Multiple sclerosis (MS) is a chronic debilitating immune-mediated disease of the central nervous system, which causes demyelination and neuroaxonal damage. Low-grade systemic inflammation has been considered to lead to pathogenesis owing to the amplification of pathogenic immune response activation. However, there is a shortage of reliable systemic inflammatory biomarkers to predict the disease activity and progression of MS. In MS patients, a series of cytokines and chemokines promote the proliferation of neutrophils and lymphocytes and their transfer to the central nervous system. The neutrophil-to-lymphocyte ratio (NLR), which combines the information of the inherent and adaptive parts of the immune system, represents a reliable measure of the inflammatory burden. In this review, we aimed to discuss the inflammatory response in MS, mainly the function of lymphocytes and neutrophils, which can be implemented in the utility of NLR as a diagnostic tool in MS patients. The underlying pathophysiology is highlighted to identify new potential targets for neuroprotection and to develop novel therapeutic strategies.

Qingqing Zhou

Rui Jia

Jingxia Dang

Correlation between the Neutrophil-to-Lymphocyte Ratio and Multiple Sclerosis: Recent Understanding and Potential Application Perspectives

<i>Background</i>. Chronic migraine, being a debilitating headache disorder, needs assessment of the risk factors implicated in its occurrence. We investigated the potential role of obesity as a risk for chronic migraine in premenopausal females with episodic migraine. <i>Methods</i>. In this analytical study, body fat% was compared between episodic and chronic migraine patient groups. The standard criteria of the international classification of headache disorder were used for the diagnosis. Demographic data, clinical details of migraine, and anthropometric measurements were collected using structured questions and standardized techniques. Pearson’s correlation (<i>r</i>) was estimated to assess the concordance between body fat% and migraine frequency. High body fat%’s implication on chronic migraine which was adjusted for body mass index (BMI), and the use of oral contraceptives was determined using logistic regression analysis. <i>Results</i>. A total of 168 premenopausal female migraineurs, with a mean (Standard deviation) age of 33.0 (±9.0) years, were enrolled in the study. BMI and high body fat% were significantly associated with chronic migraine (<span class="inline_break"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="18.973pt" style="vertical-align:-3.42938pt" id="M1" height="11.7782pt" version="1.1" viewBox="-0.0498162 -8.34882 18.973 11.7782"><g transform="matrix(.013,0,0,-0.013,0,0)"><path id="g113-113" d="M570 304C570 398 525 448 414 448C385 448 343 445 312 434L329 511L321 518C297 504 262 482 244 460L233 411C195 397 159 381 128 358L135 332C160 347 189 360 224 373L111 -147C97 -210 84 -218 17 -231L13 -257L254 -247L259 -218L233 -216C183 -212 177 -202 189 -142L218 -1C238 -10 266 -12 283 -12C351 3 429 48 483 105C543 168 570 242 570 304ZM482 289C482 161 380 33 304 33C278 33 248 51 233 69L303 396C326 400 352 403 369 403C428 403 482 380 482 289Z"/></g><g transform="matrix(.013,0,0,-0.013,11.342,0)"><path id="g117-91" d="M512 -3V55L134 254V256L512 456V514L75 281V230L512 -3Z"/></g></svg><span class="irelop"/><span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="22.091pt" style="vertical-align:-3.42938pt" height="11.7782pt" version="1.1" viewBox="22.555183800000002 -8.34882 22.091 11.7782"><g transform="matrix(.013,0,0,-0.013,22.605,0)"><path id="g190-254" d="M248 635C97 635 43 457 43 311C43 153 97 -12 247 -12S450 166 450 312C450 466 397 635 248 635ZM246 603C337 603 361 452 361 312S337 20 248 20S132 172 132 313C132 452 156 603 246 