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Whole-exome sequencing (WES), a ground-breaking technology, has emerged as a linchpin in neurology and neurosurgery, offering a comprehensive elucidation of the genetic landscape of various neurological disorders. This transformative methodology concentrates on the exonic portions of DNA, which constitute approximately 1% of the human genome, thus facilitating an expedited and efficient sequencing process. WES has been instrumental in advancing our understanding of neurodegenerative diseases, neuro-oncology, cerebrovascular disorders, and epilepsy by revealing rare variants and novel mutations and providing intricate insights into their genetic complexities. This has been achieved while maintaining a substantial diagnostic yield, thereby offering novel perspectives on the pathophysiology and personalized management of these conditions. The utilization of WES boasts several advantages over alternative genetic sequencing methodologies, including cost-effectiveness, reduced incidental findings, simplified analysis and interpretation process, and reduced computational demands. However, despite its benefits, there are challenges, such as the interpretation of variants of unknown significance, cost considerations, and limited accessibility in resource-constrained settings. Additionally, ethical, legal, and social concerns are raised, particularly in the context of incidental findings and patient consent. As we look to the future, the integration of WES with other omics-based approaches could help revolutionize the field of personalized medicine through its implications in predictive models and the development of targeted therapeutic strategies, marking a significant stride toward more effective and clinically oriented solutions., Competing Interests: Declarations Ethics approval and consent to participate Ethics approval is not applicable. No original data from new patients were collected, consent to participate is not applicable. Consent for publication Consent for publication is not applicable. Competing interests The authors declare no competing interests., (© 2024. The Author(s).)

This review article represents a collaborative effort across continents, bringing together the latest developments in neuro-ophthalmology with a focus on innovative diagnostic and therapeutic modalities that are shaping the future of the field. Among the most significant advancements is the rise of optical coherence tomography (OCT), now recognized as an indispensable tool in neuro-ophthalmological research, providing unparalleled insights into optic nerve and central nervous system pathologies. Gene therapy, particularly for conditions such as Leber's hereditary optic neuropathy, marks a new frontier in personalized medicine, offering hope for previously untreatable conditions. The article also examines the transformative role of telemedicine and artificial intelligence (AI) in clinical practice, which are revolutionizing patient care and enhancing diagnostic precision. Furthermore, it highlights the impact of novel serological biomarkers on the understanding and management of immune-mediated optic neuritis, and discusses the introduction of new therapeutic agents like Tocilizumab and Teprotumumab, which are redefining treatment paradigms. Collectively, these advancements reflect the profound influence of modern medicine on neuro-ophthalmology, paving the way for improved patient outcomes and fostering new avenues for research and clinical practice., (Copyright © 2024 Copyright: © 2024 Indian Journal of Ophthalmology.)

It is little appreciated not only how closely linked are the disciplines of neurology, psychiatry, and anthropology but even more so the degree to which they share a "common ancestry". This paper briefly reviews the definition and historical origins of each area of study to then begin to illustrate how their "genealogies" overlap. This illustration is by way of a sampling of the many key figures who contributed to the rise of not just neurology, psychiatry or anthropology but of all three disciplines. That is, a selective review is undertaken of paragons whose careers bridged medicine, neuropsychiatry, and anthropology. A sampling from among the dozens who have made major contributions to spanning these disciplines illuminates the significant extent of their co-mingled intellectual ancestry. This series is akin to a data table of necessarily concise biographical vignettes - past scholars with some or full medical training who also advanced both anthropology and neuropsychiatry as these disciplines grew into intellectual maturity. Each is, in a sense, a data point that bolsters the overarching thesis that the intellectual history of these disciplines have shared ancestry. Thus, even this preliminary and topical survey of a few past "exemplars" underscores the importance of this unique intellectual siblingship. Moreover, there is now a profusion of living scholars who add fulsomely to what might be deemed this 'trilateral marriage' of anthropology, psychiatry, and neurology. A compilation of more contemporary contributors is well worthy of a future review that expands from this first consideration. This initial work is meant to engender more robust scholarship that better elucidates and, thereby, enriches and enlivens further work while also uncovering new avenues of deeper insight, notably as to the "conceptual and heuristic progression" of evolutionary neurosciences with respect to the normative and pathologic., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: The history of the development of acute neurologic disease as a biologic mechanism is of interest. Equally important is how it translated to the bedside and how the clinical examination differentiated itself., Methods: This paper reviews primary sources pertaining to acute neurologic conditions described mostly in the 19th and 20th century. A review of monographs, treatises, textbooks, and peer-reviewed articles was conducted., Results: The evolution of clinical signs and syndromes associated with dynamic intracranial pathologies was predicated on the idea that animal studies informed clinicians, who then linked clinical signs to these observations. A dominant theme is that innovative technologies could trace acute processes through all their various stages, affording a complete picture of the disease process. Just as clinical descriptors of central nervous system processes evolved, the presentation of acute neuromuscular respiratory failure became better defined. Once practices incorporated these acute clinical signs, textbooks cemented their "gold standard" status with relative impunity., Conclusions: The practise of acute neurology and neurocritical care must find out what, historically, others were seeking but could not find. Patterns of clinical presentation in acute neurology are sufficiently recognizable to guide practise decisions. Although, the currently well-documented clinical syndromes of acute neurologic conditions (at presentation and during deterioration) have been taught for generations, practitioners have noted that they lack consistency and predictability. History also taught us that part of this improved knowledge came with designated units-a clear example of how protean systems (not always innovative neurologists or neuroscientists or technologies) shaped the history of neurology., (© 2024 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.)

