Neurological Health Research Articles

Deep learning-assisted non-invasive pediatric tic disorder diagnosis using EEG features extracted by residual neural networks

Early diagnosis of pediatric tic disorders (TD) is crucial for effective therapeutic intervention and management, which can significantly improve neurological development and psychological well-being from childhood through adulthood. However, current pediatric TD diagnostic methodologies suffer from low specificity and sensitivity, as they rely primarily on the subjective expertise of clinicians. Herein, we demonstrated a non-invasive approach for deep learning-assisted diagnosis of pediatric TD. A residual neural network model was developed to predict TD using electroencephalogram (EEG) signals. The optimized model analyzed preprocessed EEG data to generate diagnostic reports indicating the probability of TD occurrence, thus providing deep learning-assisted support for clinical decisions. The clinical features of EEG signals in pediatric TD are elucidated through extensive analysis. Predictive accuracy of EEG decreases over time, with short-term EEG indicating that right hemisphere EEG activity is a predominant clinical feature of TD. A computer-based application was developed and implemented to calculate the probability of TD based on individual EEG patterns, thereby assisting clinicians with diagnostic decision-making in real-world scenarios. This work not only proposes a non-invasive and accurate approach for TD diagnosis but also contributes to the early intervention and long-term management of neurological and psychological health in affected individuals.

Cerebral white matter myelination is associated with longitudinal changes in processing speed across the adult lifespan

Abstract Myelin's role in processing speed is pivotal, as it facilitates efficient neural conduction. Its decline could significantly affect cognitive efficiency during aging. In this work, myelin content was quantified using our advanced MRI method of myelin water fraction (MWF) mapping. We examined the relationship between MWF at the time of MRI and retrospective longitudinal change in processing speed among 121 cognitively unimpaired participants, aged 22 to 94 years, from the Baltimore Longitudinal Study of Aging and the Genetic and Epigenetic Signatures of Translational Aging Laboratory Testing (mean follow-up duration of 4.3 ± 6.3 years) using linear mixed-effects models, adjusting for demographics. We found that higher MWF values correlated with longitudinally better-maintained processing speed, with particularly significant associations in several white matter regions. Detailed voxel-wise analysis provided further insight into the specific white matter tracts involved. This research underscores the essential role of myelin in preserving processing speed and highlights its potential as a sensitive biomarker for interventions targeting age-related cognitive decline, thereby offering a foundation for preventative strategies in neurological health.

Biomarkers Unveiling the Interplay of Mind, Nervous System, and Immunity.

The field of psychoneuroimmunology has significantly expanded in the last few decades and so has our understanding of the bidirectional communications between the immune and central nervous systems (CNS). There is a preponderance of evidence supporting the fact that immunological pathways and neuroinflammation are involved in the pathophysiology of multiple neurological and mental health conditions. In this chapter, we have explored various neuroimmunological biomarkers involved in these pathways, responsible for developing and perpetuating different neuropsychiatric disorders. This chapter will examine inflammatory biomarkers and those associated with intestinal homeostasis, blood-brain barrier (BBB) permeability, glial cells, and neuronal injury. A range of tests has been developed to evaluate these markers, and we will also explore the existing methods currently employed for these techniques. Further studies of these inflammatory and neurological markers are needed to support their utility as biomarkers for diagnosis and prognosis and to inform treatment strategies for various neuropsychiatric disorders.

Investigation of the Effects of Biotinidase Deficiency on Plasma Cholinesterase Activity

