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Quan P, Mao T, Zhang X, Wang R, Lei H, Wang J, Liu W, Dinges DF, Jiang C, Rao H. Locus coeruleus microstructural integrity is associated with vigilance vulnerability to sleep deprivation. Hum Brain Mapp 2024; 45:e70013. [PMID: 39225144 PMCID: PMC11369684 DOI: 10.1002/hbm.70013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 07/29/2024] [Accepted: 08/17/2024] [Indexed: 09/04/2024] Open
Abstract
Insufficient sleep compromises cognitive performance, diminishes vigilance, and disrupts daily functioning in hundreds of millions of people worldwide. Despite extensive research revealing significant variability in vigilance vulnerability to sleep deprivation, the underlying mechanisms of these individual differences remain elusive. Locus coeruleus (LC) plays a crucial role in the regulation of sleep-wake cycles and has emerged as a potential marker for vigilance vulnerability to sleep deprivation. In this study, we investigate whether LC microstructural integrity, assessed by fractional anisotropy (FA) through diffusion tensor imaging (DTI) at baseline before sleep deprivation, can predict impaired psychomotor vigilance test (PVT) performance during sleep deprivation in a cohort of 60 healthy individuals subjected to a rigorously controlled in-laboratory sleep study. The findings indicate that individuals with high LC FA experience less vigilance impairment from sleep deprivation compared with those with low LC FA. LC FA accounts for 10.8% of the variance in sleep-deprived PVT lapses. Importantly, the relationship between LC FA and impaired PVT performance during sleep deprivation is anatomically specific, suggesting that LC microstructural integrity may serve as a biomarker for vigilance vulnerability to sleep loss.
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Affiliation(s)
- Peng Quan
- The First Dongguan Affiliated Hospital, School of Humanities and ManagementGuangdong Medical UniversityDongguanChina
- Center for Functional Neuroimaging, Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Tianxin Mao
- Center for Functional Neuroimaging, Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain‐Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and ManagementShanghai International Studies UniversityShanghaiChina
| | - Xiaocui Zhang
- Center for Functional Neuroimaging, Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Ruosi Wang
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain‐Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and ManagementShanghai International Studies UniversityShanghaiChina
| | - Hui Lei
- Center for Functional Neuroimaging, Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Jieqiong Wang
- Center for Functional Neuroimaging, Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Wanting Liu
- Center for Functional Neuroimaging, Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - David F. Dinges
- Chronobiology and Sleep InstituteUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Caihong Jiang
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain‐Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and ManagementShanghai International Studies UniversityShanghaiChina
| | - Hengyi Rao
- Center for Functional Neuroimaging, Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain‐Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and ManagementShanghai International Studies UniversityShanghaiChina
- Chronobiology and Sleep InstituteUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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2
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Crouse JJ, Park SH, Hermens DF, Lagopoulos J, Park M, Shin M, Carpenter JS, Scott EM, Hickie IB. Chronotype and subjective sleep quality predict white matter integrity in young people with emerging mental disorders. Eur J Neurosci 2024; 59:3322-3336. [PMID: 38650167 DOI: 10.1111/ejn.16351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 12/13/2023] [Accepted: 03/18/2024] [Indexed: 04/25/2024]
Abstract
Protecting brain health is a goal of early intervention. We explored whether sleep quality or chronotype could predict white matter (WM) integrity in emerging mental disorders. Young people (N = 364) accessing early-intervention clinics underwent assessments for chronotype, subjective sleep quality, and diffusion tensor imaging. Using machine learning, we examined whether chronotype or sleep quality (alongside diagnostic and demographic factors) could predict four measures of WM integrity: fractional anisotropy (FA), and radial, axial, and mean diffusivities (RD, AD and MD). We prioritised tracts that showed a univariate association with sleep quality or chronotype and considered predictors identified by ≥80% of machine learning (ML) models as 'important'. The most important predictors of WM integrity were demographics (age, sex and education) and diagnosis (depressive and bipolar disorders). Subjective sleep quality only predicted FA in the perihippocampal cingulum tract, whereas chronotype had limited predictive importance for WM integrity. To further examine links with mood disorders, we conducted a subgroup analysis. In youth with depressive and bipolar disorders, chronotype emerged as an important (often top-ranking) feature, predicting FA in the cingulum (cingulate gyrus), AD in the anterior corona radiata and genu of the corpus callosum, and RD in the corona radiata, anterior corona radiata, and genu of corpus callosum. Subjective quality was not important in this subgroup analysis. In summary, chronotype predicted altered WM integrity in the corona radiata and corpus callosum, whereas subjective sleep quality had a less significant role, suggesting that circadian factors may play a more prominent role in WM integrity in emerging mood disorders.
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Affiliation(s)
- Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Shin Ho Park
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
| | - Jim Lagopoulos
- Thompson Institute, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
| | - Minji Park
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Mirim Shin
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Joanne S Carpenter
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
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3
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Zareba MR, Fafrowicz M, Marek T, Oginska H, Beldzik E, Domagalik A. Tracing diurnal differences in brain anatomy with voxel-based morphometry - associations with sleep characteristics. Chronobiol Int 2024; 41:201-212. [PMID: 38192011 DOI: 10.1080/07420528.2024.2301944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 12/23/2023] [Indexed: 01/10/2024]
Abstract
Multiple aspects of brain functioning, including arousal, motivation, and cognitive performance, are governed by circadian rhythmicity. Although the recent rise in the use of magnetic resonance imaging (MRI) has enabled investigations into the macroscopic correlates of the diurnal brain processes, neuroanatomical studies are scarce. The current work investigated how time-of-day (TOD) impacts white (WM) and grey matter (GM) volumes using voxel-based morphometry (VBM) in a large dataset (N = 72) divided into two equal, comparable subsamples to assess the replicability of effects. Furthermore, we aimed to assess how the magnitude of these diurnal differences was related to actigraphy-derived indices of sleep health. The results extend the current knowledge by reporting that TOD is predominantly associated with regional WM volume decreases. Additionally, alongside corroborating previously observed volumetric GM decreases, we provide the first evidence for positive TOD effects. Higher replicability was observed for WM, with the only two replicated GM clusters being volumetric increases in the amygdala and hippocampus, and decreases in the retrosplenial cortex, with the latter more pronounced in individuals with shorter sleep times. These findings implicate the existence of region-specific mechanisms behind GM effects, which might be related to cognitive processes taking place during wakefulness and homeostatic sleep pressure.
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Affiliation(s)
- Michal Rafal Zareba
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Castellon de la Plana, Spain
- Centre for Brain Research, Jagiellonian University, Kraków, Poland
| | - Magdalena Fafrowicz
- Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, Kraków, Poland
| | - Tadeusz Marek
- Faculty of Psychology, SWPS University, Katowice, Poland
| | - Halszka Oginska
- Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, Kraków, Poland
| | - Ewa Beldzik
- Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, Kraków, Poland
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4
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Carlucci M, Lett T, Chavez S, Malinowski A, Lobaugh NJ, Petronis A. Diurnal oscillations of MRI metrics in the brains of male participants. Nat Commun 2023; 14:7044. [PMID: 37923728 PMCID: PMC10624685 DOI: 10.1038/s41467-023-42588-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 10/16/2023] [Indexed: 11/06/2023] Open
Abstract
Regulation of biological processes according to a 24-hr rhythm is essential for the normal functioning of an organism. Temporal variation in brain MRI data has often been attributed to circadian or diurnal oscillations; however, it is not clear if such oscillations exist. Here, we provide evidence that diurnal oscillations indeed govern multiple MRI metrics. We recorded cerebral blood flow, diffusion-tensor metrics, T1 relaxation, and cortical structural features every three hours over a 24-hr period in each of 16 adult male controls and eight adult male participants with bipolar disorder. Diurnal oscillations are detected in numerous MRI metrics at the whole-brain level, and regionally. Rhythmicity parameters in the participants with bipolar disorder are similar to the controls for most metrics, except for a larger phase variation in cerebral blood flow. The ubiquitous nature of diurnal oscillations has broad implications for neuroimaging studies and furthers our understanding of the dynamic nature of the human brain.
