Metric to quantify white matter damage on brain magnetic resonance images

[1]  P. Koudstaal,et al.  Grading white matter lesions on CT and MRI: a simple scale. , 1990, Journal of neurology, neurosurgery, and psychiatry.

[2]  F. Barkhof,et al.  CT and MRI Rating of White Matter Lesions , 2002, Cerebrovascular Diseases.

[3]  P. Scheltens,et al.  Impact of White Matter Hyperintensities Scoring Method on Correlations With Clinical Data: The LADIS Study , 2006, Stroke.

[4]  Michael Brady,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[5]  C. Pernet,et al.  The Role of Pitch and Timbre in Voice Gender Categorization , 2012, Front. Psychology.

[6]  P. Scheltens,et al.  Measuring progression of cerebral white matter lesions on MRI , 2004, Neurology.

[7]  Kirsten Shuler,et al.  Blood–Brain Barrier Permeability and Long-Term Clinical and Imaging Outcomes in Cerebral Small Vessel Disease , 2013, Stroke.

[8]  Maria del C. Valdés Hernández,et al.  Automatic segmentation of brain white matter and white matter lesions in normal aging: comparison of five multispectral techniques. , 2012, Magnetic resonance imaging.

[9]  I. Deary,et al.  Brain Aging, Cognition in Youth and Old Age and Vascular Disease in the Lothian Birth Cohort 1936: Rationale, Design and Methodology of the Imaging Protocol* , 2011, International journal of stroke : official journal of the International Stroke Society.

[10]  Karen J. Ferguson,et al.  White matter hyperintensities and rating scales—observer reliability varies with lesion load , 2004, Journal of Neurology.

[11]  P. Visscher,et al.  The Lothian Birth Cohort 1936: a study to examine influences on cognitive ageing from age 11 to age 70 and beyond , 2007, BMC geriatrics.

[12]  Alireza Atri,et al.  An Overview of Longitudinal Data Analysis Methods for Neurological Research , 2011, Dementia and Geriatric Cognitive Disorders Extra.

[13]  V. Hachinski,et al.  Clinical correlates of white-matter changes on magnetic resonance imaging scans of the brain. , 1991, Archives of neurology.

[14]  Joanna M. Wardlaw,et al.  Stroke subtype, vascular risk factors, and total MRI brain small-vessel disease burden , 2014, Neurology.

[15]  Frederik Barkhof,et al.  White Matter Hyperintensities Relate to Clinical Progression in Subjective Cognitive Decline , 2015, Stroke.

[16]  Ian J Deary,et al.  Cohort profile: the Lothian Birth Cohorts of 1921 and 1936. , 2012, International journal of epidemiology.

[17]  Karl J. Friston,et al.  Unified segmentation , 2005, NeuroImage.

[18]  Guillaume A. Rousselet,et al.  Robust Correlation Analyses: False Positive and Power Validation Using a New Open Source Matlab Toolbox , 2012, Front. Psychology.

[19]  Stephen M. Smith,et al.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.

[20]  Paolo Perrotta,et al.  Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review , 2015, Neuroinformatics.

[21]  K. Krishnan,et al.  Development of a semi-automated method for quantification of MRI gray and white matter lesions in geriatric subjects , 2002, Psychiatry Research: Neuroimaging.

[22]  Karen J. Ferguson,et al.  New multispectral MRI data fusion technique for white matter lesion segmentation: method and comparison with thresholding in FLAIR images , 2010, European Radiology.

[23]  Stephen Senn,et al.  Change from baseline and analysis of covariance revisited , 2006, Statistics in medicine.

[24]  J. Babb,et al.  Dirty-appearing white matter in multiple sclerosis: volumetric MR imaging and magnetization transfer ratio histogram analysis. , 2003, AJNR. American journal of neuroradiology.

[25]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[26]  Joanna M. Wardlaw,et al.  On the computational assessment of white matter hyperintensity progression: difficulties in method selection and bias field correction performance on images with significant white matter pathology , 2016, Neuroradiology.

[27]  A. Beckett,et al.  AKUFO AND IBARAPA. , 1965, Lancet.

[28]  Eleni Sakka,et al.  Integrity of normal-appearing white matter: Influence of age, visible lesion burden and hypertension in patients with small-vessel disease , 2017, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[29]  Charles DeCarli,et al.  Genetic Variation in White Matter Hyperintensity Volume in the Framingham Study , 2004, Stroke.

[30]  J. Wardlaw,et al.  Rationale, design and methodology of the image analysis protocol for studies of patients with cerebral small vessel disease and mild stroke , 2015, Brain and behavior.

[31]  H Lechner,et al.  White matter signal abnormalities in normal individuals: correlation with carotid ultrasonography, cerebral blood flow measurements, and cerebrovascular risk factors. , 1988, Stroke.

[32]  H. Markus,et al.  The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis , 2010, BMJ : British Medical Journal.

[33]  Benjamin S Aribisala,et al.  Close Correlation between Quantitative and Qualitative Assessments of White Matter Lesions , 2012, Neuroepidemiology.

[34]  K. Shimada,et al.  Silent Cerebrovascular Disease in the Elderly Correlation With Ambulatory Pressure , 1990, Hypertension.

[35]  P. Scheltens,et al.  A New Rating Scale for Age-Related White Matter Changes Applicable to MRI and CT , 2001, Stroke.

[36]  Nick C Fox,et al.  Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration , 2013, The Lancet Neurology.

[37]  I. Deary,et al.  Brain hyperintensity location determines outcome in the triad of impaired cognition, physical health and depressive symptoms: A cohort study in late life. , 2016, Archives of gerontology and geriatrics.

[38]  W. Longstreth.  Brain vascular disease overt and covert. , 2005, Stroke.

[39]  D. Harvey,et al.  Anatomical Mapping of White Matter Hyperintensities (WMH): Exploring the Relationships Between Periventricular WMH, Deep WMH, and Total WMH Burden , 2005, Stroke.