603Z"/></g><g transform="matrix(.013,0,0,-0.013,29.038,0)"><path id="g113-47" d="M113 -12C146 -12 170 11 170 46C170 78 146 103 114 103S58 78 58 46C58 11 82 -12 113 -12Z"/></g><g transform="matrix(.013,0,0,-0.013,32.002,0)"><path id="g113-49" d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"/></g><g transform="matrix(.013,0,0,-0.013,38.242,0)"><path id="g113-54" d="M153 550H386L412 615L406 623H120L82 318C104 327 142 338 184 338C294 338 347 275 347 187C347 112 305 39 221 39C160 39 119 71 97 89C88 97 80 96 71 90C59 80 50 67 49 57C48 45 52 36 66 23C80 9 123 -12 169 -12C221 -11 288 15 342 59C403 109 431 165 431 225C431 308 366 395 238 395C212 395 165 379 127 364L153 550Z"/></g></svg>).</span></span> There was a weak positive, but significant, correlation between body fat% and migraine frequency (<i>r</i> = 0.185, <span class="inline_break"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="18.973pt" style="vertical-align:-3.42938pt" id="M2" height="11.7782pt" version="1.1" viewBox="-0.0498162 -8.34882 18.973 11.7782"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-113"/></g><g transform="matrix(.013,0,0,-0.013,11.342,0)"><use xlink:href="#g117-91"/></g></svg><span class="irelop"/><span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="28.354pt" style="vertical-align:-3.42938pt" height="11.7782pt" version="1.1" viewBox="22.555183800000002 -8.34882 28.354 11.7782"><g transform="matrix(.013,0,0,-0.013,22.605,0)"><use xlink:href="#g190-254"/></g><g transform="matrix(.013,0,0,-0.013,29.038,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,32.002,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,38.242,0)"><path id="g113-50" d="M384 0V27C293 34 287 42 287 114V635C232 613 172 594 109 583V559L157 557C201 555 205 550 205 499V114C205 42 199 34 109 27V0H384Z"/></g><g transform="matrix(.013,0,0,-0.013,44.482,0)"><path id="g113-56" d="M447 623H65C61 580 56 530 47 475H76C100 541 106 550 172 550H388C308 376 196 170 91 -1L98 -12L172 -2C268 204 360 408 455 611L447 623Z"/></g></svg>).</span></span> The presence of high body fat was found to increase the risk of chronic migraine by 2.8 times (confidence interval 1.4–5.6; <span class="inline_break"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="18.973pt" style="vertical-align:-3.42938pt" id="M3" height="11.7782pt" version="1.1" viewBox="-0.0498162 -8.34882 18.973 11.7782"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-113"/></g><g transform="matrix(.013,0,0,-0.013,11.342,0)"><use xlink:href="#g117-91"/></g></svg><span class="irelop"/><span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="28.354pt" style="vertical-align:-3.42938pt" height="11.7782pt" version="1.1" viewBox="22.555183800000002 -8.34882 28.354 11.7782"><g transform="matrix(.013,0,0,-0.013,22.605,0)"><use xlink:href="#g190-254"/></g><g transform="matrix(.013,0,0,-0.013,29.038,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,32.002,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,38.242,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,44.482,0)"><path id="g113-52" d="M285 378C315 398 338 416 353 432C373 451 384 474 384 503C384 579 325 635 236 635H235C182 635 136 610 108 579L65 516L85 496C110 533 150 575 205 575C258 575 300 543 300 481C300 407 232 369 141 339L147 310C163 315 188 321 211 321C268 321 338 284 338 192C338 94 288 40 217 40C160 40 119 68 93 91C85 98 77 97 69 91C60 84 47 71 46 58C44 46 48 35 62 22C75 10 116 -12 162 -12C234 -12 424 62 424 224C424 297 373 359 285 376V378Z"/></g></svg>).</span></span> <i>Conclusion</i>. The amount of fat mass in the body relates to the clinical characteristics of migraine. There is an increased risk of developing chronic migraine in patients having high body fat. Weight control measures can be targeted for the prevention of migraine worsening.