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Affiliation(s)
- Matthew Carlucci
- The Krembil Family Epigenetics Laboratory, The Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, M5T 1R8, ON, Canada
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, LT-10257, Lithuania
| | - Tristram Lett
- Center for Population Neuroscience and Precision Medicine (PONS), Clinic for Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, 10117, Germany
| | - Sofia Chavez
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Alexandra Malinowski
- The Krembil Family Epigenetics Laboratory, The Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, M5T 1R8, ON, Canada
| | - Nancy J Lobaugh
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Art Petronis
- The Krembil Family Epigenetics Laboratory, The Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, M5T 1R8, ON, Canada.
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, LT-10257, Lithuania.
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
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5
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Kim SY, Lee KH, Lee H, Jeon JE, Lee MH, Lee J, Oh SM, Lee YJ, Kim SJ. Negative life stress, sleep disturbance, and depressive symptoms: The moderating role of anterior insula activity in response to sleep-related stimuli. J Affect Disord 2022; 299:553-558. [PMID: 34952112 DOI: 10.1016/j.jad.2021.12.072] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 11/12/2021] [Accepted: 12/19/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND This study investigated the effects of anterior insula (AI) activation on the association between stress and sleep disturbance as a neurobiological basis of the trait-like degree of sleep reactivity to stress. Additionally, it examined the effects of AI activity on the association between sleep disturbance and depression. METHODS The participants were 48 adults. To assess AI activation in response to sleep-related stimuli (SS) compared to neutral stimuli (NS), we extracted mean AI parameter estimates for the SS-NS contrast. We examined whether the interaction between life stress and AI activation would predict sleep disturbance and whether the interaction between sleep disturbance and AI activation would predict depression. RESULTS At higher levels of bilateral AI activation in response to SS, higher levels of stress were associated with greater sleep disturbance (left AI x stress: b = 1.07, SE = 0.44, p < 0.05; right AI x stress: b = 1.05, SE = 0.48, p < 0.05). In addition, at higher levels of right AI activation, higher levels of sleep disturbance were associated with more severe depressive symptoms (right AI x sleep disturbance: b = 2.55, SE = 1.10, p < 0.05). LIMITATION This study assessed sleep quality and depressive symptoms based on self-reported questionnaires. CONCLUSION This study revealed moderating effects of AI activation on the association between negative life stress and sleep disturbance. Additionally, AI activation strengthened the association between sleep disturbance and depression. AI activation may reflect a crucial etiological diathesis for insomnia and stress-related disorders.
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Affiliation(s)
- Sun-Young Kim
- Department of Psychiatry, Ewha Womans University College of Medicine, Ewha Womans University Seoul Hospital, Seoul, Republic of Korea
| | - Kyung Hwa Lee
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hayoung Lee
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jeong Eun Jeon
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | | | - Jooyoung Lee
- Department of Psychiatry, Sungkyunkwan University College of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Seong-Min Oh
- Seoul Top Class Clinic, Seoul, Republic of Korea
| | - Yu Jin Lee
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
| | - Seog Ju Kim
- Department of Psychiatry, Sungkyunkwan University College of Medicine, Samsung Medical Center, Seoul, Republic of Korea.
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Muncy NM, Kimbler A, Hedges-Muncy AM, McMakin DL, Mattfeld AT. General additive models address statistical issues in diffusion MRI: An example with clinically anxious adolescents. Neuroimage Clin 2022; 33:102937. [PMID: 35033812 PMCID: PMC8762458 DOI: 10.1016/j.nicl.2022.102937] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 12/10/2021] [Accepted: 01/03/2022] [Indexed: 11/29/2022]
Abstract
Statistical models employed to test for group differences in quantized diffusion-weighted MRI white matter tracts often fail to account for the large number of data points per tract in addition to the distribution, type, and interdependence of the data. To address these issues, we propose the use of Generalized Additive Models (GAMs) and supply code and examples to aid in their implementation. Specifically, using diffusion data from 73 periadolescent clinically anxious and no-psychiatric-diagnosis control participants, we tested for group tract differences and show that a GAM allows for the identification of differences within a tract while accounting for the nature of the data as well as covariates and group factors. Further, we then used these tract differences to investigate their association with performance on a memory test. When comparing our high versus low anxiety groups, we observed a positive association between the left uncinate fasciculus and memory overgeneralization for negatively valenced stimuli. This same association was not evident in the right uncinate or anterior forceps. These findings illustrate that GAMs are well-suited for modeling diffusion data while accounting for various aspects of the data, and suggest that the adoption of GAMs will be a powerful investigatory tool for diffusion-weighted analyses.
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Affiliation(s)
- Nathan M Muncy
- Center for Children and Families, Florida International University, Miami, Florida, USA.
| | - Adam Kimbler
- Center for Children and Families, Florida International University, Miami, Florida, USA
| | | | - Dana L McMakin
- Center for Children and Families, Florida International University, Miami, Florida, USA
| | - Aaron T Mattfeld
- Center for Children and Families, Florida International University, Miami, Florida, USA
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7
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Morgello S, Buyukturkoglu K, Murray J, Veenstra M, Berman JW, Byrd D, Inglese M. MR spectroscopy and diffusion imaging in people with human immunodeficiency virus: Relationships to clinical and immunologic findings. J Neuroimaging 2022; 32:158-170. [PMID: 34520593 PMCID: PMC8752497 DOI: 10.1111/jon.12931] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 08/20/2021] [Accepted: 08/25/2021] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND AND PURPOSE People with human immunodeficiency virus (HIV; PWH) present a complex array of immunologic and medical disorders that impact brain structure and metabolism, complicating the interpretation of neuroimaging. This pilot study of well-characterized multi-morbid PWH examined how medical and immunologic factors predicted brain characteristics on proton MR spectroscopy (1H-MRS) and diffusion-weighted imaging (DWI). METHODS Eighteen individuals on combination antiretroviral therapy (cART), with mean age of 56 years, underwent medical history review, neuroimaging, and on the day of imaging, blood draw for assay of 20 plasma cytokines and flow cytometric characterization of peripheral blood mononuclear cell subsets. Predictors of n-acetyl aspartate, choline, myoinositol, glutamate/glutamine, fractional anisotropy and mean diffusivity were identified through bivariate correlation; those significant at p < .1000 were advanced to multivariate analysis, with models created for each neuroimaging outcome. RESULTS Monocyte subsets and diverse cytokines accounted for 16 of 25 (64%) variables predicting 1H-MRS spectra in frontal gray and white matter and basal ganglia; monocyte subsets did not predict any DWI characteristic. In contrast, age, presence of hypertension, and duration of HIV infection accounted for 13 of 25 (52%) variables predicting diffusion characteristics in the corpus callosum, thalamic radiations, and basal ganglia but only 3 of 25 (12%) predictors of 1H-MRS features. CONCLUSIONS 1H-MRS neurometabolites were most often predicted by immunologic factors sensitive to temporal variation, whereas DWI metrics were more often related to longer-term disease state. In multi-morbid cART-era populations, selection and interpretation of neuroimaging modalities should account for complex temporal and pathogenetic influences of immunologic abnormality, disease state, and aging.
