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Restoration of damaged central nervous system structures, functional recovery, and prevention of neuronal loss during neurodegenerative diseases are major objectives in cerebellar research. The highly organized anatomical structure of the cerebellum with numerous inputs/outputs, the complexity of cerebellar functions, and the large spectrum of cerebellar ataxias render therapies of cerebellar disorders highly challenging. There are currently several therapeutic approaches including motor rehabilitation, neuroprotective drugs, non-invasive cerebellar stimulation, molecularly based therapy targeting pathogenesis of the disease, and neurotransplantation. We discuss the goals and possible beneficial mechanisms of transplantation therapy for cerebellar damage and its limitations and factors determining outcome. [ABSTRACT FROM AUTHOR]

Animex was used to observe the inactive state, regarded to be similar to a sleep state, in socially isolated mice, which were placed in measuring cages just before the onset of a light period. A decreased inactive time in the first 3 h was more observed in these mice compared with mice that were housed in a group. This result suggests that socially isolated mice were more affected by the stimulus of environmental changes, and that the hyperactivity in their central nervous system may be associated with the decrease of their inactive state. [ABSTRACT FROM AUTHOR]

Background: The identification of biomarkers for the early diagnosis of Alzheimer's disease (AD) is a crucial goal of the current research. Blood biomarkers are less invasive, easier to obtain and achievable by a cheaper means than those on cerebrospinal fluid (CSF) and significantly more economic than functional neuroimaging investigations; thus, a great interest is focused on blood isoforms of the phosphorylated Tau protein (pTau), indicators of ongoing tau pathology (i.e. neurofibrillary tangles, NFTs, an AD neuropathological hallmark) in the central nervous system (CNS). However, current data often highlight discordant results about the ability of blood pTau to predict CSF status. Objective: We aim to synthesise the studies that compared pTau levels on CSF and blood to assess their correlation in AD continuum. Methods: We performed a narrative literature review using, first, MEDLINE (via PubMed) by means of MeSH terms, and then, we expanded the reults by means of Scopus and Web of Sciences to be as inclusive as possible. Finally, we added work following an expert opinion. Only papers presenting original data on pTau values on both blood and CSF were included. Results: The 33 included studies show an extreme heterogeneity in terms of pTau isoform (pTau181, 217 and 231), laboratory methods, diagnostic criteria and choice of comparison groups. Most studies evaluated plasma pTau181, while data on other isoforms and serum are scarcer. Discussion: Most papers identify a correlation between CSF and blood measurements. Furthermore, even when not specified, it is often possible to show an increase in blood pTau values as AD-related damage progresses in the AD continuum and higher values in AD than in other neurodegenerative diseases. Notably, plasma pTau231 seems the first biomarker to look for in the earliest and pre-clinical stages, quickly followed by pTau217 and, finally, by pTau181. Conclusions: Our results encourage the use of blood pTau for the early identification of patients with AD continuum. [ABSTRACT FROM AUTHOR]

Purpose: Knowledge of neurovascular anatomy is vital for neurosurgeons, neurologists, neuro-radiologists and anatomy students, amongst others, to fully comprehend the brain's anatomy with utmost depth. This paper aims to enhance the foundational knowledge of novice physicians in this area. Method: A comprehensive literature review was carried out by searching the PubMed and Google Scholar databases using primary keywords related to brain vasculature, without date restrictions. The identified literature was meticulously examined and scrutinized. In the process of screening pertinent papers, further articles and book chapters were obtained through analysis and additional assessing of the reference lists. Additionally, four formalin-fixed, color latex-injected cadaveric specimens preserved in 70% ethanol solution were dissected under surgical microscope (Leica Microsystems Inc, 1700 Leider Ln, Buffalo Grove, IL 60089 USA). Using microneurosurgical as well as standard instruments, and a high-speed surgical drill (Stryker Instruments 1941 Stryker Way Portage, MI 49002 USA). Ulterior anatomical dissection was documented in microscopic images. Results: Encephalic circulation functions as a complex network of intertwined vessels. The Internal Carotid Arteries (ICAs) and the Vertebral Arteries (VAs), form the anterior and posterior arterial circulations, respectively. This work provides a detailed exploration of the neurovascular anatomy of the anterior circulation and its key structures, such as the Anterior Cerebral Artery (ACA) and the Middle Cerebral Artery (MCA). Embryology is also briefly covered, offering insights into the early development of the vascular structures of the central nervous system. Cerebral venous system was detailed, highlighting the major veins and tributaries involved in the drainage of blood from the intracranial compartment, with a focus on the role of the Internal Jugular Veins (IJVs) as the primary, although not exclusive, deoxygenated blood outflow pathway. Conclusion: This work serves as initial guide, providing essential knowledge on neurovascular anatomy, hoping to reduce the initial impact when tackling the subject, albeit the intricate vasculature of the brain will necessitate further efforts to be conquered, that being crucial for neurosurgical and neurology related practice and clinical decision-making. [ABSTRACT FROM AUTHOR]

Autosomal recessive cerebellar ataxias (ARCAs) are inherited neurological disorders that can affect both the central and peripheral nervous systems. To assess the effects of interventions according to the perception of people affected, patient-reported outcome measures (PROMs) must be available. This paper presents the development process of the Person-Reported Ataxia Impact Scale (PRAIS), a new PROM in recessive ataxias, and the documentation of its content validity, interpretability, and construct validity (structural and discriminant). The development followed the PROMIS framework and the Food and Drug Administration guidelines. A mixed-method study design was used to develop the PROM. A systematic review of the literature, semistructured interviews, and discussion groups was conducted to constitute an item pool. Experts' consultation helped formulate items, and the questionnaire was sent online to be completed by people affected. Statistical analyses were performed to assess the structural and discriminant validity. A total of 125 people affected by recessive ataxia completed the questionnaire. The factor analysis confirmed the three components: physical functions and activities, mental functions, and social functions. The statistical analysis showed that it can discriminate between stages of mobility and level of autonomy. It showed very good levels of internal consistency (0.79 to 0.89). The Person-Reported Ataxia Impact Scale (PRAIS) is a 38-item questionnaire that assesses the manifestations and impacts of the disease according to the perception of people affected by recessive ataxia. It can be used in clinical and research settings. [ABSTRACT FROM AUTHOR]

Discusses about concepts and theories on the biology and mechanism of aging. Impact of the introduction of molecular biology and gene engineering methods into life sciences on aging theories; Consideration of central nervous system as the initial substrate for aging; Role of telomeres and telomerase in basic processes underlying the fate of cells and whole organisms in terms of aging and death.

