Multimodal investigation of the association between shift work and the brain in a population-based sample of older adults
暂无分享,去创建一个
S. Moebus | S. Caspers | N. Dragano | C. Jockwitz | H. Korf | Nóra Bittner | J. Stumme | B. Schmidt
[1] Christian Gaser,et al. CAT-A Computational Anatomy Toolbox for the Analysis of Structural MRI Data , 2016 .
[2] A. Fagan,et al. Segregation of functional networks is associated with cognitive resilience in Alzheimer's disease. , 2021, Brain : a journal of neurology.
[3] Erlend S. Dørum,et al. Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3–90 years , 2021, Human brain mapping.
[4] K. Amunts,et al. When your brain looks older than expected: combined lifestyle risk and BrainAGE , 2021, Brain structure & function.
[5] Katrin Amunts,et al. Functional network reorganization in older adults: Graph-theoretical analyses of age, cognition and sex , 2020, NeuroImage.
[6] C. Oberlinner,et al. Shift-specific associations between age, chronotype and sleep duration , 2019, Chronobiology international.
[7] John P. A. Ioannidis,et al. Exploration, Inference, and Prediction in Neuroscience and Biomedicine , 2019, Trends in Neurosciences.
[8] A. Bagshaw,et al. Circadian phenotype impacts the brain’s resting-state functional connectivity, attentional performance, and sleepiness , 2019, Sleep.
[9] Thomas W. Mühleisen,et al. Combining lifestyle risks to disentangle brain structure and functional connectivity differences in older adults , 2019, Nature Communications.
[10] K. Amunts,et al. Generalizing age effects on brain structure and cognition: A two‐study comparison approach , 2019, Human brain mapping.
[11] Philip S. Insel,et al. Associations between tau, Aβ, and cortical thickness with cognition in Alzheimer disease , 2019, Neurology.
[12] R. F. Dard,et al. Targeting hippocampal adult neurogenesis using transcription factors to reduce Alzheimer's disease‐associated memory impairments , 2018, Hippocampus.
[13] C. McClung,et al. Rhythms of life: circadian disruption and brain disorders across the lifespan , 2018, Nature Reviews Neuroscience.
[14] A. Adamantidis,et al. Sleep-wake control and the thalamus , 2018, Current Opinion in Neurobiology.
[15] K. Yuan,et al. Abnormalities of thalamus volume and resting state functional connectivity in primary insomnia patients , 2018, Brain Imaging and Behavior.
[16] E. Maywood,et al. Generation of circadian rhythms in the suprachiasmatic nucleus , 2018, Nature Reviews Neuroscience.
[17] Bruce Fischl,et al. False positive rates in surface-based anatomical analysis , 2018, NeuroImage.
[18] C. Finan,et al. Linear regression and the normality assumption. , 2017, Journal of clinical epidemiology.
[19] Gagan S Wig,et al. Segregated Systems of Human Brain Networks , 2017, Trends in Cognitive Sciences.
[20] T. Yarkoni,et al. Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning , 2017, Perspectives on psychological science : a journal of the Association for Psychological Science.
[21] Christos Davatzikos,et al. Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity , 2017, NeuroImage.
[22] Alok Kumar Dwivedi,et al. Analysis of small sample size studies using nonparametric bootstrap test with pooled resampling method , 2017, Statistics in medicine.
[23] Ben D. Fulcher,et al. An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI , 2017, NeuroImage.
[24] Evan M. Gordon,et al. Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI , 2017, bioRxiv.
[25] Efstathios D. Gennatas,et al. Age-Related Effects and Sex Differences in Gray Matter Density, Volume, Mass, and Cortical Thickness from Childhood to Young Adulthood , 2017, The Journal of Neuroscience.
[26] H. V. Van Dongen,et al. Shift Work: Disrupted Circadian Rhythms and Sleep—Implications for Health and Well-being , 2017, Current Sleep Medicine Reports.
[27] Soroosh Afyouni,et al. Insight and inference for DVARS , 2017, NeuroImage.
[28] Simon B. Eickhoff,et al. Influence of age and cognitive performance on resting-state brain networks of older adults in a population-based cohort , 2017, Cortex.
