Systematic Assessment of Multispectral Voxel-Based Morphometry in Previously MRI-Negative Focal Epilepsy
نویسندگان
چکیده
منابع مشابه
P 24: Evaluation of the Voxel Based Morphometry in Quantitative Analysis of Brain MRI Images
Introduction: Voxel based morphometry is a type of statistical parametric mapping that can be used to investigate the effect of diseases such as epilepsy, Alzheimer's disease and Parkinson's disease or other agent such as skills on brain structure (white matter, gray matter and cerebrospinal fluid). The aim of this study is evaluate the effectiveness of this method in detection of differen...
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(1)Mutimodal Neuroimaging Training Program, (2)Fundació ACE, Spain, (3)Department of Neurology, Samsung Medical Center, Korea , (4) Department of Pathology, (5) Department of Radiology, (6) Department of Psychiatry (7) Department of Psychology, (8) Department of Neurology, University of Pittsburgh School of Medicine (9) Machine Learning, Carnegie Mellon University, (10) Intel, Pittsburgh, PA, U...
متن کاملFocal Retrograde Amnesia: Voxel-Based Morphometry Findings in a Case without MRI Lesions
Focal retrograde amnesia (FRA) is a rare neurocognitive disorder presenting with an isolated loss of retrograde memory. In the absence of detectable brain lesions, a differentiation of FRA from psychogenic causes is difficult. Here we report a case study of persisting FRA after an epileptic seizure. A thorough neuropsychological assessment confirmed severe retrograde memory deficits while anter...
متن کاملVoxel-based morphometry of adulthood patients with temporal lobe epilepsy
Background Partial epilepsy represents almost 70% of the epileptic syndrome. It is characterized by partial seizures that arise from the restricted area of the cerebral cortex. Temporal lobe epilepsy (TLE) is the most frequent form of cryptogenic partial epilepsies [1]. The mesial temporal sclerosis is the pathologic abnormality most frequently detected in post mortem studies of subjects with T...
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ژورنال
عنوان ژورنال: American Journal of Neuroradiology
سال: 2018
ISSN: 0195-6108,1936-959X
DOI: 10.3174/ajnr.a5809