This paper presents an automated approach to perform multiclass classification of four majorly diagnosed Central nervous system brain tumors. The Astrocytoma, Glioblastoma multiforme, Meningioma and Oligodendroglioma are the four types of central nervous system brain tumors types, whose classification is being performed with the aid of this proposed approach. In addition, this proposed approach also used to perform binary classification of Glioma brain tumors into low grade and high grade Glioma tumor. The proposed automated approach for multiclass and binary class classification is based on the threshold segmentation of fused Magnetic Resonance Imaging sequences, proposed hybrid feature extraction methods along with shape based features and ensemble learning classifier. The two hybrid feature extraction methods are proposed in this paper, one based on the Discrete wavelet transform + Gradient Grey level co-occurrences matrix and second one based on the Discrete wavelet transform + Local binary pattern + Grey level run length matrix. The extracted texture features along with the shape based features are further reduced employing Principal component analysis. The resulted selected features are finally used to train the majority voting based ensemble classifier model with the aid of Central nervous system local dataset, Brain Tumor Segmentation 2013 and 2015 global dataset. The proposed automated system delivers an accuracies of 99.12, 95.24, 97.62 and 97.62 for the correct classification of Astrocytoma, Glioblastoma multiforme, Meningioma and Oligodendroglioma over the Central nervous system local dataset. Whereas delivers an accuracy of 100 and 99.52 for the binary classification of Glioma on the Brain Tumor Segmentation 2013 and 2015 global datasets employing 10-fold cross validation. [ABSTRACT FROM AUTHOR]

In this paper, for the first time, we showed that an Internode Segment (INS) of a myelinated axon acts as a lowpass filter, and its filter characteristics depend on the number of myelin turns. Consequently, we showed how the representability of a neural signal could be altered with myelin loss in pathological conditions involving demyelinating diseases. Contrary to the traditionally held viewpoint that myelin geometry of an INS is optimised for maximising Conduction Velocity (CV) of Action Potential (AP), our theory provides an alternative viewpoint that myelin geometry of an INS is optimised for maximizing representability of the stimuli a fibre is meant to carry. Subsequently, we show that this new viewpoint could explain hitherto unexplained experimentally observed phenomena such as, shortening of INS length during demyelination and remyelination, and non-uniform distribution of INS in the central nervous system fibres and associated changes in diameter of nodes of ranvier along an axon. Finally, our theory indicates that a compensatory action could take place during demyelination up to a certain number of loss of myelin turns to preserve the neural signal representability by simultaneous linear scaling of the length of an INS and the inner radius of the fibre. [ABSTRACT FROM AUTHOR]

Brain-computer interfaces (BCIs) allow direct communication between one's central nervous system and a computer without any muscle movement hence by-passing the peripheral nervous system. They can restore disabled people's ability to interact with their environment, e.g. communication and wheelchair control. However, to this day their performance is still hindered by the non-stationarity of electroencephalography (EEG) signals, as well as their susceptibility to noise from the users' environment and from their own physiological activity. Moreover, a non-negligible amount of users struggle to use BCI systems based on motor imagery. In this paper, a new method based on the path signature is introduced to tackle this problem by using features which are different from the usual power-based ones. The path signature is a series of iterated integrals computed from a multidimensional path. It is invariant under translation and time reparametrization, which makes it a robust feature for multichannel EEG time series. The performance can be further boosted by combining the path signature with the gold standard Riemannian classifier in the BCI field exploiting the geometric structure of symmetric positive definite (SPD) matrices. The results obtained on publicly available datasets show that the signature method is more robust to inter-user variability than classical ones, especially on noisy and low-quality data. Hence, this study paves the way towards the use of mathematical tools that until now have been neglected, in order to tackle the EEG-based BCI variability issue. It also sheds light on the lead-lag relationship captured by path signature which seems relevant to assess the underlying neural mechanisms. [ABSTRACT FROM AUTHOR]

Background: Central nervous system (CNS) tumors are among the most common malignancies in various age ranges. Low-grade glioma (LGG) can account for nearly 30% of pediatric CNS malignancies. Progression or recurrence after the first-line treatments is common among these patients. Therefore, more treatments are required. Bevacizumab as an anti-VEGF antibody has come into the spotlight recently and is especially used in relapse or recurrence settings. This review aims to study the safety and efficacy of bevacizumab for patients with recurrent LGG. Methods: This study was conducted according to The Preferred Reporting Items for Systematic Reviews and Meta-Analyses. PubMed, Scopus, Web of Science, and Embase were comprehensively searched using the relevant key terms until 24th August 2023 to retrieve the studies that investigated clinical outcomes of bevacizumab in patients with recurrent LGG. All statistical analysis was performed by STATA v.17. Results: A total of 1306 papers were gathered, out of which 13 were incorporated in the meta-analysis. The pooled incidence rate of treatment according to the RANO scale was 70% (95% CI = 43–98%) for objective response rate, 26% (95% CI = 58–96%) for partial response, 21% (95% CI = 15–28%) for minor response, 14% (95% CI = 3–24%) for complete response, 48% (95% CI = 37–59%) for stable disease, and 8% (95% CI = 4–11%) for progressive disease. Furthermore, according to progressive survival after treatment, it was 4% (95% CI = −1 to 9%) for 6-month PFS, 41% (95% CI = 32–50%) for 2-year PFS, and 29% (95% CI = 22–35%) for 3-year PFS. Conclusion: According to the RANO scale and PFS, clinicians should be aware that Bevacizumab could be a favorable alternative therapy for recurrent LGG. Furthermore, bevacizumab exhibits minimal toxicity and high tolerability in recurrent LGG. [ABSTRACT FROM AUTHOR]

Despite swallowing being a frequently performed daily function, it is highly complex. For a safe swallow to occur, muscles within the head, neck, and thorax need to contract in a concerted pattern, controlled by several swallowing centers at multiple levels of the central nervous system, including the midbrain, cerebral cortex, and cerebellum in addition to five cranial nerves. Dysphagia, or difficulty swallowing, is caused by a long list of pathologic processes and diseases, which can interfere with various stages along the swallowing sensorimotor pathway. When present, dysphagia leads to increased mortality, morbidity, hospital length of stay, and reduced quality of life. Current dysphagia management approaches, such as altering the texture and consistency of foods and fluids and teaching patients rehabilitative exercises, have been broadly unchanged for many years and, in the case of texture modification, are of uncertain effectiveness. However, evidence is emerging in support of new medication-based and neuromodulatory treatment approaches. Regarding medication-based therapies, most research has focused on capsaicinoids, which studies have shown are able to improve swallowing in patients with post-stroke dysphagia. Separately, albeit convergently, in the field of neuromodulation, there is a growing and positive evidential base behind three non-invasive brain stimulation techniques: repetitive transcranial magnetic stimulation (rTMS), transcranial direct current stimulation (TDCS), and pharyngeal electrical stimulation (PES). Should some or all of these emerging therapies fulfill their promise, dysphagia-related patient outcomes may be improved. This paper describes the current state of our understanding regarding new medication and neuromodulation-based neurogenic oropharyngeal dysphagia treatments. [ABSTRACT FROM AUTHOR]