Purpose: Biotinidase deficiency (BD) is a rare autosomal recessive metabolic disorder that impairs the body's ability to recycle biotin, a crucial coenzyme for carboxylase enzymes involved in various metabolic processes. This study aims to evaluate the effects of biotinidase deficiency on cholinesterase activity in plasma, hypothesizing that the metabolic disruptions caused by inadequate biotin recycling may lead to alterations in cholinesterase function. Materials and methods: Plasma samples were collected from 73 individuals categorized into four genetic groups: wild type (n = 12), heterozygous (n = 30), homozygous (n = 19), and compound heterozygous (n = 12). Cholinesterase activity was measured using a colorimetric method. Results: The study discovered that the cholinesterase activity of the Heterozygous group was higher than the homozygous group (p = 0.0356). Additionally, cholinesterase activity was significantly lower in homozygous and compound heterozygous people than in wild and heterozygous groups (p = 0.0272). The statistically significant changes suggested a relationship between biotinidase deficiency and altered cholinergic activity. Conclusion: The findings indicate that biotinidase deficiency, particularly in its severe variants, may cause considerable reductions in cholinesterase activity, contributing to the neurological symptoms found in affected patients. More studies are needed to investigate the processes behind this association and develop strategies for reducing the effects of BD on cholinesterase activity and neurological health.

Zinc and its binding proteins: essential roles and therapeutic potential.

Zinc is an essential micronutrient that participates in a multitude of cellular and biochemical processes. It is indispensable for normal growth and the maintenance of physiological functions. As one of the most significant trace elements in the body, zinc fulfills three primary biological roles: catalytic, structural, and regulatory. It serves as a cofactor in over 300 enzymes, and more than 3000 proteins require zinc, underscoring its crucial role in numerous physiological processes such as cell division and growth, immune function, tissue maintenance, as well as synthesis protein and collagen synthesis. Zinc deficiency has been linked to increased oxidative stress and inflammation, which may contribute to the pathogenesis of a multitude of diseases, like neurological disorders and cancer. In addition, zinc is a key constituent of zinc-binding proteins, which play a pivotal role in maintaining cellular zinc homeostasis. This review aims to update and expand upon the understanding of zinc biology, highlighting the fundamental roles of zinc in biological processes and the health implications of zinc deficiency. This work also explores the diverse functions of zinc in immune regulation, cellular growth, and neurological health, emphasizing the need for further research to fully elucidate the therapeutic potential of zinc supplementation in disease prevention and management.

COVID-19 and Its Potential Impact on Children Born to Mothers Infected During Pregnancy: A Comprehensive Review.

Pregnancy is a vulnerable period of time during which pregnant people are prone to infections like COVID-19, which can increase risks for both the mother and fetus. These infections may lead to complications such as preterm birth, developmental delays, and congenital abnormalities. While COVID-19 poses additional risks like placental dysfunction and neonatal infections, studies on long-term effects remain limited. Ongoing research and monitoring are essential to understand and mitigate potential cognitive and developmental challenges in children born to mothers infected with COVID-19. This review aims to guide clinicians in managing these risks throughout childhood. Maternal COVID-19 infection during pregnancy can have significant implications for fetal development, even if the newborn is not infected at birth. The release of inflammatory cytokines may cross the placental barrier, potentially disrupting fetal brain development and increasing the risk of long-term cognitive and behavioral issues, such as ADHD or autism. Placental dysfunction, caused by inflammation or thrombosis, can lead to intrauterine growth restriction (IUGR), preterm birth, or hypoxia, affecting both neurological and respiratory health in newborns. Furthermore, a compromised fetal immune system can increase susceptibility to autoimmune conditions and infections. The early diagnosis and management of infections during pregnancy are crucial in mitigating risks to both the mother and fetus. Swift intervention can prevent complications like preterm birth and long-term developmental challenges, ensuring better health outcomes for both the mother and child. Long-term monitoring of children born to mothers infected with COVID-19 is necessary to understand the full extent of the virus's impact. This review evaluates the long-term systemic effects of maternal COVID-19 infection during pregnancy on fetuses, newborns, and children, focusing beyond vertical transmission. It highlights the broader impacts on fetal development, offering insights to help clinicians manage potential issues that may arise later in life.

