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INTRODUCTION: Although several studies have identified abnormal rates of neurological soft signs (NSS) as a manifestation of CNS dysfunction in schizophrenia, differences in sample populations have contributed to a discrepancy in empirical findings. Furthermore, little is known about the potential of NSS to predict a clinical response to antipsychotic medications. The present study tests the associations between NSS and schizophrenia symptomatology and examines NSS as a potential marker for predicting treatment response. METHODS: Nineteen unmedicated male schizophrenia patients were treated prospectively with haloperidol for six weeks. The subjects were assessed for pre and post-treatment NSS and schizophrenia symptomatology (Brief Psychiatric Rating Scale, BPRS). RESULTS: NSS at baseline were significantly associated with baseline symptoms on the Positive, Negative, and Psychological Discomfort BPRS subscales. NSS showed a strong trend toward improvement during six weeks of a prospective haloperidol trial. Hierarchical linear regression analyses indicated that more severe baseline NSS predicted poorer response to haloperidol treatment as measured by post-treatment BPRS Total subscale scores. DISCUSSION: NSS at untreated baseline are associated with baseline symptom severity, and elevated NSS are predictive of a smaller degree of improvement in symptoms after antipsychotic treatment. These findings are consistent with the hypothesis that NSS are linked to the neuropathology that underlies schizophrenia symptomatology and course.

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BACKGROUND: The relationship of gray and white matter atrophy in multiple sclerosis (MS) to neuropsychological and neuropsychiatric impairment has not been examined. METHODS: In 40 patients with MS and 15 age-/sex-matched normal controls, the authors used SPM99 to obtain whole brain normalized volumes of gray and white matter, as well as measured conventional lesion burden (total T1 hypointense and FLAIR hyperintense lesion volume). The whole brain segmentation was corrected for misclassification related to MS brain lesions. To compare the effects of gray matter, white matter, and lesion volumes with respect to brain-behavior relationships, the MS group (disease duration = 11.2 +/- 8.8 years; EDSS score = 3.3 +/- 1.9) underwent neuropsychological assessment, and was compared to a separate, larger group of age-/sex-matched normal controls (n = 83). RESULTS: The MS group had smaller gray (p = 0.009) and white matter volume (p = 0.018), impaired cognitive performance (verbal memory, visual memory, processing speed, and working memory) (all p < 0.0001), and greater neuropsychiatric symptoms (depression, p < 0.0001; dysphoria, p < 0.0001; irritability, p < 0.0001; anxiety, p < 0.0001; euphoria, p = 0.006; agitation, p = 0.02; apathy, p = 0.02; and disinhibition, p = 0.11) vs controls. Hierarchical stepwise regression analysis revealed that whole gray and white matter volumes accounted for greater variance than lesion burden in explaining cognitive performance and neuropsychiatric symptoms. White matter volume was the best predictor of mental processing speed and working memory, whereas gray matter volume predicted verbal memory, euphoria, and disinhibition. CONCLUSION: Both gray and white brain matter atrophy contribute to neuropsychological deficits in multiple sclerosis.

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We used SPM99 to obtain normalized whole brain volumes of gray matter, white matter, and total parenchyma in patients with multiple sclerosis (MS) (n = 41) and age-/sex-matched normal controls (n = 18). As SPM99's automated gray/white matter volumes were significantly influenced by tissue compartment misclassification due to the effect of MS-related brain lesions, we corrected these automated volumes for misclassification before performing our primary analyses. For MS patients (disease duration = 9.5 +/- 6.3 years; EDSS score = 3.2 +/- 1.8; 25FTW = 6.6 +/- 3.1 s), we also measured lesion load (total T1 hypointense [T1LV] and FLAIR hyperintense lesion volume [FLLV]), central brain atrophy (third ventricular width [TVW] and bicaudate ratio [BCR]), and clinical status (Expanded Disability Status Scale [EDSS] and 25-ft timed walk [25FTW]). Patients with MS had lower gray matter (707 +/- 33 cm(3) [-3.9%], P = 0.003) and total parenchymal volume (1088 +/- 48 cm(3) [-3.8%], P = 0.003), but only a trend for lower white matter volume (381 +/- 25 cm(3) [-3.7%], P = 0.052) relative to normal controls (gray matter: 736 +/- 33 cm(3); total parenchyma: 1132 +/- 49 cm(3); white matter: 396 +/- 26 cm(3)). Gray matter atrophy was related to clinical status (EDSS, 25FTW, and disease duration), lesion load (T1LV and FLLV), and central brain atrophy (TVW and BCR), whereas white matter atrophy was related to only central brain atrophy. These findings suggest that gray matter loss is related to other aspects of brain pathology and has more clinical relevance than white matter atrophy in MS.

