Desperately seeking grey matter volume changes in sleep apnea: A methodological review of magnetic resonance brain voxel-based morphometry studies.
暂无分享,去创建一个
Chantal Delon-Martin | Michel Dojat | Jean-Louis Pépin | Frédéric Roche | Sébastien Celle | J. Pépin | C. Delon-Martin | M. Dojat | J. Barthélémy | F. Roche | S. Celle | Jean-Claude Barthélémy
[1] Michel Dojat,et al. A critical review of the neuroimaging literature on synesthesia , 2015, Front. Hum. Neurosci..
[2] Jean-Michel Hupé,et al. Statistical inferences under the Null hypothesis: common mistakes and pitfalls in neuroimaging studies , 2015, Front. Neurosci..
[3] Luke A Henderson,et al. Brainstem changes associated with increased muscle sympathetic drive in obstructive sleep apnoea , 2014, NeuroImage.
[4] Alan Wee-Chung Liew,et al. Neurocognitive dysfunction and grey matter density deficit in children with obstructive sleep apnoea. , 2014, Sleep medicine.
[5] Richard S. J. Frackowiak,et al. Influence of magnetic field strength and image registration strategy on voxel‐based morphometry in a study of Alzheimer's disease , 2014, Human brain mapping.
[6] Brian A. Nosek,et al. Publication and other reporting biases in cognitive sciences: detection, prevalence, and prevention , 2014, Trends in Cognitive Sciences.
[7] C. Guilleminault,et al. Volumetric Brain Morphometry Changes in Patients with Obstructive Sleep Apnea Syndrome: Effects of CPAP Treatment and Literature Review , 2014, Front. Neurol..
[8] Harald E. Möller,et al. Impact of image acquisition on voxel-based-morphometry investigations of age-related structural brain changes , 2014, NeuroImage.
[9] Raymond Salvador,et al. Validity of modulation and optimal settings for advanced voxel-based morphometry , 2014, NeuroImage.
[10] G. Tomlinson,et al. Obstructive Sleep Apnea and Risk of Cardiovascular Events and All-Cause Mortality: A Decade-Long Historical Cohort Study , 2014, PLoS medicine.
[11] G. Cumming,et al. The New Statistics , 2014, Psychological science.
[12] Guy B. Williams,et al. A brief history of voxel-based grey matter analysis in Alzheimer's disease. , 2013, Journal of Alzheimer's disease : JAD.
[13] Andrea Mechelli,et al. Evidence of reporting biases in voxel‐based morphometry (VBM) studies of psychiatric and neurological disorders , 2013, Human brain mapping.
[14] Y. Tsai,et al. Mapping gray matter reductions in obstructive sleep apnea: an activation likelihood estimation meta-analysis. , 2014, Sleep.
[15] Kannan Ramar,et al. Effect of obstructive sleep apnea on type 2 diabetes mellitus: A comprehensive literature review. , 2013, World journal of diabetes.
[16] Michael Ingre,et al. Why small low-powered studies are worse than large high-powered studies and how to protect against “trivial” findings in research: Comment on Friston (2012) , 2013, NeuroImage.
[17] Naoto Hayashi,et al. Effects of the use of multiple scanners and of scanner upgrade in longitudinal voxel‐based morphometry studies , 2013, Journal of magnetic resonance imaging : JMRI.
[18] Martin A. Lindquist,et al. Ironing out the statistical wrinkles in “ten ironic rules” , 2013, NeuroImage.
[19] Karl J. Friston. Sample size and the fallacies of classical inference , 2013, NeuroImage.
[20] C. Annweiler,et al. Blood pressure levels and brain volume reduction: a systematic review and meta-analysis , 2013, Journal of hypertension.
[21] L. Ferini-Strambi,et al. Effects of continuous positive airway pressure on cognitition and neuroimaging data in sleep apnea. , 2013, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[22] Daniel A. Sternberg,et al. The largest human cognitive performance dataset reveals insights into the effects of lifestyle factors and aging , 2013, Front. Hum. Neurosci..
[23] Annette Sterr,et al. Is DARTEL‐based voxel‐based morphometry affected by width of smoothing kernel and group size? A study using simulated atrophy , 2013, Journal of magnetic resonance imaging : JMRI.
