition that occurs in approximately 0.

Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait.

Diabetic neuropathy (DN) is one of the prevalent forms of neuropathy that involves alterations in biomechanical changes in the human gait. Diabetic foot ulceration (DFU) is one of the pervasive types of complications that arise due to DN. In the literature, for the last 50 years, researchers have been trying to observe the biomechanical changes due to DN and DFU by studying muscle electromyography (EMG) and ground reaction forces (GRF).

Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis.

The electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) signals, highly non-stationary in nature, greatly suffers from motion artifacts while recorded using wearable sensors. Since successful detection of various neurological and neuromuscular disorders is greatly dependent upon clean EEG and fNIRS signals, it is a matter of utmost importance to remove/reduce motion artifacts from EEG and fNIRS signals using reliable and robust methods. In this regard, this paper proposes two robust methods: (i) Wavelet packet decomposition (WPD) and (ii) WPD in combination with canonical correlation analysis (WPD-CCA), for motion artifact correction from single-channel EEG and fNIRS signals.

Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification Using Nerve Conduction Studies.

Background: Diabetic sensorimotor polyneuropathy (DSPN) is a major form of complication that arises in long-term diabetic patients. Even though the application of machine learning (ML) in disease diagnosis is very common and well-established in the field of research, its application in DSPN diagnosis using nerve conduction studies (NCS), is very limited in the existing literature.

Method: In this study, the NCS data were collected from the Diabetes Control and Complications Trial (DCCT) and its follow-up Epidemiology of Diabetes Interventions and Complications (EDIC) clinical trials.

An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning.

Tai Chi has been proven effective in preventing falls in older adults, improving the joint function of knee osteoarthritis patients, and improving the balance of stroke survivors. However, the effect of Tai Chi on human gait dynamics is still less understood. Studies conducted in this domain only relied on statistical and clinical measurements on the time-series gait data.

COVID-19 vaccine causing Guillain-Barre syndrome, a rare potential side effect.

Patients with neurological symptoms should be enquired about recent vaccination history. It is important after the COVID-19 mRNA vaccine, which is newly introduced as it might link to the development of a wider variety of neurological diseases.

Expert review and recommendations for the management of acute, chronic, and neuropathic pain in Qatar.

Background: Pain management is an evolving area of expertise in Qatar. Gaps in knowledge, inadequate training for physicians and nurses, and the absence of policies/guidelines are the main barriers to effective pain management in Qatar. In addition, the use of certain pain medication, especially opioids, is highly regulated, limiting their availability in outpatient pain management.

Ischaemic stroke as the presenting feature of COVID-19: a series of three cases from Qatar.

Most cases of stroke associated with coronavirus disease 2019 (COVID-19) occur during the course of a characteristic COVID-19 respiratory illness. We report three patients where the presenting feature of COVID-19 was stroke. Two patients had no respiratory symptoms throughout their clinical course.

Mitochondrial abnormalities in dermatomyositis: characteristic pattern of neuropathology.

The objective of the work described in this paper was to evaluate mitochondrial abnormalities in perifascicular atrophic fibers in muscle biopsies from patients with dermatomyositis (DM). We localized cytochrome c oxidase (COX) and succinate dehydrogenase (SDH) histochemically in muscle biopsies of 12 patients with DM, and 12 control patients with neurogenic atrophy. These two histochemical techniques were also combined on single tissue sections in order to accentuate any COX-negative fibers.