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Affiliation(s)
- Susan Morgello
- Department of Neurology, The Icahn School of Medicine at Mount Sinai, New York City, New York,Departments of Neuroscience and Pathology, The Icahn School of Medicine at Mount Sinai, New York City, New York
| | | | - Jacinta Murray
- Department of Neurology, The Icahn School of Medicine at Mount Sinai, New York City, New York
| | - Mike Veenstra
- Departments of Pathology, Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York
| | - Joan W. Berman
- Departments of Pathology, Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York
| | - Desiree Byrd
- Department of Neurology, The Icahn School of Medicine at Mount Sinai, New York City, New York,Department of Psychology, Queens College and the Graduate Center, City University of New York, Queens, New York
| | - Matilde Inglese
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy
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8
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Zhao R, Sun JB, Deng H, Cheng C, Li X, Wang FM, He ZY, Chang MY, Lu LM, Tang CZ, Xu NG, Yang XJ, Qin W. Per1 gene polymorphisms influence the relationship between brain white matter microstructure and depression risk. Front Psychiatry 2022; 13:1022442. [PMID: 36440417 PMCID: PMC9691780 DOI: 10.3389/fpsyt.2022.1022442] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 10/24/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Circadian rhythm was involved in the pathogenesis of depression. The detection of circadian genes and white matter (WM) integrity achieved increasing focus for early prediction and diagnosis of major depressive disorder (MDD). This study aimed to explore the effects of PER1 gene polymorphisms (rs7221412), one of the key circadian genes, on the association between depressive level and WM microstructural integrity. MATERIALS AND METHODS Diffusion tensor imaging scanning and depression assessment (Beck Depression Inventory, BDI) were performed in 77 healthy college students. Participants also underwent PER1 polymorphism detection and were divided into the AG group and AA group. The effects of PER1 genotypes on the association between the WM characteristics and BDI were analyzed using tract-based spatial statistics method. RESULTS Compared with homozygous form of PER1 gene (AA), more individuals with risk allele G of PER1 gene (AG) were in depression state with BDI cutoff of 14 (χ2 = 7.37, uncorrected p = 0.007). At the level of brain imaging, the WM integrity in corpus callosum, internal capsule, corona radiata and fornix was poorer in AG group compared with AA group. Furthermore, significant interaction effects of genotype × BDI on WM characteristics were observed in several emotion-related WM tracts. To be specific, the significant relationships between BDI and WM characteristics in corpus callosum, internal capsule, corona radiata, fornix, external capsule and sagittal stratum were only found in AG group, but not in AA group. CONCLUSION Our findings suggested that the PER1 genotypes and emotion-related WM microstructure may provide more effective measures of depression risk at an early phase.
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Affiliation(s)
- Rui Zhao
- School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China
| | - Jin-Bo Sun
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.,Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China.,Guangzhou Institute of Technology, Xidian University, Xi'an, Shaanxi, China
| | - Hui Deng
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.,Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China.,Guangzhou Institute of Technology, Xidian University, Xi'an, Shaanxi, China
| | - Chen Cheng
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China
| | - Xue Li
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.,Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Fu-Min Wang
- School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China
| | - Zhao-Yang He
- School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China
| | - Meng-Ying Chang
- School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China
| | - Li-Ming Lu
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Chun-Zhi Tang
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Neng-Gui Xu
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xue-Juan Yang
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.,Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China.,Guangzhou Institute of Technology, Xidian University, Xi'an, Shaanxi, China
| | - Wei Qin
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.,Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China.,Guangzhou Institute of Technology, Xidian University, Xi'an, Shaanxi, China
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9
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Turner REF, Gatterer H, Falla M, Lawley JS. High-altitude cerebral edema: its own entity or end-stage acute mountain sickness? J Appl Physiol (1985) 2021; 131:313-325. [PMID: 33856254 DOI: 10.1152/japplphysiol.00861.2019] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
High-altitude cerebral edema (HACE) and acute mountain sickness (AMS) are neuropathologies associated with rapid exposure to hypoxia. However, speculation remains regarding the exact etiology of both HACE and AMS and whether they share a common mechanistic pathology. This review outlines the basic principles of HACE development, highlighting how edema could develop from 1) a progression from cytotoxic swelling to ionic edema or 2) permeation of the blood brain barrier (BBB) with or without ionic edema. Thereafter, discussion turns to the available neuroimaging literature in the context of cytotoxic, ionic, or vasogenic edema in both HACE and AMS. Although HACE is clearly caused by an increase in brain water of ionic and/or vasogenic origin, there is very little evidence that this type of edema is present when AMS develops. However, cerebral vasodilation, increased intracranial blood volume, and concomitant intracranial fluid shifts from the extracellular to the intracellular space, as interpreted from changes in diffusion indices within white matter, are observed consistently in persons acutely exposed to hypoxia and with AMS. Therefore, herein we explore the idea that intracellular swelling occurs alongside AMS, and is a critical precursor to extracellular ionic edema formation. We propose that this process produces a subtle modulation of the BBB, which either together with or independent of vasogenic edema provides a transvascular segue from the end-stage of AMS to HACE. Ultimately, this review seeks to shed light on the possible processes underlying HACE pathophysiology, and thus highlights potential avenues for future prevention and treatment.
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Affiliation(s)
- Rachel E F Turner
- Institute of Mountain Emergency Medicine, Eurac Research, Bolzano, Italy
| | - Hannes Gatterer
- Institute of Mountain Emergency Medicine, Eurac Research, Bolzano, Italy
| | - Marika Falla
- Center for Mind/Brain Sciences and Centre for Neurocognitive Rehabilitation, University of Trento, Rovereto, Italy
| | - Justin S Lawley
- Division of Performance Physiology & Prevention, Department of Sport Science, University of Innsbruck, Innsbruck, Austria
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10
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Temporal organisation of the brain's intrinsic motor network: The relationship with circadian phenotype and motor performance. Neuroimage 2021; 232:117840. [PMID: 33577933 PMCID: PMC8214225 DOI: 10.1016/j.neuroimage.2021.117840] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 01/27/2021] [Accepted: 02/02/2021] [Indexed: 11/20/2022] Open
Abstract
Background Functional connectivity (FC) of the motor network (MN) is often used to investigate how intrinsic properties of the brain are associated with motor abilities and performance. In addition, the MN is a key feature in clinical work to map the recovery after stroke and aid the understanding of neurodegenerative disorders. Time of day variation and individual differences in circadian timing, however, have not yet been considered collectively when looking at FC. Methods A total of 33 healthy, right handed individuals (13 male, 23.1 ± 4.2 years) took part in the study. Actigraphy, sleep diaries and circadian phase markers (dim light melatonin onset and cortisol awakening response) were used to determine early (ECP, n = 13) and late (LCP, n = 20) circadian phenotype groups. Resting state functional MRI testing sessions were conducted at 14:00 h, 20:00 h and 08:00 h and preceded by a maximum voluntary contraction test for isometric grip strength to measure motor performance. Results Significant differences in FC of the MN between ECPs and LCPs were found, as well as significant variations between different times of day. A higher amplitude in diurnal variation of FC and performance was observed in LCPs compared to ECPs, with the morning being most significantly affected. Overall, lower FC was significantly associated with poorer motor performance. Discussion Our findings uncover intrinsic differences between times of day and circadian phenotype groups. This suggests that central mechanisms contribute to diurnal variation in motor performance and the functional integrity of the MN at rest influences the ability to perform in a motor task.
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11
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Sleep and sleep deprivation differentially alter white matter microstructure: A mixed model design utilising advanced diffusion modelling. Neuroimage 2021; 226:117540. [PMID: 33186715 DOI: 10.1016/j.neuroimage.2020.117540] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 10/19/2020] [Accepted: 10/28/2020] [Indexed: 01/29/2023] Open
Abstract
Sleep deprivation influences several critical functions, yet how it affects human brain white matter (WM) is not well understood. The aim of the present work was to investigate the effect of 32 hours of sleep deprivation on WM microstructure compared to changes observed in a normal sleep-wake cycle (SWC). To this end, we utilised diffusion weighted imaging (DWI) including the diffusion tensor model, diffusion kurtosis imaging and the spherical mean technique, a novel biophysical diffusion model. 46 healthy adults (23 sleep deprived vs 23 with normal SWC) underwent DWI across four time points (morning, evening, next day morning and next day afternoon, after a total of 32 hours). Linear mixed models revealed significant group × time interaction effects, indicating that sleep deprivation and normal SWC differentially affect WM microstructure. Voxel-wise comparisons showed that these effects spanned large, bilateral WM regions. These findings provide important insight into how sleep deprivation affects the human brain.