ChatGPT, a general artificial intelligence, has been recognized as a powerful tool in scientific writing and programming but its use as a medical tool is largely overlooked. The general accessibility, rapid response time and comprehensive training database might enable ChatGPT to serve as a diagnostic augmentation tool in certain clinical settings. The diagnostic process in neurology is often challenging and complex. In certain time-sensitive scenarios, rapid evaluation and diagnostic decisions are needed, while in other cases clinicians are faced with rare disorders and atypical disease manifestations. Due to these factors, the diagnostic accuracy in neurology is often suboptimal. Here we evaluated whether ChatGPT can be utilized as a valuable and innovative diagnostic augmentation tool in various neurological settings. We used synthetic data generated by neurological experts to represent descriptive anamneses of patients with known neurology-related diseases, then the probability for an appropriate diagnosis made by ChatGPT was measured. To give clarity to the accuracy of the AI-determined diagnosis, all cases have been cross-validated by other experts and general medical doctors as well. We found that ChatGPT-determined diagnostic accuracy (ranging from 68.5% ± 3.28% to 83.83% ± 2.73%) can reach the accuracy of other experts (81.66% ± 2.02%), furthermore, it surpasses the probability of an appropriate diagnosis if the examiner is a general medical doctor (57.15% ± 2.64%). Our results showcase the efficacy of general artificial intelligence like ChatGPT as a diagnostic augmentation tool in medicine. In the future, AI-based supporting tools might be useful amendments in medical practice and help to improve the diagnostic process in neurology., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Nógrádi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Machine learning (ML) methods are becoming more prevalent in the neurology literature as alternatives to traditional statistical methods to address challenges in the analysis of modern data sets. Despite the increase in the popularity of ML methods in neurology studies, some authors do not fully address all items recommended in reporting guidelines. The authors of this Research Methods article are members of the Neurology ® editorial board and have reviewed many studies using ML methods. In their review reports, several critiques often appear, which could be avoided if guidance were available. In this article, we detail common critiques found in ML research studies and make recommendations for how to avoid them. The first critique involves misalignment of the study goals and the analysis conducted. The second critique focuses on ML terminology being appropriately used. Critiques 3-6 are related to the study design: justifying sample sizes and the suitability of the data set for the study goals, describing the ML analysis pipeline sufficiently, quantifying the amount of missing data and providing information about missing data handling, and including uncertainty estimates for key metrics. The seventh critique focuses on fairly describing both strengths and limitations of the ML study, including the analysis methodology and results. We provide examples in neurology for each critique and guidance on how to avoid the critique. Overall, we recommend that authors use ML-specific checklists developed by research consortia for designing and reporting studies using ML. We also recommend that authors involve both a statistician and an ML expert in work that uses ML. Although our list of critiques is not exhaustive, our recommendations should help improve the quality and rigor of ML studies. ML has great potential to revolutionize neurology, but investigators need to conduct and report the results in a way that allows readers to fully evaluate the benefits and limitations of ML approaches.

Objective: Opioid and cannabinoid therapies for chronic pain conditions including neuropathic pain are controversial. Understanding patient and prescribing factors contributing to risks and implementing risk mitigation strategies optimizes outcomes., Latest Developments: The ongoing transformation from a biomedical model of pain care toward a biopsychosocial model has been accompanied by a shift away from opioid therapy for pain, in particular for chronic pain. Opioid overdose deaths and opioid use disorder have greatly increased in the last several decades, initially because of increases in opioid prescribing and more recently associated with illicit drug use, in particular fentanyl derivatives. Opioid risk mitigation strategies may reduce risks related to opioid prescribing and tapering or discontinuation. Opioid therapy guidelines from the Centers for Disease Control and Prevention have become the consensus best practice for opioid therapy. Regulatory agencies and licensing medical boards have implemented restrictions and other mandates regarding opioid therapy. Meanwhile, interest in and use of cannabinoids for chronic pain has grown in the United States., Essential Points: Opioid therapy is generally not recommended for the chronic treatment of neuropathic pain conditions. Opioids may be considered for temporary use in patients with severe pain related to selected neuropathic pain conditions (such as postherpetic neuralgia), and only as part of a multimodal treatment regimen. Opioid risk mitigation strategies include careful patient selection and evaluation, patient education and informed consent, querying the state prescription drug monitoring programs, urine drug testing, and issuance of naloxone as potential rescue medication. Close follow-up when initiating or adjusting opioid therapy and frequent reevaluation during long-term opioid therapy is required. There is evidence for the efficacy of cannabinoids for neuropathic pain, with meaningful response rates in select patient populations., (Copyright © 2024 American Academy of Neurology.)

As neuropalliative care is better recognized and more widely utilized, there is as great a need for clinicians trained in the field as there is for disease-specific symptom management, advance care planning, and end-of-life care. In this manuscript, we describe potential career trajectories in neuropalliative care. For clinicians, this includes educational and training opportunities within primary neuropalliative care (integrating palliative care principles into usual neurology practice), specialty neuropalliative care (completing a hospice and palliative medicine fellowship), and hospice. We also describe considerations for establishing new clinical neuropalliative practices and highlight neuropalliative education and research as key areas for advancing the field., Competing Interests: None declared., (Thieme. All rights reserved.)

Background and Purpose: Management of idiopathic intracranial hypertension (IIH) is complex requiring multiple specialized disciplines. In practice, this creates considerable organizational and communicational challenges for healthcare professionals and patients. Thus, an interdisciplinary integrated outpatient clinic for IIH (comprising neurology, neuroophthalmology, neuroradiology, neurosurgery and endocrinology) was established with central coordination and a one-stop concept. Here, the aim was to evaluate the effects of this one-stop concept on objective clinical outcome., Methods: In a retrospective cohort study, the one-stop era with integrated care (IC) (1 July 2021 to 31 December 2022) was compared to a reference group receiving standard care (SC) (1 July 2018 to 31 December 2019) regarding visual impairment/worsening and headache improvement/freedom 6 months after diagnosis. Multivariate binary logistic regression models were used to adjust for confounders., Results: Baseline characteristics of the IC group (n = 85) and SC group (n = 81) were comparable (female 90.6% vs. 90.1%; mean age 33.6 vs. 32.8 years; median body mass index 31.8 vs. 33.0; median cerebrospinal fluid opening pressure 32 vs. 34 cmH 2 O; at diagnosis, visual impairment was present in 71.8% vs. 69.1% and chronic headache in 55.3% vs. 56.8% in IC vs. SC). IC was associated with a higher likelihood of achieving both headache improvement (odds ratio [OR] 2.24, 95% confidence interval [CI] 1.52-4.33, p < 0.001) and headache freedom (OR 1.75, 95% CI 1.11-3.09, p = 0.031). Regarding the risk of visual impairment and visual worsening IC was superior numerically but not statistically significantly (OR 0.87, 95% CI 0.69-1.16, p = 0.231, and OR 0.67, 95% CI 0.41-1.25, p = 0.354)., Conclusions: Interdisciplinary integrated care of IIH is favourably associated with headache outcomes and potentially also visual outcomes., (© 2024 The Author(s). European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.)

