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David F. Sobel

Researcher at Scripps Health

Publications -  51
Citations -  2353

David F. Sobel is an academic researcher from Scripps Health. The author has contributed to research in topics: Magnetic resonance imaging & Metrizamide. The author has an hindex of 22, co-authored 51 publications receiving 2309 citations. Previous affiliations of David F. Sobel include Letterman Army Medical Center & University of California, San Francisco.

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Abnormalities of the Corpus Callosum in Children Prenatally Exposed to Alcohol

TL;DR: The results suggest that prenatal exposure to high levels of alcohol is associated with abnormalities of the corpus callosum, and verify callosal agenesis in children with FAS, which previously had only been noted in autopsy reports.
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A decrease in the size of the basal ganglia in children with fetal alcohol syndrome

TL;DR: Volumetric analyses demonstrated significant reductions in the cerebral vault, basal ganglia, and diencephalon in the children with fetal alcohol syndrome, compared with control children, which may relate to behavioral findings in both humans and animals exposed to alcohol prenatally.
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Abnormal Development of the Cerebellar Vermis in Children Prenatally Exposed to Alcohol: Size Reduction in Lobules I–V

TL;DR: The results of both studies indicate similar patterns of abnormal brain development in the anterior vermal region, with apparent sparing in the posterior vermal area, which suggests regionally specific Purkinje cell death may also occur in humans prenatally exposed to alcohol.
Journal Article

Locating the central sulcus: comparison of MR anatomic and magnetoencephalographic functional methods

TL;DR: MR anatomic techniques can usually identify the central sulcus, but in the presence of anatomic distortion, the MEG functional method adds significant information.
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MEG predicts epileptic zone in lesional extrahippocampal epilepsy: 12 pediatric surgery cases.

TL;DR: Whether the spatial distribution of spike sources determined by magnetoencephalography (MEG) provides reliable information for planning surgery and predicting outcomes in pediatric patients with lesional extrahippocampal epilepsy is investigated.