176 results match your criteria: "University of Toyama Graduate School of Medicine and Pharmaceutical Sciences.[Affiliation]"

Background: Machine learning (ML) has emerged as a promising tool for risk stratification. However, few studies have applied ML to risk assessment of patients with atrial fibrillation (AF).

Hypothesis: We aimed to compare the performance of random forest (RF), logistic regression (LR), and conventional risk schemes in predicting the outcomes of AF.

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Article Synopsis
  • Widespread cortical thinning in fronto-temporal regions has been noted in schizophrenia, but findings in those at risk for mental illness (ARMS) are inconsistent, raising questions about whether these abnormalities relate to functional decline regardless of future psychosis.
  • A study in Japan assessed 107 ARMS individuals compared to healthy controls using MRI to measure cortical thickness (CT), finding that ARMS individuals generally show reduced CT, especially in areas associated with cognitive function, and increased CT in other brain regions.
  • Non-resilient ARMS individuals displayed significantly reduced CT in the right paracentral lobule compared to resilient ones, suggesting that certain CT abnormalities may indicate a general vulnerability to mental illness and could serve as a biomarker for predicting
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Background: The effects of catheter ablation (CA) energy sources on myocardial injury and coagulation biomarkers among Japanese non-valvular atrial fibrillation patients receiving uninterrupted periprocedural edoxaban are unclear. This KYU-RABLE exploratory subanalysis compared the effects of CA using radiofrequency energy vs. cryoballoon on: (1) myocardial injury; and (2) plasma edoxaban and coagulation biomarker concentrations measured before and after CA.

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Association of Structural Magnetic Resonance Imaging Measures With Psychosis Onset in Individuals at Clinical High Risk for Developing Psychosis: An ENIGMA Working Group Mega-analysis.

JAMA Psychiatry

July 2021

Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Faculty of Health Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.

Article Synopsis
  • - The ENIGMA initiative focuses on identifying neurobiological markers that indicate the risk of developing psychosis, utilizing the largest neuroimaging sample of individuals classified as clinically high risk (CHR) so far.
  • - A study analyzed baseline MRI data from 3169 participants across 31 international sites, comparing structural brain differences between CHR individuals and healthy controls, as well as between those who later developed psychosis (CHR-PS+) and those who did not (CHR-PS-).
  • - Results showed that CHR individuals had significantly lower cortical thickness in certain brain regions compared to healthy controls, indicating potential neurobiological changes linked to the progression to psychosis.
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Objectives: A single-arm prospective study was conducted among Japanese patients with type 2 diabetes having preserved ejection fraction. The aim was to investigate (1) whether liraglutide therapy could improve B-type natriuretic peptide (BNP) levels and diastolic cardiac function assessed by the -wave to ' ratio (/') using transthoracic echocardiography (TTE), and (2) whether /' contributed to BNP improvement independent of bodyweight reduction (UMIN000005565).

Methods: Patients with type 2 diabetes and left ventricular ejection fraction (LVEF) ≥ 40% without heart failure symptoms were enrolled, and daily injection with liraglutide (0.

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Magnetic resonance imaging (MRI) studies in schizophrenia demonstrated volume reduction in hippocampal subfields divided on the basis of specific cytoarchitecture and function. However, it remains unclear whether this abnormality exists prior to the onset of psychosis and differs across illness stages. MRI (3 T) scans were obtained from 77 patients with schizophrenia, including 24 recent-onset and 40 chronic patients, 51 individuals with an at-risk mental state (ARMS) (of whom 5 subsequently developed psychosis within the follow-up period), and 87 healthy controls.

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Background: Coronavirus disease 2019 (COVID-19) has placed a tremendous strain on healthcare services. This study, prepared by a large international panel of stroke experts, assesses the rapidly growing research and personal experience with COVID-19 stroke and offers recommendations for stroke management in this challenging new setting: modifications needed for prehospital emergency rescue and hyperacute care; inpatient intensive or stroke units; posthospitalization rehabilitation; follow-up including at-risk family and community; and multispecialty departmental developments in the allied professions.