Large sample size MRI measurements to assess the relation between cardiac function and structure and white matter hyperintensity volumes

Abstract Background People with established cardiovascular disease (CVD) are at risk of early cognitive decline, and neurological diseases such as dementia. CVD and neurological diseases share common risk factors, such as blood pressure, sedentary lifestyle, as well as genomic risk factors such as mutations in APOE4 [1]. It's unclear to what extent the co-occurrence of CVD and neurological diseases is explained by these risk factors, or whether there is a direct association where CVD is a first step towards poorer neurological health. White matter hyperintensities (WMH) of presumed vascular origin are damaged areas in the brain observed through magnetic resonance imaging (MRI). These lesions are associated with progressive neurological disease such as vascular dementia, as well with risk factors for CVD [2]. Purpose We set out to determine to what extent CMR measurements associated with WMH independent of known cerebrovascular risk factors. Methods Cardiac and brain MRI images were analysed for 23,963 UK biobank (UKB) participants. WMH analysis included 5 brain regions (Frontal[F], Parietal[P], Temporal[T], Occipital[O], Basal Ganglia and Thalami [BGT]) and total brain WMH volume. Cardiac traits included stroke volumes, atrial volumes, ejection fractions of right and left chambers, left ventricular (LV) strain, LV wall thickness and aortic areas. Multivariable regression analysis was carried out, where each cardiac trait was regressed on each brain region and adjusted for: age, difference between age at initial visit and imaging visit, sex, systolic and diastolic blood pressure, Hba1c, household income, educational status, Townsend score and family history of disease (Alzheimer’s, Parkinson's, high blood pressure, stroke, heart disease) . Results were evaluated against a multiple testing correct p-value threshold of 0.05, reflecting the number of principle components(n=10) necessary to explain 90% of the cardiac trait variability. Results For 5 cardiac traits (right ventricular stroke volume, left atrial stroke volume, left ventricular stroke volume, left ventricular ejection fraction and right ventricular end diastolic volume) higher values were associated with lower WMH volumes in all brain regions. Additionally, some cardiac traits such as LV cardiac output associated with specific brain regions (T, O, BGT). Additionally, APOE- ε4 stratified analyses indicated, homozygous carriers show a greater association between higher minimum LA and RA volumes and higher WMH volumes in the occipital lobe. Conclusions This study gives an insight into the WMH burden in a large population of adults. It highlights the associations of cardiac traits with white matter hyperintensity volumes in different brain regions independent of known risk factors. Using cardiac traits as surrogate markers of different cardiac disease could explain how cardiac functionality defines WMH volume distribution and subsequently the wider relationship between CVD and cerebrovascular disease.Figure 1Graphical Abstract

The Effects of Environmental Factors on General Human Health: A Scoping Review.

Background/Objectives: The external environment constantly influences human health through many factors, including air quality, access to green spaces, exposure to pollutants, and climate change. Contamination poses a substantial threat to human well-being; conversely, environmental factors also positively impact health. The purpose of this study is to provide a comprehensive review of the complex relationship between various environmental factors and human health. While individual studies have explored specific aspects, a broader integrative understanding is lacking. Methods: Through databases (PubMed, Cochrane, Copernicus), 4888 papers were identified, with 166 selected for detailed analysis. Results: We summarized recent research, identifying multiple associations between environmental factors such as air pollution, climate change, solar radiation, and meteorological conditions and their impact on various health outcomes, including respiratory, cardiovascular, metabolic and gastrointestinal, renal and urogenital, neurological and psychological health, infectious and skin diseases, and major cancers. We use chord diagrams to illustrate these links. We also show the interaction between different environmental factors. Findings begin with exploring the direct impact of environmental factors on human health; then, the interplay and combined effects of environmental factors, elucidating their (often indirect) interaction and collective contribution to human health; and finally, the implications of climate change on human health. Conclusions: Researchers and policymakers need to consider that individuals are exposed to multiple pollutants simultaneously, the "multipollutant exposure phenomenon". It is important to study and regulate environmental factors by considering the combined impact of various pollutants rather than looking at each pollutant separately. We emphasize actionable recommendations and solutions.

Vitamin D and Neurological Health: Unraveling Risk Factors, Disease Progression, and Treatment Potential.

