The brain-computer interface (BCI) is not merely an advanced technology but also represents a profound revolution spanning neuroscience, artificial intelligence, computer science, philosophy, and sociology. The core value of BCI lies in its ability to break through the informational barriers between the brain and the external world, endowing humans with novel capabilities for information interaction and propelling the evolution of an intelligent society. As a disruptive technological innovation, BCI fundamentally alters the way humans interact with the world, and its applications will profoundly influence our understanding of cognition, consciousness, and even self-existence. For neurosurgery, BCI is not only a revolutionary therapeutic tool but also an opportunity to reshape traditional medical paradigms. From repairing neural damage to modulating brain functions, from enhancing human intelligence to shaping the future of human-machine integration, BCI offers unprecedented possibilities for neurosurgery. The development of this technology not only aids in a deeper understanding of brain functions but also provides robust support for future intelligent healthcare. The impact of BCI extends far beyond medicine, influencing the transformation of future computing paradigms, the proliferation of intelligence augmentation, the scrutiny of social ethics, the deployment of national strategies, the dynamics of economic development, and the safeguarding of national security.

Cerebral small vessel disease is a series of complex and heterogeneous cerebrovascular syndromes caused by various etiological factors that affect small vessels in the brain. Due to a lack of typical symptoms， the diagnosis of cerebral small vessel disease relies mainly on magnetic resonance imaging， and the neuroimaging findings can include recent small subcortical infarcts， lacunes of presumed vascular origin， white matter hyperintensities of presumed vascular origin， perivascular spaces， cerebral microbleeds， cortical superficial siderosis， and brain atrophy. Currently， the pathogenic mechanism of cerebral small vessel disease remains unclear， and specific treatment is also lacking. Given its similarities with stroke in risk factors and histopathological characteristics， stroke prevention and treatment approaches， such as antihypertensive and antiplatelet therapies， can be applied to the treatment of cerebral small vessel disease. However， due to the differences between the two conditions， stroke treatments cannot be fully suitable for cerebral small vessel disease， and an individualized comprehensive assessment is needed. This review presents the management of cerebral small vessel disease and stroke， highlighting their similarities and differences.
Stroke

Protein palmitoylation, a prevalent and dynamic form of S-acylation modification, plays a critical role in maintaining the functionality of the nervous system. This reversible process involves the attachment of palmitic acid to cysteine residues in proteins, anchoring them to cellular membranes and regulating their spatial distribution. The functioning of palmitoylation is crucial for normal neuronal activities, influencing key processes such as signal transduction, synaptic function, and protein trafficking. Recent research has increasingly underscored the significance of specific zinc finger Asp-His-His-Cys motif-containing (ZDHHC) S-acyltransferases in neuronal development and synaptic plasticity. These enzymes, which catalyze the palmitoylation of proteins, have emerged as pivotal regulators of brain function. Dysregulation of palmitoylation by these enzymes is now recognized as a potential contributor to the pathogenesis of various neurodegenerative diseases. This review provides an in-depth analysis of the expression patterns and functional diversity of ZDHHC enzymes across different brain regions and cell types. ZDHHC enzymes exhibit significant sequence variability and demonstrate region-specific and cell type-dependent expression. Such heterogeneity suggests that these enzymes may have specialized roles in different areas of the nervous system, making them crucial modulators of neuronal function and synaptic transmission. The review also explores the regulatory mechanisms of protein palmitoylation and their implications in neurodegenerative disease onset and progression. Altered palmitoylation can lead to the destabilization and subsequent aggregation of these proteins, exacerbating neurodegenerative processes. Abnormal palmitoylation of α‑synuclein can either promote or inhibit its aggregation in Parkinson’s disease pathology. Proteins related to these key pathological factors, including amyloid precursor protein (APP) and beta-secretase 1 (BACE1), are also influenced by palmitoylation, contributing to the formation of amyloid plaques through the aggregation of Aβ. Additionally, ZDHHC13 and ZDHHC17, which are abundantly and widely expressed in the brain, play crucial roles in this process. For instance, reduced interaction between ZDHHC17 and huntingtin could significantly contribute to the pathogenesis of Huntington’s disease. Thus, modulating the palmitoylation status of these proteins presents a promising therapeutic strategy to prevent their toxic aggregation and mitigate neuronal damage. Actually, regulating palmitoylation has shown potential for therapeutic interventions in neurodegenerative diseases, with studies demonstrating that modulation of palmitoylation can restore neuronal function and improve disease symptoms. Regulating palmitoylation holds significant promise for therapeutic strategies in neurodegenerative diseases, as modulation of this process can restore neuronal function and ameliorate disease symptoms. However, progress is hindered by the lack of high-resolution structural data and comprehensive targeting maps for specific ZDHHC enzymes. Additionally, current detection methods for palmitoylation, which focus on labeling and analyzing palmitic acid and cysteine residues, are often complex and time-consuming, and may produce inconsistent palmitoyl-proteomic profiles. These methodological challenges underscore the need for more robust and efficient detection technologies. A deeper understanding of palmitoylation’s role in neurological diseases, coupled with the development of improved detection methods, is essential for advancing our knowledge of the molecular underpinnings of these conditions and for the creation of innovative therapeutic strategies aimed at combating neurodegenerative diseases.

