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