Structural Image Analysis of the Brain in Neuropsychology Using Magnetic Resonance Imaging (MRI) Techniques

[1]  G. Li,et al.  Impact of World War I on Brain Mapping. , 2020, Journal of neurosurgical sciences.

[2]  P. Thompson,et al.  Genetics of Brain Structure , 2016 .

[3]  V. Calhoun,et al.  In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia , 2015, Biological Psychiatry.

[4]  Kristen A. Lindgren,et al.  Development and assessment of a new 3D neuroanatomy teaching tool for MRI training , 2015, Anatomical sciences education.

[5]  Megan D. Zannoni,et al.  Comparison of Automated Brain Volume Measures obtained with NeuroQuant® and FreeSurfer , 2015, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[6]  M. Weissman,et al.  Test–retest reliability of freesurfer measurements within and between sites: Effects of visual approval process , 2015, Human brain mapping.

[7]  A. Brickman,et al.  Structural MRI Predictors of Late-Life Cognition Differ Across African Americans, Hispanics, and Whites. , 2015, Current Alzheimer research.

[8]  Tobias Granberg,et al.  Corpus callosum atrophy is strongly associated with cognitive impairment in multiple sclerosis: Results of a 17-year longitudinal study , 2015, Multiple sclerosis.

[9]  Carlo Caltagirone,et al.  Combining Voxel-based Lesion-symptom Mapping (VLSM) With A-tDCS Language Treatment: Predicting Outcome of Recovery in Nonfluent Chronic Aphasia , 2015, Brain Stimulation.

[10]  Nicolas Cherbuin,et al.  Cortical gyrification and its relationships with cortical volume, cortical thickness, and cognitive performance in healthy mid-life adults , 2015, Behavioural Brain Research.

[11]  Lutz Jäncke,et al.  Cerebellar gray and white matter volume and their relation with age and manual motor performance in healthy older adults , 2015, Human brain mapping.

[12]  J. Hodges,et al.  Is the logopenic-variant of primary progressive aphasia a unitary disorder? , 2015, Cortex.

[13]  Kelly M. Spoon,et al.  Hippocampal atrophy varies by neuropsychologically defined MCI among men in their 50s. , 2015, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[14]  F. Verhey,et al.  Can FreeSurfer Compete with Manual Volumetric Measurements in Alzheimer's Disease? , 2015, Current Alzheimer research.

[15]  Tracy Love,et al.  Speech repetition as a window on the neurobiology of auditory–motor integration for speech: A voxel-based lesion symptom mapping study , 2015, Neuropsychologia.

[16]  A. Mechelli,et al.  False positive rates in Voxel-based Morphometry studies of the human brain: Should we be worried? , 2015, Neuroscience & Biobehavioral Reviews.

[17]  D. Hanley,et al.  Longitudinal quantification and visualization of intracerebral haemorrhage using multimodal magnetic resonance and diffusion tensor imaging , 2015, Brain injury.

[18]  S. Holland,et al.  The accuracy of linear indices of ventricular volume in pediatric hydrocephalus: technical note. , 2015, Journal of neurosurgery. Pediatrics.

[19]  Lutz Jäncke,et al.  Reliability and statistical power analysis of cortical and subcortical FreeSurfer metrics in a large sample of healthy elderly , 2015, NeuroImage.

[20]  P. Scheltens,et al.  White matter hyperintensities, cognitive impairment and dementia: an update , 2015, Nature Reviews Neurology.

[21]  Marco Catani,et al.  Brain Mapping: An encyclopedic reference , 2015 .

[22]  P. Eling Kurt Goldstein's test battery , 2015, Cortex.

[23]  B. Hermann,et al.  Children with epilepsy and anxiety: Subcortical and cortical differences , 2015, Epilepsia.

[24]  Joanna M. Wardlaw,et al.  Automated segmentation of multifocal basal ganglia T2*-weighted MRI hypointensities , 2015, NeuroImage.

[25]  C. Sripada,et al.  Modality-Spanning Deficits in Attention-Deficit/Hyperactivity Disorder in Functional Networks, Gray Matter, and White Matter , 2014, The Journal of Neuroscience.

