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Indigenous breeds of cattle are suitable for varying climatic conditions of the tropical environment by virtue of a series of species-specific traits and adaptive strategies. Such traits and adaptive strategies could be generally classed into morphological/anatomical, physiological, behavioural, neuro-endocrine, haematological, and molecular and cellular features. At the same time, over the years it is found that the population of indigenous cattle is decreasing at a faster rate all over the world. This is mainly due to the preponderance of crosses of indigenous cattle with exotic/temperate high producing cattle for improved milk production. As a result, if suitable measures are not taken for conserving indigenous breeds of cattle, the diversity will go down drastically and may at one stage become highly endangered in status. For working out conservation plans and breeding strategies, the fundamental requirements include genetic characterization by means of gene and microsatellite markers along with evaluation of genetic variability, population structure and composition. Conserving the diversity of indigenous germplasm will help to choose breeds of cattle that adapt to changing climatic environment. Such an approach could help in formulating strategies for conservation and breeding plans and further could also lay the foundation for effective utilisation of indigenous cattle under different production systems.

The log-normal distribution is widely used to model positive valued data in many areas of applied research. However, sometimes the log-normal distribution does not completely satisfy the fitting expectations in every real life situations. In this paper, we introduce, investigate, and discuss a more flexible shifted hybrid log-normal distribution for which the log-normal distribution is a special case. Also, various properties, special cases and estimation procedure of the new distribution are discussed. Moreover, the performances of maximum likelihood estimators of the parameters are examined using a brief simulation study. The flexibility and performance of the newdistribution is also illustrated through two applications by fitting two real datasets of different situations.

Single server Retrial Queueing model with system repair and breakdown under non-preemptive priority is considered in this paper. The study of the model so far is mostly explored only for steady state solutions with few exceptions to Transient solutions. Though some researchers have attempted transient solution to the model analytically, the solution thus obtained is more complicated that it cannot be solved. In this context, we have found the transient numerical solution to the model using eigenvalues and eigenvectors. Time dependent system performance measures and probability distributions are evaluated and validated with steady state solutions. [ABSTRACT FROM AUTHOR]

In this article, the Lagrange expansion of the second kind is used to generate a novel zero-truncated Katz distribution; we refer to it as the Lagrangian zero-truncated Katz distribution (LZTKD). Notably, the zero-truncated Katz distribution is a special case of this distribution. Along with the closed form expression of all its statistical characteristics, the LZTKD is proven to provide an adequate model for both underdispersed and overdispersed zero-truncated count datasets. Specifically, we show that the associated hazard rate function has increasing, decreasing, bathtub, or upside-down bathtub shapes. Moreover, we demonstrate that the LZTKD belongs to the Lagrangian distribution of the first kind. Then, applications of the LZTKD in statistical scenarios are explored. The unknown parameters are estimated using the well-reputed method of the maximum likelihood. In addition, the generalized likelihood ratio test procedure is applied to test the significance of the additional parameter. In order to evaluate the performance of the maximum likelihood estimates, simulation studies are also conducted. The use of real-life datasets further highlights the relevance and applicability of the proposed model.

Objective: The purpose of this study was to evaluate if the cognitive benefit of rivastigmine is affected by the presence of orthostatic hypotension (OH) in patients with Parkinson's disease dementia (PDD). Methods: We conducted a post hoc analysis on 1,047 patients with PDD from 2 randomized controlled trials comparing rivastigmine versus placebo at week 24 (n = 501) and rivastigmine patch versus capsule at week 76 (n = 546). A drop ≥ 20 mm Hg in systolic blood pressure (SBP) or ≥ 10 in diastolic blood pressure (DBP) upon standing classified subjects as OH positive (OH+); otherwise, OH negative (OH‐). The primary end point was the Alzheimer's Disease Assessment Scale ‐ Cognitive subscale (ADAS‐Cog) at week 24 and the Mattis Dementia Rating Scale (MDRS) at week 76, using intention‐to‐treat with retrieved dropout at week 24 and observed cases at week 76, consistent with the original analyses. Results: Overall safety was comparable between OH+ (n = 288, 27.5%) and OH‐ (n = 730, 69.7%), except for higher frequency of syncope (9.2%) in the OH+ placebo arm. The placebo‐adjusted effect of rivastigmine on ADAS‐Cog at week 24 was 5.6 ± 1.2 for OH+ and 1.9 ± 0.9 in OH‐ (p = 0.0165). Among subjects with OH, the MDRS change from baseline at week 76 was higher for rivastigmine capsules versus patch (10.6 ± 2.9 vs ‐1.5 ± 3.0, p = 0.031). The overall prevalence of OH was lower for rivastigmine than placebo at week 24 (28.3% vs 44.6%, p = 0.0476). Interpretation: The cognitive benefit from rivastigmine is larger in patients with PDD with OH, possibly mediated by a direct antihypotensive effect. ANN NEUROL 2021;89:91–98 [ABSTRACT FROM AUTHOR]