Dopamine (DA) is a catecholamine neurotransmitter widely distributed in the central nervous system. It participates in various physiological functions, such as feeding, anxiety, fear, sleeping and arousal. The regulation of feeding is exceptionally complex, involving energy homeostasis and reward motivation. The reward system comprises the ventral tegmental area (VTA), nucleus accumbens (NAc), hypothalamus, and limbic system. This paper illustrates the detailed mechanisms of eight typical orexigenic and anorexic neuropeptides that regulate food intake through the reward system. According to recent literature, neuropeptides released from the hypothalamus and other brain regions regulate reward feeding predominantly through dopaminergic neurons projecting from the VTA to the NAc. In addition, their effect on the dopaminergic system is mediated by the prefrontal cortex, paraventricular thalamus, laterodorsal tegmental area, amygdala, and complex neural circuits. Research on neuropeptides involved in reward feeding can help identify more targets to treat diseases with metabolic disorders, such as obesity. [ABSTRACT FROM AUTHOR]

Background: Protocadherin 10 (PCDH 10), a member of the superfamily of protocadherins, is a Ca2+-dependent homophilic cell-cell adhesion molecule expressed on the surface of cell membranes. Protocadherin 10 plays a critical role in the central nervous system including in cell adhesion, formation and maintenance of neural circuits and synapses, regulation of actin assembly, cognitive function and tumor suppression. Additionally, Pcdh10 can serve as a non-invasive diagnostic and prognostic indicator for various cancers. Methods: This paper collects and reviews relevant literature in Pubmed. Conclusion: This review describes the latest research understanding the role of Pcdh10 in neurological disease and human cancer, highlighting the importance of scrutinizing its properties for the development of targeted therapies and identifying a need for further research to explore Pcdh10 functions in other pathways, cell types and human pathologies. [ABSTRACT FROM AUTHOR]

Major research breakthroughs over the past 30 years in the field of substance use prevention have served to: (1) enhance understanding of pharmacological effects on the central and peripheral nervous systems and the health and social consequences of use of psychoactive substances, particularly for children and adolescents; (2) delineate the processes that increase vulnerability to or protect from initiation of substance use and progression to substance use disorders (SUDs) and, based on this understanding, (3) develop effective strategies and practices to prevent the initiation and escalation of substance use. The challenge we now face as a field is to "normalize" what we have learned from this research so that it is incorporated into the work of those involved in supporting, planning, and delivering prevention programming to populations around the world, is integrated into health and social service systems, and helps to shape public policies. But we wish to go further, to incorporate these effective prevention practices into everyday life and the mind-sets of the public, particularly parents and educators. This paper reviews the advances that have been made in the field of prevention and presents a framework and recommendations to achieve these objectives generated during several meetings of prevention and implementation science researchers sponsored by the International Consortium of Universities for Drug Demand Reduction (ICUDDR) that guides a roadmap to achieve "normalization." [ABSTRACT FROM AUTHOR]

Multiple sclerosis (MS) is a progressive disease that often affects the cerebellum. It is characterised by demyelination, inflammation, and neurodegeneration within the central nervous system. Damage to the cerebellum in MS is associated with increased disability and decreased quality of life. Symptoms include gait and balance problems, motor speech disorder, upper limb dysfunction, and oculomotor difficulties. Monitoring symptoms is crucial for effective management of MS. A combination of clinical, neuroimaging, and task-based measures is generally used to diagnose and monitor MS. This paper reviews the present and new tools used by clinicians and researchers to assess cerebellar impairment in people with MS (pwMS). It also describes recent advances in digital and home-based monitoring for people with MS. [ABSTRACT FROM AUTHOR]

Leukoencephalopathy with calcifications and cysts (LCC; OMIM #614561) is a rare disease and at present there are less than 100 cases reported worldwide. Mutations in the SNORD118 gene is now known to be the cause of LCC. We present a case who was heterozygous for the n.70G>A and n.6C>T sequence variants of the SNORD118 gene, variants which to date have not been described. Compared with the cases that we reviewed, our patient had the second longest time to diagnosis (age 56) from onset of symptoms 40 years prior. Moreover, his cousin's family has a high prevalence of epilepsy. This paper reviewed all published reports to date that had descriptive cases involving LCC as well as testing for the SNORD118 gene. Since 1996 only 85 patients have been described in 59 case reports. In this review, we summarize their clinical features, especially central nervous system symptoms, treatment, pathology, and gene testing results. [ABSTRACT FROM AUTHOR]

Spina bifida is a serious birth defect affecting the central nervous system, characterized by incomplete closure of the neural tube. Ethiopia has a very high prevalence of spina bifida, affecting about 40 cases per 10,000 births. Babies born with spina bifida require early closure surgery, done within the first 2–3 days after birth. Some babies need repeat surgeries to address complications, including hydrocephalus. Without medical care, babies have a high risk of death within the first 5 years of their life. Neurosurgical capacity for spina bifida closure surgery at birth is a relatively new development in Ethiopia. ReachAnother Foundation, a not-for-profit organization based in OR, USA, started work in Ethiopia in 2009 and has been instrumental in training neurosurgeons and improving treatment for spina bifida and hydrocephalus. Along with the development of neurosurgical care, the Foundation has invested in training multi-disciplinary teams to conduct patient aftercare and has launched a platform for improved patient outcomes research. As of year 2022, they support six spina bifida "Centers of Excellence" nationwide and are continuously advocating for primary prevention of spina bifida through mandatory fortification of staple foods in Ethiopia. This paper describes ReachAnother's efforts in Ethiopia in a short interval of time, benefiting numerous patients and families with spina bifida and anencephaly. We document this as a case study for other countries to model where resources are limited and the prevalence of spina bifida and hydrocephalus is high, especially in Asia and Africa. [ABSTRACT FROM AUTHOR]

The paper considers the structure of intermuscular synergetic interaction that ensures the athlete's body stopping on the trampoline after a jump. We compared the spatio-temporal characteristics of muscle synergies extracted from the skeletal muscles electroactivity amplitude and frequency of biopotentials data. The objective of the study was to find out whether the extracted kinematic modules represent the central mechanisms for the movement structure controlling as well as to determine the variables which should be stabilized by muscle synergies activity. The extraction of synergies was carried out using the matrix factorization method. It has been established that trampoline jump stopping can be performed using common patterns of muscle synergies spatio-temporal activation. The synergistic effects obtained using different approaches of instrumental assessment of skeletal muscle electroactivity probably reflect different control mechanisms implemented at different levels of the central nervous system. Muscle synergies are aimed at the stabilizing of the certain anthropometric points movement, as well as body segments, combined into kinematic modules. The structure of the kinematic modules themselves indicates the effective organization of intermuscular interaction, indirectly reflecting the central control mechanisms of complex multi-joint movement. [ABSTRACT FROM AUTHOR]