[26]  E. Tolosa,et al.  Structural MRI correlates of the MMSE and pentagon copying test in Parkinson's disease. , 2014, Parkinsonism & related disorders.

[27]  Bertrand Thirion,et al.  How machine learning is shaping cognitive neuroimaging , 2014, GigaScience.

[28]  Lutz Jäncke,et al.  The hypothesis of neuronal interconnectivity as a function of brain size—a general organization principle of the human connectome , 2014, Front. Hum. Neurosci..

[29]  Jane S. Paulsen,et al.  The power-proportion method for intracranial volume correction in volumetric imaging analysis , 2014, Front. Neurosci..

[30]  Andrew Simmons,et al.  The effects of intracranial volume adjustment approaches on multiple regional MRI volumes in healthy aging and Alzheimer's disease , 2014, Front. Aging Neurosci..

[31]  Brian B. Avants,et al.  Relating brain anatomy and cognitive ability using a multivariate multimodal framework , 2014, NeuroImage.

[32]  Nir Shavit,et al.  The big data challenges of connectomics , 2014, Nature Neuroscience.

[33]  Arno Klein,et al.  Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements , 2014, NeuroImage.

[34]  Geert Jan Biessels,et al.  A Critical Appraisal of the Hippocampal Subfield Segmentation Package in FreeSurfer , 2014, Front. Aging Neurosci..

[35]  M. Mesulam,et al.  Asymmetry of cortical decline in subtypes of primary progressive aphasia , 2014, Neurology.

[36]  Philip Lewis,et al.  Volumetrics relate to the development of depression after traumatic brain injury , 2014, Behavioural Brain Research.

[37]  C. Caltagirone,et al.  Exploration of the relationships between regional grey matter atrophy and cognition in multiple sclerosis , 2014, Brain Imaging and Behavior.

[38]  Hans-Jochen Heinze,et al.  Comparing manual and automatic segmentation of hippocampal volumes: Reliability and validity issues in younger and older brains , 2014, Human brain mapping.

[39]  D. Wieczorek,et al.  Diagnostic approach to microcephaly in childhood: a two‐center study and review of the literature , 2014, Developmental medicine and child neurology.

[40]  G. Mirzaa,et al.  Megalencephaly and hemimegalencephaly: Breakthroughs in molecular etiology , 2014, American journal of medical genetics. Part C, Seminars in medical genetics.

[41]  D. Mikulis,et al.  Scale and pattern of atrophy in the chronic stages of moderate-severe TBI , 2014, Front. Hum. Neurosci..

[42]  John D. Van Horn,et al.  Neuroinformatics challenges to the structural, connectomic, functional and electrophysiological multimodal imaging of human traumatic brain injury , 2014, Front. Neuroinform..

[43]  D. Tate,et al.  Preliminary findings of cortical thickness abnormalities in blast injured service members and their relationship to clinical findings , 2014, Brain Imaging and Behavior.

[44]  John O. Willis,et al.  Wechsler Abbreviated Scale of Intelligence , 2014 .

[45]  Sara Llufriu,et al.  Trans‐synaptic axonal degeneration in the visual pathway in multiple sclerosis , 2014, Annals of neurology.

[46]  Guy B. Williams,et al.  A brief history of voxel-based grey matter analysis in Alzheimer's disease. , 2013, Journal of Alzheimer's disease : JAD.

[47]  Vladimir S Fonov,et al.  Jacobian integration method increases the statistical power to measure gray matter atrophy in multiple sclerosis , 2013, NeuroImage: Clinical.

[48]  Abraham Z. Snyder,et al.  Function in the human connectome: Task-fMRI and individual differences in behavior , 2013, NeuroImage.

[49]  Nicholas Lange,et al.  Neuropsychological investigation of motor impairments in autism , 2013, Journal of clinical and experimental neuropsychology.

[50]  Terry L. Jernigan,et al.  Early Adolescent Cortical Thinning Is Related to Better Neuropsychological Performance , 2013, Journal of the International Neuropsychological Society.