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12
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Post-learning micro- and macro-structural neuroplasticity changes with time and sleep. Biochem Pharmacol 2020; 191:114369. [PMID: 33338474 DOI: 10.1016/j.bcp.2020.114369] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 12/10/2020] [Accepted: 12/11/2020] [Indexed: 12/18/2022]
Abstract
Neuroplasticity refers to the fact that our brain can partially modify both structure and function to adequately respond to novel environmental stimulations. Neuroplasticity mechanisms are not only operating during the acquisition of novel information (i.e., online) but also during the offline periods that take place after the end of the actual learning episode. Structural brain changes as a consequence of learning have been consistently demonstrated on the long term using non-invasive neuroimaging methods, but short-term changes remained more elusive. Fortunately, the swift development of advanced MR methods over the last decade now allows tracking fine-grained cerebral changes on short timescales beyond gross volumetric modifications stretching over several days or weeks. Besides a mere effect of time, post-learning sleep mechanisms have been shown to play an important role in memory consolidation and promote long-lasting changes in neural networks. Sleep was shown to contribute to structural modifications over weeks of prolonged training, but studies evidencing more rapid post-training sleep structural effects linked to memory consolidation are still scarce in human. On the other hand, animal studies convincingly show how sleep might modulate synaptic microstructure. We aim here at reviewing the literature establishing a link between different types of training/learning and the resulting structural changes, with an emphasis on the role of post-training sleep and time in tuning these modifications. Open questions are raised such as the role of post-learning sleep in macrostructural changes, the links between different MR structural measurement-related modifications and the underlying microstructural brain processes, and bidirectional influences between structural and functional brain changes.
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13
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Sydnor VJ, Lyall AE, Cetin-Karayumak S, Cheung JC, Felicione JM, Akeju O, Shenton ME, Deckersbach T, Ionescu DF, Pasternak O, Cusin C, Kubicki M. Studying pre-treatment and ketamine-induced changes in white matter microstructure in the context of ketamine's antidepressant effects. Transl Psychiatry 2020; 10:432. [PMID: 33319774 PMCID: PMC7738670 DOI: 10.1038/s41398-020-01122-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 10/23/2020] [Accepted: 11/16/2020] [Indexed: 12/28/2022] Open
Abstract
Ketamine is increasingly being used as a therapeutic for treatment-resistant depression (TRD), yet the effects of ketamine on the human brain remain largely unknown. This pilot study employed diffusion magnetic resonance imaging (dMRI) to examine relationships between ketamine treatment and white matter (WM) microstructure, with the aim of increasing the current understanding of ketamine's neural mechanisms of action in humans. Longitudinal dMRI data were acquired from 13 individuals with TRD two hours prior to (pre-infusion), and four hours following (post-infusion), an intravenous ketamine infusion. Free-water imaging was employed to quantify cerebrospinal fluid-corrected mean fractional anisotropy (FA) in 15 WM bundles pre- and post-infusion. Analyses revealed that higher pre-infusion FA in the left cingulum bundle and the left superior longitudinal fasciculus was associated with greater depression symptom improvement 24 h post-ketamine. Moreover, four hours after intravenous administration of ketamine, FA rapidly increased in numerous WM bundles in the brain; this increase was significantly associated with 24 h symptom improvement in select bundles. Overall, the results of this preliminary study suggest that WM properties, as measured by dMRI, may have a potential impact on clinical improvement following ketamine. Ketamine administration additionally appears to be associated with rapid WM diffusivity changes, suggestive of rapid changes in WM microstructure. This study thus points to pre-treatment WM structure as a potential factor associated with ketamine's clinical efficacy, and to post-treatment microstructural changes as a candidate neuroimaging marker of ketamine's cellular mechanisms.
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Affiliation(s)
- Valerie J. Sydnor
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Amanda E. Lyall
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA ,grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA USA
| | - Suheyla Cetin-Karayumak
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Joey C. Cheung
- grid.32224.350000 0004 0386 9924Depression Clinical and Research Program (DCRP), Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA USA
| | - Julia M. Felicione
- grid.32224.350000 0004 0386 9924Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Boston, MA USA
| | - Oluwaseun Akeju
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA USA
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA ,Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA ,grid.410370.10000 0004 4657 1992VA Boston Healthcare System, Brockton Division, Brockton, MA USA
| | - Thilo Deckersbach
- grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA USA
| | - Dawn F. Ionescu
- grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA USA ,grid.32224.350000 0004 0386 9924Depression Clinical and Research Program (DCRP), Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA USA
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA ,Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Cristina Cusin
- grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA USA ,grid.32224.350000 0004 0386 9924Depression Clinical and Research Program (DCRP), Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA USA
| | - Marek Kubicki
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. .,Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. .,Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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14
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Melloni EMT, Poletti S, Dallaspezia S, Bollettini I, Vai B, Barbini B, Zanardi R, Colombo C, Benedetti F. Changes of white matter microstructure after successful treatment of bipolar depression. J Affect Disord 2020; 274:1049-1056. [PMID: 32663931 DOI: 10.1016/j.jad.2020.05.146] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 04/22/2020] [Accepted: 05/27/2020] [Indexed: 01/31/2023]
Abstract
BACKGROUND Diffusion tensor imaging (DTI) measures suggest a widespread alteration of white matter (WM) microstructure in patients with bipolar disorder (BD). The chronotherapeutic combination of repeated total sleep deprivation and morning light therapy (TSD+LT) can acutely reverse depressive symptoms in approximately 60% of patients, and it has been confirmed as a model antidepressant treatment to investigate the neurobiological correlates of rapid antidepressant response. METHODS We tested if changes in DTI measures of WM microstructure could parallel antidepressant response in a sample of 44 patients with a major depressive episode in course of BD, treated with chronoterapeutics for one week. We used both a tract-wise and a voxel-wise approach for the whole-brain extraction of DTI measures of WM microstructure: axial (AD), radial (RD), and mean diffusivity (MD), and fractional anisotropy (FA). RESULTS Compared to baseline level, at one-week follow up we observed a significant increase in average FA measures paralleled by a significant decrease in MD measures of several WM tracts including cingulum, corpus callosum, corona radiata, cortico-spinal tract, internal capsule, fornix and uncinate fasciculus. The degree of change was associated to clinical response. CONCLUSIONS This is the first study to show changes of individual DTI measures of WM microstructure in response to antidepressant treatment in BD. Our results add new evidence to warrant a role for chronotherapeutics as a first-line treatment for bipolar depression and contribute identifying generalizable neuroimaging-based biomarkers of antidepressant response.
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Affiliation(s)
- Elisa M T Melloni
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy.
| | - Sara Poletti
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
| | - Sara Dallaspezia
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Irene Bollettini
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Benedetta Vai
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy; Fondazione Centro San Raffaele, Milano, Italy
| | - Barbara Barbini
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Raffaella Zanardi
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Cristina Colombo
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
| | - Francesco Benedetti
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
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15
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Voldsbekk I, Maximov II, Zak N, Roelfs D, Geier O, Due-Tønnessen P, Elvsåshagen T, Strømstad M, Bjørnerud A, Groote I. Evidence for wakefulness-related changes to extracellular space in human brain white matter from diffusion-weighted MRI. Neuroimage 2020; 212:116682. [DOI: 10.1016/j.neuroimage.2020.116682] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 01/29/2020] [Accepted: 02/24/2020] [Indexed: 12/19/2022] Open
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16
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Orban C, Kong R, Li J, Chee MWL, Yeo BTT. Time of day is associated with paradoxical reductions in global signal fluctuation and functional connectivity. PLoS Biol 2020; 18:e3000602. [PMID: 32069275 PMCID: PMC7028250 DOI: 10.1371/journal.pbio.3000602] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 01/15/2020] [Indexed: 12/13/2022] Open
Abstract
The brain exhibits substantial diurnal variation in physiology and function, but neuroscience studies rarely report or consider the effects of time of day. Here, we examined variation in resting-state functional MRI (fMRI) in around 900 individuals scanned between 8 AM and 10 PM on two different days. Multiple studies across animals and humans have demonstrated that the brain’s global signal (GS) amplitude (henceforth referred to as “fluctuation”) increases with decreased arousal. Thus, in accord with known circadian variation in arousal, we hypothesised that GS fluctuation would be lowest in the morning, increase in the midafternoon, and dip in the early evening. Instead, we observed a cumulative decrease in GS fluctuation as the day progressed. Although respiratory variation also decreased with time of day, control analyses suggested that this did not account for the reduction in GS fluctuation. Finally, time of day was associated with marked decreases in resting-state functional connectivity across the whole brain. The magnitude of decrease was significantly stronger than associations between functional connectivity and behaviour (e.g., fluid intelligence). These findings reveal time of day effects on global brain activity that are not easily explained by expected arousal state or physiological artefacts. We conclude by discussing potential mechanisms for the observed diurnal variation in resting brain activity and the importance of accounting for time of day in future studies. The brain exhibits substantial diurnal variation in physiology and function. A large-scale fMRI study reveals that the brain’s global signal amplitude, typically elevated during drowsy states, unexpectedly reduces steadily as the day progresses.