Summary: The severe acute respiratory syndrome coronavirus 2 uses spike proteins binding to tissue angiotensin-converting enzyme (ACE)-2 receptors, most often through the respiratory system by virus inhalation and thence to other susceptible organ systems, leading to COVID-19.

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Anomalous patterns of brain gyrification have been reported in major psychiatric disorders, presumably reflecting their neurodevelopmental pathology. However, previous reports presented conflicting results of patients having hyper-, hypo-, or normal gyrification patterns and lacking in transdiagnostic consideration. In this article, we systematically review previous magnetic resonance imaging studies of brain gyrification in schizophrenia, bipolar disorder, major depressive disorder, and autism spectrum disorder at varying illness stages, highlighting the gyral pattern trajectory for each disorder.

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Background: Catheter ablation (CA) for atrial fibrillation (AF) can be associated with a risk of thromboembolism and bleeding. We recently demonstrated that uninterrupted edoxaban with one dose delayed on the CA procedural day is associated with a low risk of periprocedural complications. Previous reports have indicated that some specific subgroups of patients undergoing CA have an increased risk of bleeding and thromboembolic complications.

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Aims/introduction: Fragmented QRS (fQRS) on electrocardiography is a marker of myocardial fibrosis and myocardial scar formation. This study aimed to clarify the relationship of fQRS with diabetes mellitus and metabolic syndrome (MetS) in Japanese patients.

Materials And Methods: Approximately 702 individuals who had a routine health checkup at the Hokuriku Health Service Association (Toyama, Japan) in October 2014 were enrolled and categorized into one of the following four groups based on MetS and diabetes mellitus status: with diabetes mellitus (+) MetS+ (164 participants); diabetes mellitus+ without MetS (Mets-; 103 participants); diabetes mellitus- MetS+ (133 participants); and diabetes mellitus- MetS- (302 participants).

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Article Synopsis
  • Reduced amplitude of duration mismatch negativity (dMMN) is associated with psychotic disorders and individuals at risk for psychosis, but few studies have tracked these changes over time.
  • The study compared dMMN amplitude between individuals at-risk for psychosis who later developed it (ARMS-P) and those who did not (ARMS-NP), along with healthy controls, measuring dMMN twice over a mean interval of 2 years.
  • Results showed that ARMS-P individuals had lower dMMN amplitudes at baseline and a significant decline in amplitude over time, suggesting that dMMN could serve as a biological marker for predicting the onset of psychosis.
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Recent studies have demonstrated brain structural changes that predate or accompany the onset of frank psychosis, such as schizophrenia, among individuals with an at-risk mental state (ARMS). The planum temporale (PT) is a brain region involved in language processing. In schizophrenia patients, gray matter volume reduction and lack of normal asymmetry (left > right) of PT have repeatedly been reported.

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Disabled 1 (DAB1) is an intracellular adaptor protein in the Reelin signaling pathway and plays an essential role in correct neuronal migration and layer formation in the developing brain. DAB1 has been repeatedly reported to be associated with neurodevelopmental disorders including schizophrenia (SCZ) and autism spectrum disorders (ASD) in genetic, animal, and postmortem studies. Recently, increasing attention has been given to rare single-nucleotide variants (SNVs) found by deep sequencing of candidate genes.

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Dysregulation of epigenetic processes involving histone methylation induces neurodevelopmental impairments and has been implicated in schizophrenia (SCZ) and autism spectrum disorder (ASD). Variants in the gene encoding lysine demethylase 4C (KDM4C) have been suggested to confer a risk for such disorders. However, rare genetic variants in KDM4C have not been fully evaluated, and the functional impact of the variants has not been studied using patient-derived cells.

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Structural brain alterations have been repeatedly reported in schizophrenia; however, the pathophysiology of its alterations remains unclear. Multivariate pattern recognition analysis such as support vector machines can classify patients and healthy controls by detecting subtle and spatially distributed patterns of structural alterations. We aimed to use a support vector machine to distinguish patients with schizophrenia from control participants on the basis of structural magnetic resonance imaging data and delineate the patterns of structural alterations that significantly contributed to the classification performance.

