Three clinical syndromes of schizophrenia in untreated subjects: relation to brain glucose activity measured by positron emission tomography (PET)
| Autor: | Ronald D. Kaplan, E. Stephen Garnett, S Franco, John M. Cleghorn, Stephen List, Henry Szechtman, C. Nahmias, Barbara Szechtman |
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| Rok vydání: | 1993 |
| Předmět: |
Adult
Blood Glucose Male medicine.medical_specialty Psychosis Adolescent Central nervous system Deoxyglucose Brain mapping Fluorodeoxyglucose F18 Internal medicine medicine Humans Dominance Cerebral Biological Psychiatry Cerebral Cortex Psychiatric Status Rating Scales Brain Mapping medicine.diagnostic_test Left inferior parietal lobule Middle Aged medicine.disease Psychiatry and Mental health medicine.anatomical_structure Positron emission tomography Cardiology Schizophrenia Female Schizophrenic Psychology Tomography Metabolic activity Psychology Neuroscience Perfusion Tomography Emission-Computed |
| Zdroj: | Schizophrenia research. 11(1) |
| ISSN: | 0920-9964 |
| Popis: | A number of studies of chronically ill, medicated patients have found that the clinical symptoms of schizophrenia segregate into three syndromes which can be labelled poverty, disorganization, and reality distortion. It has been previously found that each of these syndromes is associated with a specific pattern of perfusion (rCBF) in paralimbic and association cortex and in related subcortical nuclei. We replicated the symptom factors in 20 untreated subjects. Utilizing positron emission tomography with 18-F-fluorodeoxyglucose as a tracer for glucose metabolism, we reconstructed a map of the entire cortical activity from 16 to 20 tomographic slices. Each of the three syndromes was associated with a different pattern of regional glucose metabolism. Findings in common with previous studies were an association of poverty with left cortical metabolic activity in prefrontal and superior parietal areas, reality distortion with left temporal activity, and disorganization with left inferior parietal lobule. This is the first report of an association between regional metabolic activity and clinical syndromes in untreated patients, strengthening previous models of distributed neural networks in this disorder. |
| Databáze: | OpenAIRE |
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