Virtual learning resources such as podcasts and social media are increasingly used in medical education. Podcasts are one example of virtual learning, where prerecorded audio files are available to stream or download from the internet, usually without a fee and at any time. This gives listeners flexibility in when and where they engage with the educational material, enabling learning to be better tailored to individual needs. Podcasts are often enjoyed for their relaxed and conversational style. However, listeners must be aware of the lack of external peer review and incomplete coverage of information. There are also risks inherent to distant learning, including depersonalisation of medical education. We describe the roles that podcasts now play in neurological education, exploring some of the ways that they can be used to enhance neurological training both as a learner and educator and giving our top tips, based on our own experiences, for anyone keen to add to the expanding field of available podcasts., Competing Interests: Competing interests: BOT edits the Practical Neurology podcast. ARR is the podcast editor for Practical Neurology and hosts the editor’s choice podcast., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)

Introduction: Neurology wait times - from referral to consultation - continue to grow, leading to various adverse effects on patient outcomes. Key elements of virtual care can be leveraged to improve efficiency. This study examines the implementation of a novel virtual care model - Virtual Rapid Access Clinics - at the Neurology Centre of Toronto. The model employs a patient-centred care workflow, involving multidisciplinary staff and online administrative tools that are synthesized to expedite care and maintain quality., Methods: Virtual Rapid Access Clinic efficacy was studied by determining average wait times and patient throughput, calculated from anonymous data that was extracted from the clinic patient database (n  =  1542). Comparative analysis focused on new patient consultations during the 12-month periods prior to (pre-Virtual Rapid Access Clinic, n  =  456) and following (post-Virtual Rapid Access Clinic, n  =  1086) Virtual Rapid Access Clinic implementation., Results: After Virtual Rapid Access Clinic implementation, there was a mean 15-day wait time reduction, and a monthly average 52-patient increase in patient throughput. Wait time reductions and increased patient throughput were observed in all three Virtual Rapid Access Clinic sub-clinics - epilepsy, headache and concussion. Respectively, average wait times reduced significantly by 26.4 and 18.9 days and insignificantly by 1.1 days; monthly average patient throughputs increased by 235%, 95% and 161%., Discussion: These findings demonstrated that the Virtual Rapid Access Clinic model of care is effective at reducing patient wait times and increasing patient throughput. While the Virtual Rapid Access Clinic presents a feasible model both during and after pandemic restrictions, further research exploring its scalability in other care contexts, potential changes in care quality and efficiency outside of pandemic restrictions must be performed., Competing Interests: Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Expansion of artificial intelligence (AI) in the field of medicine is changing the paradigm of clinical practice at a rapid pace. Incorporation of AI in medicine offers new tools as well as challenges, and physicians and learners need to adapt to assimilate AI into practice and education. AI can expedite early diagnosis and intervention with real-time multimodal monitoring. AI assistants can decrease the clerical burden of heath care improving the productivity of work force while mitigating burnout. There are still no regulatory parameters for use of AI and regulatory framework is needed for the implementation of AI systems in medicine to ensure transparency, accountability, and equitable access., Competing Interests: Disclosure The authors have nothing to disclose., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Neurofilaments are structural proteins found in the cytoplasm of neurons, particularly in axons, providing structural support and stability to the axon. They consist of multiple subunits, including NF-H, NF-M, and NF-L, which form long filaments along the axon's length. Neurofilaments are crucial for maintaining the shape and integrity of neurons, promoting axonal transport, and regulating neuronal function. They are part of the intermediate filament (IF) family, which has approximately 70 tissue-specific genes. This diversity allows for a customizable cytoplasmic meshwork, adapting to the unique structural demands of different tissues and cell types. Neurofilament proteins show increased levels in both cerebrospinal fluid (CSF) and blood after neuroaxonal damage, indicating injury regardless of the underlying etiology. Precise measurement and long-term monitoring of damage are necessary for determining prognosis, assessing disease activity, tracking therapeutic responses, and creating treatments. These investigations contribute to our understanding of the importance of proper NF composition in fundamental neuronal processes and have implications for neurological disorders associated with NF abnormalities along with its alteration in different animal and human models. Here in this review, we have highlighted various neurological disorders such as Alzheimer's, Parkinson's, Huntington's, Dementia, and paved the way to use neurofilament as a marker in managing neurological disorders., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Artificial intelligence (AI) is currently being used as a routine tool for day-to-day activity. Medicine is not an exception to the growing usage of AI in various scientific fields. Vascular and interventional neurology deal with diseases that require early diagnosis and appropriate intervention, which are crucial to saving patients' lives. In these settings, AI can be an extra pair of hands for physicians or in conditions where there is a shortage of clinical experts. In this article, the authors have reviewed the common metrics used in interpreting the performance of models and common algorithms used in this field., Competing Interests: Disclosure A. Mowla: Speakers Bureau/Consultant to Cerenovus, Stryker, Wallaby Medical, RapidAI, BALT USA, LLC. D.S. Liebeskind: Consultant as imaging core lab to Cerenovus, Genentech, Medtronic, Stryker, Rapid Medical. Others have no disclosure., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Glucocorticoids are commonly used for neurological disorders, but they can have significant adverse effects, including adrenal insufficiency, hyperglycaemia, osteoporosis and increased infection risk. Long-term use of corticosteroids requires the prescriber to plan risk mitigation, including monitoring and often coprescribing. This article highlights the potential risks of corticosteroid prescribing and draws together up-to-date guidance with multispecialty input to clarify ways of reducing those risks. We discuss home blood glucose monitoring and consider a steroid safety checklist to promote safer steroid prescribing., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)

This paper describes the development, content, structure, and implementation of a case-based collaborative learning, flipped classroom, integrated preclinical neurology, neuroanatomy, and neuroscience course for first year medical students at Harvard Medical School. We report the methods for pre-class preparation, in-class instruction, and evaluation; student feedback with respect to content, teaching method, and learning environment; and several lessons learned regarding how to optimize preparatory and in-class learning in a case-based flipped classroom course., (Published by Elsevier B.V.)

Background: This update of the guideline on the management of amyotrophic lateral sclerosis (ALS) was commissioned by the European Academy of Neurology (EAN) and prepared in collaboration with the European Reference Network for Neuromuscular Diseases (ERN EURO-NMD) and the support of the European Network for the Cure ALS (ENCALS) and the European Organization for Professionals and Patients with ALS (EUpALS)., Methods: Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology was used to assess the effectiveness of interventions for ALS. Two systematic reviewers from Cochrane Response supported the guideline panel. The working group identified a total of 26 research questions, performed systematic reviews, assessed the quality of the available evidence, and made specific recommendations. Expert consensus statements were provided where insufficient evidence was available., Results: A guideline mapping effort revealed only one other ALS guideline that used GRADE methodology (a National Institute for Health and Care Excellence [NICE] guideline). The available evidence was scarce for many research questions. Of the 26 research questions evaluated, the NICE recommendations could be adapted for 8 questions. Other recommendations required updates of existing systematic reviews or de novo reviews. Recommendations were made on currently available disease-modifying treatments, multidisciplinary care, nutritional and respiratory support, communication aids, psychological support, treatments for common ALS symptoms (e.g., muscle cramps, spasticity, pseudobulbar affect, thick mucus, sialorrhea, pain), and end-of-life management., Conclusions: This update of the guideline using GRADE methodology provides a framework for the management of ALS. The treatment landscape is changing rapidly, and further updates will be prepared when additional evidence becomes available., (© 2024 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.)

