Characterization of Atrophic Changes in the Cerebral Cortex Using Fractal Dimensional Analysis

[1]  Joseph V. Hajnal,et al.  A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T) , 2010, NeuroImage.

[2]  Tianzi Jiang,et al.  A robust and accurate algorithm for estimating the complexity of the cortical surface , 2008, Journal of Neuroscience Methods.

[3]  Nick C Fox,et al.  The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods , 2008, Journal of magnetic resonance imaging : JMRI.

[4]  Guang H. Yue,et al.  Quantifying degeneration of white matter in normal aging using fractal dimension , 2007, Neurobiology of Aging.

[5]  Joaquín Goñi,et al.  Fractal dimension and white matter changes in multiple sclerosis , 2007, NeuroImage.

[6]  Yuan Qi,et al.  Cortical Surface Shape Analysis Based on Spherical Wavelets , 2007, IEEE Transactions on Medical Imaging.

[7]  Kiralee M. Hayashi,et al.  Tracking Alzheimer's Disease , 2007, Annals of the New York Academy of Sciences.

[8]  Soon Beom Hong,et al.  Fractal dimension in human cortical surface: Multiple regression analysis with cortical thickness, sulcal depth, and folding area , 2006, Human brain mapping.

[9]  N. Schuff,et al.  Different regional patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia. , 2006, Brain : a journal of neurology.

[10]  Anders M. Dale,et al.  Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer , 2006, NeuroImage.

[11]  Stephen Lawrie,et al.  Automated computation of the Gyrification Index in prefrontal lobes: Methods and comparison with manual implementation , 2006, NeuroImage.

[12]  Anders M. Dale,et al.  Selective increase of cortical thickness in high-performing elderly—structural indices of optimal cognitive aging , 2006, NeuroImage.

[13]  Jing Z. Liu,et al.  A three-dimensional fractal analysis method for quantifying white matter structure in human brain , 2006, Journal of Neuroscience Methods.

[14]  D. Shattuck,et al.  The human cerebral cortex on MRI: value of the coronal plane , 2005, Surgical and Radiologic Anatomy.

[15]  Lei Wang,et al.  Neuroanatomical predictors of response to donepezil therapy in patients with dementia. , 2005, Archives of neurology.

[16]  C. Jack,et al.  Brain atrophy rates predict subsequent clinical conversion in normal elderly and amnestic MCI , 2005, Neurology.

[17]  Anders M. Dale,et al.  Neuroanatomical aging: Universal but not uniform , 2005, Neurobiology of Aging.

[18]  M. Albert,et al.  Increased hippocampal activation in mild cognitive impairment compared to normal aging and AD , 2005, Neurology.

[19]  Michael I. Miller,et al.  Preclinical detection of Alzheimer's disease: hippocampal shape and volume predict dementia onset in the elderly , 2005, NeuroImage.

[20]  Guido Gerig,et al.  Unbiased diffeomorphic atlas construction for computational anatomy , 2004, NeuroImage.

[21]  Sun I. Kim,et al.  Analysis of the hemispheric asymmetry using fractal dimension of a skeletonized cerebral surface , 2004, IEEE Transactions on Biomedical Engineering.

[22]  Philip Scheltens,et al.  Medial temporal lobe atrophy on MRI predicts dementia in patients with mild cognitive impairment , 2004, Neurology.

[23]  Jing Z. Liu,et al.  Fractal dimension in human cerebellum measured by magnetic resonance imaging. , 2003, Biophysical journal.

[24]  Dorothee P. Auer,et al.  Is the brain cortex a fractal? , 2003, NeuroImage.

[25]  Michael I. Miller,et al.  Changes in hippocampal volume and shape across time distinguish dementia of the Alzheimer type from healthy aging☆ , 2003, NeuroImage.

[26]  A. Dale,et al.  Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.