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Affiliation(s)
- Csaba Orban
- Department of Electrical and Computer Engineering, N.1 Institute for Health and Memory Networks Program, National University of Singapore, Singapore
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Clinical Imaging and Research Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Neuropsychopharmacology Unit, Centre for Psychiatry, Imperial College London, London, United Kingdom
- * E-mail: (CO); (BTTY)
| | - Ru Kong
- Department of Electrical and Computer Engineering, N.1 Institute for Health and Memory Networks Program, National University of Singapore, Singapore
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Clinical Imaging and Research Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jingwei Li
- Department of Electrical and Computer Engineering, N.1 Institute for Health and Memory Networks Program, National University of Singapore, Singapore
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Clinical Imaging and Research Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Michael W. L. Chee
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Clinical Imaging and Research Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Centre for Cognitive Neuroscience, Duke-NUS Medical School, Singapore
- NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
| | - B. T. Thomas Yeo
- Department of Electrical and Computer Engineering, N.1 Institute for Health and Memory Networks Program, National University of Singapore, Singapore
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Clinical Imaging and Research Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Centre for Cognitive Neuroscience, Duke-NUS Medical School, Singapore
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, United States of America
- NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
- * E-mail: (CO); (BTTY)
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17
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Brain microstructural abnormalities correlate with KCC2 downregulation in refractory epilepsy. Neuroreport 2019; 30:409-414. [PMID: 30817684 DOI: 10.1097/wnr.0000000000001216] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Dysregulations in the expression level of Na-K-Cl cotransporter (NKCC1) and K-Cl cotransporter (KCC2) genes have been detected in the brain tissues of patients with refractory epilepsy. Given the importance of these proteins in the determination of Cl equilibrium potential (ECl), evaluation of the expression changes of these transporters might assist in optimizing the diagnostic approaches and therapeutic strategies. The present investigation evaluates the expression level chloride transporters in polymorphonuclear cells and their correlation with microstructural abnormalities. Thirty cases of drug-resistant epilepsy (confirmed with temporal lobe epilepsy diagnosis) fulfilled the considered inclusion criteria. Cases were divided into two groups, one with a detectable MRI lesion (19 participants; right side) and another with no MRI findings (11 participants). Whole-brain voxel-based analysis was performed on diffusion tensor imaging to measure fractional anisotropy and mean diffusivity; neurite orientation dispersion and density imaging was performed to map neurite density index and orientation dispersion index. Our results indicated that fractional anisotropy and mean diffusivity changed in temporal and extratemporal parts of the brain, whereas the changes in neurite density index and orientation dispersion index were exclusively obvious in the temporal lobe. Molecular studies revealed significantly lower levels of KCC2 expression in patients with epilepsy, a finding that remarkably correlated with microstructural changes as well. Our research showed that downregulation of KCC2 and microstructural abnormalities might contribute to the observed refractoriness in temporal lobe epilepsy.
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18
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Tavor I, Botvinik‐Nezer R, Bernstein‐Eliav M, Tsarfaty G, Assaf Y. Short-term plasticity following motor sequence learning revealed by diffusion magnetic resonance imaging. Hum Brain Mapp 2019; 41:442-452. [PMID: 31596547 PMCID: PMC7267908 DOI: 10.1002/hbm.24814] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 09/12/2019] [Accepted: 09/22/2019] [Indexed: 01/06/2023] Open
Abstract
Current noninvasive methods to detect structural plasticity in humans are mainly used to study long-term changes. Diffusion magnetic resonance imaging (MRI) was recently proposed as a novel approach to reveal gray matter changes following spatial navigation learning and object-location memory tasks. In the present work, we used diffusion MRI to investigate the short-term neuroplasticity that accompanies motor sequence learning. Following a 45-min training session in which participants learned to accurately play a short sequence on a piano keyboard, changes in diffusion properties were revealed mainly in motor system regions such as the premotor cortex and cerebellum. In a second learning session taking place immediately afterward, feedback was given on the timing of key pressing instead of accuracy, while participants continued to learn. This second session induced a different plasticity pattern, demonstrating the dynamic nature of learning-induced plasticity, formerly thought to require months of training in order to be detectable. These results provide us with an important reminder that the brain is an extremely dynamic structure. Furthermore, diffusion MRI offers a novel measure to follow tissue plasticity particularly over short timescales, allowing new insights into the dynamics of structural brain plasticity.
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Affiliation(s)
- Ido Tavor
- Department of Anatomy and Anthropology, Sackler Faculty of MedicineTel Aviv UniversityTel AvivIsrael
- Department of Diagnostic Imaging, Sheba Medical Center, Tel Hashomer, Affiliated to the Sackler School of MedicineTel Aviv UniversityTel AvivIsrael
- Sagol School of NeuroscienceTel Aviv UniversityTel AvivIsrael
| | - Rotem Botvinik‐Nezer
- Sagol School of NeuroscienceTel Aviv UniversityTel AvivIsrael
- Department of Neurobiology, Faculty of Life SciencesTel Aviv UniversityTel AvivIsrael
| | - Michal Bernstein‐Eliav
- Department of Anatomy and Anthropology, Sackler Faculty of MedicineTel Aviv UniversityTel AvivIsrael
- Sagol School of NeuroscienceTel Aviv UniversityTel AvivIsrael
| | - Galia Tsarfaty
- Department of Diagnostic Imaging, Sheba Medical Center, Tel Hashomer, Affiliated to the Sackler School of MedicineTel Aviv UniversityTel AvivIsrael
| | - Yaniv Assaf
- Sagol School of NeuroscienceTel Aviv UniversityTel AvivIsrael
- Department of Neurobiology, Faculty of Life SciencesTel Aviv UniversityTel AvivIsrael
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19
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Wirz-Justice A, Benedetti F. Perspectives in affective disorders: Clocks and sleep. Eur J Neurosci 2019; 51:346-365. [PMID: 30702783 DOI: 10.1111/ejn.14362] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Revised: 12/30/2018] [Accepted: 01/22/2019] [Indexed: 12/17/2022]
Abstract
Mood disorders are often characterised by alterations in circadian rhythms, sleep disturbances and seasonal exacerbation. Conversely, chronobiological treatments utilise zeitgebers for circadian rhythms such as light to improve mood and stabilise sleep, and manipulations of sleep timing and duration as rapid antidepressant modalities. Although sleep deprivation ("wake therapy") can act within hours, and its mood-elevating effects be maintained by regular morning light administration/medication/earlier sleep, it has not entered the regular guidelines for treating affective disorders as a first-line treatment. The hindrances to using chronotherapeutics may lie in their lack of patentability, few sponsors to carry out large multi-centre trials, non-reimbursement by medical insurance and their perceived difficulty or exotic "alternative" nature. Future use can be promoted by new technology (single-sample phase measurements, phone apps, movement and sleep trackers) that provides ambulatory documentation over long periods and feedback to therapist and patient. Light combinations with cognitive behavioural therapy and sleep hygiene practice may speed up and also maintain response. The urgent need for new antidepressants should hopefully lead to reconsideration and implementation of these non-pharmacological methods, as well as further clinical trials. We review the putative neurochemical mechanisms underlying the antidepressant effect of sleep deprivation and light therapy, and current knowledge linking clocks and sleep with affective disorders: neurotransmitter switching, stress and cortico-limbic reactivity, clock genes, cortical neuroplasticity, connectomics and neuroinflammation. Despite the complexity of multi-system mechanisms, more insight will lead to fine tuning and better application of circadian and sleep-related treatments of depression.