Pooja Ojha

Varun Malhotra

Implication of High Body Fat Percentage on Migraine Chronification in Premenopausal Females

<i>Aim</i>. Neuropathic pain affects 7&#x2013;10&#x0025; of the population, with most of the patients receiving inadequate and incomplete treatment. Owing to the high financial burden and the poor quality of life of the patients and their caretakers, there is a dire need to address the challenges in diagnosing and treating chronic neuropathic pain. <i>Methods</i>. This literature review was conducted to review novel treatments and related challenges through a systematic search from sources such as PubMed, Google Scholar with the combination of MESH words such as neuropathic pain, management of neuropathic pain. Articles from non-English literature, reports without human subjects, animal studies, and abstracts/posters were excluded. However, human studies and studies published in English were included. <i>Result</i>. This review article discusses novel treatment modalities while acknowledging the challenges medical workers face while encountering neuropathic pain. Despite the recent advances in diagnosis and treatment modalities, several challenges still exist. Hence, there is still a need to explore the various treatment modalities, emphasizing the cause and underlying pathophysiology of neuropathic pain. <i>Conclusion</i>. We recommend integrated multimodal treatment with the current treatment facility, including various medical disciplines. However, a personalized approach would work the best depending on the &#x2019;patient&#x2019;s medical history. Therefore, this article recommends an integrated, cause-specific, cost-effective approach to address this problem of chronic neuropathic pain.

Namrata Hange

Sujan Poudel

Saleha Ozair

Trissa Paul

Meghna Nambakkam

Rakchhya Shrestha

Farrah Greye

Sangam Shah

Yagya Raj Adhikari

Sangharsha Thapa

Pooja Patel

Managing Chronic Neuropathic Pain: Recent Advances and New Challenges

<i>Background</i>. Since heart failure (HF) and ischemic stroke have common risk factors, their concurrent occurrence is likely. Strokes in HF patients could be life-threatening and lead to severe disabilities, longer hospitalization time, and mortality. The present study aims to investigate the prevalence of HF and its severity based on ejection fraction (EF) in patients with acute ischemic stroke. <i>Methods</i>. The present cross-sectional study included acute ischemic stroke patients admitted to Shahid Rajaei hospital in Karaj in 2020&#x2013;2021. The diagnosis of HF was based on transthoracic echocardiography within 48&#x2009;hours of symptom onset, and HF was classified into two groups: 41&#x2013;49&#x0025; as mildly reduced EF (HFmrEF) and &#x2264;40&#x0025; as reduced EF (HFrEF). Patients who did not complete cardiac studies were excluded. <i>Results</i>. 257 acute ischemic stroke patients (62.6&#x0025; male) were included. Among stroke patients, the prevalence of HF, including HFrEF and HFmrEF, was 30.0&#x0025; (95&#x0025; CI: 21.4&#x2013;38.6). HFmrEF and HFrEF was diagnosed in 32 (12.5&#x0025;) and 45 (17.5&#x0025;) patients, respectively. HF was significantly associated with older age, hypertension, past myocardial infarction (MI), and arrhythmia. A history of previous MI significantly increased the odds of heart failure (OR: 3.25, 95&#x0025; CI: 1.82&#x2013;5.81). <i>Conclusion</i>. There is a high prevalence of HF among acute ischemic stroke patients. Older patients with a history of hypertension and previous MI are at higher risk. Since patients with HF have a higher mortality and morbidity rate after experiencing an ischemic stroke, close cooperation between the neurology and cardiology specialists for providing advanced care for survivors is required.

Fatemeh Ravandi

Arsh Haj Mohamad Ebrahim Ketabforoush

Fereshteh Azedi

Mohsen Hoshyarkhani

Farimah Fayyaz

Nahid Abbasi Khoshsirat

Heart Failure Status among Acute Ischemic Stroke Patients: A Hospital-Based Study

As a noninvasive neuromodulation technique, transcranial magnetic stimulation (TMS) has already exhibited a great impact in clinical application and scientific research. This study presents a finite element method-based simulation of the Halo-V assembly (HVA) coil placed on the five-shell spherical human head model to examine the distributions of induced electric and magnetic fields. The performance of the designed HVA coil is evaluated by comparing the simulation results with the commercially available Halo-FO8 (HFA) assembly coil and standard single coils including the Halo and V coils. The simulation results indicate that the HVA coil shows an improved focality in terms of electric field distribution than the other single and assembly stimulation coils. Additionally, the effects of a magnetic shield plate and magnetic core on the designed HVA coil are investigated. Results indicate that the magnetic shield plate and magnetic core are proficient in further improving the stimulation focality. Therefore, the HVA TMS coil results in a safe and effective stimulation with enhanced focality of the target region as compared to the existing assembly coil.