This study explores the complex link between vitamin D and neurological illnesses, focusing on how vitamin D affects possible risk factors, therapeutic applications, and the trajectory of the disease. An epidemiological study has linked vitamin D insufficiency to several neurological conditions, including Parkinson's disease, Alzheimer's disease, and multiple sclerosis. It is hypothesized that immunomodulatory and anti-inflammatory properties of vitamin D contribute to its neuroprotective effects. Two major mechanisms in dementia include neuroinflammation and oxidative stress. Adequate levels of vitamin D have been shown in both animal models and human studies to enhance both clinical outcomes and the duration of illness in those who have it. Other ways that vitamin D contributes to its therapeutic potential include the production of neurotrophic factors, control over neurotransmitter synthesis, and preservation of the blood-brain barrier. Despite the encouraging outcomes, research is still being conducted to determine the optimal dosage and long-term benefits of vitamin D supplementation on brain function. In order to furnish precise directives and clarify the processes behind the neuroprotective impacts of vitamin D, future research must focus on large-scale randomized controlled studies. . This study highlights the significance of maintaining adequate levels of vitamin D as a modifiable risk factor for neurological disorders. Further study is also required to comprehend the possible medical benefits of this vitamin fully.

Association between small intestine bacterial overgrowth and psychiatric disorders.

Small intestinal bacterial overgrowth (SIBO) is a gastrointestinal condition characterized by abnormal colonization of bacteria in the small intestine, leading to overgrowth and alteration, which is linked to gastrointestinal issues, potentially affecting neurological and mental health. Despite existing research, we still do not understand how SIBO affects tryptophan metabolism and psychiatric diseases. We investigated the literature for connections between SIBO, tryptophan metabolism disruptions, and psychiatric disorders like autism, schizophrenia, Alzheimer's, and Parkinson's diseases. We also explored the interaction between thyroid disorders and their influence on SIBO and psychiatric illnesses. PubMed and Google Scholar databases were searched using keywords and phrases, individual and in combinations, like "SIBO," "gut microbiota," "neurologic disorders," "mental disorders," "tryptophan," "dopamine," and "thyroid disease." We focused on original research and review papers that presented empirical studies conducted on animal models and human subjects published in English between February 1992 to February 2023. The initial 2 634 534 records were preliminary screened based on title and abstract and then subjected to full-text review to exclude publications with insufficient data on SIBO, lack of a psychiatric disorder component, or methodological limitations compromising the integrity of the findings. The analysis highlights the significance of the association between psychiatric disorders and SIBO, emphasizing the role of gut-microbial diversity in mental health. We advocate for more detailed studies, including longitudinal research, to clarify the causal relationships between SIBO, gut dysbiosis, and psychiatric disorders and for an integrated approach while treating complex psychiatric conditions.

The role of genetically predicted serum iron levels on neurodegenerative and cardiovascular traits.

Iron is an essential mineral that supports numerous biological functions. Studies have reported associations between iron dysregulation and certain cardiovascular and neurodegenerative diseases, but the direction of influence is not clear. Our goal was to use computational approaches to better understand the role of genetically predicted iron levels on disease risk. We meta-analyzed genome-wide association study summary statistics for serum iron levels from two cohorts and two previous meta-analyses. We then obtained summary statistics from 11 neurodegenerative, cerebrovascular, cardiovascular or lipid traits to assess global and regional genetic correlation between iron levels and these traits. We used two-sample Mendelian randomization (MR) to estimate causal effects. Sex-stratified analyses were also carried out to identify effects potentially differing by sex. Overall, we identified three significant global correlations between iron levels and (i) coronary heart disease, (ii) triglycerides, and (iii) high-density lipoprotein (HDL) cholesterol levels. A total of 194 genomic regions had significant (after correction for multiple testing) local correlations between iron levels and the 11 tested traits. MR analysis revealed two potential causal relationships, between genetically predicted iron levels and (i) total cholesterol or (ii) non-HDL cholesterol. Sex-stratified analyses suggested a potential protective effect of iron levels on Parkinson's disease risk in females, but not in males. Our results will contribute to a better understanding of the genetic basis underlying iron in cardiovascular and neurological health in aging, and to the eventual identification of new preventive interventions or therapeutic avenues for diseases which affect women and men worldwide.