[51]  Nagiza F. Samatova,et al.  Complex biomarker discovery in neuroimaging data: Finding a needle in a haystack☆ , 2013, NeuroImage: Clinical.

[52]  Kenneth H. Rubin,et al.  Heterogeneity of brain lesions in pediatric traumatic brain injury. , 2013, Neuropsychology.

[53]  J. Gläscher,et al.  Neuroanatomical Correlates of Executive Functions: A Neuropsychological Approach Using the EXAMINER Battery , 2013, Journal of the International Neuropsychological Society.

[54]  Robert Leech,et al.  Individual prediction of white matter injury following traumatic brain injury , 2013, Annals of neurology.

[55]  Winnie C.W. Chu,et al.  Automated quantification of white matter lesion in magnetic resonance imaging of patients with acute infarction , 2013, Journal of Neuroscience Methods.

[56]  Laura E. Danielian,et al.  Structural imaging differences and longitudinal changes in primary lateral sclerosis and amyotrophic lateral sclerosis☆ , 2012, NeuroImage: Clinical.

[57]  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.

[58]  Andrew Simmons,et al.  Beyond cortical localization in clinico-anatomical correlation , 2012, Cortex.

[59]  Karsten Mueller,et al.  Investigating Structural Brain Changes of Dehydration Using Voxel-Based Morphometry , 2012, PloS one.

[60]  J. Gläscher,et al.  Lesion mapping of cognitive control and value-based decision making in the prefrontal cortex , 2012, Proceedings of the National Academy of Sciences.

[61]  Sterling C. Johnson,et al.  Longitudinal Volumetric Changes following Traumatic Brain Injury: A Tensor-Based Morphometry Study , 2012, Journal of the International Neuropsychological Society.

[62]  Gareth J. Barker,et al.  Quantitative and qualitative assessment of structural magnetic resonance imaging data in a two-center study , 2012, BMC Medical Imaging.

[63]  Ron Mengelers,et al.  The Effects of FreeSurfer Version, Workstation Type, and Macintosh Operating System Version on Anatomical Volume and Cortical Thickness Measurements , 2012, PloS one.

[64]  Donald B. Plewes,et al.  Physics of MRI: A primer , 2012, Journal of magnetic resonance imaging : JMRI.

[65]  I. Melle,et al.  Cortical Volume, Surface Area, and Thickness in Schizophrenia and Bipolar Disorder , 2012, Biological Psychiatry.

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

[67]  Indika S. Walimuni,et al.  Human brain atlas-based multimodal MRI analysis of volumetry, diffusimetry, relaxometry and lesion distribution in multiple sclerosis patients and healthy adult controls: Implications for understanding the pathogenesis of multiple sclerosis and consolidation of quantitative MRI results in MS , 2012, Journal of the Neurological Sciences.

[68]  R. Edelman,et al.  Comprehensive brain analysis with automated high‐resolution magnetization transfer measurements , 2012, Journal of magnetic resonance imaging : JMRI.

[69]  Hiroshi Fukuda,et al.  Correlation among body height, intelligence, and brain gray matter volume in healthy children , 2012, NeuroImage.

[70]  D. Buschhüter,et al.  Correlation between olfactory bulb volume and olfactory function in children and adolescents , 2011, Experimental Brain Research.

[71]  Nick C Fox,et al.  Cortical thickness and voxel-based morphometry in posterior cortical atrophy and typical Alzheimer's disease , 2011, Neurobiology of Aging.

[72]  Owen Carmichael,et al.  White Matter Hyperintensity Penumbra , 2011, Stroke.

[73]  Marko Wilke,et al.  Manual, semi-automated, and automated delineation of chronic brain lesions: A comparison of methods , 2011, NeuroImage.

[74]  A. Börjesson-Hanson,et al.  A population-based study on the influence of brain atrophy on 20-year survival after age 85 , 2011, Neurology.

[75]  B. Miller,et al.  Double dissociation in the anatomy of socioemotional disinhibition and executive functioning in dementia. , 2011, Neuropsychology.