Noises are ubiquitous in sensorimotor interactions and contaminate the information provided to the central nervous system (CNS) for motor learning. An interesting question is how the CNS manages motor learning with imprecise information. Integrating ideas from reinforcement learning and adaptive optimal control, this paper develops a novel computational mechanism to explain the robustness of human motor learning to the imprecise information, caused by control-dependent noise that exists inherently in the sensorimotor systems. Starting from an initial admissible control policy, in each learning trial the mechanism collects and uses the noisy sensory data (caused by the control-dependent noise) to form an imprecise evaluation of the performance of the current policy and then constructs an updated policy based on the imprecise evaluation. As the number of learning trials increases, the generated policies mathematically provably converge to a (potentially small) neighborhood of the optimal policy under mild conditions, despite the imprecise information in the learning process. The mechanism directly synthesizes the policies from the sensory data, without identifying an internal forward model. Our preliminary computational results on two classic arm reaching tasks are in line with experimental observations reported in the literature. The model-free control principle proposed in the paper sheds more lights into the inherent robustness of human sensorimotor systems to the imprecise information, especially control-dependent noise, in the CNS. [ABSTRACT FROM AUTHOR]

Volatile oil from traditional Chinese medicine has various biological activities and has pharmacological activities in the central nervous system, digestive system, cardiovascular system, respiratory system, etc. These oils are widely used in clinical practice. However, the development of their clinical applications is restricted due to the disadvantages of volatile oils, such as high stimulation, high volatility and poor stability. To improve the stability of a volatile oil in the preparation process, its volatilization and stable release must be controlled. In this paper, porous starch was used as a solid carrier material, and liquid volatile oil was solidified by physical adsorption. GC–MS was used to determine the chemical constituents of the volatile oil, solidified powder and tablets, and the volatilization rules of 34 chemical constituents were analysed statistically. The solidified volatile oil/porous starch powder was characterized by XRD, TGA and DSC, and the VOCs of the volatile oil before and after solidification were analysed by portable GC–MS. Finally, the stable release of the volatile oil could be optimized by changing the porous starch ratio in the formulation. Volatilization was shown to be closely related to the peak retention time and chemical composition, which was consistent with the theory of flavour. The physical properties and chemical composition of the volatile oil did not change after curing, indicating that the adsorption of the volatile oil by porous starch was physical adsorption. In this paper, the porous starch-solidified volatile oil had a slow-release effect, and the production process is simple, easy to operate, and has high application value. [ABSTRACT FROM AUTHOR]

While the epidemic of Coronavirus disease 2019 (COVID-19) continues to spread globally, more and more evidences are collected about the presence of neurological manifestations and symptoms associated with it. A systematic review has been performed of papers published until 5 April 2020. 29 papers related to neurological manifestations associated with COVID-19 were examined. The results show presence of central and peripheral nervous system manifestations related to coronavirus. Neurological manifestations, or NeuroCOVID, are part of the COVID-19 clinical picture, but questions remain regarding the frequency and severity of CNS symptoms, the mechanism of action underlying neurological symptoms, and the relationship of symptoms with the course and severity of COVID-19. Further clinical, epidemiological, and basic science research is urgently needed to understand and address neurological sequalae of COVID-19. Concomitant risk factors or determinants (e.g. demographic factors, comorbidities, or available biomarkers) that may predispose a person with COVID-19 to neurological manifestations also need to be identified. The review shows that although more and more papers are reporting neurological manifestations associated with COVID-19; however, many items remain unclear and this uncertainty calls for a global action that requires close coordination and open-data sharing between hospitals, academic institutions and the fast establishment of harmonised research priorities and research consortia to face the NeuroCOVID-19 complications. [ABSTRACT FROM AUTHOR]

Annexins, a group of Ca2+-dependent phospholipid-binding proteins, exert diverse roles in neuronal development, normal central nervous system (CNS) functioning, neurological disorders, and CNS tumors. This paper reviews the roles of individual annexins (A1-A13) in these contexts. Annexins possess unique structural and functional features, such as Ca2+-dependent binding to phospholipids, participating in membrane organization, and modulating cell signaling. They are implicated in various CNS processes, including endocytosis, exocytosis, and stabilization of plasma membranes. Annexins exhibit dynamic roles in neuronal development, influencing differentiation, proliferation, and synaptic formation in CNS tissues. Notably, annexins such as ANXA1 and ANXA2 play roles in apoptosis and blood-brain barrier (BBB) integrity. Neurological disorders, including Alzheimer's disease, multiple sclerosis, and depression, involve annexin dysregulation, influencing neuroinflammation, blood-brain barrier integrity, and stress responses. Moreover, annexins contribute to the pathogenesis of CNS tumors, either promoting or suppressing tumor growth, angiogenesis, and invasion. Annexin expression patterns vary across different CNS tumor types, providing potential prognostic markers and therapeutic targets. This review underscores the multifaceted roles of annexins in the CNS, highlighting their importance in normal functioning, disease progression, and potential therapeutic interventions. [ABSTRACT FROM AUTHOR]

Congenital melanocytic naevus (CMN) syndrome, previously termed neurocutaneous melanosis, is a rare disease caused by postzygotic mosaic mutations occurring during embryogenesis in precursors of melanocytes. The severity of neurological manifestations in CMN patients is related to central nervous system abnormalities found at magnetic resonance imaging. The association between CMN and Dandy–Walker malformation (DWM) has been described in the literature, but recent advances in imaging and genetics lead to diagnostic criteria revision. In this paper, we aim to re-evaluate the proposed association by reviewing the available literature and present a patient with CMN and a large posterior fossa cyst. [ABSTRACT FROM AUTHOR]

Extracellular vesicles (EVs), including exosomes, microvesicles, and oncosomes, are nano-sized particles enclosed by a lipid bilayer. EVs are released by virtually all eukaryotic cells and have been shown to contribute to intercellular communication by transporting proteins, lipids, and nucleic acids. In the context of neurodegenerative diseases, EVs may carry toxic, misfolded forms of amyloidogenic proteins and facilitate their spread to recipient cells in the central nervous system (CNS). CNS-originating EVs can cross the blood–brain barrier into the bloodstream and may be found in other body fluids, including saliva, tears, and urine. EVs originating in the CNS represent an attractive source of biomarkers for neurodegenerative diseases, because they contain cell- and cell state-specific biological materials. In recent years, multiple papers have reported the use of this strategy for identification and quantitation of biomarkers for neurodegenerative diseases, including Parkinson's disease and atypical parkinsonian disorders. However, certain technical issues have yet to be standardized, such as the best surface markers for isolation of cell type-specific EVs and validating the cellular origin of the EVs. Here, we review recent research using CNS-originating EVs for biomarker studies, primarily in parkinsonian disorders, highlight technical challenges, and propose strategies for overcoming them. [ABSTRACT FROM AUTHOR]