[27]  Martin Styner,et al.  Shape versus Size: Improved Understanding of the Morphology of Brain Structures , 2001, MICCAI.

[28]  H F Jelinek,et al.  Use of fractal theory in neuroscience: methods, advantages, and potential problems. , 2001, Methods.

[29]  Karl J. Friston,et al.  A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.

[30]  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.

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

[32]  R. Killiany,et al.  Use of structural magnetic resonance imaging to predict who will get Alzheimer's disease , 2000, Annals of neurology.

[33]  Nick C Fox,et al.  Using serial registered brain magnetic resonance imaging to measure disease progression in Alzheimer disease: power calculations and estimates of sample size to detect treatment effects. , 2000, Archives of neurology.

[34]  L. Roberts.  Tracking Alzheimer's. , 1999, U.S. news & world report.

[35]  C. Jack,et al.  Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment , 1999, Neurology.

[36]  Anders M. Dale,et al.  Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.

[37]  A. Dale,et al.  Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.

[38]  A. Toga,et al.  Cortical variability and asymmetry in normal aging and Alzheimer's disease. , 1998, Cerebral cortex.

[39]  J. Morris,et al.  Clinical Dementia Rating: A Reliable and Valid Diagnostic and Staging Measure for Dementia of the Alzheimer Type , 1997, International Psychogeriatrics.

[40]  H. E. Stanley,et al.  Determination of fractal dimension of physiologically characterized neurons in two and three dimensions , 1995, Journal of Neuroscience Methods.

[41]  A. Galaburda,et al.  Topographical variation of the human primary cortices: implications for neuroimaging, brain mapping, and neurobiology. , 1993, Cerebral cortex.

[42]  Hideki Takayasu,et al.  Fractals in the Physical Sciences , 1990 .

[43]  W. B. Marks,et al.  A fractal analysis of cell images , 1989, Journal of Neuroscience Methods.

[44]  S. Majumdar,et al.  The fractal dimension of cerebral surfaces using magnetic resonance images , 1988 .

[45]  Benoit B. Mandelbrot,et al.  Fractal Geometry of Nature , 1984 .

[46]  I. Good,et al.  Fractals: Form, Chance and Dimension , 1978 .

[47]  S. Folstein,et al.  “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician , 1975 .

[48]  A. Schleicher,et al.  The human pattern of gyrification in the cerebral cortex , 2004, Anatomy and Embryology.

[49]  Nikos Makris,et al.  Automatically parcellating the human cerebral cortex. , 2004, Cerebral cortex.

[50]  A. Toga,et al.  New approaches in brain morphometry. , 2002, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[51]  R. Woods,et al.  Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas. , 2001, Cerebral cortex.

[52]  Cees Jonker,et al.  Medial temporal lobe atrophy and memory dysfunction as predictors for dementia in subjects with mild cognitive impairment , 1999, Journal of Neurology.

[53]  D. Herbert.  Chaos and the changing nature of science and medicine: an introduction, Mobile, AL April 1995 , 1996 .

[54]  D R Fish,et al.  Fractal description of cerebral cortical patterns in frontal lobe epilepsy. , 1995, European neurology.

[55]  G. V. Van Hoesen,et al.  The topographical and neuroanatomical distribution of neurofibrillary tangles and neuritic plaques in the cerebral cortex of patients with Alzheimer's disease. , 1991, Cerebral cortex.

[56]  M A Hofman,et al.  The fractal geometry of convoluted brains. , 1991, Journal fur Hirnforschung.

[57]  Hofman Ma.  The fractal geometry of convoluted brains. , 1991 .

[58]  H L Loats,et al.  Quantitative shape analysis of the temporal and prefrontal lobes of schizophrenic patients: a magnetic resonance image study. , 1990, The Journal of neuropsychiatry and clinical neurosciences.

[59]  A. Schleicher,et al.  Gyrification in the cerebral cortex of primates. , 1989, Brain, behavior and evolution.