Estimates of age-dependent cutoffs for pathological brain volume loss using SIENA/FSL—a longitudinal brain volumetry study in healthy adults

[1]  Roland Opfer,et al.  Global and regional annual brain volume loss rates in physiological aging , 2017, Journal of Neurology.

[2]  F. Barkhof Brain atrophy measurements should be used to guide therapy monitoring in MS – NO , 2016, Multiple sclerosis.

[3]  M. Battaglini,et al.  Establishing pathological cut-offs of brain atrophy rates in multiple sclerosis , 2015, Journal of Neurology, Neurosurgery & Psychiatry.

[4]  F. Barkhof,et al.  The SIENA/FSL whole brain atrophy algorithm is no more reproducible at 3T than 1.5T for Alzheimer׳s disease , 2014, Psychiatry Research: Neuroimaging.

[5]  A. Dale,et al.  Critical ages in the life course of the adult brain: nonlinear subcortical aging , 2013, Neurobiology of Aging.

[6]  O. Ciccarelli,et al.  Brain atrophy and lesion load predict long term disability in multiple sclerosis , 2013, Journal of Neurology, Neurosurgery & Psychiatry.

[7]  Gerard R. Ridgway,et al.  Symmetric Diffeomorphic Modeling of Longitudinal Structural MRI , 2013, Front. Neurosci..

[8]  C Confavreux,et al.  Reliability of Longitudinal Brain Volume Loss Measurements between 2 Sites in Patients with Multiple Sclerosis: Comparison of 7 Quantification Techniques , 2012, American Journal of Neuroradiology.

[9]  K. Ohtomo,et al.  A longitudinal study of brain volume changes in normal aging. , 2012, European journal of radiology.

[10]  L. Jäncke,et al.  Brain structural trajectories over the adult lifespan , 2012, Human brain mapping.

[11]  R. Kahn,et al.  Human brain changes across the life span: A review of 56 longitudinal magnetic resonance imaging studies , 2012, Human brain mapping.

[12]  Mark Jenkinson,et al.  Optimizing parameter choice for FSL-Brain Extraction Tool (BET) on 3D T1 images in multiple sclerosis , 2012, NeuroImage.

[13]  Giovanni B. Frisoni,et al.  Assessing the reproducibility of the SienaX and Siena brain atrophy measures using the ADNI back-to-back MP-RAGE MRI scans , 2011, Psychiatry Research: Neuroimaging.

[14]  Hiroshi Fukuda,et al.  A longitudinal study of gray matter volume decline with age and modifying factors , 2011, Neurobiology of Aging.

[15]  D. Marcus,et al.  Open Access Series of Imaging Studies: Longitudinal MRI Data in Nondemented and Demented Older Adults , 2010, Journal of Cognitive Neuroscience.

[16]  D. Chard,et al.  Grey matter pathology in clinically early multiple sclerosis: Evidence from magnetic resonance imaging , 2009, Journal of the Neurological Sciences.

[17]  A. Dale,et al.  Minute Effects of Sex on the Aging Brain: A Multisample Magnetic Resonance Imaging Study of Healthy Aging and Alzheimer's Disease , 2009, The Journal of Neuroscience.

[18]  S. Resnick,et al.  Longitudinal pattern of regional brain volume change differentiates normal aging from MCI , 2009, Neurology.

[19]  A. Weindl,et al.  Voxel-Based Morphometry in Individual Patients: A Pilot Study in Early Huntington Disease , 2009, American Journal of Neuroradiology.

[20]  David H. Miller,et al.  Gray matter atrophy is related to long‐term disability in multiple sclerosis , 2008, Annals of neurology.

[21]  C. Jack,et al.  Atrophy rates accelerate in amnestic mild cognitive impairment , 2008, Neurology.

[22]  John G. Csernansky,et al.  Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults , 2007, Journal of Cognitive Neuroscience.

[23]  Nick C. Fox,et al.  Longitudinal and cross-sectional analysis of atrophy in Alzheimer's disease: Cross-validation of BSI, SIENA and SIENAX , 2007, NeuroImage.

[24]  P. Matthews,et al.  Risk factors for progression of brain atrophy in aging , 2005, Neurology.

[25]  Nick C Fox,et al.  A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging. , 2003, Archives of neurology.

[26]  Stephen M. Smith,et al.  Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis , 2002, NeuroImage.

[27]  R W Baloh,et al.  Brain Volume Changes on Longitudinal Magnetic Resonance Imaging in Normal Older People , 2001, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[28]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[29]  J. Kaye,et al.  Brain volume preserved in healthy elderly through the eleventh decade , 1998, Neurology.