[76]  D. Tate,et al.  Cerebral Volume Loss, Cognitive Deficit, and Neuropsychological Performance: Comparative Measures of Brain Atrophy: II. Traumatic Brain Injury , 2011, Journal of the International Neuropsychological Society.

[77]  P. Rombaux,et al.  Increased olfactory bulb volume and olfactory function in early blind subjects , 2010, Neuroreport.

[78]  R. Bilder Neuropsychology 3.0: Evidence-Based Science and Practice , 2010, Journal of the International Neuropsychological Society.

[79]  Terry L. Jernigan,et al.  The Basics of Brain Development , 2010, Neuropsychology Review.

[80]  Anders M. Dale,et al.  Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature , 2010, NeuroImage.

[81]  Nicholas Lange,et al.  Associations Between IQ, Total and Regional Brain Volumes, and Demography in a Large Normative Sample of Healthy Children and Adolescents , 2010, Developmental neuropsychology.

[82]  Xiaoqi Li,et al.  Diffuse damage in pediatric traumatic brain injury: A comparison of automated versus operator-controlled quantification methods , 2010, NeuroImage.

[83]  M. Bondi,et al.  Heterogeneity in mild cognitive impairment: Differences in neuropsychological profile and associated white matter lesion pathology , 2009, Journal of the International Neuropsychological Society.

[84]  J. Brewer Fully-Automated Volumetric MRI with Normative Ranges: Translation to Clinical Practice , 2009, Behavioural neurology.

[85]  Arthur F. Kramer,et al.  Age-related differences in regional brain volumes: A comparison of optimized voxel-based morphometry to manual volumetry , 2009, Neurobiology of Aging.

[86]  Tor D. Wager,et al.  Luria's legacy in the 21st century , 2009 .

[87]  A. Rovira,et al.  Brain volumetry counterparts of cognitive impairment in patients with multiple sclerosis , 2009, Journal of the Neurological Sciences.

[88]  A. Gean,et al.  Neuroimaging of traumatic brain injury. , 2009, The Mount Sinai journal of medicine, New York.

[89]  Guy B. Williams,et al.  Development of an MRI rating scale for multiple brain regions: comparison with volumetrics and with voxel-based morphometry , 2009, Neuroradiology.

[90]  H. Teuber The Riddle of Frontal Lobe Function in Man , 2009, Neuropsychology Review.

[91]  Chris Rorden,et al.  Lesion Mapping of Cognitive Abilities Linked to Intelligence , 2009, Neuron.

[92]  Eileen Luders,et al.  Neuroanatomical Correlates of Intelligence. , 2009, Intelligence.

[93]  D. Mikulis,et al.  Magnetic resonance imaging evidence of progression of subacute brain atrophy in moderate to severe traumatic brain injury. , 2008, Archives of physical medicine and rehabilitation.

[94]  Thomas Hummel,et al.  Correlation between olfactory bulb volume and olfactory function , 2008, NeuroImage.

[95]  T. Hummel,et al.  Correlation of olfactory function with changes in the volume of the human olfactory bulb. , 2008, Archives of otolaryngology--head & neck surgery.

[96]  A Pfefferbaum,et al.  Neuroradiological characterization of normal adult ageing. , 2007, The British journal of radiology.

[97]  J. Glozman A.R. Luria and the History of Russian Neuropsychology , 2007, Journal of the history of the neurosciences.

[98]  David N. Kennedy,et al.  Human cerebral cortex: A system for the integration of volume- and surface-based representations , 2006, NeuroImage.

[99]  Anders M. Dale,et al.  An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.

[100]  Robert A Barton,et al.  Olfactory evolution and behavioral ecology in primates , 2006, American journal of primatology.

[101]  A. Collins An intimate connection: Oliver Zangwill and the emergence of neuropsychology in Britain. , 2006, History of psychology.

[102]  T. Roberts,et al.  MR pulse sequences: what every radiologist wants to know but is afraid to ask. , 2006, Radiographics : a review publication of the Radiological Society of North America, Inc.