Zinc-modulated bidirectional copper transfer across the blood-brain barrier in a porcine brain capillary endothelial cell culture model system

The blood-brain barrier (BBB) serves as a crucial interface, regulating the transfer of trace elements (TEs) such as copper (Cu) and zinc (Zn) between the bloodstream and the brain. Cu and Zn are essential for maintaining neural function and enzymatic processes. Understanding the interplay of Cu and Zn with the BBB is crucial for elucidating their roles in neurological health and disease. This study investigates the bidirectional transfer of Cu across the BBB and examines the impact of Zn supplementation on this process using a porcine brain capillary endothelial cell (PBCEC) model. Transendothelial electrical resistance (TEER) and capacitance measurements confirmed barrier integrity upon TE exposure, while quantification of Cu and Zn concentrations via inductively coupled plasma-tandem mass spectrometry (ICP-MS/MS) in the culture medium provided essential baseline data. Transfer studies revealed significant increases in basolateral (brain side) Cu concentrations after apical (blood side) Cu incubation, with additional Zn supplementation reducing Cu transfer from apical to basolateral compartments. Conversely, Zn incubation showed no effect on basolateral-to-apical Cu transfer. Surprisingly, it was found that Cu also transferred significantly to the apical compartments when incubated basolaterally, and with slightly higher permeability coefficients than vice versa, indicating a potential role of PBCECs in regulating Cu transport both from blood to brain and from brain to blood. These findings suggest a bidirectional Cu trafficking across PBCECs, only slightly influenced unidirectionally by Zn supplementation, highlighting the intricate interplay between TEs at the BBB. Importantly, no alterations in barrier integrity were observed, underscoring the physiological relevance of the experimental conditions. Overall, this study sheds light on the complex dynamics of Cu and Zn transfer at the BBB, emphasizing the need for comprehensive investigations into TE interactions for a deeper understanding of brain TE homeostasis.

Comorbid health outcomes in patients with schizophrenia: an umbrella review of systematic reviews and meta-analyses.

There is no comprehensive umbrella review exploring the connection between schizophrenia and various health outcomes. Therefore, we aimed to systematically review existing meta-analyses about schizophrenia-associated comorbid health outcomes and validate the evidence levels. We performed an umbrella review of meta-analyses of observational studies to explore comorbid health outcomes in individuals with schizophrenia. Searches were conducted across PubMed/MEDLINE, EMBASE, ClinicalKey, and Google Scholar up to September 5, 2023, targeting meta-analyses of observational studies related to comorbid health outcomes in individuals with schizophrenia. We applied AMSTAR2 for data extraction and quality assessment, adhering to PRISMA guidelines. Evidence credibility was evaluated and categorized by evidence quality. Our protocol was registered with PROSPERO (CRD42024498833). Risk and protective factors were analyzed and presented through equivalent odds ratios (eRR). In this umbrella review, we analyzed 9 meta-analyses, including 88 original articles, covering 21 comorbid health outcomes with over 66 million participants across 19 countries. Patients with schizophrenia showed significant associations with multiple health outcomes, including asthma (eRR, 1.71 [95% CI, 1.05-2.78], class and quality of evidence [CE] = non-significant), chronic obstructive pulmonary disease (1.73 [1.25-2.37], CE = weak), pneumonia (2.63 [1.11-6.23], CE = weak), breast cancer of female patients (1.31 [1.04-1.65], CE = weak), cardiovascular disease (1.53 [1.12-2.11], CE = weak), stroke (1.71 [1.30-2.25], CE = weak), congestive heart failure (1.81 [1.21-2.69], CE = weak), sexual dysfunction (2.30 [1.75-3.04], CE = weak), fracture (1.63 [1.10-2.40], CE = weak), dementia (2.29 [1.19-4.39], CE = weak), and psoriasis (1.83 [1.18-2.83] CE = weak). Our study underscores the imperative for an integrated treatment approach to schizophrenia, highlighting its broad impact across respiratory, cardiovascular, sexual, neurological, and dermatological health domains. Given the predominantly non-significant to weak evidence levels, further studies are needed to reinforce our understanding.

