INTRODUCTION: Interpretation and analysis of magnetic resonance imaging (MRI) scans in clinical settings comprise time-consuming visual ratings and complex neuroimage processing that require trained professionals. To combat these challenges, artificial intelligence (AI) techniques can aid clinicians in interpreting brain MRI for accurate diagnosis of neurodegenerative diseases but they require extensive validation. Thus, the aim of this study was to validate the use of AI-based AQUA (Neurophet Inc., Seoul, Republic of Korea) segmentation software in a Southeast Asian community-based cohort with normal cognition, mild cognitive impairment (MCI) and dementia. METHOD: Study participants belonged to the community-based Biomarker and Cognition Study in Singapore. Participants aged between 30 and 95 years, having cognitive concerns, with no diagnosis of major psychiatric, neurological or systemic disorders who were recruited consecutively between April 2022 and July 2023 were included. Participants underwent neuropsychological assessments and structural MRI, and were classified as cognitively normal, with MCI or with dementia. MRI pre-processing using automated pipelines, along with human-based visual ratings, were compared against AI-based automated AQUA output. Default mode network grey matter (GM) volumes were compared between cognitively normal, MCI and dementia groups. RESULTS: A total of 90 participants (mean age at visit was 63.32±10.96 years) were included in the study (30 cognitively normal, 40 MCI and 20 dementia). Non-parametric Spearman correlation analysis indicated that AQUA-based and human-based visual ratings were correlated with total (ρ=0.66; P<0.0001), periventricular (ρ=0.50; P<0.0001) and deep (ρ=0.57; P<0.0001) white matter hyperintensities (WMH). Additionally, volumetric WMH obtained from AQUA and automated pipelines was also strongly correlated (ρ=0.84; P<0.0001) and these correlations remained after controlling for age at visit, sex and diagnosis. Linear regression analyses illustrated significantly different AQUA-derived default mode network GM volumes between cognitively normal, MCI and dementia groups. Dementia participants had significant atrophy in the posterior cingulate cortex compared to cognitively normal participants (P=0.021; 95% confidence interval [CI] -1.25 to -0.08) and in the hippocampus compared to cognitively normal (P=0.0049; 95% CI -1.05 to -0.16) and MCI participants (P=0.0036; 95% CI -1.02 to -0.17). CONCLUSION Our findings demonstrate high concordance between human-based visual ratings and AQUA-based ratings of WMH. Additionally, the AQUA GM segmentation pipeline showed good differentiation in key regions between cognitively normal, MCI and dementia participants. Based on these findings, the automated AQUA software could aid clinicians in examining MRI scans of patients with cognitive impairment.
Humans ; Cognitive Dysfunction/pathology* ; Magnetic Resonance Imaging/methods* ; Male ; Middle Aged ; Female ; Aged ; Artificial Intelligence ; Software ; Dementia/diagnostic imaging* ; Aged, 80 and over ; Adult ; Singapore ; Neuropsychological Tests ; Brain/pathology* ; Cohort Studies ; Gray Matter/pathology* ; Southeast Asian People

Post-stroke aphasia is associated with a significantly elevated risk of depression, yet the underlying mechanisms remain unclear. This study recorded 64-channel electroencephalogram data and depression scale scores from 12 aphasic patients with depression, 8 aphasic patients without depression, and 12 healthy controls during resting state and an emotional Stroop task. Spectral and microstate analyses were conducted to examine brain activity patterns across conditions. Results showed that depression scores significantly negatively explained the occurrence of microstate class C and positively explained the transition probability from microstate class A to B. Furthermore, aphasic patients with depression exhibited increased alpha-band activation in the frontal region. These findings suggest distinct neural features in aphasic patients with depression and offer new insights into the mechanisms contributing to their heightened vulnerability to depression.
Humans ; Electroencephalography ; Aphasia/etiology* ; Stroop Test ; Emotions/physiology* ; Depression/etiology* ; Male ; Female ; Middle Aged ; Stroke/complications* ; Brain/physiopathology* ; Aged ; Adult ; Rest/physiology*