[103]  A. Toga,et al.  Genetics of brain structure and intelligence. , 2005, Annual review of neuroscience.

[104]  Wilkin Chau,et al.  The Talairach coordinate of a point in the MNI space: how to interpret it , 2005, NeuroImage.

[105]  D. Tate,et al.  Cerebral volume loss, cognitive deficit and neuropsychological performance: Comparative measures of brain atrophy: I. Dementia , 2004, Journal of the International Neuropsychological Society.

[106]  Edith V. Sullivan,et al.  Postmortem MR imaging of formalin-fixed human brain , 2004, NeuroImage.

[107]  Ramona O Hopkins,et al.  Clinical Rating of Cortical Atrophy and Cognitive Correlates Following Traumatic Brain Injury , 2004, The Clinical neuropsychologist.

[108]  Nick C Fox,et al.  Neuroimaging tools to rate regional atrophy, subcortical cerebrovascular disease, and regional cerebral blood flow and metabolism: consensus paper of the EADC , 2003, Journal of neurology, neurosurgery, and psychiatry.

[109]  S. Millis Statistical Practices: The Seven Deadly Sins , 2003, Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence.

[110]  F. Dick,et al.  Voxel-based lesion–symptom mapping , 2003, Nature Neuroscience.

[111]  Karl J. Friston,et al.  Automatic Differentiation of Anatomical Patterns in the Human Brain: Validation with Studies of Degenerative Dementias , 2002, NeuroImage.

[112]  J Ashburner,et al.  Computational neuroanatomy: new perspectives for neuroradiology. , 2001, Revue neurologique.

[113]  L. F. Haas Phineas Gage and the science of brain localisation , 2001, Journal of neurology, neurosurgery, and psychiatry.

[114]  Haas Lf,et al.  Phineas Gage and the science of brain localisation , 2001 .

[115]  J. Ghajar Traumatic brain injury , 2000, The Lancet.

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

[117]  E. Fombonne,et al.  Microcephaly and Macrocephaly in Autism , 1999, Journal of autism and developmental disorders.

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

[119]  J R Levin,et al.  Overcoming feelings of powerlessness in "aging" researchers: a primer on statistical power in analysis of variance designs. , 1997, Psychology and aging.

[120]  W. Bradley,et al.  MRI: The Basics , 1997 .

[121]  P. Scheltens,et al.  Visual assessment of medial temporal lobe atrophy on magnetic resonance imaging: Interobserver reliability , 1995, Journal of Neurology.

[122]  John R. Hodges,et al.  Localization and Neuroimaging in Neuropsychology , 1995 .

[123]  H. Soininen,et al.  The interuncal distance in Alzheimer disease and age-associated memory impairment. , 1995, AJNR. American journal of neuroradiology.

[124]  D D Blatter,et al.  Quantitative volumetric analysis of brain MR: normative database spanning 5 decades of life. , 1995, AJNR. American journal of neuroradiology.

[125]  C A Wiley,et al.  The relationship of quantitative brain magnetic resonance imaging measures to neuropathologic indexes of human immunodeficiency virus infection. , 1994, Archives of neurology.

[126]  Edith V. Sullivan,et al.  Volumetric MRI assessment of temporal lobe structures in schizophrenia , 1994, Biological Psychiatry.

[127]  N Butters,et al.  Volumetric magnetic resonance imaging quantification of longitudinal brain changes in abstinent alcoholics. , 1994, Alcoholism, clinical and experimental research.

[128]  Daniel H. Mathalon,et al.  Correction for head size in brain-imaging measurements , 1993, Psychiatry Research: Neuroimaging.

[129]  P. Scheltens,et al.  A semiquantative rating scale for the assessment of signal hyperintensities on magnetic resonance imaging , 1993, Journal of the Neurological Sciences.

[130]  M. LeMay,et al.  Abnormalities of the left temporal lobe and thought disorder in schizophrenia. A quantitative magnetic resonance imaging study. , 1992, The New England journal of medicine.

[131]  Nancy C. Andreasen,et al.  Problems with ratio and proportion measures of imaged cerebral structures , 1991, Psychiatry Research: Neuroimaging.

