Age-dependent differences in brain tissue microstructure assessed with neurite orientation dispersion and density imaging

[1]  Thomas W. McAllister,et al.  Age effects and sex differences in human brain white matter of young to middle-aged adults: A DTI, NODDI, and q-space study , 2016, NeuroImage.

[2]  Stamatios N. Sotiropoulos,et al.  An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging , 2016, NeuroImage.

[3]  Susan M. Chang,et al.  Clinically feasible NODDI characterization of glioma using multiband EPI at 7 T , 2015, NeuroImage: Clinical.

[4]  Julien Cohen-Adad,et al.  In vivo histology of the myelin g-ratio with magnetic resonance imaging , 2015, NeuroImage.

[5]  S. Nagarajan,et al.  White Matter Changes of Neurite Density and Fiber Orientation Dispersion during Human Brain Maturation , 2015, PloS one.

[6]  R. Peeters,et al.  Age-related microstructural differences quantified using myelin water imaging and advanced diffusion MRI , 2015, Neurobiology of Aging.

[7]  M. Mallar Chakravarty,et al.  Superficial white matter as a novel substrate of age-related cognitive decline , 2015, Neurobiology of Aging.

[8]  Sébastien Ourselin,et al.  Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI , 2015, NeuroImage.

[9]  Daniel C. Alexander,et al.  Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo , 2015, NeuroImage.

[10]  Jelle Veraart,et al.  One diffusion acquisition and different white matter models: How does microstructure change in human early development based on WMTI and NODDI? , 2015, NeuroImage.

[11]  M. Chakravarty,et al.  Functional Consequences of Neurite Orientation Dispersion and Density in Humans across the Adult Lifespan , 2015, The Journal of Neuroscience.

[12]  Ganesh Adluru,et al.  Assessment of white matter microstructure in stroke patients using NODDI , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[13]  Hui Zhang,et al.  White matter microstructure pathology in classic galactosemia revealed by neurite orientation dispersion and density imaging , 2014, Journal of Inherited Metabolic Disease.

[14]  Hui Zhang,et al.  Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models , 2014, NeuroImage.

[15]  Jean-Philippe Thiran,et al.  Connectivity and tissue microstructural alterations in right and left temporal lobe epilepsy revealed by diffusion spectrum imaging , 2014, NeuroImage: Clinical.

[16]  A. Dale,et al.  What is normal in normal aging? Effects of aging, amyloid and Alzheimer's disease on the cerebral cortex and the hippocampus , 2014, Progress in Neurobiology.

[17]  A. Bizzi,et al.  NODDI Performs Better Than DTI in Brain Tumors with Vasogenic Edema , 2014 .

[18]  Cam Wheeler-Kingshott,et al.  An investigation of brain neurite density and dispersion in multiple sclerosis using single shell diffusion imaging. , 2014 .

[19]  Hui Zhang,et al.  Advanced diffusion imaging sequences could aid assessing patients with focal cortical dysplasia and epilepsy☆ , 2014, Epilepsy Research.

[20]  A. Leemans,et al.  Investigating the long-term effects of systemic chemotherapy on brain white matter using multi-shell diffusion MRI and myelin water imaging , 2014 .

[21]  Derek K. Jones,et al.  Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging , 2013, Human brain mapping.

[22]  Christina M. Weaver,et al.  Dendritic spine changes associated with normal aging , 2013, Neuroscience.

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

[24]  Thomas R. Knösche,et al.  White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI , 2013, NeuroImage.

[25]  Adam M. Brickman,et al.  Testing the white matter retrogenesis hypothesis of cognitive aging , 2012, Neurobiology of Aging.

[26]  Daniel C. Alexander,et al.  NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain , 2012, NeuroImage.

[27]  Bernhard Hemmer,et al.  An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis , 2012, NeuroImage.

[28]  Menno P. Witter,et al.  A pathophysiological framework of hippocampal dysfunction in ageing and disease , 2011, Nature Reviews Neuroscience.

[29]  C. Lebel,et al.  Longitudinal Development of Human Brain Wiring Continues from Childhood into Adulthood , 2011, The Journal of Neuroscience.

[30]  J. Morris,et al.  The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease , 2011, Alzheimer's & Dementia.

[31]  Anders M. Dale,et al.  Consistent neuroanatomical age-related volume differences across multiple samples , 2011, Neurobiology of Aging.

[32]  E. Pannese.  Morphological changes in nerve cells during normal aging , 2011, Brain Structure and Function.

[33]  Brian B. Avants,et al.  An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data , 2011, Neuroinformatics.

[34]  Yee Lee Shing,et al.  Aging Neuroscience , 2022 .

[35]  N. Schuff,et al.  Hippocampal atrophy patterns in mild cognitive impairment and Alzheimer's disease , 2010, Human brain mapping.

[36]  A. Dale,et al.  Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry. , 2010, Cerebral cortex.

[37]  Sterling C. Johnson,et al.  White Matter in Aging and Cognition: A Cross-Sectional Study of Microstructure in Adults Aged Eighteen to Eighty-Three , 2010, Developmental neuropsychology.

