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R. M. Kessler

Researcher at National Institutes of Health

Publications -  21
Citations -  2899

R. M. Kessler is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Positron emission tomography & Fluorodeoxyglucose. The author has an hindex of 15, co-authored 21 publications receiving 2850 citations. Previous affiliations of R. M. Kessler include University of California, Irvine.

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Positron emission tomography in schizophrenic patients with and without neuroleptic medication

TL;DR: Positron emission tomography using [18F]2-fluoro-2-deoxy-d-glucose was performed in chronic schizophrenic patients both when medication-free and when medicated with neuroleptics, and there was no change in anterior/posterior metabolic gradients.
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Tissue signatures with dual-energy computed tomography.

TL;DR: By providing information on two parameters, dual-energy computed tomography can offer clinically useful tissue signatures for metallic deposits or injected iodine for different normal and abnormal types of brain parenchymal tissues and CSF.
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Clinical history, brain metabolism, and neuropsychological function in Alzheimer's disease

TL;DR: The findings suggest that memory and intellectual deficits are reflected in reductions of brain metabolism in some brain regions in mild to moderate forms of Alzheimer's disease and that, in the late, severe form of the disease, reductions occur consistently throughout the brain.
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Increased temporal lobe glucose use in chronic schizophrenic patients.

TL;DR: Patients with schizophrenia had significantly greater metabolic activity in the left than the right anterior temporal lobe, and the extent of this lateralization was in proportion to the severity of psychopathology.
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Alternative statistical models for the examination of clinical positron emission tomography/fluorodeoxyglucose data.

TL;DR: A method for partitioning metabolic variability found in positron emission tomography/[18F]fluorodeoxyglucose studies and the method of Q-component analysis for the identification of strong- and weak-pattern subjects is described.