Liver disease is increasingly common, estimated to affect over 25% of the world's population. Failure of the liver to maintain a normal metabolic milieu leads to impaired brain function (hepatic encephalopathy), and conditions that cause liver disease can themselves predispose to neurological disease. As neurologists' involvement with the acute take increases, it is important that we are familiar with the neurological complications of liver disease, their investigation and management, and to know which other neurological diseases occur in this patient population. In this article, we review the causes, presentation and treatment of hepatic encephalopathy, and discuss important differential diagnoses in patients with liver disease who present with neurological disturbance., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)

Sexual dysfunction is common in men and women with neurological diseases. Medications used in neurology can cause sexual dysfunction independently of the disease process and this may adversely affect patients' quality of life. This review focuses on medications commonly prescribed to neurological patients that may contribute to altered sexual function, and discusses how they may differ in men and women., Competing Interests: Competing interests: The author(s) declared the following potential conflicts of interest with respect to the research, authorship and/or publication of this article: MB, JK, TBK and JNP have no conflict of interest to declare., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)

A shortage of board-certified developmental-behavioral pediatricians generates a bottleneck for children and families who seek autism diagnostic services. Wait time for autism evaluation commonly exceeds a year. To improve access, clinicians developed a coordinated Developmental-Behavioral Pediatrics and Pediatric Neurology autism diagnostic pathway. For a subset of children referred to neurology clinic, pediatric neurologists completed the medical part of an autism evaluation and Knights of Columbus Developmental Center psychologists or speech-language pathologists completed developmental assessments. Forty-four autism diagnostic evaluations completed through this coordinated pathway over the course of six months had shortened wait time [mean=50.89 days; range 3 to 184 days; median= 48.50 day]. Parents reported satisfaction with the autism evaluation and resources navigation process. Sustainability and scalability efforts are discussed., Competing Interests: Disclosure No financial disclosures reported. Artificial intelligence was not used in the study, research, preparation, or writing of this manuscript., (Copyright 2024 by the Missouri State Medical Association.)

Purpose: The Pelli-Robson and LEA contrast sensitivity charts are commonly used in clinical settings to measure contrast sensitivity. Although the Pelli-Robson chart is considered the gold standard, it is limited by its bulky size. The LEA chart, on the contrary, offers a more practical and portable option that is still reliable. This has led to questions about whether we can predict Pelli-Robson scores based on LEA scores. This study developed a conversion method to help transition from the LEA chart to the Pelli-Robson chart and validate the conversion score., Methods: In this retrospective study, we analyzed the relationship between LEA and the Pelli-Robson contrast sensitivity test. Our study examined a total of 120 eyes. We developed a conversion table through the equipercentile equating method. Subsequently, we assessed the reliability and accuracy of this algorithm for converting LEA results into Pelli-Robson contrast sensitivity scores., Results: The study used a conversion table to convert LEA scores to Pelli-Robson scores. The conversion table achieved a reliability of 0.91 based on intraclass correlation, and the algorithm had an accuracy of 81.6% within a 1-point difference from the raw score., Conclusions: This study reported a reliable and comparable conversion algorithm for transforming LEA scores into converted estimated Pelli-Robson scores, thereby improving the usefulness of existing data in both clinical and research contexts., (Copyright © 2024 Copyright: © 2024 Indian Journal of Ophthalmology.)

Objective: Artificial intelligence (AI)-based decision support systems (DSS) are utilized in medicine but underlying decision-making processes are usually unknown. Explainable AI (xAI) techniques provide insight into DSS, but little is known on how to design xAI for clinicians. Here we investigate the impact of various xAI techniques on a clinician's interaction with an AI-based DSS in decision-making tasks as compared to a general population., Methods: We conducted a randomized, blinded study in which members of the Child Neurology Society and American Academy of Neurology were compared to a general population. Participants received recommendations from a DSS via a random assignment of an xAI intervention (decision tree, crowd sourced agreement, case-based reasoning, probability scores, counterfactual reasoning, feature importance, templated language, and no explanations). Primary outcomes included test performance and perceived explainability, trust, and social competence of the DSS. Secondary outcomes included compliance, understandability, and agreement per question., Results: We had 81 neurology participants with 284 in the general population. Decision trees were perceived as the more explainable by the medical versus general population (P < 0.01) and as more explainable than probability scores within the medical population (P < 0.001). Increasing neurology experience and perceived explainability degraded performance (P = 0.0214). Performance was not predicted by xAI method but by perceived explainability., Interpretation: xAI methods have different impacts on a medical versus general population; thus, xAI is not uniformly beneficial, and there is no one-size-fits-all approach. Further user-centered xAI research targeting clinicians and to develop personalized DSS for clinicians is needed., (© 2024 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.)

Neurological conditions are the leading cause of disability and mortality combined, demanding innovative, scalable, and sustainable solutions. Brain health has become a global priority with adoption of the World Health Organization's Intersectoral Global Action Plan in 2022. Simultaneously, rapid advancements in artificial intelligence (AI) are revolutionizing neurological research and practice. This scoping review of 66 original articles explores the value of AI in neurology and brain health, systematizing the landscape for emergent clinical opportunities and future trends across the care trajectory: prevention, risk stratification, early detection, diagnosis, management, and rehabilitation. AI's potential to advance personalized precision neurology and global brain health directives hinges on resolving core challenges across four pillars-models, data, feasibility/equity, and regulation/innovation-through concerted pursuit of targeted recommendations. Paramount actions include swift, ethical, equity-focused integration of novel technologies into clinical workflows, mitigating data-related issues, counteracting digital inequity gaps, and establishing robust governance frameworks balancing safety and innovation., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.)

Introduction: The use of artificial intelligence technology is progressively expanding and advancing in the health and biomedical literature. Since its launch, ChatGPT has rapidly gained popularity and become one of the fastest-growing artificial intelligence applications in history. This study evaluated the accuracy and comprehensiveness of ChatGPT-generated responses to medical queries in clinical neurology., Methods: We directed 216 questions from different subspecialties to ChatGPT. The questions were classified into three categories: multiple-choice, descriptive, and binary (yes/no answers). Each question in all categories was subjectively rated as easy, medium, or hard according to its difficulty level. Questions that also tested for intuitive clinical thinking and reasoning ability were evaluated in a separate category., Results: ChatGPT correctly answered 141 questions (65.3%). No significant difference was detected in the accuracy and comprehensiveness scale scores or correct answer rates in comparisons made according to the question style or difficulty level. However, a comparative analysis assessing question characteristics revealed significantly lower accuracy and comprehensiveness scale scores and correct answer rates for questions based on interpretations that required critical thinking ( p  = 0.007, 0.007, and 0.001, respectively)., Conclusion: ChatGPT had a moderate overall performance in clinical neurology and demonstrated inadequate performance in answering questions that required interpretation and critical thinking. It also displayed limited performance in specific subspecialties. It is essential to acknowledge the limitations of artificial intelligence and diligently verify medical information produced by such models using reliable sources.

