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25
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Introduction
Current institution
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August 2020 - present
Publications
Publications (25)
Background
Emerging research, underscored by the UK National Institute of Health and Care Excellence and the US National Institutes of Health, suggests that age‐related hearing loss (ARHL) is linked to the development of dementias such as Alzheimer's disease (AD). In this study, we aim to investigate the neural correlates of ARHL and cognitive impa...
The contribution of age‐related structural brain changes to the well‐established link between aging and cognitive decline is not fully defined. While both age‐related regional brain atrophy and cognitive decline have been extensively studied, the specific mediating role of age‐related regional brain atrophy on cognitive functions is unclear. This s...
Purpose
Aging increases risk for hearing loss, cognitive decline, and social isolation; however, the nature of their interconnection remains unclear. This study examined the interplay between age-related hearing loss, cognitive decline, and social isolation in adults by testing the ability to understand speech in background noise, a challenge frequ...
Background
Aging is a physiological process considered as a major risk factor for most irreversible neurodegenerative diseases, including Alzheimer’s disease and Parkinson’s disease. Moreover, it is highly associated with decline in attention, memory, communication skills and many other cognitive functions as well as an overall delay in cognitive i...
Background:
Premature age-related brain changes may be influenced by physical health factors. Lower socioeconomic status (SES) is often associated with poorer physical health. In this study, we aimed to investigate the relationship between SES and premature brain aging.
Methods:
Brain age was estimated from T1-weighted images using BrainAgeR in...
Background: Cerebral hypoperfusion have been described in both severe and mild forms of symptomatic coronavirus disease 2019 (COVID-19) infection. The purpose of this study was to investigate global and regional gray matter (GM) and white matter (WM) cerebral blood flow (CBF) in asymptomatic COVID-19 infection patients compared with age-gender-race...
With increasing longevity, the incidence of age‐associated functional decline and dementia is on the rise, with Alzheimer’s disease, the third most common type of dementia, projected to affect 13.8 million people by 2050. Previous studies on aging populations have reported that while people chronologically age at the same rate, an individual’s brai...
Age‐related changes in the brain are often associated with general cognitive decline. Cognitive aging affects the ability to produce spoken language, with older adults experiencing increased difficulties in word‐finding1 and verbal fluency2,3. Neurodegenerative diseases such as Alzheimer’s disease are often attributed to an acceleration of typical...
Background:
Brain age is an MRI-derived estimate of brain tissue loss that has a similar pattern to aging-related atrophy. White matter hyperintensities (WMHs) are neuroimaging markers of small vessel disease and may represent subtle signs of brain compromise. We tested the hypothesis that WMHs are independently associated with premature brain age...
Background
Lesion-related factors are associated with severity of language impairment in persons with aphasia. The extent to which demographic and health factors predict language impairment beyond traditional cortical measures remains unknown. Identifying and understanding the contributions of factors to predictive models of severity constitutes cr...
This paper describes the public repository that houses multimodal data collected as part of Aging Brain Cohortstudy being conducted at the University of South Carolina (ABC@UofSC). Ultimately, the ABC@UofSC Repositorywill contain diverse data from cross sectional (N=800, age=20–80) and longitudinal (N=200, age=60–80,interesting interval=4 years) sa...
Background
Major depressive disorder (MDD) treatment is characterized by low remission rate and often involves weeks to months of treatment. Identification of pretreatment biomarkers of response may play a critical role in novel drug development, in enhanced prognostic predictions, and perhaps in providing more personalized medicine. Using a networ...
Over the past decade, various N-methyl-D-aspartate modulators have failed in clinical trials, underscoring the challenges of developing novel rapid-acting antidepressants based solely on the receptor or regional targets of ketamine. Thus, identifying the effect of ketamine on the brain circuitry and networks is becoming increasingly critical. In th...
Over the past decade, various N-Methyl-D-Aspartate modulators have failed in clinical trials, underscoring the challenges of developing novel rapid-acting antidepressants based solely on the receptor or regional targets of ketamine. Thus, identifying the effect of ketamine on the brain circuitry and networks is becoming increasingly critical. In th...
More than six decades have passed since the discovery of monoaminergic antidepressants. Yet, it remains a mystery why these drugs take weeks to months to achieve therapeutic effects, although their monoaminergic actions are present rapidly after treatment. In an attempt to solve this mystery, rather than studying the acute neurochemical effects of...
Background:
Considering the slow-acting properties of traditional antidepressants, an important challenge in the field is the identification of early treatment response biomarkers. Reduced cortical thickness has been reported in neuroimaging studies of depression. However, little is known whether antidepressants reverse this abnormality. In this b...
We investigated the neural correlates of pleasure induced by listening to highly pleasant and neutral musical excerpts using electroencephalography (EEG). Power spectrum analysis of EEG data showed a distinct gradual change in the power of low-frequency oscillations in response to highly pleasant, but not neutral, musical excerpts. Specifically, li...
Background:
Better understanding of the neurobiology of posttraumatic stress disorder (PTSD) may be critical to developing novel, effective therapeutics. Here, we conducted a data-driven investigation using a well-established, graph-based topological measure of nodal strength to determine the extent of functional dysconnectivity in a cohort of act...
Background:
In soldiers with posttraumatic stress disorder (PTSD), symptom provocation was found to induce increased connectivity within the salience network, as measured by functional magnetic resonance imaging (fMRI) and global brain connectivity with global signal regression (GBCr). However, it is unknown whether these GBCr disturbances would n...
Phase synchrony among cortical brain regions is a key aspect of the working memory process. In this study we utilized phase synchrony analysis of EEG signals to construct brain networks and investigate the rest and working memory states of the brain. The maintenance period of working memory demonstrated higher global and local phase synchronization...
Questions
Question (1)
I have run Melodic ICA on 4D resting state data of a group of subjects (56). Now I want to view spatial maps, time series and power spectrum for each component (25 components totally). I am using fsleyes on Melodic mode however voxel intensity across all components is shown in time series instead of the component time series for the current component. It is the case for power spectrum plot too. In plot control panel I have marked two available options: pixdim and component time courses for melodic images. I attached an image showing spatial maps, time series and power spectrum plots. Does anyone know how I can plot time series and power spectrum for each component not each voxel?
Any suggestion and comment is appreciated.