[132]  Erin D. Bigler,et al.  "In Vivo" Brain Size and Intelligence. , 1991 .

[133]  Edith V. Sullivan,et al.  A quantitative analysis of CT and cognitive measures in normal aging and Alzheimer's disease , 1990, Psychiatry Research: Neuroimaging.

[134]  L. Squire,et al.  Korsakoff's syndrome: radiological (CT) findings and neuropsychological correlates , 1988, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[135]  T. Shallice From Neuropsychology to Mental Structure: Converging Operations: Specific Syndromes and Evidence from Normal Subjects , 1988 .

[136]  T. Jernigan,et al.  Brain CT changes in alcoholics: effects of age and alcohol consumption. , 1988, Alcoholism, clinical and experimental research.

[137]  E. Bigler,et al.  Ventricle size, cortical atrophy and the relationship with neuropsychological status in closed head injury: a quantitative analysis. , 1986, Journal of clinical and experimental neuropsychology.

[138]  J. Grafman,et al.  The relationship of brain-tissue loss volume and lesion location to cognitive deficit , 1986, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[139]  E. Bigler,et al.  Intellectual and Memory Impairment in Dementia: Computerized Axial Tomography Volume Correlations , 1985, The Journal of nervous and mental disease.

[140]  R. Yeo,et al.  Quantifying cortical atrophy. , 1984, Journal of neurology, neurosurgery, and psychiatry.

[141]  M J de Leon,et al.  Ventricular volume and cognitive deficit: a computed tomographic study. , 1983, Radiology.

[142]  T. Jernigan,et al.  CT measures of cerebrospinal fluid volume in alcoholics and normal volunteers , 1982, Psychiatry Research.

[143]  T. Jernigan,et al.  Computed tomography in schizophrenics and normal volunteers. I. Fluid volume. , 1982, Archives of general psychiatry.

[144]  T. Jernigan,et al.  Computed tomography in schizophrenics and normal volunteers. II. Cranial asymmetry. , 1982, Archives of general psychiatry.

[145]  T. Jernigan,et al.  White Matter Changes in Cerebral Computed Tomography Related to Aging , 1982, Journal of computer assisted tomography.

[146]  T. Jernigan,et al.  Quantitative CT scan studies in aphasia II. Comparison of the right and left hemispheres , 1981, Brain and Language.

[147]  I. T. Draper Human Neuropsychology , 1979 .

[148]  M. Naeser,et al.  Lesion localization in aphasia with cranial computed tomography and the Boston Diagnostic Aphasia Exam , 1978, Neurology.

[149]  L V Ackerman,et al.  Determination of Volume from Computerized Tomograms: Finding the Volume of Fluid‐Filled Brain Cavities , 1977, Journal of computer assisted tomography.

[150]  G. du Boulay,et al.  Comparing Evans' index and computerized axial tomography in assessing relationship of ventricular size to brain size , 1976, Neurology.

[151]  M. Davis Children with epilepsy. , 1974, The Australasian nurses journal.

[152]  G. Hounsfield Computerized transverse axial scanning (tomography): Part I. Description of system. 1973. , 1973, The British journal of radiology.

[153]  C. Matthews,et al.  Pneumoencephalographic measurements and neuropsychological test performance in human adults. , 1972, Cortex; a journal devoted to the study of the nervous system and behavior.

[154]  C. Matthews,et al.  Pneumoencephalographic planimetry in neurological disease. , 1969, Journal of neurology, neurosurgery, and psychiatry.

[155]  G. Tooth ON THE USE OF MENTAL TESTS FOR THE MEASUREMENT OF DISABILITY AFTER HEAD INJURY , 1947, Journal of neurology, neurosurgery, and psychiatry.

[156]  O. L. Zangwill,et al.  Psychological Work at the Edinburgh Brain Injuries Unit , 1945, British medical journal.

[157]  Matti Hämäläinen,et al.  Brain Mapping: An Encyclopedic Reference , 2015 .

