Age Differences in Prefrontal Surface Area and Thickness in Middle Aged to Older Adults
暂无分享,去创建一个
Adam J. Woods | Stephen D. Anton | Todd M. Manini | M. McLaren | A. Woods | S. Anton | T. Manini | V. Dotson | C. Sozda | A. O'Shea | Vonetta M. Dotson | Sarah M. Szymkowicz | S. Szymkowicz | Joshua W. Kirton | Mackenzie L. Green | Andrew O’Shea | Christopher N. Sozda | Molly E. McLaren
[1] N. Raz,et al. Differential Aging of the Brain: Patterns, Cognitive Correlates and Modifiers , 2022 .
[2] 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.
[3] C. DeCarli,et al. Midlife vascular risk factor exposure accelerates structural brain aging and cognitive decline , 2011, Alzheimer's & Dementia.
[4] P. Rakic,et al. Decision by division: making cortical maps , 2009, Trends in Neurosciences.
[5] Marianna D. Eddy,et al. Regionally localized thinning of the cerebral cortex in schizophrenia , 2003, Schizophrenia Research.
[6] D. Head,et al. Selective aging of the human cerebral cortex observed in vivo: differential vulnerability of the prefrontal gray matter. , 1997, Cerebral cortex.
[7] Alan C. Evans,et al. A nonparametric method for automatic correction of intensity nonuniformity in MRI data , 1998, IEEE Transactions on Medical Imaging.
[8] S. Resnick,et al. Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain , 2003, The Journal of Neuroscience.
[9] G. Sapiro,et al. The development of gyrification in childhood and adolescence , 2010, Brain and Cognition.
[10] Bruce Fischl,et al. Highly accurate inverse consistent registration: A robust approach , 2010, NeuroImage.
[11] Torsten Rohlfing,et al. Variation in longitudinal trajectories of regional brain volumes of healthy men and women (ages 10 to 85years) measured with atlas-based parcellation of MRI , 2013, NeuroImage.
[12] S A Small,et al. Evaluating the function of hippocampal subregions with high‐resolution MRI in Alzheimer's disease and aging , 2000, Microscopy research and technique.
[13] Michael I. Posner,et al. Imaging attention networks , 2012, NeuroImage.
[14] A. Dale,et al. High consistency of regional cortical thinning in aging across multiple samples. , 2009, Cerebral cortex.
[15] A. Dale,et al. Regional and progressive thinning of the cortical ribbon in Huntington’s disease , 2002, Neurology.
[16] D. Head,et al. Differential aging of the medial temporal lobe , 2004, Neurology.
[17] Anders M. Dale,et al. Sequence-independent segmentation of magnetic resonance images , 2004, NeuroImage.
[18] M. Posner,et al. Cognitive and emotional influences in anterior cingulate cortex , 2000, Trends in Cognitive Sciences.
[19] Bensheng Qiu,et al. Healthy aging: an automatic analysis of global and regional morphological alterations of human brain. , 2012, Academic radiology.
[20] A. Dale,et al. One-Year Brain Atrophy Evident in Healthy Aging , 2009, The Journal of Neuroscience.
[21] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[22] Evert F. S. van Velsen,et al. Brain cortical thickness in the general elderly population: The Rotterdam Scan Study , 2013, Neuroscience Letters.
[23] L. Westlye,et al. Differential Longitudinal Changes in Cortical Thickness, Surface Area and Volume across the Adult Life Span: Regions of Accelerating and Decelerating Change , 2014, The Journal of Neuroscience.
[24] S. Resnick,et al. Longitudinal pattern of regional brain volume change differentiates normal aging from MCI , 2009, Neurology.
[25] Anders M. Dale,et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.
[26] John S. Duncan,et al. A longitudinal study of brain morphometrics using quantitative magnetic resonance imaging and difference image analysis , 2003, NeuroImage.
[27] L. Jäncke,et al. Brain structural trajectories over the adult lifespan , 2012, Human brain mapping.
[28] Anders M. Dale,et al. Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex , 2001, IEEE Transactions on Medical Imaging.