Exposure to PFOA, PFOS, and PFHxS induces Alzheimer's disease-like neuropathology in cerebral organoids

Per- and polyfluoroalkyl substances (PFASs), a class of ubiquitous synthetic organic chemicals, are widely utilized across various industrial applications. However, the long-term neurological health effects of PFAS mixture exposure in humans remain poorly understood. To address this gap, we have designed a comprehensive study to predict and validate cell-type-specific neurotoxicity of PFASs using single-cell RNA sequencing (scRNA-seq) and cerebral organoids. Cerebral organoids were exposed to a PFAS mixture at concentrations of 1 × (10 ng/ml PFOS and PFOA, and 1 ng/ml PFHxS), 30 × , and 900 × over 35 days, with a follow-up analysis at day 70. Pathological alterations and lipidomic profiles were analyzed to identify disrupted molecular pathways and mechanisms. The scRNA-seq data revealed a significant impact of PFASs on neurons, suggesting a potential role in Alzheimer's Disease (AD) pathology, as well as intellectual and cognitive impairments. PFAS-treated cerebral organoids exhibited Aβ accumulation and tau phosphorylation. Lipidomic analyses further revealed lipid disturbances in response to PFAS mixture exposure, linking PFAS-induced AD-like neuropathology to sphingolipid metabolism disruption. Collectively, our findings provide novel insights into the PFAS-induced neurotoxicity, highlighting the significance of sphingolipid metabolism in the development of AD-like neuropathology. The use of cerebral organoids and scRNA-seq offers a powerful methodology for evaluating the health risks associated with environmental contaminants, particularly those with neurotoxic potential.

NeuroimaGene: an R package for assessing the neurological correlates of genetically regulated gene expression

BackgroundWe present the NeuroimaGene resource as an R package designed to assist researchers in identifying genes and neurologic features relevant to psychiatric and neurological health. While recent studies have identified hundreds of genes as potential components of pathophysiology in neurologic and psychiatric disease, interpreting the physiological consequences of this variation is challenging. The integration of neuroimaging data with molecular findings is a step toward addressing this challenge. In addition to sharing associations with both molecular variation and clinical phenotypes, neuroimaging features are intrinsically informative of cognitive processes. NeuroimaGene provides a tool to understand how disease-associated genes relate to the intermediate structure of the brain.ResultsWe created NeuroimaGene, a user-friendly, open access R package now available for public use. Its primary function is to identify neuroimaging derived brain features that are impacted by genetically regulated expression of user-provided genes or gene sets. This resource can be used to (1) characterize individual genes or gene sets as relevant to the structure and function of the brain, (2) identify the region(s) of the brain or body in which expression of target gene(s) is neurologically relevant, (3) impute the brain features most impacted by user-defined gene sets such as those produced by cohort level gene association studies, and (4) generate publication level, modifiable visual plots of significant findings. We demonstrate the utility of the resource by identifying neurologic correlates of stroke-associated genes derived from pre-existing analyses.ConclusionsIntegrating neurologic data as an intermediate phenotype in the pathway from genes to brain-based diagnostic phenotypes increases the interpretability of molecular studies and enriches our understanding of disease pathophysiology. The NeuroimaGene R package is designed to assist in this process and is publicly available for use.

Gut-Brain Axis and Neuroinflammation: The Role of Gut Permeability and the Kynurenine Pathway in Neurological Disorders.

