Major depressive disorder (MDD) is a global healthcare issue and one of the leading causes disability. Machine learning combined with non-invasive electroencephalography (EEG) has recently been shown to have potential diagnose MDD. However, most these studies analyzed small samples participants recruited from single source, raising serious concerns about generalizability results in clinical practice. Thus, it become critical re-evaluate efficacy various common EEG features for MDD detection...

Background To safeguard the most vulnerable individuals during COVID-19 pandemic, numerous governments enforced measures such as stay-at-home orders, social distancing, and self-isolation. These restrictions had a particularly negative effect on older adults, they are more experience increased loneliness, which has various adverse effects, including increasing risk of mental health problems mortality. Chatbots can potentially reduce loneliness provide companionship pandemic. However,...

Background. Two recent surveys of depression among Chinese elderly people sampled different populations, used case ascertainment methods and resulted in a seven-fold difference prevalence rates. The present study was conducted to compare rates obtained with two commonly the same population, examine risk factors for depression.Methods. target population included all residents aged 65 years over rural community. Participants were interviewed demographic medical information, examined by...

Background Late-life depression (LLD) in the elderly was reported to present with emotion dysregulation accompanied by high perceived loneliness. Previous research has suggested that LLD is a disorder of connectivity and associated aberrant network properties. On other hand, loneliness found adversely affect brain, but little known about its neurobiological basis LLD. The current study investigated relationships between structural connectivity, functional during affective processing, Method...

Abstract Suicidal ideation, plans and behavior are particularly serious health issues among the older population, resulting in a higher likelihood of deaths than any other age group. The increasing prevalence depression late life reflects urgent need for efficient screening suicide risk people with late-life depression. Employing cross-sectional design, we performed connectome-based predictive modelling using whole-brain resting-state functional connectivity white matter structural data to...

Type D personality (TDP) has been recognized as a risk factor for many diseases. The aims of our study were to estimate the prevalence TDP and glycemic control on patients with type 2 diabetes mellitus (T2DM) assess their relationship between socio-psychological factors, such perceived stress, self-efficacy, self-care behaviors, psychological distress.A total 198 T2DM (male 62.6%, mean age 51.2±11.0, HbA1c 7.3±1.8%) recruited consecutively from Department Endocrinology regional hospital in...

Abstract Objectives Glymphatic system maintains brain fluid circulation via active transportation of astrocytic aquaporin-4 in perivascular space. The diffusion tensor imaging analysis along the space (DTI-ALPS) is an established method measuring glymphatic activity, but comprehensive investigations into its influential factors are lacking. Methods Community-dwelling older adults underwent MRI scans, neuropsychiatric, and multi-domain assessments. Blood biomarker tests included glial...

To examine ethnic disparity in prevalence and associated factors of myopia adolescents using the Unites States National Health Nutrition Examination Survey (NHANES) dataset.Participants who were aged 12-19 years included from NHANES (1999-2008). Logistic regression analyses applied to identify risk with after stratification by race.A total 9,960 participants analysis, 6,571 factor analysis. Other race (excluded Mexican American, other Hispanic, non-Hispanic white, black) had highest...

Late-life depression (LLD) is an affective disorder that highly prevalent among older people. Cognitive reserve (CR) refers to active process facilitates the flexibility and efficiency of neural networks compensate for impairments emerge in consequence brain pathology. The current functional magnetic resonance imaging study investigated whether how CR affects emotional regulation, level severity activity associated with control during Stroop (eStroop) task. Altogether, 90 people participated...

Appropriate tools and references are essential for evaluating individuals' cognitive levels. This study validated the Taiwan version of Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-cog) provided normative data Mini-Mental State Examination (MMSE), Montreal Cognitive (MoCA), ADAS-cog in community-dwelling older adults.MMSE, MoCA, were administered to 150 nondemented healthy adults aged 55-85 years during 2018-2020 as part Northeastern Community Medicine Research Cohort. was...

Abstract Background Late-life depression (LLD) is a risk factor for dementia and cognitive decline. Fish oil supplement efficacious depressive symptoms with protective benefits. While there limited strategy to deter decline in older adults, examining the protection LLD by using fish can potentially provide new promise. Aims & Objectives In addition double-blind randomized controlled trial examine clinical effects of LLD, we also explore neural mechanism pre-and post fMRI scans. Method A...

Introduction: Methanol poisoning continues to be a serious public health issue in Taiwan, but very little work has been done study the outcomes of methanol toxicity Asian population. In this study, we examined value multiple clinical variables predicting mortality after exposure. Methods: We performed retrospective observational on patients with acute who were admitted Chang Gung Memorial Hospital over period 9 years (2000–2008). Out 6,347 patients, only 32 suffered intoxication. The...

Many cases of carbon monoxide poisoning in Taiwan are due to burning charcoal. Nevertheless, few reports have analyzed the mortality rate these patients who survive reach a hospital and die despite intensive treatment. Therefore, this study examined clinical features, physiological markers, outcomes after associations between findings.We records 261 were referred for management intoxication 2000 2010. Patients grouped according status at discharge as alive (survivor, n = 242) or dead...

Objective Late‐life depression is a significant health risk factor for older adults, part of which perceived loneliness. In this voxel‐based morphometry study, we examined the relationships between loneliness and recurrence. Methods Fifty‐two adults were recruited, they split into 3 groups: single episode, multiple episodes, or normal control groups, according to their clinical histories. Results This result suggests level functioning regarding reward system may be negatively related number...

Paraquat poisoning is a lethal method of suicide used around the world. Although restricting its accessibility had been widely discussed, underlying psychopathological mechanism paraquat self-poisoning and association with mortality have not yet explicitly evaluated.

White matter hyperintensity (WMH) has been regarded as one of the major contributor vascular hypothesis late-life depression (LLD) and cognitive decline in elderly. On other hand, reserve (CR) long hypothesized to provide resilience adaptability against age- disease-related insults. This study examined role CR, using proxy education, moderating association between WMH clinical LLD expression.A total 54 elderly diagnosed with depressive disorder 38 matched healthy controls participated this...

Suicidality involves thoughts (ideations and plans) actions related to self-inflicted death. To improve management prevention of suicidality, it is essential understand the key neural mechanisms underlying suicidal actions. Following empirically informed framework, we hypothesized that would be primarily characterized by alterations in default mode network indicating disrupted self-related processing, whereas changes lateral prefrontal corticostriatal circuitries implicating compromised...

Abstract Background : Predicting suicide is a pressing issue among older adults; however, predicting its risk difficult. Capitalizing on the recent development of machine learning, considerable progress has been made in complex behavior such as suicide. As depression remained strongest for suicide, we aimed to apply deep learning algorithms identify suicidality group with late‐life (LLD). Methods We enrolled 83 patients LLD, 35 which were non‐suicidal and 48 suicidal, including 26 only...

Abstract Background Subjective cognitive decline (SCD) is an early stage of dementia linked to Alzheimer's disease pathology. White matter changes were found in SCD using diffusion tensor imaging, but there are known limitations voxel-wise tensor-based methods. Fixel-based analysis (FBA) can help understand white fibers and how they relate neurodegenerative proteins multidomain behavior data individuals with SCD. Methods Healthy adults normal cognition recruited the Northeastern Taiwan...