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Affiliation(s)
- Anna Wirz-Justice
- Centre for Chronobiology, Transfaculty Research Platform Molecular and Cognitive Neurosciences, Psychiatric Hospital of the University of Basel, Basel, Switzerland
| | - Francesco Benedetti
- University Vita-Salute San Raffaele, Milano, Italy.,Psychiatry & Clinical Psychobiology, Division of Neuroscience, San Raffaele Scientific Institute, Milano, Italy
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20
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Arm J, Al-iedani O, Lea R, Lechner-Scott J, Ramadan S. Diurnal variability of cerebral metabolites in healthy human brain with 2D localized correlation spectroscopy (2D L-COSY). J Magn Reson Imaging 2019; 50:592-601. [DOI: 10.1002/jmri.26642] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 12/20/2018] [Accepted: 12/20/2018] [Indexed: 11/06/2022] Open
Affiliation(s)
- Jameen Arm
- School of Health Sciences, Faculty of Health and Medicine; University of Newcastle; Callaghan NSW Australia
| | - Oun Al-iedani
- School of Health Sciences, Faculty of Health and Medicine; University of Newcastle; Callaghan NSW Australia
- Hunter Medical Research Institute; New Lambton Heights, Newcastle Australia
| | - Rod Lea
- Hunter Medical Research Institute; New Lambton Heights, Newcastle Australia
- Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology; Brisbane Australia
| | - Jeannette Lechner-Scott
- Department of Neurology; John Hunter Hospital; New Lambton Heights, Newcastle Australia
- School of Medicine and Public Health, Faculty of Health and Medicine; University of Newcastle; Callaghan NSW Australia
| | - Saadallah Ramadan
- School of Health Sciences, Faculty of Health and Medicine; University of Newcastle; Callaghan NSW Australia
- Hunter Medical Research Institute; New Lambton Heights, Newcastle Australia
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21
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Benveniste H, Liu X, Koundal S, Sanggaard S, Lee H, Wardlaw J. The Glymphatic System and Waste Clearance with Brain Aging: A Review. Gerontology 2018; 65:106-119. [PMID: 29996134 DOI: 10.1159/000490349] [Citation(s) in RCA: 276] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 05/24/2018] [Indexed: 12/21/2022] Open
Abstract
The glymphatic system is a glial-dependent waste clearance pathway in the brain, in place of lymphatic vessels, dedicated to drain away soluble waste proteins and metabolic products. Specifically, the glymphatic network serves as a "front end" for waste clearance, and is connected downstream to an authentic lymphatic network, associated with dura covering the brain as well as cranial nerves and large vessels at the skull exits. The anatomical and functional interconnections between these two networks are not completely understood. Several key physiological processes have been identified that control glymphatic transport function and waste clearance from brain. In this review, we aim to provide an overview and discussion of the concept behind the glymphatic system, current evidence, and controversies, while specifically focusing on the consequences of aging and evidence of its existence in human brain. Discovering novel strategies for optimizing and maintaining efficient brain waste clearance across the lifespan may in the future prove to be important for preventing cognitive decline and sustaining healthy aging.
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Affiliation(s)
- Helene Benveniste
- Department of Anesthesiology, Yale School of Medicine, New Haven, Connecticut,
| | - Xiaodan Liu
- Department of Anesthesiology, Yale School of Medicine, New Haven, Connecticut, USA.,Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Sunil Koundal
- Department of Anesthesiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Simon Sanggaard
- Department of Anesthesiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Hedok Lee
- Department of Anesthesiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Joanna Wardlaw
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, Dementia Research Institute at the University of Edinburgh, Edinburgh, United Kingdom
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22
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Bajaj S, Vanuk JR, Smith R, Dailey NS, Killgore WDS. Blue-Light Therapy following Mild Traumatic Brain Injury: Effects on White Matter Water Diffusion in the Brain. Front Neurol 2017; 8:616. [PMID: 29213254 PMCID: PMC5702646 DOI: 10.3389/fneur.2017.00616] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2017] [Accepted: 11/06/2017] [Indexed: 11/13/2022] Open
Abstract
Mild traumatic brain injury (mTBI) is a common and often inconspicuous wound that is frequently associated with chronic low-grade symptoms and cognitive dysfunction. Previous evidence suggests that daily blue wavelength light therapy may be effective at reducing fatigue and improving sleep in patients recovering from mTBI. However, the effects of light therapy on recovering brain structure remain unexplored. In this study, we analyzed white matter diffusion properties, including generalized fractional anisotropy, and the quantity of water diffusion in isotropic (i.e., isotropic diffusion) and anisotropic fashion (i.e., quantitative anisotropy, QA) for fibers crossing 11 brain areas known to be significantly affected following mTBI. Specifically, we investigated how 6 weeks of daily morning blue light exposure therapy (compared to an amber-light placebo condition) impacted changes in white matter diffusion in individuals with mTBI. We observed a significant impact of the blue light treatment (relative to the placebo) on the amount of water diffusion (QA) for multiple brain areas, including the corpus callosum, anterior corona radiata, and thalamus. Moreover, many of these changes were associated with improvements in sleep latency and delayed memory. These findings suggest that blue wavelength light exposure may serve as one of the potential non-pharmacological treatments for facilitating structural and functional recovery following mTBI; they also support the use of QA as a reliable neuro-biomarker for mTBI therapies.
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Affiliation(s)
- Sahil Bajaj
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - John R Vanuk
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Ryan Smith
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Natalie S Dailey
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - William D S Killgore
- Social, Cognitive and Affective Neuroscience Laboratory (SCAN Lab), Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
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23
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Benedetti F, Melloni EMT, Dallaspezia S, Bollettini I, Locatelli C, Poletti S, Colombo C. Night sleep influences white matter microstructure in bipolar depression. J Affect Disord 2017; 218:380-387. [PMID: 28500983 DOI: 10.1016/j.jad.2017.05.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Revised: 05/02/2017] [Accepted: 05/06/2017] [Indexed: 01/21/2023]
Abstract
BACKGROUND Alteration of circadian rhythms and sleep disruption are prominent trait-like features of bipolar disorder (BD). Diffusion tensor imaging (DTI) measures suggest a widespread alteration of white matter (WM) microstructure in patients with BD. Sleep promotes myelination and oligodendrocyte precursor cells proliferation. We hypothesized a possible association between DTI measures of WM microstructure and sleep quantity measures in BD. METHODS We studied 69 inpatients affected by a depressive episode in course of type I BD. We used whole brain tract-based spatial statistics on DTI measures of WM microstructure: axial, radial, and mean diffusivity (AD, RD, MD), and fractional anisotropy (FA). Self-assessed measures of time asleep (TA) and total sleep time (TST) were extracted from the Pittsburgh Sleep Quality Index (PSQI). Actigraphic recordings were performed on a subsample of 23 patients. RESULTS We observed a positive correlation of DTI measures of FA with actigraphic measures of TA and TST, and with PSQI measure of TA. DTI measures of RD inversely associated with actigraphic measure of TA, and with PSQI measures of TA and TST. Several WM tracts were involved, including corpus callosum, cyngulate gyrus, uncinate fasciculus, left superior and inferior longitudinal and fronto-occipital fasciculi, thalamic radiation, corona radiata, retrolenticular part of internal capsule and corticospinal tract. LIMITATIONS The study is correlational in nature, and no conclusion about a causal connection can be drawn. CONCLUSIONS Reduced FA with increased RD and MD indicate higher water diffusivity associated with less organized myelin and/or axonal structures. Our findings suggest an association between sleep disruption and these measures of brain microstructure in specific tracts contributing to the functional connectivity in BD.