[29] C. Drake,et al. Shift Work and Cognitive Flexibility: Decomposing Task Performance , 2017, Journal of biological rhythms.
[30] Timothy O. Laumann,et al. Evaluation of Denoising Strategies to Address Motion-Correlated Artifacts in Resting-State Functional Magnetic Resonance Imaging Data from the Human Connectome Project , 2016, Brain Connect..
[31] L. Lind,et al. Association between shift work history and performance on the trail making test in middle-aged and elderly humans: the EpiHealth study , 2016, Neurobiology of Aging.
[32] A. Soltanian,et al. Effects of Shift Work on Cognitive Performance, Sleep Quality, and Sleepiness among Petrochemical Control Room Operators , 2016, Journal of circadian rhythms.
[33] M. Chun,et al. Functional connectome fingerprinting: Identifying individuals based on patterns of brain connectivity , 2015, Nature Neuroscience.
[34] R. Sapolsky,et al. Stress and the brain: individual variability and the inverted-U , 2015, Nature Neuroscience.
[35] Chiara Nosarti,et al. Alterations in cortical thickness development in preterm-born individuals: Implications for high-order cognitive functions , 2015, NeuroImage.
[36] Alberto Llera,et al. ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data , 2015, NeuroImage.
[37] Denise C. Park,et al. Decreased segregation of brain systems across the healthy adult lifespan , 2014, Proceedings of the National Academy of Sciences.
[38] Simon Folkard,et al. Chronic effects of shift work on cognition: findings from the VISAT longitudinal study , 2014, Occupational and Environmental Medicine.
[39] Justus J. Randolph,et al. A Step-by-Step Guide to Propensity Score Matching in R , 2014 .
[40] Alan C. Evans,et al. Studying variability in human brain aging in a population-based German cohort—rationale and design of 1000BRAINS , 2014, Front. Aging Neurosci..
[41] M. Nasterlack,et al. A retrospective cohort study of shift work and risk of cancer-specific mortality in German male chemical workers , 2014, International Archives of Occupational and Environmental Health.
[42] Wendy Johnson,et al. Cognitive ability changes and dynamics of cortical thickness development in healthy children and adolescents , 2014, NeuroImage.
[43] Xiang-zhen Kong,et al. Long-term total sleep deprivation reduces thalamic gray matter volume in healthy men , 2013, Neuroreport.
[44] F. Grodstein,et al. Shift work and cognition in the Nurses' Health Study. , 2013, American journal of epidemiology.
[45] L Penke,et al. Childhood cognitive ability accounts for associations between cognitive ability and brain cortical thickness in old age , 2013, Molecular Psychiatry.
[46] Olaf Sporns,et al. Network attributes for segregation and integration in the human brain , 2013, Current Opinion in Neurobiology.
[47] Céline Vetter,et al. Chronotype Modulates Sleep Duration, Sleep Quality, and Social Jet Lag in Shift-Workers , 2013, Journal of biological rhythms.
[48] Mark W. Woolrich,et al. FSL , 2012, NeuroImage.
[49] Bruce Fischl,et al. FreeSurfer , 2012, NeuroImage.
[50] Edward T. Bullmore,et al. On the use of correlation as a measure of network connectivity , 2012, NeuroImage.
[51] Ecosse L Lamoureux,et al. Are linear regression techniques appropriate for analysis when the dependent (outcome) variable is not normally distributed? , 2012, Investigative ophthalmology & visual science.
[52] Gary King,et al. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference , 2011 .
[53] Daniel B. Wright,et al. Using Bootstrap Estimation and the Plug-in Principle for Clinical Psychology Data , 2011 .
[54] Olaf Sporns,et al. Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.
[55] Denise C. Park,et al. Human neuroscience and the aging mind: a new look at old problems. , 2010, The journals of gerontology. Series B, Psychological sciences and social sciences.
[56] Andrzej Urbanik,et al. DIURNAL PATTERNS OF ACTIVITY OF THE ORIENTING AND EXECUTIVE ATTENTION NEURONAL NETWORKS IN SUBJECTS PERFORMING A STROOP-LIKE TASK: A FUNCTIONAL MAGNETIC RESONANCE IMAGING STUDY , 2010, Chronobiology international.