The paper presents the motor synergies' structure at the muscular and kinematic levels of their study during performing various sports balance postures. The features of the formation and modification of synergetic modules depending on the motor task are considered. An attempt is made to combine some computational aspects applied according of various concepts of synergetic control. The tools for identifying and analyzing synergy parameters included regression analysis and data factorization methods. It has been established that differing in biomechanical structure balance exercises can be realized using common patterns of kinematic synergies spatial organization, however, at the muscular level, the existence of common spatial activation profiles is not obvious. The presence of several different time patterns of synergy activation in the structure of each balance exercise has been revealed, which may be associated with various motor control strategies in the central nervous system. The structure of kinematic synergies may be influenced by artificial degrees of freedom restriction, unrelated to central control processes. It is shown that the inclusion of the concept of "variables' area" in the motor control modular organization theory contributes to the convergence of existing motor control concepts based on synergy principle. [ABSTRACT FROM AUTHOR]

Brain metastasis (BM) is one of the main complications of many cancers, and the most frequent malignancy of the central nervous system. Imaging studies of BMs are routinely used for diagnosis of disease, treatment planning and follow-up. Artificial Intelligence (AI) has great potential to provide automated tools to assist in the management of disease. However, AI methods require large datasets for training and validation, and to date there have been just one publicly available imaging dataset of 156 BMs. This paper publishes 637 high-resolution imaging studies of 75 patients harboring 260 BM lesions, and their respective clinical data. It also includes semi-automatic segmentations of 593 BMs, including pre- and post-treatment T1-weighted cases, and a set of morphological and radiomic features for the cases segmented. This data-sharing initiative is expected to enable research into and performance evaluation of automatic BM detection, lesion segmentation, disease status evaluation and treatment planning methods for BMs, as well as the development and validation of predictive and prognostic tools with clinical applicability. [ABSTRACT FROM AUTHOR]

Meningiomas are the most common neoformations of the central nervous system, and represent the 33% of all intracranial neoplasms. The nasosinusal tract is involved in 24% of cases of extracranial localization. The aim of our paper is to present the case of a patient with an ethmoidal sinus meningioma. [ABSTRACT FROM AUTHOR]

Prion diseases, also known as transmissible spongiform encephalopathies, are caused by the accumulation of abnormal isoforms of the prion protein (scrapie isoform of the prion protein, PrPSc) in the central nervous system. Many compounds with anti-prion activities have been found using in silico screening, in vitro models, persistently prion-infected cell models, and prion-infected rodent models. Some of these compounds include several types of polymers. Although the inhibition or removal of PrPSc production is the main target of therapy, the unique features of prions, namely protein aggregation and assembly accompanied by steric structural transformation, may require different strategies for the development of anti-prion drugs than those for conventional therapeutics targeting enzyme inhibition, agonist ligands, or modulation of signaling. In this paper, we first overview the history of the application of polymers to prion disease research. Next, we describe the characteristics of each type of polymer with anti-prion activity. Finally, we discuss the common features of these polymers. Although drug delivery of these polymers to the brain is a challenge, they are useful not only as leads for therapeutic drugs but also as tools to explore the structure of PrPSc and are indispensable for prion disease research. [ABSTRACT FROM AUTHOR]

Major facilitator superfamily-domain containing 2a (Mfsd2a) is selectively expressed in vascular endotheliocytes and plays a crucial role in maintaining the integrity of the blood‒brain barrier and the transport of docosahexaenoic acid. It is currently recognized as the only molecule that inhibits endocytosis mediated by caveolae in brain endothelial cells. Mfsd2a gene knockout leads to an increase in the permeability of the blood–brain barrier from embryonic stages to adulthood while maintaining the normal pattern of the vascular network. In Mfsd2a knockout mice, the docosahexaenoic acid content is significantly reduced and associated with neuron loss, resulting in microcephaly and cognitive impairment. Based on the role of Mfsd2a in the central nervous system, it has been preliminarily suggested as a potential therapeutic target for drug delivery to the central nervous system. This paper reviews the current progress in Mfsd2a research and summarizes the physiological functions of Mfsd2a in the central nervous system and its role in the occurrence and development of a variety of neurological diseases. [ABSTRACT FROM AUTHOR]

Cases of monkeypox (MPV) are sharply rising around the world. While most efforts are being focused on the management of the first symptoms of monkeypox, such as cutaneous lesions and flu-like symptoms, the effect of the monkeypox virus (MPXV) on multiple organs still remains unclear. Recently, several neurological manifestations, such as headache, myalgia, malaise, fatigue, altered consciousness, agitation, anorexia, nausea, and vomiting, have been reported in patients with MPV. In addition, data from experimental studies have indicated that MPXV can gain access to the central nervous system (CNS) through the olfactory epithelium and infected circulatory monocytes/macrophages as two probable neuroinvasive mechanisms. Therefore, there are growing concerns about the long-term effect of MPXV on the CNS and subsequent neurological complications. This paper highlights the importance of the neuroinvasive potential of MPXV, coupled with neurological manifestations. [ABSTRACT FROM AUTHOR]

Clear cell meningiomas are a rare histological subtype of World Health Organization (WHO) grade II meningioma. Despite its relatively low frequency, clear cell meningioma has attracted considerable attention because of its unique pathological characteristics, clinical behavior, and challenging management considerations. The purpose of our systematic review is to provide clinicians with a better understanding of this rare disease. PubMed was searched for articles in the English language published from 1988 to 2023 June. The keywords were as follows: "clear cell meningioma," "clear cell" and "meningioma." We analyzed clinical manifestations, radiological manifestations, pathological features, comprehensive treatment strategies, and prognosis to determine the factors influencing recurrence-free survival (RFS). Recurrence-free survival curves of related factors were calculated by the Kaplan‒Meier method. The log-rank test and Cox univariate analysis were adopted to assess the intergroup differences and seek significant factors influencing prognosis and recurrence. Fifty-seven papers met the eligibility criteria, including 207 cases of clear cell meningioma (CCM), which were confirmed by postoperative pathology. The fifty-seven articles involved 84 (40.6%) males and 123 (59.4%) females. The average age at diagnosis was 27.9 years (range, 14 months to 84 years). Among the symptoms observed, headache, neurologic deficit, and hearing loss were the most commonly reported clinical manifestations. Most tumors (47.8%) were located in the skull base region. Most tumors showed significant enhancement, and homogeneous enhancement was more common. A total of 152 (74.1%) patients underwent gross total resection (GTR), and 53 (25.9%) patients underwent subtotal resection (STR). During the follow-up, the tumor recurred in 80 (39.4%) patients. The log-rank test and the Cox univariate analysis revealed that tumor resection range (GTR vs. STR) and adjuvant treatment (YES vs. NO) were significant predictors of recurrence-free survival (RFS). Clear cell meningioma is a rare type of meningioma with challenging diagnosis and therapy. The prognosis of this disease is different from that of regular meningiomas. Recurrence remains a possibility even after total tumor resection. We found that the surgical resection range and adjuvant treatment affected the recurrence period. This finding provides significant guidance for the treatment of clear cell meningioma. [ABSTRACT FROM AUTHOR]