Khaleda Akhter Sathi

Md. Kamal Hosain

Md. Azad Hossain

Analysis of Induced Field in the Brain Tissue by Transcranial Magnetic Stimulation Using Halo-V Assembly Coil

There has been an increasing incidence of stroke cases among SARS-CoV-2 (COVID-19) patients who were deeply sedated and underwent proning positioning. We reviewed the association of proning and sedations used to the development of stroke, including demographic profiles of patients with COVID-19 infection in the critical care unit. There was a significant association seen among COVID-19 patients in the ICU who underwent proning to the development of stroke, with up to 15 times risk of having stroke (<svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-3.42943pt" id="M1" height="10.2124pt" version="1.1" viewBox="-0.0498162 -6.78297 7.83752 10.2124" width="7.83752pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><path id="g113-113" d="M570 304C570 398 525 448 414 448C385 448 343 445 312 434L329 511L321 518C297 504 262 482 244 460L233 411C195 397 159 381 128 358L135 332C160 347 189 360 224 373L111 -147C97 -210 84 -218 17 -231L13 -257L254 -247L259 -218L233 -216C183 -212 177 -202 189 -142L218 -1C238 -10 266 -12 283 -12C351 3 429 48 483 105C543 168 570 242 570 304ZM482 289C482 161 380 33 304 33C278 33 248 51 233 69L303 396C326 400 352 403 369 403C428 403 482 380 482 289Z"/></g></svg> value = 0.007) than those who were not proned during their course of ICU stay. Patients who were given propofol and fentanyl as sedation during proning for more than 24 hours was significantly associated with the development of stroke (<svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-3.42943pt" id="M2" height="10.2124pt" version="1.1" viewBox="-0.0498162 -6.78297 7.83752 10.2124" width="7.83752pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-113"/></g></svg> value = 0.004). Patient risk factors were also studied (age variability, hypertension, diabetes, smoking, and alcoholism) and showed that patients who were alcoholic beverage drinkers were significantly associated to the development of stroke during proning (<svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-3.42943pt" id="M3" height="10.2124pt" version="1.1" viewBox="-0.0498162 -6.78297 7.83752 10.2124" width="7.83752pt"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-113"/></g></svg> value = &lt;0.001). The usual risk factors for stroke in the general population (hypertension, diabetes, and cigarette smoking) were not associated with stroke development during proning, strengthening the fact that proning during COVID-19 infection is an independent risk factor for the development of stroke thus needing stroke surveillance during the duration of proning.

Keith Moon Q. Saberon

Jo-Ann Rosario Soliven

The Association of Proning and Stroke among Deeply Sedated Critically Ill SARS-CoV-2 (COVID-19) Patients

<i>Background and Objectives</i>. Amyotrophic lateral sclerosis (ALS) is a lethal neurodegenerative disease, characterized by gradual paralysis and muscle atrophy. Riluzole, the only approved treatment in Norway, increases mean survival by 3&#x2013;6 months. The use of off-label medications and nutritional supplements is common in other serious conditions, such as Parkinson&#x2019;s disease and dementia. The aims of this study were to investigate to what extent Norwegian ALS patients use supplements and off-label medications and whether this is related to their health-related quality-of-life (HRQOL). <i>Materials and Methods</i>. A cross-sectional questionnaire study was performed, where 41 ALS patients reported their use of off-label treatments, as well as self-perceived HRQOL using the RAND-12 questionnaire. <i>Results</i>. A majority of respondents used riluzole. Of the 41 respondents, 18 (43.9&#x0025;) reported use of off-label medications and 18 (43.9&#x0025;) used nutritional supplements. Low-dose naltrexone was the most commonly used off-label medication, whereas vitamins accounted for most of the nutritional supplements. The respondents&#x2019; RAND-12 component scores were significantly lower than those of the general population. Low-dose naltrexone and vitamin B were associated with a better physical component score. <i>Conclusions</i>. Most of the respondents in our study adhere to the recommended treatment protocols, as less than half of them reported using off-label medications or nutritional supplements against ALS. Positive correlations between physical HRQOL and use of low-dose naltrexone or vitamin B were demonstrated. These results warrant further investigations.