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Affiliation(s)
- Francesco Benedetti
- Department of Clinical Neurosciences and CERMAC, Scientific Institute Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy.
| | - Elisa M T Melloni
- Department of Clinical Neurosciences and CERMAC, Scientific Institute Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
| | - Sara Dallaspezia
- Department of Clinical Neurosciences and CERMAC, Scientific Institute Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
| | - Irene Bollettini
- Department of Clinical Neurosciences and CERMAC, Scientific Institute Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
| | - Clara Locatelli
- Department of Clinical Neurosciences and CERMAC, Scientific Institute Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
| | - Sara Poletti
- Department of Clinical Neurosciences and CERMAC, Scientific Institute Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
| | - Cristina Colombo
- Department of Clinical Neurosciences and CERMAC, Scientific Institute Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
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24
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Elvsåshagen T, Zak N, Norbom LB, Pedersen PØ, Quraishi SH, Bjørnerud A, Alnæs D, Doan NT, Malt UF, Groote IR, Westlye LT. Evidence for cortical structural plasticity in humans after a day of waking and sleep deprivation. Neuroimage 2017; 156:214-223. [PMID: 28526620 DOI: 10.1016/j.neuroimage.2017.05.027] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2016] [Revised: 05/08/2017] [Accepted: 05/14/2017] [Indexed: 12/29/2022] Open
Abstract
Sleep is an evolutionarily conserved process required for human health and functioning. Insufficient sleep causes impairments across cognitive domains, and sleep deprivation can have rapid antidepressive effects in mood disorders. However, the neurobiological effects of waking and sleep are not well understood. Recently, animal studies indicated that waking and sleep are associated with substantial cortical structural plasticity. Here, we hypothesized that structural plasticity can be observed after a day of waking and sleep deprivation in the human cerebral cortex. To test this hypothesis, 61 healthy adult males underwent structural magnetic resonance imaging (MRI) at three time points: in the morning after a regular night's sleep, the evening of the same day, and the next morning, either after total sleep deprivation (N=41) or a night of sleep (N=20). We found significantly increased right prefrontal cortical thickness from morning to evening across all participants. In addition, pairwise comparisons in the deprived group between the two morning scans showed significant thinning of mainly bilateral medial parietal cortices after 23h of sleep deprivation, including the precuneus and posterior cingulate cortex. However, there were no significant group (sleep vs. sleep deprived group) by time interactions and we can therefore not rule out that other mechanisms than sleep deprivation per se underlie the bilateral medial parietal cortical thinning observed in the deprived group. Nonetheless, these cortices are thought to subserve wakefulness, are among the brain regions with highest metabolic rate during wake, and are considered some of the most sensitive cortical regions to a variety of insults. Furthermore, greater thinning within the left medial parietal cluster was associated with increased sleepiness after sleep deprivation. Together, these findings add to a growing body of data showing rapid structural plasticity within the human cerebral cortex detectable with MRI. Further studies are needed to clarify whether cortical thinning is one neural substrate of sleepiness after sleep deprivation.
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Affiliation(s)
- Torbjørn Elvsåshagen
- Department of Neurology, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Nathalia Zak
- Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Linn B Norbom
- Department of Psychology, Faculty of Social Sciences, University of Oslo, Oslo, Norway
| | - Per Ø Pedersen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Atle Bjørnerud
- The Intervention Centre, Oslo University Hospital, Oslo, Norway; Department of Physics, University of Oslo, Oslo, Norway
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - Nhat Trung Doan
- Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - Ulrik F Malt
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Research and Education, Oslo University Hospital, Oslo, Norway
| | - Inge R Groote
- Department of Psychology, Faculty of Social Sciences, University of Oslo, Oslo, Norway; The Intervention Centre, Oslo University Hospital, Oslo, Norway
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway; Department of Psychology, Faculty of Social Sciences, University of Oslo, Oslo, Norway
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25
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Jiang C, Yi L, Su S, Shi C, Long X, Xie G, Zhang L. Diurnal Variations in Neural Activity of Healthy Human Brain Decoded with Resting-State Blood Oxygen Level Dependent fMRI. Front Hum Neurosci 2016; 10:634. [PMID: 28066207 PMCID: PMC5169030 DOI: 10.3389/fnhum.2016.00634] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Accepted: 11/29/2016] [Indexed: 12/31/2022] Open
Abstract
It remains an ongoing investigation about how the neural activity alters with the diurnal rhythms in human brain. Resting-state functional magnetic resonance imaging (RS-fMRI) reflects spontaneous activities and/or the endogenous neurophysiological process of the human brain. In the present study, we applied the ReHo (regional homogeneity) and ALFF (amplitude of low frequency fluctuation) based on RS-fMRI to explore the regional differences in the spontaneous cerebral activities throughout the entire brain between the morning and evening sessions within a 24-h time cycle. Wide spread brain areas were found to exhibit diurnal variations, which may be attributed to the internal molecular systems regulated by clock genes, and the environmental factors including light-dark cycle, daily activities and homeostatic sleep drive. Notably, the diurnal variation of default mode network (DMN) suggests that there is an adaptation or compensation response within the subregions of DMN, implying a balance or a decoupling of regulation between these regions.
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Affiliation(s)
- Chunxiang Jiang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China
| | - Li Yi
- Department of Neurology, Peking University Shenzhen Hospital Shenzhen, China
| | - Shi Su
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China
| | - Caiyun Shi
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China
| | - Xiaojing Long
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China
| | - Guoxi Xie
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China
| | - Lijuan Zhang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China
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26
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Bollettini I, Melloni EMT, Aggio V, Poletti S, Lorenzi C, Pirovano A, Vai B, Dallaspezia S, Colombo C, Benedetti F. Clock genes associate with white matter integrity in depressed bipolar patients. Chronobiol Int 2016; 34:212-224. [DOI: 10.1080/07420528.2016.1260026] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Irene Bollettini
- Department of Clinical Neurosciences, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
- C.E.R.M.A.C. (Centro di Eccellenza Risonanza Magnetica ad Alto Campo), University Vita-Salute San Raffaele, Milan, Italy
- PhD program in Philosophy and Sciences of Mind, University Vita-Salute San Raffaele, Milan, Italy
| | - Elisa Maria Teresa Melloni
- Department of Clinical Neurosciences, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
- C.E.R.M.A.C. (Centro di Eccellenza Risonanza Magnetica ad Alto Campo), University Vita-Salute San Raffaele, Milan, Italy
- PhD program in Molecular Medicine, University Vita-Salute San Raffaele, Milan, Italy
| | - Veronica Aggio
- Department of Clinical Neurosciences, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
- C.E.R.M.A.C. (Centro di Eccellenza Risonanza Magnetica ad Alto Campo), University Vita-Salute San Raffaele, Milan, Italy
| | - Sara Poletti
- Department of Clinical Neurosciences, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
- C.E.R.M.A.C. (Centro di Eccellenza Risonanza Magnetica ad Alto Campo), University Vita-Salute San Raffaele, Milan, Italy
| | - Cristina Lorenzi
- Department of Clinical Neurosciences, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
| | - Adele Pirovano
- Department of Clinical Neurosciences, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
| | - Benedetta Vai
- Department of Clinical Neurosciences, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
- C.E.R.M.A.C. (Centro di Eccellenza Risonanza Magnetica ad Alto Campo), University Vita-Salute San Raffaele, Milan, Italy
- PhD program in Evolutionary Psychopathology, Libera Università Maria SS. Assunta, Rome, Italy
| | - Sara Dallaspezia
- Department of Clinical Neurosciences, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
- C.E.R.M.A.C. (Centro di Eccellenza Risonanza Magnetica ad Alto Campo), University Vita-Salute San Raffaele, Milan, Italy
| | - Cristina Colombo
- Department of Clinical Neurosciences, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
| | - Francesco Benedetti
- Department of Clinical Neurosciences, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
- C.E.R.M.A.C. (Centro di Eccellenza Risonanza Magnetica ad Alto Campo), University Vita-Salute San Raffaele, Milan, Italy
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27
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Trefler A, Sadeghi N, Thomas AG, Pierpaoli C, Baker CI, Thomas C. Impact of time-of-day on brain morphometric measures derived from T1-weighted magnetic resonance imaging. Neuroimage 2016; 133:41-52. [PMID: 26921714 DOI: 10.1016/j.neuroimage.2016.02.034] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Revised: 01/02/2016] [Accepted: 02/10/2016] [Indexed: 01/08/2023] Open
Abstract
Measures of brain morphometry derived from T1-weighted (T1W) magnetic resonance imaging (MRI) are widely used to elucidate the relation between brain structure and function. However, the computation of T1W morphometric measures can be confounded by subject-related factors such as head motion and level of hydration. A recent study reported subtle yet significant changes in brain volume from morning to evening in a large group of patient populations as well as in healthy elderly individuals. In addition, there is a growing recognition that factors such as circadian rhythm can impact MRI measures of brain function and structure. Here, we provide a comprehensive assessment of the impact of time-of-day (TOD) on widely used measures of brain morphometry in a group of 19 healthy young adults. Our results show that (a) even in a small group of healthy adult volunteers, a highly significant reduction in apparent brain volume, from morning to evening, could be detected; (b) the apparent volume of all three major tissue compartments - gray matter, white matter, and cerebrospinal fluid - were influenced by TOD, and the magnitude of the TOD effect varied across the tissue compartments; (c) measures of cortical thickness, cortical surface area, and gray matter density computed with widely used neuroimaging software suites (i.e., FreeSurfer, FSL-VBM) were all affected by TOD, while other measures, such as curvature indices and sulcal depth, were not; and (d) the effect of TOD appeared to have a greater impact on morphometric measures of the frontal and temporal lobe than on other major lobes of the brain. Our results suggest that the TOD effect is a physiological phenomenon and that controlling for the effect of TOD is crucial for proper interpretation of apparent structural differences measured with T1W morphometry.