The increasing prevalence of neurological disorders such as Alzheimer's, Parkinson's, and multiple sclerosis presents a significant global health challenge. Despite extensive research, the precise mechanisms underlying these conditions remain elusive, with current treatments primarily addressing symptoms rather than root causes. Emerging evidence suggests that gut permeability and the kynurenine pathway are involved in the pathogenesis of these neurological conditions, offering promising targets for novel therapeutic and preventive strategies. Gut permeability refers to the intestinal lining's ability to selectively allow essential nutrients into the bloodstream while blocking harmful substances. Various factors, including poor diet, stress, infections, and genetic predispositions, can compromise gut integrity, leading to increased permeability. This condition facilitates the translocation of toxins and bacteria into systemic circulation, triggering widespread inflammation that impacts neurological health via the gut-brain axis. The gut-brain axis (GBA) is a complex communication network between the gut and the central nervous system. Dysbiosis, an imbalance in the gut microbiota, can increase gut permeability and systemic inflammation, exacerbating neuroinflammation-a key factor in neurological disorders. The kynurenine pathway, the primary route for tryptophan metabolism, is significantly implicated in this process. Dysregulation of the kynurenine pathway in the context of inflammation leads to the production of neurotoxic metabolites, such as quinolinic acid, which contribute to neuronal damage and the progression of neurological disorders. This narrative review highlights the potential and progress in understanding these mechanisms. Interventions targeting the kynurenine pathway and maintaining a balanced gut microbiota through diet, probiotics, and lifestyle modifications show promise in reducing neuroinflammation and supporting brain health. In addition, pharmacological approaches aimed at modulating the kynurenine pathway directly, such as inhibitors of indoleamine 2,3-dioxygenase, offer potential avenues for new treatments. Understanding and targeting these interconnected pathways are crucial for developing effective strategies to prevent and manage neurological disorders.

Primary care experiences of adults reporting learning disability: a probability sample survey.

Background Adults with learning disability face multiple adversities, but evidence on their needs and primary care experiences is limited. Aim To compare the characteristics and primary care experiences of adults reporting learning disability with those who did not. Design and setting An analysis of the 2022 General Practice Patient Survey, a national probability sample survey conducted in 2022 with people registered with NHS primary care in England. Method This analysis reports descriptive profiles, weighted and with 95% confidence intervals. Logistic regression models adjusting for gender, age, ethnicity, and area-level deprivation compared experiences of adults reporting learning disability with those who did not. Results Survey participants comprised 623,157 people aged 16 or older, including 6,711 reporting learning disability. Adults reporting learning disability were more likely to be male, younger, of mixed or multiple ethnicities, and live in more deprived areas. All chronic conditions included in the survey were more common in adults reporting learning disability, especially reported sensory, neurodevelopmental, neurological, and mental health conditions. Adults reporting learning disability were twice as likely to have a preferred GP, and less likely to find their practice's website easy to navigate. They were also less likely to have confidence and trust in their healthcare professional, or feel their needs were met. Conclusion Adults reporting a learning disability had a higher likelihood of chronic health conditions. Their reported experiences of primary care indicate that despite recent initiatives to improve services offered, further adaptations to the consistency and ease of access to primary care is needed.

Plants’ Impact on the Human Brain—Exploring the Neuroprotective and Neurotoxic Potential of Plants

Background: Plants have long been recognized for their potential to influence neurological health, with both neuroprotective and neurotoxic properties. This review explores the dual nature of plant-derived compounds and their impact on the human brain. Discussion: Numerous studies have highlighted the neuroprotective effects of various phytoconstituents, such as those found in Ginkgo biloba, Centella asiatica, Panax ginseng, Withania somnifera, and Curcuma longa. The neuroprotective compounds have demonstrated antioxidant, anti-inflammatory, and cognitive-enhancing properties, making them promising candidates for combating neurodegenerative diseases and improving brain function. Polyphenolic compounds, triterpenic acids, and specific phytocompounds like the ones from EGb 761 extract have shown interactions with key enzymes and receptors in the brain, leading to neuroprotective outcomes. However, this review also acknowledges the neurotoxic potential of certain plants, such as the Veratrum species, which contains steroidal alkaloids that can cause DNA damage and disrupt neurological function, or Atropa belladonna, which interfere with the normal functioning of the cholinergic system in the body, leading to a range of symptoms associated with anticholinergic toxicity. Conslusions: This review also emphasizes the need for further research to elucidate the complex mechanisms underlying the neuroprotective and neurotoxic effects of plant-derived compounds, as well as to identify novel phytoconstituents with therapeutic potential. Understanding the complex relationship between plants and the human brain is crucial for harnessing the benefits of neuroprotective compounds while mitigating the risks associated with neurotoxic substances. This review provides a comprehensive overview of the knowledge on the neurological properties of plants and highlights the importance of continued research in this field for the development of novel therapeutic strategies targeting brain health and neurological disorders.