[24] Chunshui Yu,et al. Altered resting-state brain activity in obstructive sleep apnea. , 2013, Sleep.
[25] Michael Deppe,et al. Brainstem Involvement as a Cause of Central Sleep Apnea: Pattern of Microstructural Cerebral Damage in Patients with Cerebral Microangiopathy , 2013, PloS one.
[26] Brian A. Nosek,et al. Power failure: why small sample size undermines the reliability of neuroscience , 2013, Nature Reviews Neuroscience.
[27] David B. Keator,et al. Towards structured sharing of raw and derived neuroimaging data across existing resources , 2012, NeuroImage.
[28] John Ashburner,et al. SPM: A history , 2012, NeuroImage.
[29] Karl J. Friston. Ten ironic rules for non-statistical reviewers , 2012, NeuroImage.
[30] Zachary J. Schwab,et al. Voxel-based morphometric gray matter correlates of daytime sleepiness , 2012, Neuroscience Letters.
[31] Erik B. Erhardt,et al. Data Visualization in the Neurosciences: Overcoming the Curse of Dimensionality , 2012, Neuron.
[32] Satrajit S. Ghosh,et al. Data sharing in neuroimaging research , 2012, Front. Neuroinform..
[33] Progressive Gray Matter Changes in Patients with Congenital Central Hypoventilation Syndrome , 2012, Pediatric Research.
[34] G. Jackson,et al. Magnetic resonance spectroscopy and neurocognitive dysfunction in obstructive sleep apnea before and after CPAP treatment. , 2012, Sleep.
[35] E. Wagenmakers,et al. Erroneous analyses of interactions in neuroscience: a problem of significance , 2011, Nature Neuroscience.
[36] N. K. Focke,et al. Multi-site voxel-based morphometry — Not quite there yet , 2011, NeuroImage.
[37] Andrea Falini,et al. Obstructive sleep apnea: brain structural changes and neurocognitive function before and after treatment. , 2011, American journal of respiratory and critical care medicine.
[38] M. Morrell,et al. The brain in sleep-disordered breathing: a vote for the chicken? , 2011, American journal of respiratory and critical care medicine.
[39] Maria Grazia Marciani,et al. Cognitive profile and brain morphological changes in obstructive sleep apnea , 2011, NeuroImage.
[40] Thomas E. Nichols,et al. False positives in neuroimaging genetics using voxel-based morphometry data , 2011, NeuroImage.
[41] D. V. Essen,et al. Cognitive neuroscience 2.0: building a cumulative science of human brain function , 2010, Trends in Cognitive Sciences.
[42] G. Pell,et al. Changes in brain morphology in patients with obstructive sleep apnoea , 2010, Thorax.
[43] Wiro J. Niessen,et al. Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods , 2010, NeuroImage.
[44] Karl J. Friston,et al. Topological FDR for neuroimaging , 2010, NeuroImage.
[45] Minah Suh,et al. Reduced brain gray matter concentration in patients with obstructive sleep apnea syndrome. , 2010, Sleep.
[46] Roland Peyron,et al. Lack of specific gray matter alterations in restless legs syndrome in elderly subjects , 2010, Journal of Neurology.
[47] Adam G. Thomas,et al. Functional but not structural changes associated with learning: An exploration of longitudinal Voxel-Based Morphometry (VBM) , 2009, NeuroImage.
[48] R. Peyron,et al. Undiagnosed sleep‐related breathing disorders are associated with focal brainstem atrophy in the elderly , 2009, Human brain mapping.
[49] Arno Klein,et al. Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration , 2009, NeuroImage.
[50] D. Rodenstein. Sleep Apnea: Traffic and Occupational Accidents – Individual Risks, Socioeconomic and Legal Implications , 2009, Respiration.
[51] Arvid Lundervold,et al. Evaluation of automated brain MR image segmentation and volumetry methods , 2009, Human brain mapping.
[52] B. Desgranges,et al. A combined neuropsychological and brain imaging study of obstructive sleep apnea , 2009, Journal of sleep research.
[53] Marie Chupin,et al. Can voxel based morphometry, manual segmentation and automated segmentation equally detect hippocampal volume differences in acute depression? , 2009, NeuroImage.
[54] D. Louis Collins,et al. Sensitivity of voxel-based morphometry analysis to choice of imaging protocol at 3 T , 2009, NeuroImage.