OBJECTIVES: To investigate the relationship between the polygenic risks for various psychiatric disorders and clinical and neuropsychological characteristics in children with attention-deficit/hyperactivity disorder (ADHD). METHODS: Using a cross-sectional design, 285 children with ADHD and 107 healthy controls were assessed using the Child Behavior Checklist, the Behavior Rating Inventory of Executive Function for parents, the Wechsler Intelligence Scale for Children, Fourth Edition, and the Cambridge Neuropsychological Test Automated Battery. Blood samples were collected for genetic data. Polygenic risk scores (PRSs) for various psychiatric disorders were calculated using the PRSice-2 software. RESULTS: Compared with the healthy controls, the children with ADHD displayed significantly higher PRSs for ADHD, major depressive disorder, anxiety disorder, and obsessive-compulsive disorder (P<0.05). In terms of daily-life executive function, ADHD-related PRS was significantly correlated with the working memory factor; panic disorder-related PRS was significantly correlated with the initiation factor; bipolar disorder-related PRS was significantly correlated with the shift factor; schizophrenia-related PRS was significantly correlated with the inhibition, emotional control, initiation, working memory, planning, organization, and monitoring factors (P<0.05). The PRS related to anxiety disorders was negatively correlated with total IQ and processing speed index (P<0.05). The PRS related to obsessive-compulsive disorder was negatively correlated with the processing speed index and positively correlated with the stop-signal reaction time index of the stop-signal task (P<0.05). CONCLUSIONS PRSs for various psychiatric disorders are closely correlated with the behavioral and cognitive characteristics in children with ADHD, which provides more insights into the heterogeneity of ADHD.
Humans ; Attention Deficit Disorder with Hyperactivity/genetics* ; Child ; Male ; Female ; Cross-Sectional Studies ; Neuropsychological Tests ; Multifactorial Inheritance ; Adolescent ; Mental Disorders/etiology* ; Executive Function ; Genetic Risk Score

This study was to examine the validity of the Japanese version of MemScreen (MemScreen-J), a touchscreen MCI screening test. 20 patients with MCI aged 65-90 years at the Juntendo Tokyo Koto Geriatric Medical Center were recruited as cases in December 2023. Non-cases were recruited from local residents in Toon City, Ehime Prefecture in February 2024 and 40 residents, without a medical history of MCI, aged 58-84 years were included in the present study. MemScreen-J test, a self-administered screening test in the form of a digital application, downloadable on a tablet, was administered to participants to assess their cognitive function. Defining the group at high risk of MCI based on a MemScreen-J test score of 28 or lower achieved the best Youden index in the study sample, with a sensitivity of 0.75 and a specificity of 0.98. MemScreen-J appeared to be a valid screening tool among persons at the prodromal stage of dementia, given reasonably high accuracy in detection of MCI. This innovative neuropsychological test could be the first step in a diagnostic approach to cognitive complaints in a community, identifying persons at the preclinical stage of dementia.
Humans ; Cognitive Dysfunction/diagnosis* ; Aged ; Aged, 80 and over ; Male ; Female ; Japan ; Neuropsychological Tests ; Middle Aged ; Mass Screening/methods* ; Sensitivity and Specificity ; Reproducibility of Results ; East Asian People

