A5036267284- Multiple Sclerosis Research Studies
- scientometrics and bibliometrics research
- Dementia and Cognitive Impairment Research
- Academic Writing and Publishing
- Sex and Gender in Healthcare
- Statistical Methods and Inference
- LGBTQ Health, Identity, and Policy
- Functional Brain Connectivity Studies
- Digital Imaging for Blood Diseases
- Gender Roles and Identity Studies
- Advanced Neuroimaging Techniques and Applications
- Systemic Lupus Erythematosus Research
- Advanced MRI Techniques and Applications
- Statistical Methods and Bayesian Inference
- Complex Network Analysis Techniques
- RNA regulation and disease
- Maternal Mental Health During Pregnancy and Postpartum
- Mosquito-borne diseases and control
- Climate Change Communication and Perception
- Racial and Ethnic Identity Research
- Bayesian Methods and Mixture Models
- Meta-analysis and systematic reviews
- Medical Image Segmentation Techniques
- Statistical Methods in Clinical Trials
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Columbia University
2021-2025
New York State Psychiatric Institute
2020-2024
New York Psychoanalytic Society and Institute
2020-2024
Federation of American Scientists
2023-2024
Columbia University Irving Medical Center
2020-2023
University of Pennsylvania
2015-2020
Penn Center for AIDS Research
2019-2020
Haverford College
2014
Discrimination against racial and ethnic minority groups exists in the academy, associated biases impact hiring promotion, publication rates, grant funding, awards. Precisely how bias impacts manner which scientific community engages with ideas of academics has yet to be fully elucidated. Citations are a marker such engagement, as well currency used attain career milestones. Here we assess extent drivers imbalance reference lists papers published five top neuroscience journals over last 25...
While the COVID-19 pandemic in United States disproportionately impacts marginalized communities, no empiric US-based research has focused specifically on transgender and gender nonbinary (TGNB) people. We examined pandemic's impact an established longitudinal cohort of TGNB individuals (N = 208) by administering online survey between March-June 2020. used multivariable linear regression to examine reduced LGBTQ/TGNB community support disruptions gender-affirming health care as predictors...
In disciplines outside of communication, papers with women as first and last (i.e. senior) authors attract fewer citations than men in those positions. Using data from 14 communication journals 1995 to 2018, we find that reference lists include more author, would be expected if gender were unrelated referencing. This imbalance is driven largely by the citation practices slowly decreasing over time. The structure men's co-authorship networks partly accounts for observed over-citation other...
Like many scientific disciplines, neuroscience has increasingly attempted to confront pervasive gender imbalances within the field. While much of conversation centered around publishing and conference participation, recent research in other fields called attention prevalence bias citation practices. Because downstream effects that citations can have on visibility career advancement, understanding eliminating practices is vital for addressing inequity a community. In this study, we sought...
Background: Memory decline is common in multiple sclerosis (MS), although pathophysiological mechanisms are not fully understood. Objective: The objective was to investigate the relationship of changes structural and functional neuroimaging markers memory over 3-year follow-up. Methods: Participants with MS underwent cognitive evaluation structural, diffusion, 3T magnetic resonance imaging (MRI) scans at baseline Changes metrics from follow-up were compared between stable groups. Our...
Small vessel cerebrovascular disease, visualized as white matter hyperintensities (WMH), is associated with cognitive decline and risk of clinical Alzheimer disease (AD). One way in which small could contribute to AD through the promotion neurodegeneration; effect on neurodegeneration may differ across racial ethnic groups.
How often a researcher is cited usually plays decisive role in that person's career advancement, because academic institutions use citation metrics, either explicitly or implicitly, to estimate research impact and productivity. Research has shown, however, patterns practices are affected by various biases, including the prestige of authors being their gender, race, nationality, whether self-attested perceived. Some commentators have proposed researchers can address biases related social...
We leveraged a unique school-based longitudinal cohort-the Project Talent Aging Study-to examine whether attending higher quality schools is associated with cognitive performance among older adults in the United States (mean age = 74.8). Participants (n 2,289) completed telephone neurocognitive testing. Six indicators of high school quality, reported by principals at time schooling, were predictors respondents' function 58 years later. To account for school-clustering, multilevel linear and...
<h3>BACKGROUND AND PURPOSE:</h3> The central vein sign is a promising MR imaging diagnostic biomarker for multiple sclerosis. Recent studies have demonstrated that patients with MS higher proportions of white matter lesions the compared those diseases mimic on imaging. However, clinical application as limited by interrater differences in adjudication well time burden required determination each lesion patient9s full scan. In this study, we present an automated technique detection lesions....
We propose a general Bayesian nonparametric (BNP) approach to causal inference in the point treatment setting. The joint distribution of observed data (outcome, treatment, and confounders) is modeled using an enriched Dirichlet process. combination model assumptions allows us identify any type effect-differences, ratios, or quantile effects, either marginally for subpopulations interest. proposed BNP well-suited problems, as it does not require parametric about confounders naturally leads...
<h3>BACKGROUND AND PURPOSE:</h3> Lesion load is a common biomarker in multiple sclerosis, yet it has historically shown modest association with clinical outcome. count, which encapsulates the natural history of lesion formation and thought to provide complementary information, difficult assess patients confluent (ie, spatially overlapping) lesions. We introduce statistical technique for cross-sectionally counting pathologically distinct <h3>MATERIALS METHODS:</h3> MR imaging was used...
The presence of a paramagnetic rim around white matter lesion has recently been shown to be hallmark particular pathological type multiple sclerosis lesion. Increased prevalence these lesions is associated with more severe disease course in MS, but manual identification time-consuming. We present method automatically detect PRLs on 3T T2*-phase images. T1-weighted, T2-FLAIR, and MRI the brain were collected at for 19 subjects MS. images then processed automated segmentation, center...
This prospective study seeks to examine the utility of subjective cognitive decline (SCD) as a marker future progression dementia in community-based cohort non-Latinx White, Black, and Latinx individuals. Debate surrounds SCD, perception one's cognition before such impairment is evident traditional neuropsychological assessments, an early indicator impending Alzheimer disease. Unfortunately, most studies examining SCD have been conducted White samples commonly exclude groups individuals...
Pervasive gender imbalances exist in the field of communication. In disciplines outside communication, papers with women as first and last (i.e., senior) authors attract fewer citations than men those positions. This disparity is partially explained by men’s co-authorship networks. The extent to which explains over-citation communication has not yet been quantified. Using data from 14 journals 1995 2018, we find that reference lists include more author would be expected if were unrelated...
Abstract Brain predicted age difference, or BrainPAD, compares chronological to an estimate derived by applying machine learning (ML) MRI brain data. BrainPAD studies in youth have been relatively limited, often using only a single modality ML algorithm. Here, we use multimodal with stacked ensemble approach that iteratively applies several algorithms (AutoML). Eligible participants the Healthy Network ( N = 489) were split into training and test sets. Morphometry estimates, white matter...