- Functional Brain Connectivity Studies
- Dementia and Cognitive Impairment Research
- Advanced Neuroimaging Techniques and Applications
- Memory and Neural Mechanisms
- Cognitive Abilities and Testing
- Neural and Behavioral Psychology Studies
- Alzheimer's disease research and treatments
- Genetics and Neurodevelopmental Disorders
- Mental Health Research Topics
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Retinal Imaging and Analysis
- Cerebrovascular and Carotid Artery Diseases
- Drug-Induced Ocular Toxicity
- Retinal Diseases and Treatments
- Ophthalmology and Eye Disorders
- Neural dynamics and brain function
- Cardiovascular Health and Disease Prevention
- Cerebral Venous Sinus Thrombosis
- Attention Deficit Hyperactivity Disorder
- Parkinson's Disease Mechanisms and Treatments
- Glaucoma and retinal disorders
National University of Singapore
2016-2025
National University Health System
2023
National Neuroscience Institute
2016-2020
Duke-NUS Medical School
2016-2018
Mixed vascular and neurodegenerative dementia, such as Alzheimer's disease (AD) with concomitant cerebrovascular disease, has emerged the leading cause of age-related cognitive impairment. The brain white matter (WM) microstructural changes in neurodegeneration well-documented by diffusion tensor imaging (DTI) can originate from tissue or extracellular free water changes. differential AD without especially normal-appearing WM, remain largely unknown. To cover these gaps, we aimed to...
Network-sensitive neuroimaging methods have been used to characterize large-scale brain network degeneration in Alzheimer's disease and its prodrome. However, few studies investigated the combined effect of cerebrovascular on degeneration. Our study sought examine intrinsic functional connectivity structural covariance changes 235 prodromal clinical patients with without disease. We focused particularly two higher-order cognitive networks-the default mode executive control network. found...
Both healthy and pathological aging due to Alzheimer's disease (AD) are associated with decreased brain grey matter volume (GMV) disrupted white (WM) microstructure. Thinner macular ganglion cell-inner plexiform layer (GC-IPL) measured by spectral-domain optical coherence tomography has been reported in patients AD mild cognitive impairment. Emerging evidence suggested a link between thinner GC-IPL lower GMV subjects no dementia using region-of-interest-based approach. However, it remains...
Brain age has emerged as a powerful tool to understand neuroanatomical aging and its link health outcomes like cognition. However, there remains lack of studies investigating the rate brain relationship Furthermore, most models are trained tested on cross-sectional data from primarily Caucasian, adult participants. It is thus unclear how well these generalize non-Caucasian participants, especially children. Here, we previously published deep learning model Singaporean elderly participants...
Abstract Evidences suggested that both corpus callosum (CC) degeneration and alternations of homotopic inter-hemispheric functional connectivity (FC) are present in Alzheimer’s disease (AD). However, the associations between region-specific CC FC their relationships with memory deficits AD remain uncharacterized. We hypothesized selective is associated impairment amnestic mild cognitive (aMCI), which mediated by dysconnectivity. Using structural magnetic resonance imaging (MRI) task-free...
To determine whether white matter network disruption mediates the association between MRI markers of cerebrovascular disease (CeVD) and cognitive impairment. Participants (n = 253, aged ≥60 years) from Epidemiology Dementia in Singapore study underwent neuropsychological assessments MRI. CeVD were defined as lacunes, hyperintensities (WMH), microbleeds, cortical microinfarcts, infarcts intracranial stenosis (ICS). White microstructure damage was measured fractional anisotropy mean...
There is an increasing awareness of the "Heart-Brain Connection," whereby cardiovascular function connected with cognition. Diffusion-MRI studies reported higher brain free water (FW) was associated cerebrovascular disease (CeVD) and cognitive impairment. In this study, we investigated whether FW related to blood biomarkers mediated associations between cognition.Participants recruited from 2 Singapore memory clinics 2010 2015 underwent collection samples neuroimaging at baseline...