Despite that sleep disturbance and poor neurocognitive performance are common complaints among coronavirus disease 2019 (COVID-19) survivors, few studies have focused on the effect of post-COVID-19 sleep disturbance (PCSD) on cognitive function. This study aimed to identify the impact of PCSD on neurocognitive function and explore the associated risk factors for the worsening of this condition. This cross-sectional study was conducted via the web-based assessment in Chinese mainland. Neurocognitive function was evaluated by the modified online Integrated Cognitive Assessment (ICA) and the Number Ordering Test (NOT). Propensity score matching (PSM) was utilized to match the confounding factors between individuals with and without PCSD. Univariate analyses were performed to evaluate the effect of PCSD on neurocognitive function. The risk factors associated with worsened neurocognitive performance in PCSD individuals were explored using binary logistic regression. A total of 8692 individuals with COVID-19 diagnosis were selected for this study. Nearly half (48.80%) of the COVID-19 survivors reported sleep disturbance. After matching by PSM, a total of 3977 pairs (7954 individuals in total) were obtained. Univariate analyses revealed that PCSD was related to worse ICA and NOT performance (P<0.05). Underlying disease, upper respiratory infection, loss of smell or taste, severe pneumonia, and self-reported cognitive complaints were associated with worsened neurocognitive performance among PCSD individuals (P<0.05). Furthermore, aging, ethnicity (minority), and lower education level were found to be independent risk factors for worsened neurocognitive performance in PCSD individuals (P<0.05). PCSD was related to impaired neurocognitive performance. Therefore, appropriate prevention and intervention measures should be taken to minimize or prevent PCSD and eliminate its potential adverse effect on neurocognitive function.
Humans ; COVID-19/epidemiology* ; Male ; Female ; Sleep Wake Disorders/epidemiology* ; Propensity Score ; Middle Aged ; Cross-Sectional Studies ; Adult ; SARS-CoV-2 ; Aged ; Risk Factors ; China/epidemiology* ; Cognition ; Cognitive Dysfunction/etiology* ; Neuropsychological Tests

Previous studies have found associations between color discrimination deficits and cognitive impairments besides aging. However, investigations into the microstructural pathology of brain white matter (WM) associated with these deficits remain limited. This study aimed to examine the microstructural characteristics of WM in the non-demented population with abnormal color discrimination, utilizing Neurite Orientation Dispersion and Density Imaging (NODDI), and to explore their correlations with cognitive functions and cognition-related plasma biomarkers. The tract-based spatial statistic analysis revealed significant differences in specific brain regions between the abnormal color discrimination group and the healthy controls, characterized by increased isotropic volume fraction and decreased neurite density index and orientation dispersion index. Further analysis of region-of-interest parameters revealed that the isotropic volume fraction in the bilateral anterior thalamic radiation, superior longitudinal fasciculus, cingulum, and forceps minor was significantly correlated with poorer performance on neuropsychological assessments and to varying degrees various cognition-related plasma biomarkers. These findings provide neuroimaging evidence that WM microstructural abnormalities in non-demented individuals with abnormal color discrimination are associated with cognitive dysfunction, potentially serving as early markers for cognitive decline.
Humans ; White Matter/pathology* ; Male ; Female ; Cognitive Dysfunction/physiopathology* ; Middle Aged ; Aged ; Color Perception/physiology* ; Brain/pathology* ; Neuropsychological Tests ; Diffusion Tensor Imaging

Objective To investigate the alterations of cerebral blood flow(CBF)in type 2 diabetic mellitus(T2DM) patients without cognitive impairment by using arterial spin labeling(ASL)technique.Methods A total of 23 T2DM patients without cognitive impairment and 23 healthy controls(HC)matched by age,sex,and education attainment were recruited.Their clinical data were collected,and neuropsychological tests and cerebral magnetic resonance imaging were performed.Then,the outcomes of clinical features,neuropsychological tests,and global and regional CBF were compared between the two groups.The significant regional zCBF(z-transformed relative CBF)values were extracted and correlated with clinical data and neuropsychological scores in T2DM patients,controlling age,sex,and education.Results No significant difference was found in whole brain CBF between the two groups(P=0.155),while significantly higher CBF was identified in the left superior temporal gyrus and left insula in the T2DM group(Gaussian random field correction,initial threshold P < 0.001,cluster level P < 0.05).No correlation was observed between the significant regional zCBF values and the clinical data or the neuropsychological scores in T2DM patients(all P>0.05).Conclusion Alterations in cerebral hemodynamics may precede cognitive function changes in T2DM,suggesting that the ASL technique is promising for early monitoring of cerebral hemodynamic changes associated with cognitive impairment in patients with T2DM.
Humans ; Diabetes Mellitus, Type 2/physiopathology* ; Cerebrovascular Circulation ; Middle Aged ; Male ; Female ; Magnetic Resonance Imaging ; Case-Control Studies ; Cognitive Dysfunction ; Neuropsychological Tests ; Aged