[55] Arthur W. Toga,et al. The myth of the normal, average human brain—The ICBM experience: (1) Subject screening and eligibility , 2009, NeuroImage.
[56] Michael A Yassa,et al. A quantitative evaluation of cross-participant registration techniques for MRI studies of the medial temporal lobe , 2009, NeuroImage.
[57] I. Lyoo,et al. Gray matter deficits in young adults with narcolepsy , 2009, Acta neurologica Scandinavica.
[58] Graeme D. Jackson,et al. Selection of the control group for VBM analysis: Influence of covariates, matching and sample size , 2008, NeuroImage.
[59] Manuel Schabus,et al. Neuroimaging insights into the pathophysiology of sleep disorders. , 2008, Sleep.
[60] Nick C. Fox,et al. Ten simple rules for reporting voxel-based morphometry studies , 2008, NeuroImage.
[61] S. Shea,et al. Polysomnographic respiratory abnormalities in asymptomatic individuals. , 2008, Sleep.
[62] Hiroshi Fukuda,et al. Relationship Between Body Mass Index and Gray Matter Volume in 1,428 Healthy Individuals , 2008, Obesity.
[63] Shan Shen,et al. VBM lesion detection depends on the normalization template: a study using simulated atrophy. , 2007, Magnetic resonance imaging.
[64] John Ashburner,et al. A fast diffeomorphic image registration algorithm , 2007, NeuroImage.
[65] Jörn Diedrichsen,et al. A spatially unbiased atlas template of the human cerebellum , 2006, NeuroImage.
[66] Habib Zaidi,et al. Comparative assessment of statistical brain MR image segmentation algorithms and their impact on partial volume correction in PET , 2006, NeuroImage.
[67] Clifford R. Jack,et al. Comparison of different methodological implementations of voxel-based morphometry in neurodegenerative disease , 2005, NeuroImage.
[68] Robert J Pierce,et al. Cerebral structural changes in severe obstructive sleep apnea. , 2005, American journal of respiratory and critical care medicine.
[69] Jose M Marin,et al. Long-term cardiovascular outcomes in men with obstructive sleep apnoea-hypopnoea with or without treatment with continuous positive airway pressure: an observational study , 2005, The Lancet.
[70] B. Abrams. Add Alzheimer's to the list of sleep apnea consequences. , 2005, Medical hypotheses.
[71] Thomas E. Nichols,et al. Nonstationary cluster-size inference with random field and permutation methods , 2004, NeuroImage.
[72] D. Louis Collins,et al. Retrospective evaluation of intersubject brain registration , 2003, IEEE Transactions on Medical Imaging.
[73] Mary J Morrell,et al. Changes in brain morphology associated with obstructive sleep apnea. , 2003, Sleep medicine.
[74] D. Gozal,et al. Increased susceptibility to intermittent hypoxia in aging rats: changes in proteasomal activity, neuronal apoptosis and spatial function , 2003, Journal of neurochemistry.
[75] Mary A Woo,et al. Regional Brain Gray Matter Loss in Heart Failure. , 2003, Journal of applied physiology.
[76] Jeffry R Alger,et al. Brain morphology associated with obstructive sleep apnea. , 2002, American journal of respiratory and critical care medicine.
[77] T. Young,et al. Epidemiology of obstructive sleep apnea: a population health perspective. , 2002, American journal of respiratory and critical care medicine.
[78] Thomas E. Nichols,et al. Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate , 2002, NeuroImage.
[79] Fred L. Bookstein,et al. “Voxel-Based Morphometry” Should Not Be Used with Imperfectly Registered Images , 2001, NeuroImage.
[80] Karl J. Friston,et al. A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.
[81] Karl J. Friston,et al. Voxel-Based Morphometry—The Methods , 2000, NeuroImage.
[82] E. Bixler,et al. Effects of age on sleep apnea in men: I. Prevalence and severity. , 1998, American journal of respiratory and critical care medicine.
[83] Karl J. Friston,et al. Combining Spatial Extent and Peak Intensity to Test for Activations in Functional Imaging , 1997, NeuroImage.
[84] Alan C. Evans,et al. A Three-Dimensional Statistical Analysis for CBF Activation Studies in Human Brain , 1992, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.