Sarah McEwen
Overview
Explore the profile of Sarah McEwen including associated specialties, affiliations and a list of published articles.
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33
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1833
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Recent Articles
1.
Louis R, Weinel L, Burrell A, Gardner B, McEwen S, Chapman M, et al.
Aust Crit Care
. 2023 Jun;
37(3):414-421.
PMID: 37391287
Background: Nutritional needs of trauma patients admitted to the intensive care unit may differ from general critically ill patients, but most current evidence is based on large clinical trials recruiting...
2.
Iraji A, Faghiri A, Fu Z, Rachakonda S, Kochunov P, Belger A, et al.
Netw Neurosci
. 2022 Jun;
6(2):357-381.
PMID: 35733435
We introduce an extension of independent component analysis (ICA), called multiscale ICA, and design an approach to capture dynamic functional source interactions within and between multiple spatial scales. Multiscale ICA...
3.
Faghiri A, Damaraju E, Belger A, Ford J, Mathalon D, McEwen S, et al.
Front Neurosci
. 2021 Apr;
15:621716.
PMID: 33927587
Background: A number of studies in recent years have explored whole-brain dynamic connectivity using pairwise approaches. There has been less focus on trying to analyze brain dynamics in higher dimensions...
4.
Ventura J, McEwen S, Subotnik K, Hellemann G, Ghadiali M, Rahimdel A, et al.
Early Interv Psychiatry
. 2020 Feb;
15(1):213-216.
PMID: 32056388
Introduction: Elevated levels of pro-inflammatory cytokines have been reported in meta-analyses of multi-episode schizophrenia patients when compared to controls. However, little is known about whether these same relationships are present...
5.
Faghiri A, Iraji A, Damaraju E, Belger A, Ford J, Mathalon D, et al.
J Neurosci Methods
. 2020 Jan;
334:108600.
PMID: 31978489
Background: Dynamic functional network connectivity (dFNC) of the brain has attracted considerable attention recently. Many approaches have been suggested to study dFNC with sliding window Pearson correlation (SWPC) being the...
6.
Falakshahi H, Vergara V, Liu J, Mathalon D, Ford J, Voyvodic J, et al.
IEEE Trans Biomed Eng
. 2020 Jan;
67(9):2572-2584.
PMID: 31944934
Objective: Multimodal measurements of the same phenomena provide complementary information and highlight different perspectives, albeit each with their own limitations. A focus on a single modality may lead to incorrect...
7.
Petkus A, Filoteo J, Schiehser D, Gomez M, Hui J, Jarrahi B, et al.
Int J Geriatr Psychiatry
. 2020 Jan;
35(4):396-404.
PMID: 31894601
Objective: Mild cognitive impairment (MCI) and psychiatric symptoms (anxiety, depression, and apathy) are common in Parkinson's disease (PD). While studies have supported the association between psychiatric symptoms and cognitive performance...
8.
Vergara V, Damaraju E, Turner J, Pearlson G, Belger A, Mathalon D, et al.
Front Psychiatry
. 2019 Aug;
10:499.
PMID: 31396111
Functional connectivity is one of the most widely used tools for investigating brain changes due to schizophrenia. Previous studies have identified abnormal functional connectivity in schizophrenia patients at the resting...
9.
Nakahara S, Turner J, Calhoun V, Lim K, Mueller B, Bustillo J, et al.
Psychol Med
. 2019 Jun;
50(8):1267-1277.
PMID: 31155012
Background: Schizophrenia is associated with robust hippocampal volume deficits but subregion volume deficits, their associations with cognition, and contributing genes remain to be determined. Methods: Hippocampal formation (HF) subregion volumes...
10.
Cortical abnormalities in youth at clinical high-risk for psychosis: Findings from the NAPLS2 cohort
Chung Y, Allswede D, Addington J, Bearden C, Cadenhead K, Cornblatt B, et al.
Neuroimage Clin
. 2019 Jun;
23:101862.
PMID: 31150956
In a recent machine learning study classifying "brain age" based on cross-sectional neuroanatomical data, clinical high-risk (CHR) individuals were observed to show deviation from the normal neuromaturational pattern, which in...