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Modern theories of drug dependence hold the hedonic effects of drug-taking central to understanding the motivation for compulsive drug use. Previous neuroimaging studies have begun to identify brain regions associated with acute drug effects after passive delivery. In this study, a more naturalistic model of cocaine self-administration (SA) was employed in order to identify those sites associated with drug-induced high and craving as measures of reward and motivation. Non-treatment seeking cocaine-dependent subjects chose both when and how often i.v. cocaine administration occurred within a medically supervised SA procedure. Both functional magnetic resonance imaging (fMRI) data and real-time behavioral ratings were acquired during the 1-h SA period. Drug-induced HIGH was found to correlate negatively with activity in limbic, paralimbic, and mesocortical regions including the nucleus accumbens (NAc), inferior frontal/orbitofrontal gyrus (OFC), and anterior cingulate (AC), while CRAVING correlated positively with activity in these regions. This study provides the first evidence in humans that changes in subjective state surrounding cocaine self-administration reflect neural activity of the endogenous reward system.

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AIMS: To conduct a medication screening trial on the efficacy of olanzapine, valproate or coenzyme Q10/L-carnitine combination versus placebo for the treatment of cocaine dependence. DESIGN: A four-arm, modified blinded, parallel group study in an out-patient setting using the Cocaine Rapid Efficacy and Safety Trials (CREST) study design. SETTING: The study was performed at the New York Medications Development Research Unit (MDRU). PARTICIPANTS: All participants met Diagnostic and Statistical Manual version IV (DSM-IV) criteria for cocaine dependence and provided at least two urine samples positive for benzoylecgonine (BE) during the 2-week screening period. Sixty-eight participants were enrolled with 39 completing the study. INTERVENTION: After a 2-week screening period, 68 subjects were assigned randomly to receive either olanzapine (10 mg/day), valproate (1500 mg/day), coenzyme Q10 (200 mg/day) and L-carnitine (500 mg/day) combination or placebo for an 8-week treatment period. All subjects also received individual cognitive behavioral counseling during treatment. MEASUREMENTS: Primary outcome measures included quantitative urine benzoylecgonine (BE) levels, self-report of drug use, and global impression scores. Secondary outcomes included cocaine craving, study retention and related psychosocial measures. Safety measures included adverse event monitoring, vital signs, and extrapyramidal side-effects tests. RESULTS: Study retention was similar across all treatment groups, and all groups showed improvement across most measures of treatment efficacy over the duration of the study. None of the study medications, however, were superior to placebo on any of the primary or secondary outcome measures. Cocaine use, as measured by urine BE levels and self-report, was not significantly lower than placebo in any of the drug treatment groups. All study medications were equally well tolerated, and few medication side effects were observed. CONCLUSION: This pilot study does not support the effectiveness of olanzapine, valproate or coenzyme Q10/L-carnitine combination for the treatment of cocaine dependence.

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Two techniques that correct (normalize) regional and whole brain volumes according to head size-the proportion method (tissue-to-intracranial volume ratio) and the residual method (regression-based predicted brain tissue volumes)-are used pervasively in neuroimaging research, but have received little critical evaluation or direct comparison. Using a quantitatively derived MRI data set of patients with multiple sclerosis (n = 18) and age-/sex-matched normal controls (n = 18), we introduced various types of error into estimates of intracranial volume (ICV) and absolute parenchymal volume (APV) to observe how this error affected the final outcome of normalized brain measures and their ability to detect group differences, as computed by a proportion (brain parenchymal fraction [BPF]) and residual method (predicted parenchymal volume [PPV]). The results indicated that systemic error in ICV and APV values considerably affected BPF means based on the proportion method, except with dependent-related systematic APV error, but essentially did not change statistical power associated with group differences in BPF. Random error altered BPF means to a much smaller extent, but was associated with moderate reductions in statistical power. On the other hand, PPV estimates based on the residual method were unaffected by these same ICV and APV errors, except with dependent-related systematic APV error, and were not associated with reductions in statistical power. Our findings suggest that head size correction of brain regions with the residual method generally may provide advantages over the proportion method.

