Functional MRI Correlates of Sleep Quality in HIV

Arun Venkataraman,1 Yuchuan Zhuang,2 Jennifer Marsella,3 Madalina E Tivarus,4,5 Xing Qiu,6 Lu Wang,6 Jianhui Zhong,1,4 Giovanni Schifitto3,4 1Department of Physics and Astronomy, University of Rochester, Rochester, NY, USA; 2Department of Electrical and Computer Engineering, University of Rochester,...

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Autores principales:	Venkataraman A, Zhuang Y, Marsella J, Tivarus ME, Qiu X, Wang L, Zhong J, Schifitto G
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2021
Materias:	hiv fmri sleep quality functional connectivity Psychiatry RC435-571 Neurophysiology and neuropsychology QP351-495
Acceso en línea:	https://doaj.org/article/30ea31763baf4965ab74c5838db1dc90
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spelling	oai:doaj.org-article:30ea31763baf4965ab74c5838db1dc902021-12-02T12:12:41ZFunctional MRI Correlates of Sleep Quality in HIV1179-1608https://doaj.org/article/30ea31763baf4965ab74c5838db1dc902021-03-01T00:00:00Zhttps://www.dovepress.com/functional-mri-correlates-of-sleep-quality-in-hiv-peer-reviewed-article-NSShttps://doaj.org/toc/1179-1608Arun Venkataraman,1 Yuchuan Zhuang,2 Jennifer Marsella,3 Madalina E Tivarus,4,5 Xing Qiu,6 Lu Wang,6 Jianhui Zhong,1,4 Giovanni Schifitto3,4 1Department of Physics and Astronomy, University of Rochester, Rochester, NY, USA; 2Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA; 3Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA; 4Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA; 5Department of Neuroscience, University of Rochester Medical Center, Rochester, NY, USA; 6Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USACorrespondence: Arun Venkataraman Email Arun_Venkataraman@urmc.rochester.eduObjective: To examine resting-state functional MRI (rs-fMRI) networks related to sleep in the context of HIV infection.Methods: rs-fMRI data were collected in 40 HIV-infected (HIV+) individuals at baseline (treatment-naive), 12 week (post-treatment) and one year timepoints. A group of 50 age-matched HIV-negative (HIV-) individuals were also imaged at baseline and one year timepoints. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was administered at all timepoints. Using group independent component analysis (ICA), maps of functional networks were generated from fMRI data; from these, sleep-related networks were selected. A generalized linear model (GLM) was used to analyze if these networks were significantly associated with the PSQI score, and if this relationship was influenced by HIV status/treatment or timepoint.Results: HIV+ individuals had significantly lower PSQI score after treatment (p=0.022). Networks extracted from group ICA analysis included the anterior and posterior default mode network (DMN), central executive network (CEN), bilateral frontoparietal networks (FPNs), and the anterior cingulate cortex salience network (ACC SN). We found the posterior DMN, right FPN, and ACC SN GLMs showed significantly higher goodness-of-fit after incorporating PSQI data (p = 0.0204, 0.044, 0.044, respectively). Furthermore, the correlation between ACC SN and posterior DMN connectivity was significantly decreased in the HIV+ cohort.Conclusion: Functional networks such as the DMN, FPN, CEN, and ACC SN are altered in poor sleep, as measured by the PSQI score. Furthermore, the relationship between these networks and PSQI is different in the HIV+ and HIV- populations.Keywords: HIV, fMRI, sleep quality, functional connectivityVenkataraman AZhuang YMarsella JTivarus MEQiu XWang LZhong JSchifitto GDove Medical Pressarticlehivfmrisleep qualityfunctional connectivityPsychiatryRC435-571Neurophysiology and neuropsychologyQP351-495ENNature and Science of Sleep, Vol Volume 13, Pp 291-301 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	hiv fmri sleep quality functional connectivity Psychiatry RC435-571 Neurophysiology and neuropsychology QP351-495
spellingShingle	hiv fmri sleep quality functional connectivity Psychiatry RC435-571 Neurophysiology and neuropsychology QP351-495 Venkataraman A Zhuang Y Marsella J Tivarus ME Qiu X Wang L Zhong J Schifitto G Functional MRI Correlates of Sleep Quality in HIV
description	Arun Venkataraman,1 Yuchuan Zhuang,2 Jennifer Marsella,3 Madalina E Tivarus,4,5 Xing Qiu,6 Lu Wang,6 Jianhui Zhong,1,4 Giovanni Schifitto3,4 1Department of Physics and Astronomy, University of Rochester, Rochester, NY, USA; 2Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA; 3Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA; 4Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA; 5Department of Neuroscience, University of Rochester Medical Center, Rochester, NY, USA; 6Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USACorrespondence: Arun Venkataraman Email Arun_Venkataraman@urmc.rochester.eduObjective: To examine resting-state functional MRI (rs-fMRI) networks related to sleep in the context of HIV infection.Methods: rs-fMRI data were collected in 40 HIV-infected (HIV+) individuals at baseline (treatment-naive), 12 week (post-treatment) and one year timepoints. A group of 50 age-matched HIV-negative (HIV-) individuals were also imaged at baseline and one year timepoints. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was administered at all timepoints. Using group independent component analysis (ICA), maps of functional networks were generated from fMRI data; from these, sleep-related networks were selected. A generalized linear model (GLM) was used to analyze if these networks were significantly associated with the PSQI score, and if this relationship was influenced by HIV status/treatment or timepoint.Results: HIV+ individuals had significantly lower PSQI score after treatment (p=0.022). Networks extracted from group ICA analysis included the anterior and posterior default mode network (DMN), central executive network (CEN), bilateral frontoparietal networks (FPNs), and the anterior cingulate cortex salience network (ACC SN). We found the posterior DMN, right FPN, and ACC SN GLMs showed significantly higher goodness-of-fit after incorporating PSQI data (p = 0.0204, 0.044, 0.044, respectively). Furthermore, the correlation between ACC SN and posterior DMN connectivity was significantly decreased in the HIV+ cohort.Conclusion: Functional networks such as the DMN, FPN, CEN, and ACC SN are altered in poor sleep, as measured by the PSQI score. Furthermore, the relationship between these networks and PSQI is different in the HIV+ and HIV- populations.Keywords: HIV, fMRI, sleep quality, functional connectivity
format	article
author	Venkataraman A Zhuang Y Marsella J Tivarus ME Qiu X Wang L Zhong J Schifitto G
author_facet	Venkataraman A Zhuang Y Marsella J Tivarus ME Qiu X Wang L Zhong J Schifitto G
author_sort	Venkataraman A
title	Functional MRI Correlates of Sleep Quality in HIV
title_short	Functional MRI Correlates of Sleep Quality in HIV
title_full	Functional MRI Correlates of Sleep Quality in HIV
title_fullStr	Functional MRI Correlates of Sleep Quality in HIV
title_full_unstemmed	Functional MRI Correlates of Sleep Quality in HIV
title_sort	functional mri correlates of sleep quality in hiv
publisher	Dove Medical Press
publishDate	2021
url	https://doaj.org/article/30ea31763baf4965ab74c5838db1dc90
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Functional MRI Correlates of Sleep Quality in HIV

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