Demetrius Maraganore
Overview
Explore the profile of Demetrius Maraganore including associated specialties, affiliations and a list of published articles.
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23
Citations
614
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Recent Articles
1.
Chase B, Frigerio R, Rubin S, Semenov I, Meyers S, Mark A, et al.
J Clin Med
. 2025 Jan;
14(2).
PMID: 39860542
: Migraine is a common neurological disorder with highly variable characteristics. While genome-wide association studies have identified genetic risk factors that implicate underlying pathways, the influence of genetic susceptibility on...
2.
Chase B, Frigerio R, Yucus C, Patel S, Maraganore D, Sanders A, et al.
J Lipid Res
. 2024 Nov;
66(1):100714.
PMID: 39586400
In this retrospective, case-control study, we tested the hypothesis that blood-lipid concentrations during the decade prior to cognitive symptom onset can inform risk prediction for Alzheimer's disease (AD) and stable...
3.
Reyes Z, Stovall M, Punyamurthula S, Longo M, Maraganore D, Solch-Ottaiano R
J Neurol Sci
. 2024 Nov;
467:123295.
PMID: 39550783
Long COVID, also known as Post COVID-19 condition by the World Health Organization or Post-Acute Sequelae of SARS-CoV-2 infection (PASC), is defined as the development of symptoms such as post-exertional...
4.
Chase B, Frigerio R, Rubin S, Franada T, Semenov I, Meyers S, et al.
J Clin Med
. 2024 Nov;
13(21).
PMID: 39518622
: Genome-wide association studies (GWASs) demonstrate a complex genetic landscape for migraine risk. Migraine polygenic risk scores (PRSs) developed from GWAS data may have utility for predicting disease course. We...
5.
Chase B, Frigerio R, Yucus C, Patel S, Maraganore D, Sanders A, et al.
medRxiv
. 2024 Oct;
PMID: 39399044
To assess the relationship between lipids and cognitive dysfunction, we retrospectively analyzed blood-lipid levels in clinically well-characterized individuals with stable mild cognitive impairment (MCI) or Alzheimer's disease (AD) over the...
6.
Ying G, Perez-Lao A, Adrien T, Maraganore D, Marra D, Smith G
Clin Neuropsychol
. 2024 Jul;
39(2):439-450.
PMID: 38997666
To (1) examine the distribution of Telephone Interview for Cognitive Status modified (TICS-m) scores in oldest-old individuals (age 85 and above) identified as cognitively healthy by a previously validated electronic...
7.
Chase B, Semenov I, Rubin S, Meyers S, Mark A, Makhlouf T, et al.
Headache
. 2023 Dec;
64(1):68-92.
PMID: 38071464
Objective: To evaluate response to anti-calcitonin gene-related peptide (CGRP) migraine preventives in a real-world community cohort of persons living with migraine and to identify clinical and genetic characteristics associated with...
8.
Chen T, Multala E, Kearns P, Delashaw J, Dumont A, Maraganore D, et al.
BMJ Neurol Open
. 2023 Nov;
5(2):e000530.
PMID: 37936648
Background And Objectives: ChatGPT has shown promise in healthcare. To assess the utility of this novel tool in healthcare education, we evaluated ChatGPT's performance in answering neurology board exam questions....
9.
Chase B, Krueger R, Pavelka L, Chung S, Aasly J, Dardiotis E, et al.
Front Aging Neurosci
. 2023 Oct;
15:1240971.
PMID: 37842125
Background: The severity, progression, and outcomes of motor and non-motor symptoms in Parkinson's disease (PD) are quite variable. Following PD cohorts holds promise for identifying predictors of disease severity and...
10.
Li Q, Yang X, Xu J, Guo Y, He X, Hu H, et al.
Alzheimers Dement
. 2023 Feb;
19(8):3506-3518.
PMID: 36815661
Introduction: This study aims to explore machine learning (ML) methods for early prediction of Alzheimer's disease (AD) and related dementias (ADRD) using the real-world electronic health records (EHRs). Methods: A...