Background and Objectives: To better understand patients' and neurologists' assessments of their experiences regarding effectiveness of teleneurology encounters. Methods: Following an audio-video telehealth visit, neurologists asked patients to participate in a survey-based research study about the encounter, and then, the neurologists also recorded their own evaluations. Data were analyzed using standard quantitative and qualitative techniques for dichotomous and ordered-category survey responses in this cross-sectional analysis. Results: The study included unique encounters between 187 patients and 11 general neurologists. The mean patient age was 49 ± 17.5 years. Two thirds of the patients (66.8%, 125/187) were female. One third (33.2%; 62) were patients new to the NYU Langone Health neurology practices. The most common patient chief complaints were headache (69/187, 36.9%), focal and generalized numbness or tingling (21, 11.2%), memory difficulty (15, 8%), spine-related symptoms (12, 6.4%), and vertigo (11, 5.9%). Most patients (94.7%, 177/187) reported that the teleneurology encounter satisfied their needs. Patients and their neurologists agreed that the experience was effective in 91% (162/178) of encounters, regardless of whether the visit was for a new or established patient visit. Discussion: More than 90% of new and established patients and their neurologists agreed that teleneurology encounters were effective despite some limitations of the examination, the occasional need for patient assistance, and technical difficulties. Our results provide further evidence to justify and to expand the clinical use of teleneurology.

Interdisciplinary fetal neonatal neurology (FNN) training requires integration of reproductive health factors into evaluations of the maternal-placental-fetal (MPF) triad, neonate, and child over the first 1000 days. Serial events that occur before one or multiple pregnancies impact successive generations. A maternal-child dyad history highlights this continuity of health risk, beginning with a maternal grandmother's pregnancy. Her daughter was born preterm and later experienced polycystic ovarian syndrome further complicated by cognitive and mental health disorders. Medical problems during her pregnancy contributed to MPF triad diseases that resulted in her son's extreme prematurity. Postpartum maternal death from the complications of diabetic ketoacidosis and her child's severe global neurodevelopmental delay were adverse mother-child outcomes. A horizontal/vertical diagnostic approach to reach shared clinical decisions during FNN training requires perspectives of a dynamic neural exposome. Career-long learning is then strengthened by continued interactions from al stakeholders. Developmental origins theory applied to neuroplasticity principles help interpret phenotypic expressions as dynamic gene-environment interactions across a person's lifetime. Debiasing strategies applied to the cognitive process reduce bias to preserve therapeutic and prognostic accuracy. Social determinants of health are essential components of this strategy to be initiated during FNN training. Reduction of the global burden of neurologic disorders requires applying the positive effects from reproductive and pregnancy exposomes that will benefit the neural exposome across the lifespan., Competing Interests: Declaration of competing interest None., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Competing Interests: Declaration of competing interest Dr. Bogetz has received grants for unrelated work from the National Institutes of Health Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Palliative Care Research Center, Cambia Health Foundation, Seattle Children’s Research Institute, and Lucile Packard Foundation for Children’s Health. Dr. Rent receives funding from the National Palliative Care Research Center. Dr. Wusthoff has served on a data safety monitoring board for PRA Health Sciences, ICON, and University of Utah; serves as an associate editor for Neurology and Journal of Clinical Neurophysiology; and receives funding from NIH, Thrasher Research Fund, and Medicure. Dr. Lemmon receives funding from the National Institute of Health and the BAND foundation.

Stem cell therapies are progressively redefining the treatment landscape for a spectrum of neurological and age-related disorders. This review discusses the molecular and functional attributes of stem cells, emphasizing the roles of neural stem cells and mesenchymal stem cells in the context of neurological diseases such as stroke, multiple sclerosis, amyotrophic lateral sclerosis, traumatic brain injury, Parkinson's disease, and Alzheimer's disease. The review also explores the potential of stem cells in addressing the aging process. The paper analyzes stem cells' intrinsic properties of self-renewal, differentiation, and paracrine effects, alongside the importance of laboratory-modified stem cells like induced pluripotent stem cells and transgenic stem cells. Insights into disease-specific stem cell treatments are offered, reviewing both successes and challenges in the field. This includes the translational difficulties from rodent studies to human trials. The review concludes by acknowledging the uncharted territories that warrant further investigation, emphasizing the potential roles of stem cell-derived exosomes and indole-related molecules, and aiming at providing a basic understanding of stem cell therapies.

The majority of primary brain tumors are gliomas, among which glioblastoma multiforme (GBM) is the most common malignant brain tumor in adults. GBM has a median survival of 18-24 months, and despite extensive research it remains incurable, thus novel therapies are urgently needed. The current standard of care is a combination of surgery, radiation, and chemotherapy, but still remains ineffective due to the invasive nature and high recurrence of gliomas. Gene therapy is a versatile treatment strategy investigated for multiple tumor types including GBM. In gene therapy, a variety of vectors are employed to deliver genes designed for different antitumoral effects. Also, over the past decades, stem cell biology has provided a new approach to cancer therapies. Stem cells can be used as regenerative medicine, therapeutic carriers, drug targeting, and generation of immune cells. Stem cell-based therapy allows targeted therapy that spares healthy brain tissue as well as establishes a long-term antitumor response by stimulating the immune system and delivering prodrug, metabolizing genes, or even oncolytic viruses. This chapter describes the latest developments and the current trends in gene and cell-based therapy against GBM from both preclinical and clinical perspectives, including different gene therapy delivery systems, molecular targets, and stem cell therapies., (Copyright © 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.)