The zero-truncated Poisson distribution (ZTPD) generates a statistical model that could be appropriate when observations begin once at least one event occurs. The intervened Poisson distribution (IPD) is a substitute for the ZTPD, in which some intervention processes may change the mean of the rare events. These two zero-truncated distributions exhibit underdispersion (i.e., their variance is less than their mean). In this research, we offer an alternative solution for dealing with intervention problems by proposing a generalization of the IPD by a Lagrangian approach called the Lagrangian intervened Poisson distribution (LIPD), which in fact generalizes both the ZTPD and the IPD. As a notable feature, it has the ability to analyze both overdispersed and underdispersed datasets. In addition, the LIPD has a closed-form expression of all of its statistical characteristics, as well as an increasing, decreasing, bathtub-shaped, and upside-down bathtub-shaped hazard rate function. A consequent part is devoted to its statistical application. The maximum likelihood estimation method is considered, and the effectiveness of the estimates is demonstrated through a simulated study. To evaluate the significance of the new parameter in the LIPD, a generalized likelihood ratio test is performed. Subsequently, we present a new count regression model that is suitable for both overdispersed and underdispersed datasets using the mean-parametrized form of the LIPD. Additionally, the LIPD’s relevance and application are shown using real-world datasets.

The importance of Lagrangian distributions and their applicability in real-world events have been highlighted in several studies. In light of this, we create a new zero-truncated Lagrangian distribution. It is presented as a generalization of the zero-truncated binomial distribution (ZTBD) and hence named the Lagrangian zero-truncated binomial distribution (LZTBD). The moments, probability generating function, factorial moments, as well as skewness and kurtosis measures of the LZTBD are discussed. We also show that the new model’s finite mixture is identifiable. The unknown parameters of the LZTBD are estimated using the maximum likelihood method. A broad simulation study is executed as an evaluation of the well-established performance of the maximum likelihood estimates. The likelihood ratio test is used to assess the effectiveness of the third parameter in the new model. Six COVID-19 datasets are used to demonstrate the LZTBD’s applicability, and we conclude that the LZTBD is very competitive on the fitting objective.

Summary: Background: In both acute graft‐versus‐host disease (GVHD) and lupus erythematosus (LE), the patient's own tissues are subjected to immunological assault via complex mechanisms influenced by interferon (IFN) and other cytokines. Although not typically confused clinically, these entities have overlapping histopathological findings in the skin. Aim: To assess whether GVHD can be differentiated from LE using molecular methods on skin specimens. Methods: We developed a quantitative reverse transcription PCR assay based on previously identified tissue‐based biomarkers of cutaneous GVHD, and compared gene expression in GVHD with that in LE. Results: Both entities showed robust expression of IFN‐induced genes and of genes encoding proteins involved in antigen presentation, cell signalling and tissue repair. Levels of gene expression differed significantly in GVHD compared with LE, particularly those of IFN‐induced genes such as MX1,OAS3,TAP1 and STAT3 (P < 0.01). Three logistic regression models could differentiate the two entities with a high degree of certainty (receiver operating characteristic area under the curve of 1.0). Conclusion: The study demonstrates the feasibility of distinguishing between microscopically similar inflammatory dermatoses using tissue‐based molecular techniques. [ABSTRACT FROM AUTHOR]

In this paper we develop a bivariate discrete modifiedWeibull (BDMW) distribution and derived some of its important properties such as joint survival function, marginal survival function, conditional survival function, joint probability generating function and hazard rate function. The significance of additional parameter in BDMW is tested using generalized likelihood ratio test. Also we construct a finite mixture ofBDMWand established its identifiability condition. Certain properties of the mixture model are derived. The parameters of BDMW are estimated through method of maximum likelihood.