Hyponatremia is a common electrolyte abnormality with important prognostic and therapeutic implications. It might exert detrimental effects on various organ systems including the central nervous system (CNS), bone, and heart along with its potential association with poor quality of life. These adverse effects might be largely mediated through a variety of mechanisms including osmotic stress, dysfunctional transmembrane exchangers, and enhanced oxidative stress. Interestingly, hyponatremia might also have an important association with takotsubo syndrome (TTS) that has been universally considered as a reversible form of cardiomyopathy usually emerging in response to various stressors. In this context, severe hyponatremia was previously reported to serve as a direct trigger of TTS evolution largely through its potential impact on CNS and heart. However, pathogenetic and clinical implications of hyponatremia still need to be thoroughly evaluated in patients with TTS. This paper aims to analyze the clinical features of published cases with TTS primarily triggered by hyponatremia and also aims to discuss the association between hyponatremia and TTS from a broader perspective. [ABSTRACT FROM AUTHOR]

Viral encephalitis is a contagious disease that causes life insecurity and is considered one of the major health concerns worldwide. It causes inflammation of the brain and, if left untreated, can have persistent effects on the central nervous system. Conspicuously, this paper proposes an intelligent cyber-physical healthcare framework based on the IoT–fog–cloud collaborative network, employing soft-computing technology and information fusion. The proposed framework uses IoT-based sensors, electronic medical records, and user devices for data acquisition. The fog layer, composed of numerous nodes, processes the most specific encephalitis symptom-related data to classify possible encephalitis cases in real time to issue an alarm when a significant health emergency occurs. Furthermore, the cloud layer involves a multi-step data processing scheme for in-depth data analysis. First, data obtained across multiple data generation sources are fused to obtain a more consistent, accurate, and reliable feature set. Data preprocessing and feature selection techniques are applied to the fused data for dimensionality reduction over the cloud computing platform. An adaptive neuro-fuzzy inference system is applied in the cloud to determine the risk of a disease and classify the results into one of four categories: no risk, probable risk, low risk, and acute risk. Moreover, the alerts are generated and sent to the stakeholders based on the risk factor. Finally, the computed results are stored in the cloud database for future use. For validation purposes, various experiments are performed using real-time datasets. The analysis results performed on the fog and cloud layers show higher performance than the existing models. Future research will focus on the resource allocation in the cloud layer while considering various security aspects to improve the utility of the proposed work. [ABSTRACT FROM AUTHOR]

To date, intracellular calcium reporters are the most commonly used optical probes for detecting neuron activity. Synthetic low molecular weight and genetically encoded protein compounds provide an enormous variety of accessible methods for recording signals of different intensity at different levels of studying the nervous system, from detecting activity in synaptic boutons and dendritic spines to recording the activity of the central nervous system in free behavior in vivo. This paper presents a comparative description of methods for optical recording of changes in the intracellular calcium concentration and compares original experimental data obtained by each of the methods described. Advantages and drawbacks are described, and the potential areas of application of each of the commercially available and widely used types of calcium-sensitive reporters are outlined. [ABSTRACT FROM AUTHOR]

The cause of most Parkinson's disease cases is unknown. However, it is well documented that mitochondrial dysfunction and misfolded α synuclein aggregation are important cellular abnormalities associated with the disease. In this paper, we use the microcompetition model to show how latent viruses, which infect the central and peripheral nervous systems, can cause the observed mitochondrial dysfunction and excess α synuclein aggregation, and eventually, Parkinson's disease. [ABSTRACT FROM AUTHOR]

Background: The World Health Organization (WHO) Classification of Tumours, also known as WHO Blue Books, represents an international standardised tool in the diagnostic work-up of tumours. This classification system is under continuous revision, and progress in the molecular classification of tumours in the central nervous system (CNS) enforced an update of the WHO 2016 classification, and the fifth edition, WHO CNS5, was published in 2021. The aim of this minireview is to highlight important changes in this new edition relevant for the practicing neurosurgeon. Methods: The sixth volume of the fifth edition of the WHO Blue Books of CNS tumours and related papers formed the basis for this minireview. Results: Major changes encompass standardisation of tumour grading and nomenclature as well as increased incorporation of molecular markers in the classification of CNS tumours. Conclusion: Advances in molecular genetics have resulted in more accurate diagnosis and prognosis of CNS tumours, and this minireview summarises important changes implemented in the last edition of WHO classification of CNS tumours important for the practicing neurosurgeon. [ABSTRACT FROM AUTHOR]

Evidence suggests that β-secretase (BACE1), which cleaves Amyloid Precursor Protein (APP) to form sAPPβ and amyloid-β, is elevated in Alzheimer's disease (AD) brains and biofluids and, thus, BACE1 is a therapeutic target for this devastating disease. The direct product of BACE1 cleavage of APP, sAPPβ, serves as a surrogate marker of BACE1 activity in the central nervous system. This biomarker could be utilized to better understand normal APP processing, aberrant processing in the disease setting, and modulations to processing during therapeutic intervention. In this paper, we present a method for measuring the metabolism of sAPPβ and another APP proteolytic product, sAPPα, in vivo in humans using stable isotope labeling kinetics, paired with immunoprecipitation and liquid chromatography/tandem mass spectrometry. The method presented herein is robust, reproducible, and precise, and allows for the study of these analytes by taking into account their full dynamic potential as opposed to the traditional methods of absolute concentration quantitation that only provide a static view of a dynamic system. A study of in vivo cerebrospinal fluid sAPPβ and sAPPα kinetics using these methods could reveal novel insights into pathophysiological mechanisms of AD, such as increased BACE1 processing of APP. [ABSTRACT FROM AUTHOR]