[158]  Michael Wagner,et al.  Cortical thinning in individuals with subjective memory impairment. , 2015, Journal of Alzheimer's disease : JAD.

[159]  Harald Hampel,et al.  Fully automated atlas-based hippocampal volumetry for detection of Alzheimer's disease in a memory clinic setting. , 2015, Journal of Alzheimer's disease : JAD.

[160]  Edith V Sullivan,et al.  Methods of association and dissociation for establishing selective brain-behavior relations. , 2014, Handbook of clinical neurology.

[161]  Sarah E. MacPherson,et al.  A systematic review of brain frontal lobe parcellation techniques in magnetic resonance imaging , 2013, Brain Structure and Function.

[162]  Nrusimham Ammu,et al.  Big Data Challenges , 2013 .

[163]  Kyoko Suzuki [Localization in neuropsychology]. , 2013, Rinsho shinkeigaku = Clinical neurology.

[164]  M. Kramer,et al.  A study of the comparative anatomy of the brain of domestic ruminants using magnetic resonance imaging. , 2012, Veterinary journal.

[165]  J. Hunter,et al.  A primer of neuroimaging analysis in neurorehabilitation outcome research. , 2012, NeuroRehabilitation.

[166]  Peter J Hellyer,et al.  Human brain mapping , 2012, Nature Methods.

[167]  C. Jack,et al.  Qualitative estimates of medial temporal atrophy as a predictor of progression from mild cognitive impairment to dementia. , 2007, Archives of neurology.

[168]  W. Sturm,et al.  Neuropsychological assessment , 2007, Journal of Neurology.

[169]  C. Gonzalez,et al.  The CT scan appearance of the brain in the normal elderly population: A correlative study , 2004, Neuroradiology.

[170]  R. Zimmerman,et al.  Correlation of long-term follow-up neurologic, psychologic, and cranial computed tomographic evaluations of head trauma patients , 2004, Neuroradiology.

[171]  Adolf Pfefferbaum,et al.  Using Magnetic Resonance Imaging and Diffusion Tensor Imaging to Assess Brain Damage in Alcoholics , 2003, Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism.

[172]  K. Sundet,et al.  PSYCHOMETRIC PROPERTIES OF A NORWEGIAN RESEARCH VERSION OF THE 'WECHSLER ABBREVIATED SCALE OF INTELLIGENCE' (WASI) , 2001 .

[173]  E. Bigler,et al.  Hippocampal volume in normal aging and traumatic brain injury. , 1997, AJNR. American journal of neuroradiology.

[174]  A. Hellemans Basic science , 1996 .

[175]  E. Kandel,et al.  Proceedings of the National Academy of Sciences of the United States of America. Annual subject and author indexes. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[176]  IIllaging Neuropsychological Function and Brain Imaging , 1989, Critical Issues in Neuropsychology.

[177]  H. Frahm,et al.  Comparison of brain structure volumes in Insectivora and primates. VII. Amygdaloid components. , 1987, Journal fur Hirnforschung.

[178]  R. Yeo,et al.  Relationship between cognitive and morphological asymmetry in dementia of the Alzheimer type: a CT scan study. , 1987, The International journal of neuroscience.

[179]  T. Jernigan,et al.  Changes on computed cranial tomography with aging: intracranial fluid volume. , 1982, AJNR. American journal of neuroradiology.

[180]  A. Luria Higher Cortical Functions in Man , 1980, Springer US.

[181]  J. Bachevalier,et al.  Folate-responsive neurological and mental disorders: report of 16 cases. Neuropsychological correlates of computerized transaxial tomography and radionuclide cisternography in folic acid deficiencies. , 1977, European neurology.

[182]  J. Pincus Psychiatric Aspects of Neurologic Disease , 1977, The Yale Journal of Biology and Medicine.

[183]  G. Hounsfield Computerized transverse axial scanning (tomography). 1. Description of system. , 1973, The British journal of radiology.

[184]  J. M. Warren,et al.  THE FRONTAL GRANULAR CORTEX AND BEHAVIOR , 1964 .

[185]  Alan C. Evans,et al.  NeuroImage: Clinical , 2022 .