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BACKGROUND AND PURPOSE: Semiautomated and automated methods are used to measure whole-brain atrophy in multiple sclerosis (MS), but their comparative reliability, sensitivity, and validity are unknown. METHODS: Brain parenchymal fraction (BPF) was measured in patients with MS (n = 52) and healthy control subjects (n = 17) by four methods: semiautomated or automated segmentation and 2D or 3D pulse sequences. Linear measures of atrophy, whole-brain lesion volumes, and clinical data were used to explore validity. RESULTS: The 2D automated method yielded unreliable segmentation and was discarded. The three other BPF methods produced data that were highly intercorrelated and indistinguishable by analysis of variance. In the MS group, semiautomated (2D: 0.84 +/- 0.04, P <.001; 3D: 0.84 +/- 0.05, P =.04) and automated 3D (0.83 +/- 0.05, P =.002) BPFs were lower than controls (semiautomated 2D: 0.88 +/- 0.02; 3D: 0.88 +/- 0.03; automated 3D: 0.88 +/- 0.03). In the MS group, the semiautomated (r = -.79 to -.82) and automated 3D (r = -.81) BPFs inversely correlated with third ventricular width and showed similarly robust correlations with the bicaudate ratio (all r = -.74). The semiautomated and automated BPFs showed similar, moderate correlations with T1 hypointense and FLAIR hyperintense lesion volume, physical disability (Expanded Disability Status Scale) score, and disease duration and similar differences between secondary progressive and relapsing-remitting patients. The intraobserver, interobserver, and test-retest reliability was somewhat higher for the automated than for the semiautomated methods. CONCLUSION: These automated and semiautomated measures of whole-brain atrophy provided similar and nearly interchangeable data regarding MS. They discriminated MS from healthy individuals and showed similar relationships to established disease variables.

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OBJECTIVE: The purpose of this study was test the hypothesis that abnormalities of inferior frontal white matter are related to the negative symptoms of schizophrenia. METHOD: Fractional anisotropy of white matter tracts in the prefrontal area of 10 schizophrenic patients was determined by diffusion tensor imaging. Patients were also assessed for severity of negative symptoms by using the Schedule for the Assessment of Negative Symptoms (SANS). RESULTS: Inferior frontal white matter fractional anisotropy was significantly inversely correlated with the SANS global ratings of negative symptoms. CONCLUSIONS: These data, while preliminary, suggest that impaired white matter integrity in the inferior frontal region may be associated with the severity of negative symptoms in schizophrenia.

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In an all-male sample of schizophrenic patients stabilized by medication (n=62) and normal controls (n=27), we obtained neuropsychological test data and high-resolution whole brain magnetic resonance scans, as well as detailed psychiatric rating scales on a subset of the patients (n=47). Schizophrenic patients had significantly worse overall age-adjusted cognitive performance than normal controls (average z-score=-0.90, range=-0.60 to -1.81), which included relatively more severe deficits with different types of memory, psychomotor speed, verbal fluency and verbal abstraction. Schizophrenic patients also had significantly smaller bilateral volumes in gray but not white matter in the prefrontal region, superior temporal gyrus and whole temporal lobe, but no group differences were observed in the hippocampus and parahippocampus. Correlations between the brain regions and cognitive performance revealed different sets of significant relationships for the two groups, particularly in the prefrontal and hippocampal regions. In addition, inverse correlations were observed between certain cognitive abilities (psychomotor speed, cognitive flexibility and verbal fluency) and patients' psychiatric ratings, especially with measures of negative symptoms. The convergence of findings for schizophrenic patients regarding the prefrontal region, negative symptoms, psychomotor speed and cognitive flexibility suggests that schizophrenic negative symptoms may involve disruption of frontal-subcortical connections.

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