Functional connectivity across the lifespan: a cross-sectional analysis of changes.

In the era of functional brain networks, our understanding of how they evolve across life in a healthy population remains limited. Here, we investigate functional connectivity across the human lifespan using magnetoencephalography in a cohort of 792 healthy individuals, categorized into young (13 to 30 yr), middle (31 to 54 yr), and late adulthood (55 to 80 yr). Employing corrected imaginary phase-locking value, we map the evolving landscapes of connectivity within delta, theta, alpha, beta, and gamma classical frequency bands among brain areas. Our findings reveal significant shifts in functional connectivity patterns across all frequency bands, with certain networks exhibiting increased connectivity and others decreased, dependent on the frequency band and specific age groups, showcasing the dynamic reorganization of neural networks as age increases. This detailed exploration provides, to our knowledge, the first all-encompassing view of how electrophysiological functional connectivity evolves at different life stages, offering new insights into the brain's adaptability and the intricate interplay of cognitive aging and network connectivity. This work not only contributes to the body of knowledge on cognitive aging and neurological health but also emphasizes the need for further research to develop targeted interventions for maintaining cognitive function in the aging population.

Fear of Cancer Recurrence in Adult Survivors of Childhood Cancer

Fear of cancer recurrence is common among survivors of adult-onset cancer and associated with increased distress, functional impairment, and health care utilization. However, little is known about the prevalence and risk factors of fear of cancer recurrence among adult survivors of childhood cancer who are also at high risk for subsequent malignant neoplasms. To characterize the prevalence of and risk factors for clinically significant fear of cancer recurrence in adult survivors of childhood cancer. This cross-sectional investigation included participants recruited from the Childhood Cancer Survivor Study, a retrospective cohort study of long-term childhood cancer survivors treated at 31 institutions between 1970 and 1999 across North America. Participants were recruited and completed psychosocial measures via online survey between October 2018 and April 2019. Cancer and treatment-related variables were abstracted from medical records. Data were analyzed from May 2023 to July 2024. Clinically significant fear of cancer recurrence was assessed via the Fear of Cancer Recurrence Inventory-Short Form. Poisson regression models estimated prevalence ratios (PRs) with 95% CIs adjusted for age and sex to examine the associations of demographic, disease, treatment, and psychosocial variables with fear of cancer recurrence. The final sample included 229 adult survivors of childhood cancer (115 female [50.2%]; mean [SD] age, 39.6 [9.9] years; mean [SD] time since diagnosis, 31.7 [8.4] years). Among survivors, 38 (16.6%; 95% CI, 11.6%-21.6%) reported clinically significant fear of cancer recurrence, and an additional 36 (15.7%) reported high fear of cancer recurrence. Clinically significant fear of cancer recurrence was associated with unemployment (PR, 2.5; 95% CI, 1.3-4.8), presence of neurologic chronic health conditions (PR, 3.3; 95% CI, 1.8-6.1), treatment with pelvic radiation (PR, 2.9; 95% CI, 1.5-5.6), and amputation or limb sparing surgery (PR, 2.4; 95% CI, 1.2-4.9). Higher risk of clinically significant fear of cancer recurrence was also associated with having either elevated anxiety or depression (PR, 2.6; 95% CI, 1.2-5.9), having both elevated (PR, 3.2; 95% CI, 1.2-8.4), and perceived poor health status (PR, 3.0; 95% CI, 3.1-9.7). Decades following treatment, one-third of childhood cancer survivors in this study reported elevated fear their cancer will recur or a subsequent malignant neoplasm will develop. Findings suggest that fear of cancer recurrence should be routinely screened, and clinically significant symptoms intervened upon as a part of survivorship care.