Elizabeth Mamourian
Overview
Explore the profile of Elizabeth Mamourian including associated specialties, affiliations and a list of published articles.
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25
Citations
518
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Recent Articles
1.
Kazerooni A, Akbari H, Hu X, Bommineni V, Grigoriadis D, Toorens E, et al.
Commun Med (Lond)
. 2025 Mar;
5(1):55.
PMID: 40025245
Background: Glioblastoma is a highly heterogeneous brain tumor, posing challenges for precision therapies and patient stratification in clinical trials. Understanding how genetic mutations influence tumor imaging may improve patient management...
2.
Sharo C, Zhang J, Zhai T, Bao J, Garcia-Epelboim A, Mamourian E, et al.
Targets (Basel)
. 2025 Feb;
2(4):446-469.
PMID: 39897171
Alzheimer's disease is a neurodegenerative disease that continues to have a rising number of cases. While extensive research has been conducted in the last few decades, only a few drugs...
3.
Akbari H, Bakas S, Sako C, Kazerooni A, Villanueva-Meyer J, Garcia J, et al.
Neuro Oncol
. 2024 Dec;
PMID: 39665363
Background: Glioblastoma is the most aggressive adult primary brain cancer, characterized by significant heterogeneity, posing challenges for patient management, treatment planning, and clinical trial stratification. Methods: We developed a highly...
4.
Antoniades M, Srinivasan D, Wen J, Erus G, Abdulkadir A, Mamourian E, et al.
EBioMedicine
. 2024 Oct;
109():105399.
PMID: 39437659
Background: Brain ageing is highly heterogeneous, as it is driven by a variety of normal and neuropathological processes. These processes may differentially affect structural and functional brain ageing across individuals,...
5.
Wen J, Yang Z, Nasrallah I, Cui Y, Erus G, Srinivasan D, et al.
Transl Psychiatry
. 2024 Oct;
14(1):420.
PMID: 39368996
Alzheimer's disease (AD) is associated with heterogeneous atrophy patterns. We employed a semi-supervised representation learning technique known as Surreal-GAN, through which we identified two latent dimensional representations of brain atrophy...
6.
Yang Z, Wen J, Erus G, Govindarajan S, Melhem R, Mamourian E, et al.
Nat Med
. 2024 Aug;
30(10):3015-3026.
PMID: 39147830
Brain aging process is influenced by various lifestyle, environmental and genetic factors, as well as by age-related and often coexisting pathologies. Magnetic resonance imaging and artificial intelligence methods have been...
7.
Wen J, Tian Y, Skampardoni I, Yang Z, Cui Y, Anagnostakis F, et al.
Nat Aging
. 2024 Jun;
4(9):1290-1307.
PMID: 38942983
Investigating the genetic underpinnings of human aging is essential for unraveling the etiology of and developing actionable therapies for chronic diseases. Here, we characterize the genetic architecture of the biological...
8.
Wen J, Zhao B, Yang Z, Erus G, Skampardoni I, Mamourian E, et al.
Nat Commun
. 2024 Mar;
15(1):2604.
PMID: 38521789
The complex biological mechanisms underlying human brain aging remain incompletely understood. This study investigated the genetic architecture of three brain age gaps (BAG) derived from gray matter volume (GM-BAG), white...
9.
Guo J, Kazerooni A, Toorens E, Akbari H, Yu F, Sako C, et al.
Sci Rep
. 2024 Feb;
14(1):4922.
PMID: 38418494
Glioblastoma is a highly heterogeneous disease, with variations observed at both phenotypical and molecular levels. Personalized therapies would be facilitated by non-invasive in vivo approaches for characterizing this heterogeneity. In...
10.
Skampardoni I, Nasrallah I, Abdulkadir A, Wen J, Melhem R, Mamourian E, et al.
JAMA Psychiatry
. 2024 Feb;
81(5):456-467.
PMID: 38353984
Importance: Brain aging elicits complex neuroanatomical changes influenced by multiple age-related pathologies. Understanding the heterogeneity of structural brain changes in aging may provide insights into preclinical stages of neurodegenerative diseases....