[29] John S. Allen,et al. Normal neuroanatomical variation due to age: The major lobes and a parcellation of the temporal region , 2005, Neurobiology of Aging.
[30] R B D'Agostino,et al. Stroke risk profile, brain volume, and cognitive function , 2004, Neurology.
[31] N. Schuff,et al. Different regional patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia. , 2006, Brain : a journal of neurology.
[32] K. Arfanakis,et al. REGIONAL BRAIN CORTICAL THINNING AND SYSTEMIC INFLAMMATION IN OLDER PERSONS WITHOUT DEMENTIA , 2010, Journal of the American Geriatrics Society.
[33] Benjamin Thyreau,et al. A longitudinal study of age‐ and gender‐related annual rate of volume changes in regional gray matter in healthy adults , 2013, Human brain mapping.
[34] Nikos Makris,et al. Automatically parcellating the human cerebral cortex. , 2004, Cerebral cortex.
[35] Ulman Lindenberger,et al. Trajectories of brain aging in middle-aged and older adults: Regional and individual differences , 2010, NeuroImage.
[36] A. Dale,et al. Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry. , 2010, Cerebral cortex.
[37] Aaron Carass,et al. Longitudinal changes in cortical thickness associated with normal aging , 2010, NeuroImage.
[38] C. DeCarli,et al. Predictors of brain morphology for the men of the NHLBI twin study. , 1999, Stroke.
[39] Bruce Fischl,et al. Thickness of the human cerebral cortex is associated with metrics of cerebrovascular health in a normative sample of community dwelling older adults , 2011, NeuroImage.
[40] Oscar L. Lopez,et al. Telephone Interview for Cognitive Status , 2009, Neuroepidemiology.
[41] Miranka Wirth,et al. Vascular risk and Aβ interact to reduce cortical thickness in AD vulnerable brain regions , 2014, Neurology.
[42] S. Rombouts,et al. Associations between age and gray matter volume in anatomical brain networks in middle-aged to older adults , 2014, Aging Cell.
[43] M. First,et al. Structured clinical interview for DSM-IV axis II personality disorders : SCID-II , 1997 .
[44] P. Rakic. Evolution of the neocortex: Perspective from developmental biology , 2010 .
[45] Philip S. Insel,et al. Nonlinear time course of brain volume loss in cognitively normal and impaired elders , 2012, Neurobiology of Aging.
[46] A. Dale,et al. Distinct genetic influences on cortical surface area and cortical thickness. , 2009, Cerebral cortex.
[47] Anderson M. Winkler,et al. Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies , 2010, NeuroImage.
[48] B. Howard,et al. The telephone interview. , 1988, Applied nursing research : ANR.
[49] C. Büchel,et al. Temporal and Spatial Dynamics of Brain Structure Changes during Extensive Learning , 2006, The Journal of Neuroscience.
[50] Gabriele Lohmann,et al. Characterization of cortical thickness and ventricular width in normal aging: A morphometric study at 3 Tesla , 2006, Journal of magnetic resonance imaging : JMRI.
[51] C. Franceschi,et al. Age-related inflammation: the contribution of different organs, tissues and systems. How to face it for therapeutic approaches. , 2010, Current pharmaceutical design.
[52] Andreas Engvig,et al. Effects of memory training on cortical thickness in the elderly , 2010, NeuroImage.
[53] C. DeCarli,et al. Biobehavioral characteristics of nondemented older adults with subclinical brain atrophy , 2000, Neurology.
[54] Peng Yuan,et al. Regional brain shrinkage over two years: Individual differences and effects of pro-inflammatory genetic polymorphisms , 2014, NeuroImage.
[55] Bruce Fischl,et al. Geometrically Accurate Topology-Correction of Cortical Surfaces Using Nonseparating Loops , 2007, IEEE Transactions on Medical Imaging.
[56] D. Salat,et al. Greater orbital prefrontal volume selectively predicts worse working memory performance in older adults. , 2002, Cerebral cortex.
