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Steven Guich

Researcher at University of California, Irvine

Publications -  11
Citations -  607

Steven Guich is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Positron emission tomography & Electroencephalography. The author has an hindex of 9, co-authored 11 publications receiving 599 citations.

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Glucose metabolic rate in normals and schizophrenics during the Continuous Performance Test assessed by positron emission tomography.

TL;DR: Patients with schizophrenia showed both absolutely and relatively reduced metabolic rates in the frontal cortex and in the temporoparietal regions compared with normal controls.
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Effect of attention on frontal distribution of delta activity and cerebral metabolic rate in schizophrenia

TL;DR: Increased delta activity in the frontal region of patients with schizophrenia in comparison to normal controls is confirmed, and a significant correlation between increased frontal delta and relative reduction in frontal lobe metabolism among patients with psychosis is found.
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EEG coherence of prefrontal areas in normal and schizophrenic males during perceptual activation.

TL;DR: Functional relationships between cortical areas were assessed by calculating the coherences between different scalp electroencephalogram signals recorded from 13 unmedicated male patients with schizophrenia and 9 normal male subjects, suggesting that "cortical circuits" extending beyond prefrontal areas may be disrupted in schizophrenia.
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Dimensional complexity of EEG waveforms in neuroleptic-free schizophrenic patients and normal control subjects

TL;DR: In this paper, EEG epochs recorded from 12 neuroleptic-free schizophrenic patients and 11 normal control subjects were Laplacian-filtered to highlight activity specific to prefrontal and parietal areas.
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EEG Delta, Positron Emission Tomography, and Memory Deficit in Alzheimer’s Disease

TL;DR: Both EEG delta in microvolts and metabolic rate had similar diagnostic sensitivity, but PET had fewer false positives among normals and the left amygdala had the highest sensitivity and percent correct diagnosis of any brain area.