OBJECTIVES: The prevalence of human immunodeficiency virus (HIV) associated neurocognitive disorders (HAND) in people living with HIV/acquired immunodeficiency syndrome (PLWHA) worldwide is as high as 42.6%. This study aims to investigate the neurocognitive function status and its influencing factors in PLWHA, providing evidence for early identification and intervention of neurocognitive impairment in this population. METHODS: PLWHA aged 18 and above who received outpatient or inpatient care at the First Hospital of Changsha between June and August 2019 were included. Sociodemographic and HIV-related information were collected. Neurocognitive function was assessed using the Brief Neurocognitive Screen (BNCS), which includes the Digit Symbol Test (DST) and Trail Making Test A and B (TMT-A and TMT-B). Impaired neurocognitive function was defined as abnormal scores in at least one dimension (DST score <30, TMT-A time >60 seconds, TMT-B time >90 seconds). RESULTS: A total of 375 PLWHA were included, of whom 212 (56.5%) exhibited neurocognitive impairment. Higher impairment rates were observed among females, individuals aged ≥50 years, those with primary education or below, and those who were married/cohabiting (all P<0.05). Heterosexual transmission accounted for the majority of infections (233 cases, 62.1%), with a significantly higher rate of neurocognitive impairment (69.1%) compared to homosexual transmission and unknown routes (P<0.001). Higher WHO clinical stages were associated with increased impairment rates (P<0.001). PLWHA with a nadir CD4⁺ T cell count <200 cells/mm³ or an infection duration ≥5 years had significantly higher impairment rates than those with higher CD4⁺ T cell count or shorter infection durations (both P<0.05). Logistic regression analysis showed that patients with a nadir CD4⁺ T cell count <200 cells/mm³ had a significantly higher risk of neurocognitive impairment (OR=2.461, 95% CI 1.116 to 5.427). Compared to WHO stage I, the risk increased progressively in stage II (OR=6.005, 95% CI 2.906 to 12.407), stage III (OR=6.989, 95% CI 2.502 to 19.523), and stage IV (OR=22.059, 95% CI 7.289 to 66.760; all P<0.05). CONCLUSIONS Potential risk factors for neurocognitive impairment in PLWHA include low nadir CD4⁺ T cell counts and advanced WHO clinical stages. The lower the CD4⁺ T cell count and the higher the clinical stage, the greater the risk of neurocognitive dysfunction.
Humans ; Female ; Male ; Middle Aged ; HIV Infections/psychology* ; Adult ; Acquired Immunodeficiency Syndrome/psychology* ; Neuropsychological Tests ; Cognitive Dysfunction/epidemiology* ; Neurocognitive Disorders/epidemiology* ; CD4 Lymphocyte Count ; Risk Factors ; Aged

