Mapping ventricular expansion onto cortical gray matter in older adults

Adak, 2004, Predicting the rate of cognitive decline in aging and early Alzheimer disease, Neurology, 63, 108, 10.1212/01.WNL.0000132520.69612.AB Annweiler, 2013, Vitamin D concentration and lateral cerebral ventricle volume in older adults, Mol. Nutr. Food Res., 57, 267, 10.1002/mnfr.201200418 Apostolova, 2012, Hippocampal atrophy and ventricular enlargement in normal aging, mild cognitive impairment (MCI), and Alzheimer disease, Alzheimer Dis. Assoc. Disord., 26, 17, 10.1097/WAD.0b013e3182163b62 Benjamini, 1995, Controlling the false discovery rate - a practical and powerful approach to multiple testing, J. Roy Stat. Soc. B Met., 57, 289 Bernal-Rusiel, 2013, Statistical analysis of longitudinal neuroimage data with linear mixed effects models, Neuroimage, 66C, 249, 10.1016/j.neuroimage.2012.10.065 Blatter, 1995, Quantitative volumetric analysis of brain MR: normative database spanning 5 decades of life, AJNR Am. J. Neuroradiol., 16, 241 Bourne, 2012, Ventricular width and complicated recovery following deep brain stimulation surgery, Stereotact. Funct. Neurosurg., 90, 167, 10.1159/000338094 Braak, 1991, Neuropathological stageing of Alzheimer-related changes, Acta Neuropathol., 82, 239, 10.1007/BF00308809 Braskie, 2010, Plaque and tangle imaging and cognition in normal aging and Alzheimer's disease, Neurobiol. Aging, 31, 1669, 10.1016/j.neurobiolaging.2008.09.012 Buckner, 2005, Molecular, structural, and functional characterization of Alzheimer's disease: evidence for a relationship between default activity, amyloid, and memory, J. Neurosci., 25, 7709, 10.1523/JNEUROSCI.2177-05.2005 Carmichael, 2007, Cerebral ventricular changes associated with transitions between normal cognitive function, mild cognitive impairment, and dementia, Alzheimer Dis. Assoc. Disord., 21, 14, 10.1097/WAD.0b013e318032d2b1 Carmichael, 2007, Ventricular volume and dementia progression in the Cardiovascular Health Study, Neurobiol. Aging, 28, 389, 10.1016/j.neurobiolaging.2006.01.006 Cavedo, 2012, Norms for imaging markers of brain reserve, J. Alzheimers Dis., 31, 623, 10.3233/JAD-2012-111817 Chou, 2009, Mapping correlations between ventricular expansion and CSF amyloid and tau biomarkers in 240 subjects with Alzheimer's disease, mild cognitive impairment and elderly controls, Neuroimage, 46, 394, 10.1016/j.neuroimage.2009.02.015 Chou, 2008, Automated ventricular mapping alignment reveals genetic effects with multi-atlas fluid image in Alzheimer's disease, Neuroimage, 40, 615, 10.1016/j.neuroimage.2007.11.047 Chou, 2007, Automated 3D mapping and shape analysis of the lateral ventricles via fluid registration of multiple surface-based atlases, 2007 4th IEEE Int. Symp. Biomed. Imaging Macro Nano, 1288, 10.1109/ISBI.2007.357095 Chou, 2010, Ventricular maps in 804 ADNI subjects: correlations with CSF biomarkers and clinical decline, Neurobiol. Aging, 31, 1386, 10.1016/j.neurobiolaging.2010.05.001 Coffey, 2001, Cognitive correlates of human brain aging: a quantitative magnetic resonance imaging investigation, J. Neuropsychiatry Clin. Neurosci., 13, 471, 10.1176/jnp.13.4.471 Coffey, 1992, Quantitative cerebral anatomy of the aging human brain - a cross-sectional study using magnetic-resonance-imaging, Neurology, 42, 527, 10.1212/WNL.42.3.527 Dale, 1999, Cortical surface-based analysis - I. Segmentation and surface reconstruction, Neuroimage, 9, 179, 10.1006/nimg.1998.0395 Djamanakova, 2013, Diffeomorphic brain mapping based on T1-weighted images: improvement of registration accuracy by multichannel mapping, J. Magn. Reson. Imaging, 37, 76, 10.1002/jmri.23790 Feng, 2013, Associations between elevated homocysteine, cognitive impairment, and reduced white matter volume in healthy old adults, Am. J. Geriatr. Psychiatry, 21, 164, 10.1016/j.jagp.2012.10.017 Ferrarini, 2006, Shape differences of the brain ventricles in Alzheimer's disease, Neuroimage, 32, 1060, 