In this paper, we construct a new Lagrangian discrete distribution, named the Lagrangian zero truncated Poisson distribution (LZTPD). It can be presented as a generalization of the zero truncated Poissson distribution (ZTPD) and an alternative to the intervened Poisson distribution (IPD), which was elaborated for modelling both over-dispersed and under-dispersed count datasets. The mathematical aspects of the LZTPD are thoroughly investigated, and its connection to other discrete distributions is crucially observed. Further, we define a finite mixture of LZTPDs and establish its identifiability condition along with some distributional aspects. Statistical work is then performed. The maximum likelihood and method of moment approaches are used to estimate the unknown parameters of the LZTPD. Simulation studies are also undertaken as an assessment of the long-term performance of the estimates. The significance of one additional parameter in the LZTPD is tested using a generalized likelihood ratio test. Moreover, we propose a new count regression model named the Lagrangian zero truncated Poisson regression model (LZTPRM) and its parameters are estimated by the maximum likelihood estimation method. Two real-world datasets are considered to demonstrate the LZTPD’s real-world applicability, and healthcare data are analyzed to demonstrate the LZTPRM’s superiority.

Several pieces of research have spotlighted the importance of count data modelling and its applications in real-world phenomena. In light of this, a novel two-parameter compound-Poisson distribution is developed in this paper. Its mathematical functionalities are investigated. The two unknown parameters are estimated using both maximum likelihood and Bayesian approaches. We also offer a parametric regression model for the count datasets based on the proposed distribution. Furthermore, the first-order integer-valued autoregressive process, or INAR(1) process, is also used to demonstrate the utility of the suggested distribution in time series analysis. The unknown parameters of the proposed INAR(1) model are estimated using the conditional maximum likelihood, conditional least squares, and Yule–Walker techniques. Simulation studies for the suggested distribution and the INAR(1) model based on this innovative distribution are also undertaken as an assessment of the long-term performance of the estimators. Finally, we utilized three real datasets to depict the new model’s real-world applicability.

Many studies have underlined the importance of the log-normal distribution in the modeling of phenomena occurring in biology. With this in mind, in this article we offer a new and motivated transformed version of the log-normal distribution, primarily for use with biological data. The hazard rate function, quantile function, and several other significant aspects of the new distribution are investigated. In particular, we show that the hazard rate function has increasing, decreasing, bathtub, and upside-down bathtub shapes. The maximum likelihood and Bayesian techniques are both used to estimate unknown parameters. Based on the proposed distribution, we also present a parametric regression model and a Bayesian regression approach. As an assessment of the longstanding performance, simulation studies based on maximum likelihood and Bayesian techniques of estimation procedures are also conducted. Two real datasets are used to demonstrate the applicability of the new distribution. The efficiency of the third parameter in the new model is tested by utilizing the likelihood ratio test. Furthermore, the parametric bootstrap approach is used to determine the effectiveness of the suggested model for the datasets.

The yellow color of Cheddar cheese whey arises from a residual amount of annatto that partitions into the whey during Cheddar cheese manufacture. Bleaching of the color using hydrogen peroxide or benzoyl peroxide is often a prerequisite to produce an acceptable neutral-colored whey protein concentrate and isolate. However, the use of these strong oxidizing agents often generates off-flavors as a result of lipid oxidation and results in loss of nutritive value due to protein oxidation. The objective of this study was to determine the extent of partitioning of annatto between protein, milk fat globule membrane (MFGM), and aqueous (serum) phases of cheese whey so that a simple method can be developed to remove annatto from cheese whey. The MFGM was separated from Cheddar cheese whey using a recently developed novel method. Quantitative analysis of the distribution of annatto in the fat-free whey protein isolate (WPI), the MFGM fractions, and the serum phase revealed that annatto was not bound to the protein fraction but was mostly distributed between the serum phase and the MFGM fraction. The results showed that a colorless WPI or whey protein concentrate could be produced from Cheddar cheese whey by separation of MFGM from the whey, followed by diafiltration. This approach will negate the need for using bleaching agents. [ABSTRACT FROM AUTHOR]

