Online ISSN 2653-4983
JOURNAL of MULTISCALE NEUROSCIENCE
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Abstract
Principal component analysis on the effect of early morning
awakening in major depressive disorder
Julia R. Higdon and Jonghoon Kang (2024) Principal component analysis on the effect of early morning awakening in major depressive disorder. Journal of Multiscale Neuroscience 3(2), 94-97.
DOI: https://doi.org/10.56280/1620176620
BRIEF REPORT
Sleep disturbance is one of the most prevalent symptoms associated with Major Depressive Disorder (MDD). A recent article (Wu et al., 2022, Journal of Multiscale Neuroscience 1, 133-139) explored the significant relationship between early morning awakening (EMA), a type of sleep disturbance, and recovery in MDD patients. In the paper, the authors examined the relationship between EMA and the treatment of MDD with twelve neuropsychological parameters. The authors employed two univariate statistical techniques, students’ t-test and ANOVA, to analyze their data. While their analysis derived a meaningful conclusion that EMA may result in a statistically and clinically significant delay in recovery, we found that a multivariate statistical technique, principal component analysis (PCA), extracted additional quantitative information from their study. In this paper, we present quantitative features in the interaction between EMA and the treatment of MDD obtained from PCA.
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Keywords: Sleep disturbance; early morning awakening; major depressive disorder; cognition; psychiatry; principal component analysis
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Conflict of Interest
The authors declare no conflict of interest
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Copyright: © 2024 The Author(s). Published by Neural Press.
This is an open access article distributed under the terms and conditions of the CC BY 4.0 license.
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