10.1016/j.neuroimage.2006.05.048 Ferrarini, 2008, Ventricular shape biomarkers for Alzheimer's disease in clinical MR images, Magn. Reson. Med., 59, 260, 10.1002/mrm.21471 Fischl, 2000, Measuring the thickness of the human cerebral cortex from magnetic resonance images, Proc. Natl. Acad. Sci. U. S. A., 97, 11050, 10.1073/pnas.200033797 Fischl, 2002, Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain, Neuron, 33, 341, 10.1016/S0896-6273(02)00569-X Fischl, 1999, Cortical surface-based analysis. II: inflation, flattening, and a surface-based coordinate system, Neuroimage, 9, 195, 10.1006/nimg.1998.0396 Fischl, 1999, High-resolution intersubject averaging and a coordinate system for the cortical surface, Hum. Brain Mapp., 8, 272, 10.1002/(SICI)1097-0193(1999)8:4<272::AID-HBM10>3.0.CO;2-4 Fischl, 2004, Automatically parcellating the human cerebral cortex, Cereb. Cortex, 14, 11, 10.1093/cercor/bhg087 Fjell, 2009, Mini-mental state examination is sensitive to brain atrophy in Alzheimer's disease, Dement. Geriatr. Cogn. Disord., 28, 252, 10.1159/000241878 Fjell, 2009, One-year brain atrophy evident in healthy aging, J. Neurosci., 29, 15223, 10.1523/JNEUROSCI.3252-09.2009 Fleisher, 2008, Volumetric MRI vs clinical predictors of Alzheimer disease in mild cognitive impairment, Neurology, 70, 191, 10.1212/01.wnl.0000287091.57376.65 Folstein, 1975, “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician, J. Psychiatr. Res., 12, 189, 10.1016/0022-3956(75)90026-6 Frisoni, 2002, Radial width of the temporal horn: a sensitive measure in Alzheimer disease, Am. J. Neuroradiol., 23, 35 Gong, 2011, Ventricle shape analysis for centenarians, elderly subjects, MCI and AD patients, MBIA LNCS, 7012, 84 Gutman, 2013, Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features, Neuroimage, 70, 386, 10.1016/j.neuroimage.2012.12.052 Han, 2006, Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer, Neuroimage, 32, 180, 10.1016/j.neuroimage.2006.02.051 Hua, 2013, Unbiased tensor-based morphometry: improved robustness and sample size estimates for Alzheimer's disease clinical trials, Neuroimage, 66, 648, 10.1016/j.neuroimage.2012.10.086 Isaac, 2011, Adverse associations between visceral adiposity, brain structure, and cognitive performance in healthy elderly, Front. Aging Neurosci., 3, 12, 10.3389/fnagi.2011.00012 Jack, 2008, The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods, J. Magn. Reson. Imaging, 27, 685, 10.1002/jmri.21049 Jack, 2004, Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD, Neurology, 62, 591, 10.1212/01.WNL.0000110315.26026.EF Jack, 2005, Brain atrophy rates predict subsequent clinical conversion in normal elderly and amnestic MCI, Neurology, 65, 1227, 10.1212/01.wnl.0000180958.22678.91 Jack, 2008, Atrophy rates accelerate in amnestic mild cognitive impairment, Neurology, 70, 1740, 10.1212/01.wnl.0000281688.77598.35 Jernigan, 2001, Effects of age on tissues and regions of the cerebrum and cerebellum, Neurobiol. Aging, 22, 581, 10.1016/S0197-4580(01)00217-2 Kline, 2012, Surgery and brain atrophy in cognitively normal elderly subjects and subjects diagnosed with mild cognitive impairment, Anesthesiology, 116, 603, 10.1097/ALN.0b013e318246ec0b Leow, 2007, Statistical properties of Jacobian maps and the realization of unbiased large-deformation nonlinear image registration, IEEE Trans. Med. Imaging, 26, 822, 10.1109/TMI.2007.892646 Liu, 2010, APOE epsilon 2 allele is associated with larger regional cortical thicknesses and volumes, Dement. Geriatr. Cogn. Disord., 30, 229, 10.1159/000320136 Long, 2012, Healthy aging: an automatic analysis of global and regional morphological alterations of human brain, Acad. Radiol., 19, 785, 10.1016/j.acra.2012.03.006 Longstreth, 1998, Brain abnormalities in the elderly: frequency and predictors in the United States (the Cardiovascular Health Study), J. Neural Transm. Suppl., 53, 9, 10.1007/978-3-7091-6467-9_2 Madsen, 2013, Mapping dynamic changes in