OBJECTIVE: The prevalence of depressive symptoms has become a significant public health issue in China. Research on the relationship between personality traits and changes in depressive symptoms, as well as further exploration of urban-rural differences, not only benefits for the understanding of the prevalence trend of depression in China, but also provides a useful reference for the government to develop personalized mental health prevention strategies. METHODS: Based on the data from the China Family Panel Studies in 2018 and 2020, a univariate analysis was conducted on 16 198 Chinese residents aged 18 years and above. Five dimensions of personality traits were conscientiousness, extraversion, agreeableness, neuroticism and openness. In the study, 16 198 residents were divided into "keep good group", "better group", "worse group" and "keep bad group" according to the changes in depressive symptoms in 2018 and 2020. After controlling for factors, such as gender and education, multinomial Logistic regression analysis was used to examine whether personality traits were associated with changes in depressive symptoms. In addition, we evaluated whether urban-rural and personality traits interacted to influence depressive symptoms. RESULTS: The five dimensions of personality traits were significantly correlated with changes in depressive symptoms. Conscientiousness, extroversion, and agreeableness were negatively associated with depressive symptoms, while neuroticism and openness were positively related. Urban and rural differences moderated the relationship between personality traits and depressive symptoms. Compared with urban residents, rural residents showed stronger correlations between neuroticism (OR=1.14; 95%CI: 1.00-1.30) and the group of depression-recovery, as well as conscientiousness (OR=0.79;95%CI: 0.68-0.93) and the group of persistent-depression. CONCLUSION The study finds that personality traits have a significant correlation with changes in depressive symptoms, with certain traits showing a negative or positive relationship. Specifically, higher levels of conscientiousness, extraversion, and agreeableness are associated with lower levels of depressive symptoms, while higher levels of neuroticism and openness are associated with higher levels of depressive symptoms. In addition, the study finds that rural residents have a stronger association between their personality traits and persistent or improved depressive symptoms, which highlights the need for tailoring mental health intervention and prevention programs that should take into account personality traits and urban-rural differences in China. By developing targeted strategies that are sensitive to personality differences and geographic disparities, policymakers and mental health professionals can help prevent and reduce the incidence of depressive symptoms, ultimately improving the overall well-being of Chinese adults. Meanwhile, additional studies in independent populations are needed to corroborate the findings of this study.
Adult ; Humans ; Personality ; Depression/etiology* ; China/epidemiology* ; Personality Inventory ; Surveys and Questionnaires

Objective: To determine the accuracy, sensitivity, specificity, positive predictive values, and use of the Reflexive Behavioral “Baah” Test and NHSRC Level 1 and Level 2 Questionnaires in detecting hearing impairment in rural health communities. Methods: This was a prospective cross-sectional study conducted at the rural health unit of five municipalities. Infants less than six months old were screened for hearing impairments using the OAE device (standard), the Reflexive Behavioral “Baah” test, and the NHSRC Level 1 and Level 2 Questionnaires. The “Baah” test and the filling out of the NHSRC Level 1 and 2 Questionnaires were done by trained health workers while OAE was done by an audiologist. Results: A total of 103 babies, with a mean age of 41.9 days at the time of testing and a male to female ratio of 1.02:1 (52 males and 51 females) were tested. A hearing impairment prevalence of 4.9% (5 out of 103) was noted. The “Baah” test showed to have a sensitivity of 60%, specificity of 97.96% and an accuracy rate of 96.12%. The NHSRC Level 1 and Level 2 Questionnaires showed sensitivity, specificity, and accuracy rate of 40%, 67.35% and 66.02%, respectively for the former and 40%, 85.71% and 83.50%, respectively for the latter. Analysis of the complimentary use of the NHSRC Level 1 and Level 2 Questionnaires with the “Baah” test also showed no significant improvement to using the “Baah” test as a stand-alone screening tool with sensitivity, specificity, and accuracy of 60%, 67.35% and 66.99%, respectively for the “Baah” test and Level 1 Questionnaire, and 60%, 83.67% and 82.52%, respectively for the “Baah” test and Level 2 Questionnaire. Conclusion The Reflexive Behavioral “Baah” test is a potentially accurate, sensitive, specific, and acceptable standalone hearing screening test to identify infants with higher risk of hearing impairment in the rural health community setting. On the other hand, the use of the NHSRC Questionnaires as a stand-alone or complementary tool for “Baah” is unnecessary as it results to more false positive and false negative results.
Surveys and Questionnaires ; Infant, Newborn ; Audiometry ; Behavior Rating Scale