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

[39]  A. Dale,et al.  One-Year Brain Atrophy Evident in Healthy Aging , 2009, The Journal of Neuroscience.

[40]  Naftali Raz,et al.  Pattern of normal age-related regional differences in white matter microstructure is modified by vascular risk , 2009, Brain Research.

[41]  A. Dale,et al.  High consistency of regional cortical thinning in aging across multiple samples. , 2009, Cerebral cortex.

[42]  M. Weiner,et al.  Selective effect of age, Apo e4, and Alzheimer's disease on hippocampal subfields , 2009, Hippocampus.

[43]  R. Green,et al.  Trail Making Test errors in normal aging, mild cognitive impairment, and dementia. , 2008, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[44]  Andrew L. Alexander,et al.  Hybrid diffusion imaging , 2007, NeuroImage.

[45]  Charan Ranganath,et al.  Prefrontal Cortex and Long-Term Memory Encoding: An Integrative Review of Findings from Neuropsychology and Neuroimaging , 2007, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[46]  T Shallice,et al.  Regional frontal injuries cause distinct impairments in cognitive control , 2007, Neurology.

[47]  Karen M Rodrigue,et al.  Vascular health and longitudinal changes in brain and cognition in middle-aged and older adults. , 2007, Neuropsychology.

[48]  A. Pfefferbaum,et al.  Diffusion tensor imaging and aging , 2006, Neuroscience & Biobehavioral Reviews.

[49]  N. Ayache,et al.  Log‐Euclidean metrics for fast and simple calculus on diffusion tensors , 2006, Magnetic resonance in medicine.

[50]  M. O’Sullivan,et al.  White matter damage on diffusion tensor imaging correlates with age-related cognitive decline , 2006, Neurology.

[51]  B. Hermann,et al.  Middle-Aged Children of Persons With Alzheimer’s Disease: APOE Genotypes and Cognitive Function in the Wisconsin Registry for Alzheimer’s Prevention , 2005, Journal of geriatric psychiatry and neurology.

[52]  Paul A. Yushkevich,et al.  Deformable Registration of Diffusion Tensor MR Images with Explicit Orientation Optimization , 2005, MICCAI.

[53]  Terry L. Jernigan,et al.  Changes in volume with age—consistency and interpretation of observed effects , 2005, Neurobiology of Aging.

[54]  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.

[55]  A. Dale,et al.  Age-related alterations in white matter microstructure measured by diffusion tensor imaging , 2005, Neurobiology of Aging.

[56]  A. Dale,et al.  Thinning of the cerebral cortex in aging. , 2004, Cerebral cortex.

[57]  D. Head,et al.  Differential vulnerability of anterior white matter in nondemented aging with minimal acceleration in dementia of the Alzheimer type: evidence from diffusion tensor imaging. , 2004, Cerebral cortex.

[58]  T. Tombaugh.  Trail Making Test A and B: normative data stratified by age and education. , 2004, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[59]  Scott A. Huettel,et al.  Diffusion tensor imaging of adult age differences in cerebral white matter: relation to response time , 2004, NeuroImage.

[60]  Faith M. Gunning-Dixon,et al.  Neuroanatomical correlates of selected executive functions in middle-aged and older adults: a prospective MRI study , 2003, Neuropsychologia.

[61]  Karen M Rodrigue,et al.  Hypertension and the brain: vulnerability of the prefrontal regions and executive functions. , 2003, Behavioral neuroscience.

[62]  B. Pakkenberg,et al.  Marked loss of myelinated nerve fibers in the human brain with age , 2003, The Journal of comparative neurology.

[63]  Stephen M Smith,et al.  Fast robust automated brain extraction , 2002, Human brain mapping.

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

[65]  H. Uylings,et al.  Neuronal Changes in Normal Human Aging and Alzheimer's Disease , 2002, Brain and Cognition.

[66]  J. Sandell,et al.  Effects of age on nerve fibers in the rhesus monkey optic nerve , 2001, The Journal of comparative neurology.

[67]  Faith M. Gunning-Dixon,et al.  The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. , 2000, Neuropsychology.

[68]  B. Reisberg,et al.  Retrogenesis: clinical, physiologic, and pathologic mechanisms in brain aging, Alzheimer’s and other dementing processes , 1999, European Archives of Psychiatry and Clinical Neuroscience.

[69]  A. Peters,et al.  Ballooning of myelin sheaths in normally aged macaques , 1998, Journal of neurocytology.

[70]  B. Pakkenberg,et al.  Age-Induced White Matter Changes in the Human Brain: A Stereological Investigation , 1997, Neurobiology of Aging.

[71]  B. Anderson,et al.  Age and hemisphere effects on dendritic structure. , 1996, Brain : a journal of neurology.

[72]  F. Aboitiz,et al.  Age-related changes in fibre composition of the human corpus callosum: sex differences. , 1996, Neuroreport.

[73]  R W Cox,et al.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.

[74]  L. Thal,et al.  A validation study of the Dementia Questionnaire. , 1994, Archives of neurology.

[75]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[76]  M. Lezak,et al.  Neuropsychological assessment, 4th ed. , 2004 .

[77]  M. N. Mitruchina.  Rey Auditory-Verbal Learning Test , 1999 .