ventricular volume onto the cortical surface in normal aging, MCI, and Alzheimer’s disease, Med. Imaging Comput. Comput. Assist. Interv., 8159, 84 Mazziotta, 2001, A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM), Philos. Trans. R. Soc. Lond. B. Biol. Sci., 356, 1293, 10.1098/rstb.2001.0915 Mueller, 2005, Ways toward an early diagnosis in Alzheimer's disease: the Alzheimer's Disease Neuroimaging Initiative (ADNI), Alzheimers Dement., 1, 55, 10.1016/j.jalz.2005.06.003 Murphy, 2010, Six-month atrophy in MTL structures is associated with subsequent memory decline in elderly controls, Neuroimage, 53, 1310, 10.1016/j.neuroimage.2010.07.016 Nestor, 2008, Ventricular enlargement as a possible measure of Alzheimer's disease progression validated using the Alzheimer's disease neuroimaging initiative database, Brain, 131, 2443, 10.1093/brain/awn146 Olesen, 2011, A population-based study on the influence of brain atrophy on 20-year survival after age 85, Neurology, 76, 879, 10.1212/WNL.0b013e31820f2e26 Perlman, 2007 Preul, 2006, Characterization of cortical thickness and ventricular width in normal aging: a morphometric study at 3 Tesla, J. Magn. Reson. Imaging, 24, 513, 10.1002/jmri.20665 Qiu, 2009, Regional shape abnormalities in mild cognitive impairment and Alzheimer's disease, Neuroimage, 45, 656, 10.1016/j.neuroimage.2009.01.013 Resnick, 2000, One-year age changes in MRI brain volumes in older adults, Cereb. Cortex, 10, 464, 10.1093/cercor/10.5.464 Resnick, 2003, Longitudinal magnetic resonance imaging studies of older adults: a shrinking brain, J. Neurosci., 23, 3295, 10.1523/JNEUROSCI.23-08-03295.2003 Ridha, 2008, Volumetric MRI and cognitive measures in Alzheimer disease: comparison of markers of progression, J. Neurol., 255, 567 Sanchez-Benavides, 2010, Manual validation of FreeSurfer's automated hippocampal segmentation in normal aging, mild cognitive impairment, and Alzheimer disease subjects, Psychiatry Res., 181, 219, 10.1016/j.pscychresns.2009.10.011 Schott, 2005, Measuring atrophy in Alzheimer disease: a serial MRI study over 6 and 12 months, Neurology, 65, 119, 10.1212/01.wnl.0000167542.89697.0f Serra, 2010, Grey and white matter changes at different stages of Alzheimer's disease, J. Alzheimers Dis., 19, 147, 10.3233/JAD-2010-1223 Silbert, 2003, Changes in premorbid brain volume predict Alzheimer's disease pathology, Neurology, 61, 487, 10.1212/01.WNL.0000079053.77227.14 Sullivan, 2002, Differential rates of regional brain change in callosal and ventricular size: a 4-year longitudinal MRI study of elderly men, Cereb. Cortex, 12, 438, 10.1093/cercor/12.4.438 2008 Thompson, 2003, Dynamics of gray matter loss in Alzheimer's disease, J. Neurosci., 23, 994, 10.1523/JNEUROSCI.23-03-00994.2003 Thompson, 2004, Mapping hippocampal and ventricular change in Alzheimer disease, Neuroimage, 22, 1754, 10.1016/j.neuroimage.2004.03.040 Wahlund, 1993, Cognitive functions and brain structures: a quantitative study of CSF volumes on Alzheimer patients and healthy control subjects, Magn. Reson. Imaging, 11, 169, 10.1016/0730-725X(93)90021-5 Walhovd, 2005, Effects of age on volumes of cortex, white matter and subcortical structures, Neurobiol. Aging, 26, 1261, 10.1016/j.neurobiolaging.2005.05.020 Wang, 2002, MR image-based measurement of rates of change in volumes of brain structures. Part II: application to a study of Alzheimer's disease and normal aging, Magn. Reson. Imaging, 20, 41, 10.1016/S0730-725X(02)00472-1 Whitwell, 2007, 3D maps from multiple MRI illustrate changing atrophy patterns as subjects progress from mild cognitive impairment to Alzheimer's disease, Brain, 130, 1777, 10.1093/brain/awm112 Wyman, 2012, Standardization of analysis sets for reporting results from ADNI MRI data, Alzheimers Dement., 9, 332, 10.1016/j.jalz.2012.06.004 Zhang, 2010, Acceleration of hippocampal atrophy in a non-demented elderly population: the SNAC-K study, Int. Psychogeriatr., 22, 14, 10.1017/S1041610209991396