Gard Aasmund Skulstad Johanson

Ole-Bj&#xf8;rn Tysnes

Tale L. Bjerknes

Use of Off-Label Drugs and Nutrition Supplements among Patients with Amyotrophic Lateral Sclerosis in Norway

<i>Background</i>. Tourette’s syndrome (TS), a chronic, often disabling neuropsychiatric disorder characterized by motor and vocal tics, is frequently misdiagnosed, or patients are delayed in diagnosis. There is severe deficiency of research about Tourette’s syndrome (TS) in the Middle East region. <i>Objectives</i>. To evaluate the knowledge and attitude of medical students and primary care physicians (PCPs) about TS and tic disorders. <i>Methods</i>. IRB approved, cross-sectional study. A total of 316 medical students of King Saud bin Abdulaziz University and 59 primary care physicians of Riyadh participated. Convenient, cluster sampling was used. A validated, self-administered questionnaire was used. Sum of all knowledge questions was calculated. Data were analyzed using SPSS software. <i>Results</i>. Survey was completed by 375 students and physicians, of whom 253 (67.5%) were men. Mean general knowledge score was 61.5 (±12.04) out of 100. Majority (66.1%) knew the diagnostic criteria for TS; only 46.1% considered antipsychotics as effective treatment. Only 25.1% had ever heard of habit reversal; 70% wanted to learn more. Only 10% of physicians had treated a patient with TS. There was no difference in knowledge between men and women (<span class="inline_break"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="18.973pt" style="vertical-align:-3.42938pt" id="M1" height="11.7782pt" version="1.1" viewBox="-0.0498162 -8.34882 18.973 11.7782"><g transform="matrix(.013,0,0,-0.013,0,0)"><path id="g113-113" d="M570 304C570 398 525 448 414 448C385 448 343 445 312 434L329 511L321 518C297 504 262 482 244 460L233 411C195 397 159 381 128 358L135 332C160 347 189 360 224 373L111 -147C97 -210 84 -218 17 -231L13 -257L254 -247L259 -218L233 -216C183 -212 177 -202 189 -142L218 -1C238 -10 266 -12 283 -12C351 3 429 48 483 105C543 168 570 242 570 304ZM482 289C482 161 380 33 304 33C278 33 248 51 233 69L303 396C326 400 352 403 369 403C428 403 482 380 482 289Z"/></g><g transform="matrix(.013,0,0,-0.013,11.342,0)"><path id="g117-34" d="M535 323V373H52V323H535ZM535 138V188H52V138H535Z"/></g></svg><span class="irelop"/><span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="28.184pt" style="vertical-align:-3.42938pt" height="11.7782pt" version="1.1" viewBox="22.555183800000002 -8.34882 28.184 11.7782"><g transform="matrix(.013,0,0,-0.013,22.605,0)"><path id="g113-49" d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"/></g><g transform="matrix(.013,0,0,-0.013,28.845,0)"><path id="g113-47" d="M113 -12C146 -12 170 11 170 46C170 78 146 103 114 103S58 78 58 46C58 11 82 -12 113 -12Z"/></g><g transform="matrix(.013,0,0,-0.013,31.809,0)"><path id="g113-56" d="M447 623H65C61 580 56 530 47 475H76C100 541 106 550 172 550H388C308 376 196 170 91 -1L98 -12L172 -2C268 204 360 408 455 611L447 623Z"/></g><g transform="matrix(.013,0,0,-0.013,38.051,0)"><use xlink:href="#g113-56"/></g><g transform="matrix(.013,0,0,-0.013,44.293,0)"><path id="g113-55" d="M137 343C167 482 260 545 321 574C357 591 397 603 429 609L423 641C382 634 335 622 295 608C189 570 37 457 37 238C37 84 125 -12 242 -12C362 -12 447 89 447 209C447 311 374 393 267 393C247 393 226 386 204 376L137 343ZM227 337C318 337 361 256 361 173C361 105 336 22 258 22C176 22 126 120 126 240C126 266 127 291 132 310C155 323 189 337 227 337Z"/></g></svg>).</span></span> Board-certified physicians had a higher knowledge score (<span class="inline_break"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="18.973pt" style="vertical-align:-3.42938pt" id="M2" height="11.7782pt" version="1.1" viewBox="-0.0498162 -8.34882 18.973 11.7782"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-113"/></g><g transform="matrix(.013,0,0,-0.013,11.342,0)"><path id="g117-91" d="M512 -3V55L134 254V256L512 456V514L75 281V230L512 -3Z"/></g></svg><span class="irelop"/><span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="21.921pt" style="vertical-align:-3.42938pt" height="11.7782pt" version="1.1" viewBox="22.555183800000002 -8.34882 21.921 11.7782"><g transform="matrix(.013,0,0,-0.013,22.605,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,28.845,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,31.809,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,38.049,0)"><path id="g113-54" d="M153 550H386L412 615L406 623H120L82 318C104 327 142 338 184 338C294 338 347 275 347 187C347 112 305 39 221 39C160 39 119 71 97 89C88 97 80 96 71 90C59 80 50 67 49 57C48 45 52 36 66 23C80 9 123 -12 169 -12C221 -11 288 15 342 59C403 109 431 165 431 225C431 308 366 395 238 395C212 395 165 379 127 364L153 550Z"/></g></svg>).