Objective Cognitive impairment(CI)in older individuals has a high morbidity rate worldwide,with poor diagnostic methods and susceptible population identification.This study aimed to investigate the relationship between different retinal metrics and CI in a particular population,emphasizing polyvascular status. Methods We collected information from the Asymptomatic Polyvascular Abnormalities Community Study on retinal vessel calibers,retinal nerve fiber layer(RNFL)thickness,and cognitive function of 3,785 participants,aged 40 years or older.Logistic regression was used to analyze the relationship between retinal metrics and cognitive function.Subgroups stratified by different vascular statuses were also analyzed. Results RNFL thickness was significantly thinner in the CI group(odds ratio:0.973,95%confidence interval:0.953-0.994).In the subgroup analysis,the difference still existed in the non-intracranial arterial stenosis,non-extracranial carotid arterial stenosis,and peripheral arterial disease subgroups(P<0.05). Conclusion A thin RNFL is associated with CI,especially in people with non-large vessel stenosis.The underlying small vessel change in RNFL and CI should be investigated in the future.

OBJECTIVE: This study aimed to examine the trends in stroke mortality among young and middle-aged adults in China. METHODS: Data were obtained from the China national vital registration system. Significant changes in mortality were assessed by Joinpoint regression. Age-period-cohort analysis was used to explain the reasons for the changes. Future mortality and counts were predicted by the Bayesian age-period-cohort model. RESULTS: Between 2002 and 2019, a total of 6,253,951 stroke mortality in young and middle-aged adults were recorded. The age-adjusted mortality rates (AAMRs) of women showed a downward trend. The annual percent changes (APC) were -3.5% (-5.2%, -1.7%) for urban women and -2.8% (-3.7%, -1.9%) for rural women. By contrast, the AAMRs per 100,000 for rural men aged 25-44 years continued to rise from 9.40 to 15.46. The AAMRS for urban men aged 25-44 years and urban and rural men aged 45-64 years did not change significantly. Between 2020 and 2030, the projected stroke deaths are 1,423,584 in men and 401,712 in women. CONCLUSION Significant sex and age disparities in the trends of stroke mortality among young and middle-aged adults were identified in China. Targeted health policy measures are needed to address the burden of stroke in the young generation, especially for rural men, with a focus on the prevention and management of high risk factors.
Middle Aged ; Male ; Adult ; Humans ; Female ; Bayes Theorem ; Urban Population ; Stroke/epidemiology* ; Cohort Studies ; China/epidemiology* ; Mortality