Cancer is considered a leading cause of mortality in both developed and developing countries. Cancer classification based on the microarray dataset has provided insight into possible treatment strategies. A complicated and high-dimensional number of genes and a few numbers of instances are characteristics of the microarray datasets. Gene selection is therefore a challenging and required task for the data analysis of microarray expression. The selection of genes may reveal insight into the underlying mechanism of a particular biological phenomenon. Several academics have recently developed methods of feature selection, utilizing metaheuristic algorithms for interpreting and analyzing microarray data. Nevertheless, due to the few numbers of samples in microarray data compared to the high dimensionality, several data mining approaches have been unsuccessful to select the most relevant and informatics genes. As a result, incorporating various classifiers can enhance feature selection and classification performance. The current study aims to propose a method for cancer classification by employing ensemble learning. Hence, in this paper, particle swarm optimization and an ensemble learning method collaborate for feature selection and cancer classification. As a result, the analysis indicates the effectiveness of the proposed method for cancer classification based on microarray datasets, and in terms of accuracy, the performance outcomes are 100%, 92.86%, 86.36%, 100%, 85.71% for leukemia, colon, breast cancer, ovarian, and central nervous system, respectively, which overcome most of the state-of-the-art methods and also dominance on the baseline ensemble method with 12% enhancement. [ABSTRACT FROM AUTHOR]

Substance P is an undecapeptide affecting the gastrointestinal, cardiovascular, and urinary systems. In the central nervous system, substance P participates in the regulation of pain, learning, memory, and sexual homeostasis. In addition to these effects, previous papers provided solid evidence that substance P exhibits regulatory effects on growth. Indeed, our previous study revealed that growth hormone-releasing hormone (GHRH) neurons appear to be densely innervated by substance P fibers in humans. Since growth hormone secretion is regulated by the antagonistic actions of both GHRH and somatostatin, in the present paper we have examined the possibility that SP may also affect growth via the somatostatinergic system. Therefore, we have studied the putative presence of juxtapositions between the substance P-immunoreactive (IR) and somatostatinergic systems utilizing double label immunohistochemistry combined with high magnification light microscopy with oil immersion objective. In the present study, we have revealed a dense network of substance P-IR axonal varicosities contacting the majority of somatostatin-IR neurons in the human hypothalamus. Somatostatinergic perikarya are often covered by these fiber varicosities that frequently form basket-like encasements with multiple en passant type contacts, particularly in the infundibular nucleus/median eminence and in the basal periventricular area of the tuberal region. In addition, numerous substance-P-somatostatinergic juxtapositions can be found in the basal perifornical zone of the tuberal area. If these contacts are indeed functional synapses, they may represent the morphological substrate of the control of substance P on growth. Indeed, the frequency and density of these juxtapositions indicate that in addition to the regulatory action of substance P on GHRH secretion, substance P also influences growth by regulating hypothalamic somatostatinergic system via direct synaptic contacts. [ABSTRACT FROM AUTHOR]

This paper investigates externalities generated by air transportation pollution on health. As a source of exogenous variation, we use an unannounced 5-month trial that reallocated early morning aircraft landings at London Heathrow Airport. Our measure of health is prescribed medications spending on conditions known to be aggravated by pollution, especially sleep disturbances. We observe a significant and substantial decrease in prescribed drugs for respiratory and central nervous system disorders in the areas subjected to reduced air travel between 4:30 am and 6.00 am compared with the control regions. Our findings suggest a causal influence of aviation on health conditions. [ABSTRACT FROM AUTHOR]

The use of magnetic resonance imaging (MRI) in the evaluation of the central extracranial nervous system, namely the brachial and lumbosacral plexuses, is well established and has been performed for many years. Only recently after numerous advances in MRI, has image quality been sufficient to properly visualize small structures, such as nerves in the extremities. Despite the advances, peripheral MR Neurography remains a complex and difficult examination to perform, especially in the pediatric patient population, in which the risk for motion artifact and compliance is always of concern. Thus, technical aspects of the MR imaging protocol must be flexible but robust, to balance image quality with scan time, in a patient population of varying sizes. An additional important step for reliably performing a successful MR Neurography examination is the non-technical pre-imaging preparation, which includes patient/family education and open communication with referring teams. This paper will discuss in detail the individual technical and non-technical/operational aspects of peripheral MR Neurography, to help guide in building a successful program in the pediatric population. [ABSTRACT FROM AUTHOR]

Hydrocephalus is a generally known disease found in the central nervous system and requires neurosurgical treatment. However, there is no prevalent solution and effective method for precise detection. This paper introduces Hydrocephalus detection based on the deep learning model which undergoes the stages like pre-processing, segmentation, feature extraction, and classification. Colour based transformation technique is used for better processing of input tested images. Then, these pre-processed images are segmented by mean shift clustering which is used to segment the image and to provide a reliable and accurate estimated value. Then the features are extracted using Complete Local Binary Pattern (CLBP). Finally, the classification uses Deep Convolutional Neural Network with Emperor Penguin Optimization (DCNN-EPO) for improving the system efficiency. The implementation of the developed scheme is implemented in PYTHON 3.7. At last, the performance of the developed scheme and the existing techniques are compared. The developed model achieves an accuracy of about 99.1%, sensitivity of about 98.5% and precision value of about 98.2% respectively. In addition, the average training and validation accuracy of the system is found to be 84.75% and 87.25% and the overall classification time of the developed model is 20.67 s only. Thus the proposed model proves its superiority against other models. [ABSTRACT FROM AUTHOR]

Purpose of Review: The objective of this paper is to review the main paediatric populations at risk for IFI-CNS and the most frequent agents involved, focusing in the clinical/radiological and diagnostic features, as well as the recommended treatment. Recent Findings: With new and improved diagnostic techniques, reports on CNS fungal infections in paediatricpatients have increased not only in those with recently discovered congenital immune defects but in immunocompetent childrenas well. Information regarding clinical and imaging findings has expanded to shed light on previously ignored diagnoses. Summary: Apart from well-described and devastating IFI caused by Candida spp. and Aspergillus spp., other fungal agents are gaining importance not only in immunocompromised patients, but also in children with no identified risk factors, apart from environmental exposure. [ABSTRACT FROM AUTHOR]

Parkinson's disease (PD) is a chronic, progressive and second most prevalent neurological disorder affecting the motor system. Cardinal motor impairment and α-synucleinopathy are the characteristic features of PD. Recently, it has been identified that the gut-brain axis is substantially regulated by the gut microbiome (GM) through an immunological, neuroendocrine, and neural mechanism. However, disturbance in the gut-microbiome-brain axis in PD might proceed to gastrointestinal manifestations intermittently leading to the motor system and the PD pathogenesis itself. The gut microbial toxins may induce the production of α-synuclein (α-syn) aggregates in the enteric nervous system (ENS), which may proliferate and propagate in a prion-like-manner through the vagus nerve to the central nervous system (CNS); supporting the hypothesis that, GM might play a pivotal role in PD pathogenesis. Overstimulated innate immune system due to intestinal bacterial overgrowth or gut dysbiosis and the enhanced intestinal permeability may persuade systemic inflammation, while the activation of enteric glial cells and enteric neurons may contribute to α-synucleinopathy. Gut microbiota can bear a significant impact on neurological outcomes such as learning, memory and cognition. In this review paper, we summarize how the alterations in gut microbiota and ENS inflammation are associated with PD pathogenesis. The evidence supporting the causative role played by gut-associated dysbiosis and microbial byproducts, in the onset of PD is also discussed. We have highlighted the landmark discoveries in the field of PD particularly focusing on the gut-brain axis. A better comprehension of the interaction between the gut-brain axis, gut microbiota, and PD can usher in novel therapeutic and diagnostic approaches. [ABSTRACT FROM AUTHOR]