Malaria is the third leading cause of death due to infectious diseases affecting around 243 million people, causing 863,000 deaths each year, and is a major public health problem. Most of the malarial deaths occur in children below 5 years and is a major contributor of under-five mortality. As a result of environmental and climatic changes, there is a change in vector population and distribution, leading to resurgence of malaria at numerous foci. Resistance to antimalarials is a major challenge to malaria control and there are new drug developments, new approaches to treatment strategies, combination therapy to overcome resistance and progress in vaccine development. Now, artemisinin-based combination therapy is the first-line therapy as the malarial parasite has developed resistance to other antimalarials. Reports of artemisinin resistance are appearing and identification of new drug targets gains utmost importance. As there is a shift from malaria control to malaria eradication, more research is focused on malaria vaccine development. A malaria vaccine, RTS,S, is in phase III of development and may become the first successful one. Due to resistance to insecticides and lack of environmental sanitation, the conventional methods of vector control are turning out to be futile. To overcome this, novel strategies like sterile insect technique and transgenic mosquitoes are pursued for effective vector control. As a result of the global organizations stepping up their efforts with continued research, eradication of malaria can turn out to be a reality. [ABSTRACT FROM AUTHOR]

Presents information on a failure compression test while focusing on a standardized procedure for protein gelation. Materials and methods used in this study; Background information on protein gel preparation; Description of gel testing.

The article focuses on the efficacy of telavancin as lipoglycopeptide antibiotics, approved for the treatment of complicated skin and skin structure infections (cSSSI) caused by Gram positive organisms. It says that the Assessment of Telavancin in Complicated Skin and Skin Structure Infections (ATLAS) was a clinical trial to compare telavancin to vancomycin as treatment for cSSSI. It tells that telavancin better penetrates the lungs and is so effective in Gram positive pneumonia infections.

Clomiphene citrate (CC) has been widely used for ovulation induction since the 1960s, due to its ease of administration and minimal side-effects. We conducted a retrospective study of 565 women who attended the infertility clinic at a district general hospital (Victoria Hospital, Kirkcaldy) between January 2004 and October 2008. The database was analysed for age, pregnancy rates, type of infertility and pregnancy outcomes. The conception rate with clomiphene citrate was 25%. The drug was well tolerated in 97.5% of women. The miscarriage rate with CC was 4.3%. We believe that these data give useful insights on CC therapy to gynaecologists involved in infertility clinics in a district general hospital setting. [ABSTRACT FROM AUTHOR]

Vikram Gota,1 Krunal Kavathiya,1 Kartik Doshi,1 Murari Gurjar,1 Solai E Damodaran,1 Vanita Noronha,2 Amit Joshi,2 Kumar Prabhash2 1Department of Clinical Pharmacology, Advanced Centre for Treatment Research and Education in Cancer, 2Department of Medical Oncology, Tata Memorial Hospital, Mumbai, India Background: Pemetrexed-platinum doublet therapy is a standard treatment for stage IIIb/IV nonsquamous non small cell lung cancer (NSCLC). While the regimen is associated with several grade ≥3 toxicities, hyponatremia is not a commonly reported adverse effect. Here we report an unusually high incidence of grade ≥3 hyponatremia in Indian patients receiving pemetrexed-platinum doublet, and the pharmacological basis for this phenomenon. Methods: Forty-six patients with advanced NSCLC were enrolled for a bioequivalence study of two pemetrexed formulations. All patients received the pemetrexed-platinum doublet for six cycles followed by single-agent pemetrexed maintenance until progression. Pharmacokinetic blood samples were collected at predefined time points during the first cycle and the concentration-time profile of pemetrexed was investigated by noncompartmental analysis. Hyponatremic episodes were investigated with serum electrolytes, serum osmolality, urinary sodium, and urine osmolality. Results: Sixteen of 46 patients (35%) had at least one episode of grade ≥3 hyponatremia. Twenty-four episodes of grade ≥3 hyponatremia were observed in 200 cycles of doublet chemotherapy. Plasma exposure to pemetrexed was significantly higher in patients with high-grade hyponatremia than in those with low-grade or no hyponatremia (P=0.063 and P=0.001, respectively). Pemetrexed clearance in high-grade hyponatremia was quite low compared with normal and low-grade hyponatremia (P=0.001 and P=0.055, respectively). Median pemetrexed exposure in this cohort was much higher than that reported in the literature from Western studies. Conclusion: Higher exposure to pemetrexed is associated with grade ≥3 hyponatremia. The pharmacogenetic basis for higher exposure to pemetrexed in Indian patients needs further investigation. Keywords: non small cell lung carcinoma, platinum compounds, pharmacokinetics, pharmacogenetics