[57] Larson J. Hogstrom,et al. The structure of the cerebral cortex across adult life: age-related patterns of surface area, thickness, and gyrification. , 2013, Cerebral cortex.
[58] R. N. Spreng,et al. Reliable differences in brain activity between young and old adults: A quantitative meta-analysis across multiple cognitive domains , 2010, Neuroscience & Biobehavioral Reviews.
[59] Anders M. Fjell,et al. Heterogeneity in Subcortical Brain Development: A Structural Magnetic Resonance Imaging Study of Brain Maturation from 8 to 30 Years , 2009, The Journal of Neuroscience.
[60] Anders M. Dale,et al. A hybrid approach to the Skull Stripping problem in MRI , 2001, NeuroImage.
[61] P. Pietrini,et al. Sex differences in human brain morphometry and metabolism: an in vivo quantitative magnetic resonance imaging and positron emission tomography study on the effect of aging. , 1996, Archives of general psychiatry.
[62] R. Woods,et al. Gender effects on cortical thickness and the influence of scaling , 2006, Human brain mapping.
[63] Yiyuan Tang,et al. The anterior cingulate gyrus and the mechanism of self-regulation , 2007, Cognitive, affective & behavioral neuroscience.
[64] C. DeCarli,et al. Inflammatory biomarkers are associated with total brain volume , 2007, Neurology.
[65] A. Meyer-Lindenberg,et al. Normal age-related brain morphometric changes: nonuniformity across cortical thickness, surface area and gray matter volume? , 2012, Neurobiology of Aging.
[66] A. Dale,et al. Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach , 1993, Journal of Cognitive Neuroscience.
[67] Karen M Rodrigue,et al. Brain Aging and Its Modifiers , 2007, Annals of the New York Academy of Sciences.
[68] Jeroen de Bresser,et al. Cerebral cortical thickness in patients with type 2 diabetes , 2010, Journal of the Neurological Sciences.
[69] S. Manuck,et al. Brain morphology links systemic inflammation to cognitive function in midlife adults , 2015, Brain, Behavior, and Immunity.
[70] A. Dale,et al. Accelerating cortical thinning: unique to dementia or universal in aging? , 2014, Cerebral cortex.
[71] Karen M Rodrigue,et al. Vascular health and longitudinal changes in brain and cognition in middle-aged and older adults. , 2007, Neuropsychology.
[72] Suzanne E. Welcome,et al. Mapping cortical change across the human life span , 2003, Nature Neuroscience.
[73] Cheryl L. Dahle,et al. Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. , 2005, Cerebral cortex.
[74] Alan C. Evans,et al. Measurement of Cortical Thickness Using an Automated 3-D Algorithm: A Validation Study , 2001, NeuroImage.
[75] Christopher E. Gonzalez,et al. Longitudinal changes in cortical thinning associated with hypertension , 2015, Journal of hypertension.
[76] Jonathan Cavanagh,et al. Cardio-metabolic risk factors and cortical thickness in a neurologically healthy male population: Results from the psychological, social and biological determinants of ill health (pSoBid) study☆☆☆ , 2013, NeuroImage: Clinical.
[77] M Scazufca,et al. Brain Structural Variability due to Aging and Gender in Cognitively Healthy Elders: Results from the São Paulo Ageing and Health Study , 2009, American Journal of Neuroradiology.
[78] O. Lesur,et al. Innate immunosenescence: effect of aging on cells and receptors of the innate immune system in humans. , 2012, Seminars in immunology.
[79] P. Sörös. Increased thickness of the orbitofrontal and anterior cingulate cortex in healthy aging , 2010 .
[80] Anders M. Dale,et al. Selective increase of cortical thickness in high-performing elderly—structural indices of optimal cognitive aging , 2006, NeuroImage.
[81] A. Dale,et al. Thinning of the cerebral cortex in aging. , 2004, Cerebral cortex.
[82] G. Ratcliff,et al. Sex differences in brain aging: a quantitative magnetic resonance imaging study. , 1998, Archives of neurology.