A new classification system for ischemia using a combination of deep and periventricular white matter hyperintensities.
暂无分享,去创建一个
D. Na | G. Kim | S. Seo | Hanna Cho | Y. Noh | J. Jeong | Seol-Heui Han | H. Cheong | J. Shin | C. Kim | C. Hong | S. Choi | Yunhwan Lee | K. Park | Sang Yun Kim | J. Back | Jong-Min Lee | Sook-young Woo | S. Kim | Jae-Hong Lee | J. Park
[1] M. Weiner,et al. Cortical thinning related to periventricular and deep white matter hyperintensities , 2012, Neurobiology of Aging.
[2] Y. Shim,et al. Impact of White Matter Changes on Activities of Daily Living in Mild to Moderate Dementia , 2011, European Neurology.
[3] W. M. van der Flier,et al. Heterogeneity of small vessel disease: a systematic review of MRI and histopathology correlations , 2010, Journal of Neurology, Neurosurgery & Psychiatry.
[4] Sang Won Seo,et al. Seoul Neuropsychological Screening Battery-Dementia Version (SNSB-D): A Useful Tool for Assessing and Monitoring Cognitive Impairments in Dementia Patients , 2010, Journal of Korean medical science.
[5] Sang Won Seo,et al. Cortical Thinning in Vascular Mild Cognitive Impairment and Vascular Dementia of Subcortical Type , 2010, Journal of neuroimaging : official journal of the American Society of Neuroimaging.
[6] S. Cho,et al. Subcortical Vascular versus Amnestic Mild Cognitive Impairment: Comparison of Cerebral Glucose Metabolism , 2009, Journal of neuroimaging : official journal of the American Society of Neuroimaging.
[7] L. Gjerstad,et al. White Matter Lesion Subtypes and Cognitive Deficits in Patients with Memory Impairment , 2008, Dementia and Geriatric Cognitive Disorders.
[8] Norbert Schuff,et al. Neuropathological basis of magnetic resonance images in aging and dementia , 2008, Annals of neurology.
[9] David A. Bennett,et al. Mixed brain pathologies account for most dementia cases in community-dwelling older persons , 2007, Neurology.
[10] A. Algra,et al. Automated and Visual Scoring Methods of Cerebral White Matter Hyperintensities: Relation with Age and Cognitive Function , 2007, Cerebrovascular Diseases.
[11] U. Yoon,et al. Clinical Significance of Microbleeds in Subcortical Vascular Dementia , 2007, Stroke.
[12] Chris Zarow,et al. Cognitive impact of subcortical vascular and Alzheimer's disease pathology , 2006, Annals of neurology.
[13] J. O'Brien,et al. White Matter Lesions in an Unselected Cohort of the Elderly: Molecular Pathology Suggests Origin From Chronic Hypoperfusion Injury , 2006, Stroke.
[14] V. Challa,et al. Venous collagenosis and arteriolar tortuosity in leukoaraiosis , 2002, Journal of the Neurological Sciences.
[15] E. Tangalos,et al. Mild Cognitive Impairment Clinical Characterization and Outcome , 1999 .
[16] D. Na,et al. Normative data on the Korean version of the Boston Naming Test. , 1999, Journal of clinical and experimental neuropsychology.
[17] U. Salvolini,et al. MRI and pathological examination of post-mortem brains: the problem of white matter high signal areas , 1994, Neuroradiology.
[18] W. Sauerbrei,et al. Dangers of using "optimal" cutpoints in the evaluation of prognostic factors. , 1994, Journal of the National Cancer Institute.
[19] F. Fazekas,et al. Pathologic correlates of incidental MRI white matter signal hyperintensities , 1993, Neurology.
[20] A. Alavi,et al. MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. , 1987, AJR. American journal of roentgenology.
[21] M. Folstein,et al. Clinical diagnosis of Alzheimer's disease , 1984, Neurology.
[22] Sumithra J. Mandrekar,et al. Finding Optimal Cutpoints for Continuous Covariates with Binary and Time-to-Event Outcomes , 2006 .
[23] J. Reuck,et al. The Human Periventricular Arterial Blood Supply and the Anatomy of Cerebral Infarctions , 1971 .