The article presents a case study of a 29-year-old woman with undiagnosed pregnancy during hysterosalpingography (HSG). It says that the woman has two-year history of infertility and oligomenorrhea. It states that HSG is a common procedure performed among patients with infertility. It adds that the woman was confirmed to have an intrauterine pregnancy through ultrasound scan, in which is likely six weeks pregnant at the time of the HSG.

Abstract Background Numerous gel-based softwares exist to detect protein changes potentially associated with disease. The data, however, are abundant with technical and structural complexities, making statistical analysis a difficult task. A particularly important topic is how the various softwares handle missing data. To date, no one has extensively studied the impact that interpolating missing data has on subsequent analysis of protein spots. Results This work highlights the existing algorithms for handling missing data in two-dimensional gel analysis and performs a thorough comparison of the various algorithms and statistical tests on simulated and real datasets. For imputation methods, the best results in terms of root mean squared error are obtained using the least squares method of imputation along with the expectation maximization (EM) algorithm approach to estimate missing values with an array covariance structure. The bootstrapped versions of the statistical tests offer the most liberal option for determining protein spot significance while the generalized family wise error rate (gFWER) should be considered for controlling the multiple testing error. Conclusions In summary, we advocate for a three-step statistical analysis of two-dimensional gel electrophoresis (2-DE) data with a data imputation step, choice of statistical test, and lastly an error control method in light of multiple testing. When determining the choice of statistical test, it is worth considering whether the protein spots will be subjected to mass spectrometry. If this is the case a more liberal test such as the percentile-based bootstrap t can be employed. For error control in electrophoresis experiments, we advocate that gFWER be controlled for multiple testing rather than the false discovery rate.

Abstract Background Fish oil is known to protect from many types of cancers of the colon, liver, breast, prostate and lung 123. The objective of the present study was to evaluate the role of fish oil [Maxepa, supplemented at a dose of 0.5 ml is equivalent to 90 mg eicosapentaenoic acid (EPA) and 60 mg docosahexaenoic acid (DHA)] on cell proliferation, expression of p53 tumor suppressor protein and DNA protein crosslinks (DPCs) in a defined model of chemical rat mammary carcinogenesis. Mammary carcinogenesis was initiated by a single, intravenous (i.v.) tail vein injection of 7,12 dimethylbenz(α)anthracene (DMBA) at a dose of 5 mg DMBA/2 ml corn oil/kg body weight in female Sprague-Dawley rats at 7 weeks of age. Fish oil supplementation was started daily, 2 weeks prior to DMBA injection and continued for 24 (31 weeks of animal age) weeks and 35 (42 weeks of animal age) weeks of post DMBA injection, for histopathological and immunohistochemical and for morphological studies, respectively. Results Our results indicate the chemopreventive effect of fish oil (Maxepa) on DMBA-induced rat mammary carcinogenesis. Administration of fish oil further showed a prominent reduction of cell proliferation (24.34%, P = 0.001); DPCs (25%, P < 0.001) and an increased expression of p53 protein (4.636 ± 0.19, P < 0.001) in preneoplastic mammary tissue when compared to carcinogen control counterpart. Histopathological and morphological analyses were carried out as end-point biomarkers. Conclusion Our study thus provides evidence for the anticarcinogenic effect of fish oil (Maxepa) in limiting mammary preneoplasia in Sprague-Dawley rats.