Objective: This article reviews the most common pediatric brain tumors, neurocutaneous syndromes, treatment-related neurotoxicities, and the long-term outcomes of survivors., Latest Developments: In the era of molecular diagnostics, the classification, management, and prognostication of pediatric brain tumors and neurocutaneous syndromes has been refined, resulting in advancements in patient management. Molecular diagnostics have been incorporated into the most recent World Health Organization 2021 classification. This knowledge has allowed for novel therapeutic approaches targeting the biology of these tumors with the intent to improve overall survival, decrease treatment-related morbidity, and improve quality of life. Advances in management have led to better survival, but mortality remains high and significant morbidity persists. Current clinical trials focus on tumor biology targeted therapy, deescalation of therapy, and multimodal intensified approaches with targeted therapy in more high-risk tumors., Essential Points: Molecular diagnostics for pediatric brain tumors and neurocutaneous syndromes have led to novel therapeutic approaches targeting the biology of these tumors with the goals of improving overall survival and decreasing treatment-related morbidity. Further understanding will lead to continued refinement and improvement of tumor classification, management, and prognostication., (Copyright © 2023 American Academy of Neurology.)

Teleneurology is an adaption of telemedicine used in neurological practices. Due to the widespread availability of the Internet and the development of information and communication technology (ICT), the use of teleneurology has increased in healthcare systems. This study aimed to determine how the Covid-19 pandemic has affected neurologists' attitudes towards teleneurology as well as their experiences of remote health care before and after the pandemic. The study was conducted as a web-based questionnaire sent to all Finnish neurologists. Two identical surveys were sent via e-mail from the National Neurology Society. The first survey was conducted in spring 2021 and second in spring 2023. The results show that the pandemic moderately increased the use of teleneurology, which enhanced neurologists' technical skills. Neurologists estimated that the use of teleneurology will continue to increase in the future.

The global burden of neurological disorders is substantial and increasing, especially in low-resource settings. The current increased global interest in brain health and its impact on population wellbeing and economic growth, highlighted in the World Health Organization's new Intersectoral Global Action Plan on Epilepsy and other Neurological Disorders 2022-2031, presents an opportunity to rethink the delivery of neurological services. In this Perspective, we highlight the global burden of neurological disorders and propose pragmatic solutions to enhance neurological health, with an emphasis on building global synergies and fostering a 'neurological revolution' across four key pillars - surveillance, prevention, acute care and rehabilitation - termed the neurological quadrangle. Innovative strategies for achieving this transformation include the recognition and promotion of holistic, spiritual and planetary health. These strategies can be deployed through co-design and co-implementation to create equitable and inclusive access to services for the promotion, protection and recovery of neurological health in all human populations across the life course., (© 2023. Springer Nature Limited.)

Background: The COVID-19 pandemic and subsequent acceleration of telemedicine usage allowed many neurologists to trial telemedicine for neurological care. The purpose of this study is to explore neurology providers' experiences with delivering telemedicine care during the COVID-19 pandemic. Methods: Semistructured video interviews were conducted with 27 neurology providers who practice at a single, urban academic center. Interviews were transcribed and analyzed for content and themes. Results: Five major themes were identified: virtual examination subspecialty differences, tips and tricks for the virtual examination, improved infrastructure needs, future technologies that could support the virtual examination, and preferences for the postpandemic telemedicine protocol. Subspecialists who described their visits as more focused on behavioral examination and obtaining patient history reported fewer limitations with delivering neurological care through telemedicine platforms. Conclusions: The implementation of a telemedicine system should reflect the needs of each neurology subspecialty. Funding is needed to improve logistical infrastructure for health providers' telemedicine visits, such as technical and administrative assistance, as well as creation and testing of technologies to support physical examination in the virtual environment.

Background and Objectives: To better understand neurologists' assessments of the experiences and effectiveness of teleneurology encounters. Methods: After completing an audio-video telehealth visit with verbally consenting patients, neurologists recorded their evaluations of the encounter. Data were analyzed using standard quantitative and qualitative techniques. Results: The study included unique encounters between 187 patients and 11 neurologists. The mean patient age was 49 ± 17.5 years. Two thirds of patients (66.8%, 125/187) were female. One third of patients (33.2%; 62) were new patients. The most common patient complaints were headache (69/187, 36.9%), focal and generalized numbness or tingling (21, 11.2%), memory difficulty (15, 8%), spine-related symptoms (12, 6.4%), and vertigo (11, 5.9%). Neurologists reported that they completed a virtual examination that provided enough information for medical decision-making in 94.9% of encounters (169/178, 9 missing responses). Fourteen of 25 examination elements important for medical decision-making could be performed sufficiently during virtual encounters. Examination assistance was needed for 16.4% (30/183) of patients, who were, on average, 17.3 years older than those who did not require assistance (62.9 years vs. 45.6 years, p  = 0.0002). In 19.1% (34/178) of encounters, neurologists learned clinically relevant information from seeing patients in their homes. Neurologists' assessments of the effectiveness of encounters were not related to the presence (97.2%, 35/36 effective) or absence (95%, 134/141 effective) of technical difficulties ( p  = 0.5729) in 177 encounters (10 missing responses). Discussion: Neurologists reported that nearly 95% of teleneurology encounters were effective despite limitations of the virtual examination, occasional need for patient assistance, and technical difficulties.

The SARS-CoV-2 (COVID-19) viral pandemic dramatically affected human health, health care delivery, health care workers, and health care research worldwide. The field of academic neurology was no exception. In this 2022 Presidential Plenary, we discuss the challenges faced by neurologists and neuroscientists professionally and personally. We review the threats posed by the pandemic to neuroscience research activities, materials, productivity, and funding. We then discuss the impact of the pandemic on clinical trials for neurologic diseases. Restrictions to patient enrolment due to limited in-person access to laboratory testing, imaging, and study visits led to delay in both clinical trial enrolment and study completion but also to innovative new means to engage clinical trial participants remotely and to strategies to critically appraise the frequency and design of trial-related patient evaluations. Clinical care was also challenged by initial pandemic prioritization of urgent visit and inpatient care and the rapid pivot to telehealth for most other neurology care encounters. Front-line neurology care teams faced their fears of infection, with the first few months of the pandemic being characterized by uncertainty, inconsistent national health care strategies, limited personal protective equipment, and an alarming rate of human illness and death caused by COVID-19. The personal and societal toll of the pandemic is incalculable. Across research and clinical neurology providers, women and particularly those with young families juggled the impossible balance of career and family care as schools closed and children required home-based education. Shining through this dark time are lessons that should shape a brighter future for our field. We are resilient, and the advances in neuroscience and neurology care continue to advance improved neurologic outcomes. The National Institutes of Health devised multiple support strategies for researchers to help bridge the pandemic. Telehealth, clinical trial designs that are more participant-centric with remote monitoring, and flexible work schedules are strategies to rebalance overworked lives and improve our engagement with our patients. As we re-emerge, we have the chance to reframe our field., (© 2022 American Academy of Neurology.)