Objective: To compare the differences in clinical symptoms and the time required for diagnosis of benign paroxysmal positional vertigo (BPPV) between older patients and young and middle-aged patients in the structured inquiry of dizziness history. Methods: The medical records of 6 807 patients diagnosed with BPPV from the Vertigo Database of Vertigo Clinical Diagnosis, Treatment, and Research Center of Beijing Tiantan Hospital, Capital Medical University, between January 2019 and October 2021 were retrospectively analyzed. The data included basic demographic information, clinical symptoms in a structured medical history questionnaire, and the time interval from the appearance of BPPV symptoms to diagnosis consultation. The patients were divided into the young and middle-aged group (<65 years old) and the older group (≥65 years old). The differences in clinical symptoms and consultation time were compared between these two groups. Categorical variables were represented by numbers (%), and compared using Chi-squared tests or Fisher's exact probability test for analysis; whereas, continuous variables conforming to normal distribution were represented by mean±standard deviation. Both data groups were compared and analyzed by Student's t-test. Results: The mean age of the older group was 65-92 (71±5) years, while the mean age of the middle-aged group was 18-64 (49±12) years. The incidence of vertigo (42.5% vs. 49.1%, χ²=23.69, P<0.001); vertigo triggered by changes in position of the head or body (52.4% vs. 58.7%, χ²=22.31, P<0.001); and autonomic symptoms (10.1% vs. 12.4%, χ²=7.09, P=0.008) were lower, but hearing loss (11.8% vs. 7.8%, χ²=27.36, P<0.001) and sleep disorders (18.5% vs. 15.2%, χ²=11.13, P=0.001) were higher in the older group than in the young and middle-aged group. The time from the appearance of dizziness to diagnosis was commonly longer in the older patient group than the other group (55.0% vs. 38.5%, χ²=55.95, P<0.001). Conclusions: Older patients with BPPV have more atypical symptoms and complex concomitant symptoms than young and middle-aged patients. For older patients with dizziness, positional testing is needed to confirm the possibility of BPPV even if the clinical symptoms are atypical.
Middle Aged ; Humans ; Aged ; Aged, 80 and over ; Adolescent ; Young Adult ; Adult ; Benign Paroxysmal Positional Vertigo/therapy* ; Dizziness/diagnosis* ; Retrospective Studies ; Patients ; Surveys and Questionnaires

Mendelian Randomization Analysis ; Bone Density ; Genome-Wide Association Study ; Minerals ; Life Expectancy ; Polymorphism, Single Nucleotide

With the rapid development of healthcare big data and artificial intelligence technology, how to utilize the massive medical data generated based on clinical diagnosis and treatment has become an important issue to be solved in the field of clinical research. Clinical diagnosis and treatment data is an essential part of healthcare big data, and also the main field of healthcare big data research. With the continuous deepening and extensive development of informatization, hospitals have accumulated a large number of patient-centered clinical diagnosis and treatment data. Deeply mining and analyzing these data through big data technology can provide reference for precise diagnosis and treatment, and standardized prevention and control of diseases. However, conducting relevant research still faces many difficulties and blockages, such as the increased risk of data leakage or abuse, and the difficulty in implementing informed consent. To safely, legally and efficiently utilize clinical diagnosis and treatment data to conduct clinical research and fully tap into the value of these precious medical resources, a tertiary hospital in Beijing has built a research big data platform and developed relevant systems to effectively solve the problems of blockages and difficulties in the application of rich clinical resources to clinical research, and improve the service quality of medical institutions and the conversion rate of scientific research achievements. By introducing the key points and management methods in the implementation of clinical research based on the scientific research big data platform, analyzing and exploring the existing problems and improvement measures, this paper aimed to provide theoretical basis and system reference for high-quality and efficient health and medical big data clinical research, inspire and promote the continuous improvement of medical research management, and promote the development of medical and health science and technology innovation.

INTRODUCTION: This study aimed to elucidate the cognitive profile of patients with mild cognitive impairment with Lewy bodies (MCI-LB) and to compare it to that of patients with mild cognitive impairment due to Alzheimer's disease (MCI-AD). METHODS: Subjects older than 60 years with probable MCI-LB (n = 60) or MCI-AD (n = 60) were recruited. All patients were tested with Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) to assess their global cognitive profile. RESULTS: The MCI-AD and MCI-LB patients did not differ in total MMSE and MoCA scores. However, some sub-items in MMSE and MoCA were shown to be screening markers for differentiating MCI-LB from MCI-AD. In the visuoconstructive test, the total score and hands subitem score in the clock-drawing test were significantly lower in MCI-LB than in MCI-AD. As for the executive function, the 'animal fluency test', 'repeat digits backward test' and 'take paper by your right hand' in MMSE all showed lower scores in MCI-LB compared with MCI-AD. As for memory, 'velvet' and 'church' in MoCA and 'ball' and 'national flag' in MMSE had lower scores in MCI-AD than in MCI-LB. CONCLUSION This study presents the cognitive profile of patients with MCI-LB. In line with the literature on Dementia with Lewy bodies, our results showed lower performance on tests for visuoconstructive and executive function, whereas memory remained relatively spared in the early period.
Humans ; Cognitive Dysfunction ; Alzheimer Disease/diagnosis* ; Neuropsychological Tests ; Cognition