Background: Datopotamab deruxtecan (Dato-DXd), is a humanized anti-TROP2 IgG1 monoclonal antibody linked to a potent topoisomerase I inhibitor payload (DXd). Dato-DXd has already shown antitumor activity in breast cancer; however, the determinants of response, including the importance of TROP2 expression, remain unclear. We tested the activity of Dato-DXd in a panel of breast cancer patient-derived xenografts (BCXs) varying in TROP2 expression., Methods: The antitumor activity of Dato-DXd and isotype-control-DXd (IgG-DXd) was assessed against 11 BCXs varying in TROP2 expression, 10 representing tumors post-neoadjuvant chemotherapy. Pharmacodynamic effects were assessed at 24 and 72 hours. The effects of TROP2 expression on Dato-DXd activity was assessed in vitro and in vivo using viral overexpression in BCX-derived cell lines., Results: Models differed in their sensitivity to both Dato-DXd and IgG-DXd. Dato-DXd (10 mg/kg) led to objective response in 4 (36%) models and statistically significant prolongation of event-free survival (EFS) in 8 (73%) models while IgG-DXd (10 mg/kg) led to response in 1 (9%) and prolonged EFS in 3 (27%) models. TROP2 RNA and protein was significantly higher in Dato-DXd-sensitive models. In isogenic cell lines derived from Dato-DXd-resistant BCXs, overexpression of TROP2 conferred Dato-DXd antitumor activity in vitro and in vivo. Dato-DXd increased γH2AX and phospho-KAP1 in the 2 Dato-DXd-sensitive BCXs but not in a Dato-DXd-resistant BCX. In Dato-DXd-sensitive models, antitumor activity was enhanced in combination with PARP inhibitor, olaparib., Conclusion: Dato-DXd is active in breast cancer models. Dato-DXd has TROP2 dependent and independent mediators of activity; however, high TROP2 expression enhances Dato-DXd antitumor activity.

Developmental reprogramming allows for flexibility in growth and adaptation to changing environmental conditions. In plants, wounding events can result in new stem cell niches and lateral organs. Adventitious roots develop from aerial parts of the plant and are regulated by multiple stimuli, including wounding. Here, we find that Arabidopsis thaliana seedlings wounded at the hypocotyl-root junction reprogram certain pericycle cells to produce adventitious roots proximal to the wound site. We have determined that competence for this reprogramming is controlled; basal cells close to the wound site can produce adventitious roots, whereas cells distal from the wound site mostly cannot. We found that altering cytokinin response or indole-3-butyric acid (IBA)-to-(indole-3-acetic acid) IAA conversion resulted in an expanded adventitious root competence zone and delineated the connection between these pathways. Our work highlights the importance of endogenous IBA-derived auxin and its interaction with cytokinin in adventitious root formation and the regenerative properties of plants., Competing Interests: Declaration of interests L.C.S. is on the scientific advisory board of Prose Foods., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Objectives: Pathogenic SLC29A3 variants are known to cause autosomal recessive disease with a spectrum of systemic involvement. We sought to expand on the spectrum of SLC29A3 variants and describe potential treatment., Methods: We describe a case of newly diagnosed SLC29A3 -related disorder, also known as H syndrome or familial histiocytosis, associated with CNS inflammatory pseudotumor and spinal cord compression., Results: We present a 25-year-old man with recurrent dural based masses resulting in spinal cord and brain compression, hyperpigmented skin patches, proptosis, short stature, and elevated serum and spinal fluid inflammatory markers. Panel genetic testing revealed homozygous pathogenic variant c.1309G>A in the SLC29A3 gene resulting in a missense alteration (p. Gly437Arg). The patient was treated with cobimetinib with clinical, serologic, and radiographic improvement at 1-month follow-up., Discussion: SLC29A3 variant may cause fibroinflammatory lesions involving the dura resembling the clinical spectrum of Rosai-Dorfman disease. Patients with SLC29A3 disease and neurologic signs or symptoms should undergo screening MRI for CNS involvement. MEK inhibition represents a novel treatment for this disorder., Competing Interests: S.A. Banks was supported by Grant Number UL1 TR002377 from the National Center for Advancing Translational Sciences (NCATS). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH. N. Kissoon receives royalties from UpToDate, has received meeting support from North American Neuromodulation Society, and serves on the board of the Neuro Hospitality House. W.O. Tobin reports receiving research funding from the NIH, Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology and Mallinckrodt Inc. He receives royalties from the publication of “Mayo Clinic Cases in Neuroimmunology” (OUP). J.P. Abeykoon, K. Rech, Q.K.G. Tan, K.L. Schoonover, A.J. Aksamit, G.F. Keating, S. Sominidi Damodaran, H.S. Maredia, C.J. Davidge-Pitts, J.C. Villasboas, R. Go, and L.N. Veres report no conflicts of interest. Go to Neurology.org/NG for full disclosures., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)