[57] Robert E. Slavin,et al. The Relationship Between Sample Sizes and Effect Sizes in Systematic Reviews in Education , 2009 .
[58] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[59] J. Pariente,et al. Early diagnosis of Alzheimer's disease using cortical thickness: impact of cognitive reserve , 2009, Brain : a journal of neurology.
[60] M. Bax,et al. The role of the thalamus in sleep, pineal melatonin production, and circadian rhythm sleep disorders , 2009, Journal of pineal research.
[61] P. Reuter-Lorenz,et al. Neurocognitive Aging and the Compensation Hypothesis , 2008 .
[62] André J. W. van der Kouwe,et al. Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths , 2008, NeuroImage.
[63] S. Vosburg,et al. Modafinil Attenuates Disruptions in Cognitive Performance During Simulated Night-Shift Work , 2006, Neuropsychopharmacology.
[64] Stephen M. Smith,et al. Investigations into resting-state connectivity using independent component analysis , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[65] Cindy Lustig,et al. Brain aging: reorganizing discoveries about the aging mind , 2005, Current Opinion in Neurobiology.
[66] Mark W. Woolrich,et al. Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.
[67] A. Wirz-Justice,et al. Life between Clocks: Daily Temporal Patterns of Human Chronotypes , 2003, Journal of biological rhythms.
[68] Stephen M Smith,et al. Fast robust automated brain extraction , 2002, Human brain mapping.
[69] B. Griefahn,et al. Melatonin synthesis: a possible indicator of intolerance to shiftwork. , 2002, American journal of industrial medicine.
[70] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[71] D. Grönemeyer,et al. Assessment of clinically silent atherosclerotic disease and established and novel risk factors for predicting myocardial infarction and cardiac death in healthy middle-aged subjects: rationale and design of the Heinz Nixdorf RECALL Study. Risk Factors, Evaluation of Coronary Calcium and Lifestyle. , 2002, American heart journal.
[72] R. Mohs,et al. Consortium to establish a registry for Alzheimer's disease (CERAD) clinical and neuropsychological assessment of Alzheimer's disease. , 2002, Psychopharmacology bulletin.
[73] A. Dale,et al. Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.
[74] Kwangwook Cho,et al. Chronic 'jet lag' produces temporal lobe atrophy and spatial cognitive deficits , 2001, Nature Neuroscience.
[75] Stephen M. Smith,et al. A global optimisation method for robust affine registration of brain images , 2001, Medical Image Anal..
[76] A M Dale,et al. Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[77] R. Mayeux,et al. Differential regional dysfunction of the hippocampal formation among elderly with memory decline and Alzheimer's disease , 1999, Annals of neurology.
[78] A. Dale,et al. Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.
[79] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[80] Stephen M. Smith,et al. SUSAN—A New Approach to Low Level Image Processing , 1997, International Journal of Computer Vision.
[81] R. Kirk. Practical Significance: A Concept Whose Time Has Come , 1996 .
[82] Marianne Regard,et al. Children's Production on Verbal and Non-Verbal Fluency Tasks , 1982, Perceptual and motor skills.
[83] Jacob Cohen. Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.
[84] Qolamreza R. Razlighi,et al. Optimal slice timing correction and its interaction with fMRI parameters and artifacts , 2017, Medical Image Anal..
[85] A. Schleicher,et al. Age- and function-related regional changes in cortical folding of the default mode network in older adults , 2016, Brain Structure and Function.
[86] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[87] C. Callaway,et al. The relationship between shift work, sleep, and cognition in career emergency physicians. , 2012, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.
[88] Denise C. Park,et al. The adaptive brain: aging and neurocognitive scaffolding. , 2009, Annual review of psychology.
[89] Jürgen H. P. Hoffmeyer-Zlotnik,et al. Advances in cross-national comparison : a European working book for demographic and socio-economic variables , 2003 .
[90] H. Soininen,et al. Volumes of hippocampus, amygdala and frontal lobes in the MRI-based diagnosis of early Alzheimer's disease: Correlation with memory functions , 1995, Journal of neural transmission. Parkinson's disease and dementia section.
[91] J. Stroop. Studies of interference in serial verbal reactions. , 1992 .