We recruited 14 unmedicated patients with Kraepelinian schizophrenia (12 men and 2 women; mean age = 47 years old), 27 non-Kraepelinian patients (21 men and 6 women; mean age = 36.4 years old) and a group of 56 age- and sex-matched healthy volunteers. FDG positron emission tomography and MRI scans were coregistered for both voxel-by-voxel statistical mapping and stereotaxic regions of interest analysis. While both Kraepelinian and non-Kraepelinian patients showed equally lower uptake than healthy volunteers in the frontal lobe, the temporal lobes (Brodmann areas 20 and 21) showed significantly greater decreases in Kraepelinian than in non-Kraepelinian patients. Kraepelinian patients had lower FDG uptake in parietal regions 39 and 40, especially in the right hemisphere, while non-Kraepelinian patients had similar reductions in the left. Only non-Kraepelinian patients had lower caudate FDG uptake than healthy volunteers. While both patient groups had lower uptake than healthy volunteers in the medial dorsal nucleus of the thalamus, Kraepelinian patients alone had higher uptake in the ventral nuclei of the thalamus. Kraepelinian patients also showed higher metabolic rates in white matter. Our results are consistent with other studies indicating that Kraepelinian schizophrenia is a subgroup of schizophrenia, characterized by temporal and right parietal deficits and normal rather than reduced caudate uptake. It suggests that Kraepelinian schizophrenia may be more primarily characterized by FDG uptake decreased in both the frontal and temporal lobes, while non-Kraepelinian schizophrenia may have deficits more limited to the frontal lobe. This is consistent with some neuropsychological and prognosis reports of disordered sensory information processing in Kraepelinian schizophrenia in addition to deficits in frontal lobe executive functions shared with the non-Kraepelinian subtype.
Schizophrenic patients demonstrate impairments in several key dimensions of cognition. These impairments are correlated with important aspects of functional outcome. While assessment of these cognition disorders is increasingly becoming a part of clinical and research practice in schizophrenia, there is no standard and easily administered test battery. The BACS (Brief Assessment of Cognition in Schizophrenia) has been validated in English language [Keefe RSE, Golberg TE, Harvey PD, Gold JM, Poe MP, Coughenour L. The Brief Assessment of Cognition in Schizophrenia: reliability, sensibility, and comparison with a standard neurocognitive battery. Schizophr. Res 2004;68:283-97], and was found to be as sensitive to cognitive dysfunction as a standard battery of tests, with the advantage of requiring less than 35 min to complete. We developed a French adaptation of the BACS and this study tested its ease of administration and concurrent validity. Correlation analyses between the BACS (version A) and a standard battery were performed. A sample of 50 stable schizophrenic patients received the French Version A of the BACS in a first session, and in a second session a standard battery. All the patients completed each of the subtests of the French BACS . The mean duration of completion for the BACS French version was 36 min (S.D.=5.56). A correlation analysis between the BACS (version A) global score and the standard battery global score showed a significant result (r=0.81, p<0.0001). The correlation analysis between the BACS (version A) sub-scores and the standard battery sub-scores showed significant results for verbal memory, working memory, verbal fluency, attention and speed of information processing and executive functions (p<0.001) and for motor speed (p<0.05). The French Version of the BACS is easier to use in French schizophrenic patients compared to a standard battery (administration shorter and completion rate better) and its good psychometric properties suggest that the French Version of the BACS may be a useful tool for assessing cognition in schizophrenic patients with French as their primary language.
The level of expectations seems to play a major role in the subjective assessment of quality of life in patients with schizophrenia. Symptom improvement is not necessarily associated with quality of life improvement relative to subject expectations. Caregivers should be aware of this result so as to deal with possible disappointments in patients receiving a new efficient treatment.
Background: Diminished uptake of fluorodeoxyglucose (FDG) has been observed in patients with alcohol use disorder (AUD) but little statistical contrast of the regional brain deficits has been undertaken. This study examined prefrontal cortex interregional Brodmann area differences to delineate patterns associated with behavioral, neurotransmitter, and general toxicity hypotheses of cerebral involvement in AUD.
Methods: We obtained data from FDG positron emission tomography (PET) and anatomical magnetic resonance imaging (MRI) for 87 patients with AUD and 41 age-and sex-matched healthy volunteers. Patients were alcohol dependent and had negative breathalyzer tests at the time of imaging. They were assessed with the Beck Depression Inventory, Alcohol Urge Questionnaire, Obsessive Compulsive Drinking Scale, Spielberger State/Trait Anxiety Scale, Buss-Durkee Hostility Inventory, and the Drinker Inventory of Consequences (DrInC). PET images were co-registered to MRI and both voxel × voxel statistical mapping and stereotaxic regions of interest were obtained.Results: Compared with healthy volunteers, patients with AUD had lower relative metabolic rates in the frontal, temporal, and parietal lobes, localizable most prominently to the dorsolateral and nearly all orbital prefrontal cortex, superior temporal gyrus, and inferior parietal lobule. In contrast, metabolic rates in the medial orbitofrontal and anterior cingulate cortex, and the subcortical structures (thalamus, cerebellum, ventral striatum, and the dorsal raphe nucleus) in patients were significantly greater. The severity of alcohol-related consequences as assessed by the DrInC scale was most highly associated with lower metabolism in the caudate, dorsolateral prefrontal, frontopolar, and anteroposterior cingulate cortex.
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