</span></span> Family physicians demonstrated higher level of knowledge compared to other physicians (<span class="inline_break"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="18.973pt" style="vertical-align:-3.42938pt" id="M3" height="11.7782pt" version="1.1" viewBox="-0.0498162 -8.34882 18.973 11.7782"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-113"/></g><g transform="matrix(.013,0,0,-0.013,11.342,0)"><use xlink:href="#g117-91"/></g></svg><span class="irelop"/><span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="21.921pt" style="vertical-align:-3.42938pt" height="11.7782pt" version="1.1" viewBox="22.555183800000002 -8.34882 21.921 11.7782"><g transform="matrix(.013,0,0,-0.013,22.605,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,28.845,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,31.809,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,38.049,0)"><use xlink:href="#g113-54"/></g></svg>).</span></span> There was no difference between knowledge of students of different years (<span class="inline_break"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="18.973pt" style="vertical-align:-3.42938pt" id="M4" height="11.7782pt" version="1.1" viewBox="-0.0498162 -8.34882 18.973 11.7782"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-113"/></g><g transform="matrix(.013,0,0,-0.013,11.342,0)"><use xlink:href="#g117-34"/></g></svg><span class="irelop"/><span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="28.184pt" style="vertical-align:-3.42938pt" height="11.7782pt" version="1.1" viewBox="22.555183800000002 -8.34882 28.184 11.7782"><g transform="matrix(.013,0,0,-0.013,22.605,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,28.845,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,31.809,0)"><path id="g113-57" d="M249 635C141 635 70 555 70 471C70 401 114 353 179 316C143 294 106 267 90 252C68 231 45 202 45 157C45 50 130 -12 237 -12C322 -12 435 52 435 169C435 256 372 304 303 343C349 374 375 398 383 407C401 429 411 458 411 487C411 569 344 635 249 635ZM238 603C285 603 337 567 337 482C337 422 310 385 276 358C205 393 145 426 145 500C145 552 179 603 238 603ZM248 20C183 20 125 70 125 163C125 218 158 268 206 300C284 261 355 217 355 143C355 66 308 20 248 20Z"/></g><g transform="matrix(.013,0,0,-0.013,38.049,0)"><use xlink:href="#g113-54"/></g><g transform="matrix(.013,0,0,-0.013,44.289,0)"><path id="g113-58" d="M244 635C114 635 38 519 38 422C38 317 111 240 217 240C236 240 255 244 277 256L345 292C311 140 203 39 59 15L64 -15C89 -15 150 -5 204 17C339 72 440 202 440 386C440 521 368 635 244 635ZM228 602C326 602 352 479 352 390C352 370 351 347 348 324C327 308 293 296 258 296C174 296 124 369 124 458C124 517 152 602 228 602Z"/></g></svg>)</span></span> or between students and physicians (<span class="inline_break"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="18.973pt" style="vertical-align:-3.42938pt" id="M5" height="11.7782pt" version="1.1" viewBox="-0.0498162 -8.34882 18.973 11.7782"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-113"/></g><g transform="matrix(.013,0,0,-0.013,11.342,0)"><use xlink:href="#g117-34"/></g></svg><span class="irelop"/><span class="nowrap"><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="28.184pt" style="vertical-align:-3.42938pt" height="11.7782pt" version="1.1" viewBox="22.555183800000002 -8.34882 28.184 11.7782"><g transform="matrix(.013,0,0,-0.013,22.605,0)"><use xlink:href="#g113-49"/></g><g transform="matrix(.013,0,0,-0.013,28.845,0)"><use xlink:href="#g113-47"/></g><g transform="matrix(.013,0,0,-0.013,31.809,0)"><use xlink:href="#g113-54"/></g><g transform="matrix(.013,0,0,-0.013,38.049,0)"><use xlink:href="#g113-55"/></g><g transform="matrix(.013,0,0,-0.013,44.289,0)"><use xlink:href="#g113-58"/></g></svg>).</span></span> <i>Conclusion</i>. There was alarming lack of knowledge about Tourette syndrome at various level of medical training and practice including students and physicians. Those who achieved board certification and practiced as family physicians fared better in knowledge about Tourette’s syndrome.