As a potential preclinical stage of Alzheimer's dementia, subjective cognitive decline (SCD) reveals higher risk future and conversion to dementia. However, it has not been clear whether SCD status increases the clinical progression older adults in context amyloid deposition, cerebrovascular disease (CeVD), psychiatric symptoms. We identified 99 normal controls (NC), 15 individuals who developed mild impairment next 2 years (P-SCD), 54 did (S-SCD) from ADNI database with both baseline 2-year...
Cerebral microinfarcts (CMIs), a novel cerebrovascular marker, are prevalent in Alzheimer's disease (AD) and associated with cognitive impairment. Nonetheless, the underlying mechanism of how CMIs influence cognition remains uncertain. We hypothesized that cortical-CMIs disrupted structural connectivity higher-order networks, leading to analyzed diffusion-MRI data 92 AD (26 cortical-CMIs) 110 impairment no dementia patients (CIND, 28 cortical-CMIs). compared network topology between groups...
Psychotic symptoms occur in a majority of schizophrenia patients and ~50% all Parkinson's disease (PD) patients. Altered grey matter (GM) structure within several brain areas networks may contribute to their pathogenesis. Little is known, however, about transdiagnostic similarities when psychotic different disorders, such as PD. The present study investigated large, multicenter sample containing 722 participants: 146 with first episode psychosis, FEP; 106 individuals at-risk mental state for...
Abstract Functional brain networks have preserved architectures in rest and task; nevertheless, previous work consistently demonstrated task-related functional reorganization. Efficient rest-to-task network reconfiguration is associated with better cognition young adults. However, aging cognitive load effects, as well contributions of intra- internetwork reconfiguration, remain unclear. We assessed age-related load-dependent effects on global network-specific between a spatial working memory...
Brain age has emerged as a powerful tool to understand neuroanatomical aging and its link health outcomes like cognition. However, there remains lack of studies investigating the rate brain relationship Furthermore, most models are trained tested on cross-sectional data from primarily Caucasian, adult participants. It is thus unclear how well these generalize non-Caucasian participants, especially children. Here, we previously published deep learning model Singaporean elderly participants...
Often we know whether an upcoming event is going to be good or bad. But does that knowledge help us regulate ensuing emotions? To address this question, exposed participants alleged social feedback was either positive negative. On half the trials, a preceding cue indicated feedback's affective quality. remaining uninformative. In two different blocks, appraised spontaneously down-regulated emotions using controlled appraisal strategy. Event-related potentials (ERPs) recorded throughout both...
Brain age has emerged as a powerful tool to understand neuroanatomical aging and its link health outcomes like cognition. However, there remains lack of studies investigating the rate brain relationship Furthermore, most models are trained tested on cross-sectional data from primarily Caucasian, adult participants. It is thus unclear how well these generalize non-Caucasian participants, especially children. Here, we previously published deep learning model Singaporean elderly participants...
Motivation: Brain age models have not been well-tested in non-Caucasian populations or longitudinally. Goal(s): We aimed to determine whether brain generalize an Asian population and longitudinal changes associate with future cognition. Approach: applied a pretrained model Singaporean elderly children, compared our results after finetuning the model, examined cross-sectional associations Results: The could be directly elderly, but was necessary for children. change gap significantly...
Motivation: Empirical findings suggest that negative symptoms of schizophrenia could be improved by cognitive training regime. Goal(s): This study seeks to (1) understand how brain network architecture supporting task performance may related and (2) whether better linked differences in intrinsic functional architecture. Approach: Schizophrenia patients underwent resting state dual-modality N-back fMRI scans. Network segregation was summarised using the system index for each network. Results:...
ABSTRACT Brain age has emerged as a powerful tool to understand neuroanatomical aging and its link health outcomes like cognition. However, there remains lack of studies investigating the rate brain relationship Furthermore, most models are trained tested on cross-sectional data from primarily Caucasian, adult participants. It is thus unclear how well these generalize non-Caucasian participants, especially children. Here, we previously published deep learning model Singaporean elderly...