Background: The conduct of patient consults greatly changed during the time of the COVID-19 pandemic. There was a decrease in face-to-face patient consults and enhanced utilization of virtual consults. Infodemiological studies, using Google Trends, focus on internet search trends that may reflect public interest and awareness in diseases and as a proxy of public health risk perception., Objectives: We aimed to investigate the online behavior of internet users on teleneurology, telehealth, and telemedicine during the time of the pandemic, as reflected in search volume indices (SVI) projected in Google Trends., Methods: We used the data from Google Trends to quantify the interest of internet users in teleneurology, telehealth, and telemedicine. These keywords were entered in Google Trends as search terms. Data included were searches conducted from 2016 to 2020 to depict the transition into the pandemic., Results: The SVI of teleneurology was unchanged during the 5-year period search relative to the SVIs of telehealth and telemedicine. Contrary to the noted worldwide increase in the SVI of telehealth and telemedicine during the year of pandemic, teleneurology's SVI remained stable despite the increase of its utilization. Focusing on teleneurology, the highest SVI was observed in 2018., Conclusion: There was an increase in the SVI of telehealth and telemedicine, possibly implying an increase in the general awareness of these virtual methods of health care, as catalyzed by the pandemic. However, the stable SVI of teleneurology may signify that the public awareness regarding it remained unchanged despite the increase in application in clinics and hospitals., (© 2022. Fondazione Società Italiana di Neurologia.)

Down syndrome (DS) is characterised by several clinical features including intellectual disability (ID) and craniofacial dysmorphisms. In 1976, Jackson and coll. identified a checklist of signs for clinical diagnosis of DS; the utility of these checklists in improving the accuracy of clinical diagnosis has been recently reaffirmed, but they have rarely been revised. The purpose of this work is to reassess the characteristic phenotypic signs and their frequencies in 233 DS subjects, following Jackson's checklist. 63.77% of the subjects showed more than 12 signs while none showed less than 5, confirming the effectiveness of Jackson's checklist for the clinical diagnosis of DS. An association between three phenotypic signs emerged, allowing us to distinguish two sub-phenotypes: Brachycephaly, short and broad Hands, short Neck (BHN), which is more frequent, and "non-BHN". The strong association of these signs might be interpreted in the context of the growth defects observed in DS children suggesting decreased cell proliferation. Lastly, cognitive assessments were investigated for 114 subjects. The lack of association between the presence of a physical sign or the number of signs present in a subject and cognitive skills disproves the stereotype that physical characteristics are predictive of degree of ID., (© 2022. The Author(s).)

This review explores children's self-reported outcome measurements in pediatric neurology. We examine the following questions: (1) What is meant by patient-reported health, functioning, and quality of life outcomes? (2) How can patients express whether the interventions they receive do more good than harm? (3) Why and how should pediatric neurology patients help determine the outcomes of interest? (4) What tools and recommendations are available to evaluate the outcomes of interest? Applying patients' perspectives across the processes of evaluation of medical interventions has become an important expectation. These developments, consistent with current healthcare goals, coincide with the evolution of pediatric neurology into a sophisticated diagnostic-interventional field that aims to prolong survival, decrease impairments and symptoms, and improve patients' well-being - the recognized essential endpoints of interest in all medicine., (© 2021 Mac Keith Press.)

Introduction: The SARS-CoV-2 pandemic has given rise to a major change in healthcare and brought teleconsultation to the forefront. In neurology, headaches are the most frequent reason for visits., Aim: To assess the impact of the COVID-19 pandemic on the structure of headache units in Andalusia and the adaptations made to healthcare that are potentially useful innovations that can continue to be developed when the pandemic is over., Materials and Methods: Cross-sectional observational study using an online survey of neurologists responsible for headache units and specialised consultations in Andalusia., Results: During the state of alarm, all respondents used teleconsultation. The vast majority (92.8%) maintained some face-to-face activity, mostly for invasive techniques and new patients, using individual protection measures and as a way to avoid crowds. Half of them (50%) maintained botulinum toxin administrations at the scheduled times and 78.6% continued to prescribe monoclonal antibodies against calcitonin gene-related peptide. Altogether 78.5% are generally satisfied with the use of teleconsultation and 57.1% think it could be quite useful in the future. The main advantages reported were avoiding the need for the patient to travel and time savings; the disadvantages were the absence of physical examinations and difficulties in communicating. The most frequently expressed need for improvement was the use of video-calls., Conclusions: Some of the changes adopted during this time could continue to be useful in the future and, in the case of headaches, teleconsultation could be used as an option for following up patients who have already been diagnosed and do not require any invasive techniques.

Background: Gene-targeted therapies are becoming a reality for infants and children with diseases of the nervous system. Rapid scientific advances have led to disease-modifying or even curative treatments. However, delays and gaps in diagnosis, inequitable delivery, and the need for long-term surveillance pose unresolved challenges., Objective and Methods: The goal of the Child Neurology Society Research Committee was to evaluate and provide guidance on the obstacles, opportunities, and uncertainties in gene-targeted therapies for pediatric neurological disease. The Child Neurology Society Research Committee engaged in collaborative, iterative literature review and committee deliberations to prepare this consensus statement., Results: We identified important challenges for gene-targeted therapies that require resource investments, infrastructure development, and strategic planning. Barriers include inequities in diagnosis and delivery of therapies, high costs, and a need for long-term surveillance of efficacy and safety, including systematic tracking of unanticipated effects. Key uncertainties regarding technical aspects and usage of gene-targeted therapies should be addressed, and characterization of new natural histories of diseases will be needed. Counterbalanced with these obstacles and uncertainties is the tremendous potential being demonstrated in treatments and clinical trials of gene-targeted therapies., Conclusions: Given that gene-targeted therapies for neurological diseases are in their earliest phase, the pediatric neurology community can play a vital role in their guidance and implementation. This role includes facilitating development of infrastructure and guidelines; ensuring efficient, equitable, and ethical implementation of treatments; and advocating for affordable and broad access for all children., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Secondary immunodeficiencies (SIDs) are acquired conditions that may occur as sequelae of immune therapy. In recent years a number of disease-modifying therapies (DMTs) has been approved for multiple sclerosis and related disorders such as neuromyelitis optica spectrum disorders, some of which are frequently also used in- or off-label to treat conditions such as chronic inflammatory demyelinating polyneuropathy (CIDP), myasthenia gravis, myositis, and encephalitis. In this review, we focus on currently available immune therapeutics in neurology to explore their specific modes of action that might contribute to SID, with particular emphasis on their potential to induce secondary antibody deficiency. Considering evidence from clinical trials as well as long-term observational studies related to the patients' immune status and risks of severe infections, we delineate long-term anti-CD20 therapy, with the greatest data availability for rituximab, as a major risk factor for the development of SID, particularly through secondary antibody deficiency. Alemtuzumab and cladribine have relevant effects on circulating B-cell counts; however, evidence for SID mediated by antibody deficiency appears limited and urgently warrants further systematic evaluation. To date, there has been no evidence suggesting that treatment with fingolimod, dimethyl fumarate, or natalizumab leads to antibody deficiency. Risk factors predisposing to development of SID include duration of therapy, increasing age, and pre-existing low immunoglobulin (Ig) levels. Prevention strategies of SID comprise awareness of risk factors, individualized treatment protocols, and vaccination concepts. Immune supplementation employing Ig replacement therapy might reduce morbidity and mortality associated with SIDs in neurological conditions. In light of the broad range of existing and emerging therapies, the potential for SID warrants urgent consideration among neurologists and other healthcare professionals., (© 2021. The Author(s).)