Anas A. Alalwan

Mohammad A. Alkhamis

Ahmad M. Samman

Enan H. M. Alsharif

Omar E. M. Tarabzoni

Ismail A. Khatri

The Assessment of Knowledge about Tourette&#x2019;s Syndrome among Medical Students and Primary Physicians in Riyadh, Saudi Arabia: A Cross-Sectional Study

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with no effective treatment or cure. ALS is characterized by the death of lower motor neurons (LMNs) in the spinal cord and upper motor neurons (UMNs) in the brain and their networks. Since the lower motor neurons are under the control of UMN and the networks, cortical degeneration may play a vital role in the pathophysiology of ALS. These changes that are not apparent on routine imaging with CT scans or MRI brain can be identified using modalities such as diffusion tensor imaging, functional MRI, arterial spin labelling (ASL), electroencephalogram (EEG), magnetoencephalogram (MEG), functional near-infrared spectroscopy (fNIRS), and positron emission tomography (PET) scan. They can help us generate a representation of brain networks and connectivity that can be visualized and parsed out to characterize and quantify the underlying pathophysiology in ALS. In addition, network analysis using graph measures provides a novel way of understanding the complex network changes occurring in the brain. These have the potential to become biomarker for the diagnosis and treatment of ALS. This article is a systematic review and overview of the various connectivity and network-based studies in ALS.

Vijay Renga

Brain Connectivity and Network Analysis in Amyotrophic Lateral Sclerosis

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<p><em>Neurology Research International</em> focuses on diseases of the nervous system, as well as normal neurological functioning. Research topics&nbsp;include&nbsp;basic, translational, and clinical research, including animal models and clinical trials.</p>


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Neurology Research International focuses on diseases of the nervous system, as well as normal neurological functioning. Research topics include basic, translational, and clinical research, including animal models and clinical trials.

Neurology Research International