Electrocorticogram registration and analysis (electrocorticography, ECoG) is widely used in small-animal biomedical research. To date, a considerable number of techniques for ECoG electrode manufacture and implantation have been proposed. Many commercial manufacturers of neurophysiological equipment offer a wide variety of such electrodes, ranging from the simple needle or concentric ones to flexible microelectrode arrays. However, due to several reasons, neurophysiological methods (including ECoG) are much more rarely used in practical research than, for example, behavioural testing or molecular genetics. In this paper, we propose a simple and straightforward method for rat ECoG electrode assembly and implantation. Brain electrical activity registration in laboratory animals can be used to evaluate the functional state of the central nervous system, the effects of pharmacological interventions, and sensory system function by recording visual and somatosensory evoked potentials. The method we propose can be employed in neuropharmacological as well as neurophysiological experiments and may prove a valuable addition to the more conventional biomedical research techniques. [ABSTRACT FROM AUTHOR]

Down syndrome (DS), or trisomy 21, is the leading genetic cause of intellectual incapacity worldwide, with a reported incidence of about 1 in 1,000 to 1 in 1,100 live births. Besides the several commonly known physical features characteristic of this syndrome present at birth, DS may additionally affect every organ system. In addition, despite the large number of published papers concerning this syndrome, there is scarce literature focusing specifically in the typical neuroimaging features associated with this condition. The aim of this paper is to review and systematize the distinctive characteristics and abnormalities of the central nervous system, head and neck, and spine present in DS patients that should actively be searched for and evaluated by radiologists and/or neuroradiologists. [ABSTRACT FROM AUTHOR]

Nerve cells like neurons and astrocytes in central nervous system (CNS) take part in the signaling process which means the transformation of the information from one cell to another via signals. The signaling process is affected by various external parameters like buffers calcium-binding proteins, voltage-gated calcium channel. In the present paper, the role of buffers in the cytoplasmic calcium concentration distribution is shown. The elicitation in calcium concentration is due to the presence of lower amount calcium-binding proteins which can be shown graphically. The mathematical model is designed by keeping in mind the physiological condition taking place in CNS of mammalian brain. The thing to be noted here is that the more elicitation in the calcium concentration distribution results in the cell death which finally give neurodegenerative disease to the mammalian brain. The present paper gives a glimpse of Parkinson’s diseases in particular. Computational results are performed in Wolfram Mathematica 9.0 and simulated on core(TM) i5-3210M CPU @ 2.50 GHz processing speed and 4 GB memory. It is found that the different types of buffer like ethylene glycol-bis(β-aminoethyl ether)-N,N,N′,N′-tetraacetic acid, 1,2-bis(o-aminophenoxy)ethane-N,N,N′,N′-tetraacetic acid and calmodulin have noteworthy effect at different fractions of time. [ABSTRACT FROM AUTHOR]

Neuroscientists are able to detect physical changes in information entropy in the available neurodata. However, the information paradigm is inadequate to describe fully nervous dynamics and mental activities such as perception. This paper suggests explanations to neural dynamics that provide an alternative to thermodynamic and information accounts. We recall the Banach–Tarski paradox (BTP), which informally states that when pieces of a ball are moved and rotated without changing their shape, a synergy between two balls of the same volume is achieved instead of the original one. We show how and why BTP might display this physical and biological synergy meaningfully, making it possible to model nervous activities. The anatomical and functional structure of the central nervous system's nodes and edges makes it possible to perform a sequence of moves inside the connectome that doubles the amount of available cortical oscillations. In particular, a BTP-based mechanism permits scale-invariant nervous oscillations to amplify and propagate towards widely separated brain areas. Paraphrasing the BTP's definition, we could state that: when a few components of a self-similar nervous oscillation are moved and rotated throughout the cortical connectome, two self-similar oscillations are achieved instead of the original one. Furthermore, based on topological structures, we illustrate how, counterintuitively, the amplification of scale-free oscillations does not require information transfer. [ABSTRACT FROM AUTHOR]

The presence of blood–brain barrier (BBB) is a major obstacle to effectively deliver therapeutics to the central nervous system (CNS); hence, the outcomes following treatment of CNS diseases remain unsatisfactory. Fortunately, electromagnetic pulses (EMPs) provide a non-invasive method to locally open the BBB. To obtain the optimal pulse parameters of EMP-induced BBB opening to ensure the effective delivery of CNS drugs, it is particularly important to measure and assess the effects of pulse parameters on the temperature distribution in the human head exposed to EMPs. In this paper, the specific anthropomorphic mannequin phantom was adopted and the temperature increase in the human head induced by EMPs of different parameters was estimated in the software "COMSOL Multiphysics". The results show that the temperature distribution profiles with different EMP parameters have almost similar characteristics, the highest temperature increase values in the human head are positively correlated with variations of EMP parameters, and potential hazards to the human head may occur when EMP parameters exceed the safety threshold, which will provide theoretical basis for seeking the optimal EMP parameters to open the BBB to the greatest extent within a safe range. [ABSTRACT FROM AUTHOR]

Since the COVID-19 pandemic started in December 2019, there have been several reports of patients succumbing to neurological complications. Early reports were suggestive of a possibility, while by early 2020 it was clearly evident that although SARS-CoV-2 primarily attacks the respiratory system, the brain is one of the most affected organs post-recovery. Although it may be premature to comment on the long-term effects of COVID-19 in brain, some reliable predictions can be made based on the data currently available. Further, exploring the CNS connections of SARS-CoV-2 is of keen interest for neuroscience researchers. As soon as the virus enters the nasal region, it is exposed to the olfactory nervous system which is interlinked with the visual system, and hence we explore the mechanism of entry of this virus into CNS, including brain, olfactory and retinal nervous systems. In this review, we have thoroughly reviewed reports about both SARS-CoV-1 and SARS-CoV-2 with respect to their ability to breach the blood-brain and blood-retinal barriers. We have compiled different neurological conditions resulting from COVID-19 and looked into viral infections related to COVID-19 to understand how the virus may gain control of the olfactory and visual systems. Once the dust settles on the pandemic, it would be interesting to explore the extent of viral infection in the CNS. The long-term effects of this virus in the CNS are not yet known, and several scientific research papers evolving in this field will throw light on the same. [ABSTRACT FROM AUTHOR]