The COVID-19 pandemic has had a profound impact on neuroscientists, including those involved in translational research. In this NeuroView, we discuss the positive and negative effects of the pandemic on preclinical research and clinical studies in humans., Competing Interests: Declaration of interests D.M.H. is an inventor on a patent licensed by Washington University to C2N Diagnostics and subsequently to AbbVie on the therapeutic use of anti-tau antibodies. D.M.H. is an inventor on a patent licensed by Washington University to Eli Lilly on a humanized anti-amyloid-β antibody. D.M.H. co-founded and is on the scientific advisory board to C2N Diagnostics. D.M.H. is on the scientific advisory board of Denali and Cajal Neurosciences and consults for Genentech, Takeda, and Eli Lilly. The lab of D.M.H. receives research funding to Washington University from C2N Diagnostics, Novartis, and NextCure. B.J.S. is on the Biogen advisory board., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Objective: To describe inpatient length of stay patterns, identify key drivers related to prolonged length of stay, and evaluate the relationship between length of stay and readmission in pediatric neurology., Methods: This was a retrospective review of patients <19 years old admitted with a principal neurologic diagnosis to our hospital between January 2017 and July 2019. Scheduled admissions and hospital admissions lasting >30 days were excluded from analysis. Length of stay was obtained in addition to demographic characteristics, principal discharge diagnosis, multispecialty care, use of multiple antiseizure medications, inpatient hospital costs (ie, claims paid), and pediatric intensive care unit (ICU) admission for unplanned admissions and 7- and 30-day readmissions., Results: There were a total of 1579 unplanned admissions. The most common reasons for admission were seizure (n = 942), headache (n = 161), other neurologic diagnosis (n = 121), and psychiatric disorders/functional neurologic disorder (n = 60). Children admitted to the hospital for a neurologic condition have an average length of stay of 2.8±5.0 days for unplanned admissions, 4.5±7.4 days for 7-day readmissions, and 5.2±7.5 days for 30-day readmissions. Average inpatient hospital costs were $44 075±56 976 for unplanned admissions, $60 361±71 427 for 7-day readmissions, and $55 434±56 442 for 30-day readmissions. Prolonged length of stay and increased hospital costs were associated with pediatric ICU admission, multispecialty care, 7- and 30-day readmission, multiple antiseizure medications, and psychiatric disorders / functional neurologic disorders., Conclusions: Pediatric ICU admission, multispecialty care, readmission, multiple antiseizure medications, and psychiatric disorder / functional neurologic disorder prolong length of stay and increase hospital costs.

Many childhood neurologic conditions are first diagnosed in the perinatal period and shorten or seriously alter the lives of affected infants. Neonatal neuropalliative care incorporates core practices and teachings of both neurology and palliative care and is directed toward patients and families affected by serious neurologic conditions in the antenatal and immediate newborn period. This review outlines key considerations for neurologists hoping to provide a neuropalliative care approach antenatally, in the neonatal intensive care unit, and around hospital discharge. We explore 4 core domains of neuropalliative care: (1) family-centered communication, (2) prognostication, (3) decision making, and (4) pain and symptom management. We address special considerations in care at the end of life and in varied cultural and practice contexts.

Preemptive recognition of the ethical implications of study design and algorithm choices in artificial intelligence (AI) research is an important but challenging process. AI applications have begun to transition from a promising future to clinical reality in neurology. As the clinical management of neurology is often concerned with discrete, often unpredictable, and highly consequential events linked to multimodal data streams over long timescales, forthcoming advances in AI have great potential to transform care for patients. However, critical ethical questions have been raised with implementation of the first AI applications in clinical practice. Clearly, AI will have far-reaching potential to promote, but also to endanger, ethical clinical practice. This article employs an anticipatory ethics approach to scrutinize how researchers in neurology can methodically identify ethical ramifications of design choices early in the research and development process, with a goal of preempting unintended consequences that may violate principles of ethical clinical care. First, we discuss the use of a systematic framework for researchers to identify ethical ramifications of various study design and algorithm choices. Second, using epilepsy as a paradigmatic example, anticipatory clinical scenarios that illustrate unintended ethical consequences are discussed, and failure points in each scenario evaluated. Third, we provide practical recommendations for understanding and addressing ethical ramifications early in methods development stages. Awareness of the ethical implications of study design and algorithm choices that may unintentionally enter AI is crucial to ensuring that incorporation of AI into neurology care leads to patient benefit rather than harm., (© 2021 American Academy of Neurology.)

Background: Changes in cerebral blood flow in response to neuronal activation can be measured by time-dependent fluctuations in hemoglobin species within the brain; this is the basis of functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS). There is a clinical need for portable neural imaging systems, such as fNIRS, to accommodate patients who are unable to tolerate an MR environment., Objective: Our objective was to compare task-related full-head fNIRS and fMRI signals across cortical regions., Methods: Eighteen healthy adults completed a same-day fNIRS-fMRI study, in which they performed right- and left-hand finger tapping tasks and a semantic-decision tones-decision task. First- and second-level general linear models were applied to both datasets., Results: The finger tapping task showed that significant fNIRS channel activity over the contralateral primary motor cortex corresponded to surface fMRI activity. Similarly, significant fNIRS channel activity over the bilateral temporal lobe corresponded to the same primary auditory regions as surface fMRI during the semantic-decision tones-decision task. Additional channels were significant for this task that did not correspond to surface fMRI activity., Conclusion: Although both imaging modalities showed left-lateralized activation for language processing, the current fNIRS analysis did not show concordant or expected localization at the level necessary for clinical use in individual pediatric epileptic patients. Future work is needed to show whether fNIRS and fMRI are comparable at the source level so that fNIRS can be used in a clinical setting on individual patients. If comparable, such an imaging approach could be applied to children with neurological disorders., (Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.)