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Affiliation(s)
- Aaron Trefler
- Section on Learning and Plasticity, National Institute of Mental Health, United States
| | - Neda Sadeghi
- Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, United States
| | - Adam G Thomas
- Section on Functional Imaging Methods, National Institute of Mental Health, United States
| | - Carlo Pierpaoli
- Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, United States
| | - Chris I Baker
- Section on Learning and Plasticity, National Institute of Mental Health, United States
| | - Cibu Thomas
- Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, United States; Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, United States.
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28
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Bernardi G, Cecchetti L, Siclari F, Buchmann A, Yu X, Handjaras G, Bellesi M, Ricciardi E, Kecskemeti SR, Riedner BA, Alexander AL, Benca RM, Ghilardi MF, Pietrini P, Cirelli C, Tononi G. Sleep reverts changes in human gray and white matter caused by wake-dependent training. Neuroimage 2016; 129:367-377. [PMID: 26812659 DOI: 10.1016/j.neuroimage.2016.01.020] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Revised: 01/08/2016] [Accepted: 01/09/2016] [Indexed: 01/25/2023] Open
Abstract
Learning leads to rapid microstructural changes in gray (GM) and white (WM) matter. Do these changes continue to accumulate if task training continues, and can they be reverted by sleep? We addressed these questions by combining structural and diffusion weighted MRI and high-density EEG in 16 subjects studied during the physiological sleep/wake cycle, after 12 h and 24 h of intense practice in two different tasks, and after post-training sleep. Compared to baseline wake, 12 h of training led to a decline in cortical mean diffusivity. The decrease became even more significant after 24 h of task practice combined with sleep deprivation. Prolonged practice also resulted in decreased ventricular volume and increased GM and WM subcortical volumes. All changes reverted after recovery sleep. Moreover, these structural alterations predicted cognitive performance at the individual level, suggesting that sleep's ability to counteract performance deficits is linked to its effects on the brain microstructure. The cellular mechanisms that account for the structural effects of sleep are unknown, but they may be linked to its role in promoting the production of cerebrospinal fluid and the decrease in synapse size and strength, as well as to its recently discovered ability to enhance the extracellular space and the clearance of brain metabolites.
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Affiliation(s)
- Giulio Bernardi
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA; Laboratory of Clinical Biochemistry and Molecular Biology, University of Pisa, Pisa 56126, Italy; Clinical Psychology Branch, University of Pisa, AOUP Santa Chiara, Pisa 56126, Italy
| | - Luca Cecchetti
- Laboratory of Clinical Biochemistry and Molecular Biology, University of Pisa, Pisa 56126, Italy; Clinical Psychology Branch, University of Pisa, AOUP Santa Chiara, Pisa 56126, Italy
| | - Francesca Siclari
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA
| | - Andreas Buchmann
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA
| | - Xiaoqian Yu
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA
| | - Giacomo Handjaras
- Laboratory of Clinical Biochemistry and Molecular Biology, University of Pisa, Pisa 56126, Italy; Clinical Psychology Branch, University of Pisa, AOUP Santa Chiara, Pisa 56126, Italy
| | - Michele Bellesi
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA
| | - Emiliano Ricciardi
- Laboratory of Clinical Biochemistry and Molecular Biology, University of Pisa, Pisa 56126, Italy; Clinical Psychology Branch, University of Pisa, AOUP Santa Chiara, Pisa 56126, Italy
| | - Steven R Kecskemeti
- Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin, Madison, WI 53705, USA
| | - Brady A Riedner
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA
| | - Andrew L Alexander
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA; Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin, Madison, WI 53705, USA; Dept. of Medical Physics, University of Wisconsin, Madison, WI 53705, USA
| | - Ruth M Benca
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA
| | - M Felice Ghilardi
- Dept. of Physiology and Pharmacology, City University of New York Medical School, New York, NY 10031, USA
| | - Pietro Pietrini
- Laboratory of Clinical Biochemistry and Molecular Biology, University of Pisa, Pisa 56126, Italy; Clinical Psychology Branch, University of Pisa, AOUP Santa Chiara, Pisa 56126, Italy; IMT School for Advanced Studies Lucca, Lucca 55100, Italy.
| | - Chiara Cirelli
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA.
| | - Giulio Tononi
- Dept. of Psychiatry, University of Wisconsin, Madison, WI 53719, USA.
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29
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Elvsåshagen T, Norbom LB, Pedersen PØ, Quraishi SH, Bjørnerud A, Malt UF, Groote IR, Westlye LT. Widespread changes in white matter microstructure after a day of waking and sleep deprivation. PLoS One 2015; 10:e0127351. [PMID: 26020651 PMCID: PMC4447359 DOI: 10.1371/journal.pone.0127351] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2014] [Accepted: 04/14/2015] [Indexed: 12/12/2022] Open
Abstract
Background Elucidating the neurobiological effects of sleep and waking remains an important goal of the neurosciences. Recently, animal studies indicated that sleep is important for cell membrane and myelin maintenance in the brain and that these structures are particularly susceptible to insufficient sleep. Here, we tested the hypothesis that a day of waking and sleep deprivation would be associated with changes in diffusion tensor imaging (DTI) indices of white matter microstructure sensitive to axonal membrane and myelin alterations. Methods Twenty-one healthy adult males underwent DTI in the morning [7:30AM; time point (TP)1], after 14 hours of waking (TP2), and then after another 9 hours of waking (TP3). Whole brain voxel-wise analysis was performed with tract based spatial statistics. Results A day of waking was associated with widespread increases in white matter fractional anisotropy, which were mainly driven by radial diffusivity reductions, and sleep deprivation was associated with widespread fractional anisotropy decreases, which were mainly explained by reductions in axial diffusivity. In addition, larger decreases in axial diffusivity after sleep deprivation were associated with greater sleepiness. All DTI changes remained significant after adjusting for hydration measures. Conclusions This is the first DTI study of sleep deprivation in humans. Although previous studies have observed localized changes in DTI indices of cerebral microstructure over the course of a few hours, further studies are needed to confirm widespread DTI changes within hours of waking and to clarify whether such changes in white matter microstructure serve as neurobiological substrates of sleepiness.
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Affiliation(s)
- Torbjørn Elvsåshagen
- Department of Psychosomatic Medicine, Institution of Oslo University Hospital, Oslo, Norway
- Department of Neurology, Institution of Oslo University Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research (NORMENT)/KG Jebsen Centre for Psychosis Research, Institution of Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- * E-mail:
| | - Linn B. Norbom
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Per Ø. Pedersen
- Department of Psychosomatic Medicine, Institution of Oslo University Hospital, Oslo, Norway
| | - Sophia H. Quraishi
- Barnard College, Columbia University, New York, NY, United States of America
| | - Atle Bjørnerud
- The Intervention Centre, Institution of Oslo University Hospital, Oslo, Norway
- Department of Physics (AB), University of Oslo, Oslo, Norway
| | - Ulrik F. Malt
- Department of Psychosomatic Medicine, Institution of Oslo University Hospital, Oslo, Norway
- Department of Research and Education, Institution of Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Inge R. Groote
- The Intervention Centre, Institution of Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Lars T. Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT)/KG Jebsen Centre for Psychosis Research, Institution of Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
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