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Major mental illnesses such as schizophrenia (SZ) and bipolar disorder (BP) frequently accompany metabolic conditions, but their relationship is still unclear, in particular at the mechanistic level. We implemented an approach of "from population to neuron", combining population-based epidemiological analysis with neurobiological experiments using cell and animal models based on a hypothesis built from the epidemiological study. We characterized high-quality population data, olfactory neuronal cells biopsied from patients with SZ or BP, and healthy subjects, as well as mice genetically modified for insulin signaling.

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Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders.

JAMA Psychiatry

January 2021

Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.

Article Synopsis
  • - Large-scale neuroimaging studies show differences in cortical thickness in various psychiatric disorders, but the biological reasons for these differences are not fully understood.
  • - The study aimed to identify neurobiological correlates of cortical thickness variations between affected individuals and controls across six disorders: ADHD, ASD, BD, MDD, OCD, and schizophrenia.
  • - Using data from 145 cohorts and advanced imaging techniques, the analysis revealed distinct patterns of cortical thickness associated with specific gene expressions in disorders, involving a total of over 28,000 participants.
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  • Mutations in nuclear envelope genes linked to Emery-Dreifuss muscular dystrophy can cause cardiac issues, but some mutations result in heart problems without skeletal symptoms.
  • A study analyzed families with cardiac conduction diseases and identified three specific mutations associated with progressive atrial arrhythmias and left ventricular noncompaction (LVNC).
  • The findings suggest that cardiac emerinopathy presents as a new condition characterized by atrial standstill, LVNC, and a heightened risk of thromboembolism, distinguishing it from traditional Emery-Dreifuss muscular dystrophy.
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Progressive gray matter reductions in the insular cortex have been reported in the early phases of schizophrenia (Sz); however, the trajectory of these reductions during the course of the illness currently remains unclear. Furthermore, it has not yet been established whether patients with schizotypal (SzTypal) features exhibit progressive changes in the insular cortex. This follow-up magnetic resonance imaging study examined volume changes in the short and long insular cortices (mean inter-scan interval = 2.

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Background: Heart failure is a worldwide health problem that significantly affects patients' physical function and health state. The Kansas City Cardiomyopathy Questionnaire (KCCQ) is a disease-specific patient-reported outcome measure commonly used for the assessment of health states of patients with heart failure. This study aimed to evaluate the psychometric properties of the Japanese version of the KCCQ.

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Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA.

Neuroimage

September 2020

Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California Irvine, 309 Qureshey Research Lab, Irvine, CA, 92697, USA.

Article Synopsis
  • The ENIGMA Consortium aims to enhance neuroimaging studies by combining data from various institutions, tackling the issue of small sample sizes but facing challenges due to diverse scanning devices.
  • This study tested the effectiveness of the ComBat batch adjustment method to reduce site-related differences and improve statistical outcomes in comparing brain structure between individuals with schizophrenia and healthy controls.
  • Results showed that using ComBat significantly boosted statistical significance and power in analyses, making it a recommended tool for ENIGMA and other multi-site neuroimaging projects, with user-friendly R functions available for implementation.
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Despite previous neuroimaging studies demonstrating morphological abnormalities of the thalamus and other subcortical structures in patients with schizophrenia, the potential role of the thalamus and its subdivisions in the pathophysiology of this illness remains elusive. It is also unclear whether similar changes of these structures occur in individuals at high risk for psychosis. In this study, magnetic resonance imaging was employed with the Multiple Automatically Generated Templates (MAGeT) brain segmentation algorithm to determine volumes of the thalamic subdivisions, the striatum (caudate, putamen, and nucleus accumbens), and the globus pallidus in 62 patients with schizophrenia, 38 individuals with an at-risk mental state (ARMS) [4 of whom (10.

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High level of work-family conflict (WFC) is an important risk factor for stress-related health outcomes. However, many studies are cross-sectional studies. In this study, we aimed to clarify how changes in WFC levels over a period 5 yr can affect workers' mental and physical health, and to clarify whether there are gender differences of them.

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