Showing papers by "Charles DeCarli published in 1996"

Sex Differences in Human Brain Morphometry and Metabolism: An In Vivo Quantitative Magnetic Resonance Imaging and Positron Emission Tomography Study on the Effect of Aging

Abstract: Background: There are significant age and sex effects in cognitive ability and brain disease. However, sex differences in aging of human brain areas associated with nonreproductive behavior have not been extensively studied. We hypothesized that there would be significant sex differences in aging of brain areas that subserve speech, visuospatial, and memory function. Methods: We investigated sex differences in the effect of aging on human brain morphometry by means of volumetric magnetic resonance imaging and on regional cerebral metabolism for glucose by positron emission tomography. In the magnetic resonance imaging study, we examined 69 healthy right-handed subjects (34 women and 35 men), divided into young (age range, 20 to 35 years) and old (60 to 85 years) groups. In the positron emission tomography study, we investigated 120 healthy right-handed subjects (65 women and 55 men) aged 21 to 91 years. Results: In the magnetic resonance imaging study, age-related volume loss was significantly greater in men than women in whole brain and frontal and temporal lobes, whereas it was greater in women than men in hippocampus and parietal lobes. In the positron emission tomography study, significant sex differences existed in the effect of age on regional brain metabolism, and asymmetry of metabolism, in the temporal and parietal lobes, Broca's area, thalamus, and hippocampus. Conclusions: We found significant sex differences in aging of brain areas that are essential to higher cognitive functioning. Thus, our findings may explain some of the age-sex differences in human cognition and response to brain injury and disease.

Local histogram correction of MRI spatially dependent image pixel intensity nonuniformity.

Abstract: We describe a computationally straightforward post-hoc statistical method of correcting spatially dependent image pixel intensity nonuniformity based on differences in local tissue intensity distributions. Pixel intensity domains for the various tissues of the composite image are identified and compared to the distributions of local samples. The nonuniformity correction is calculated as the difference of the local sample median from the composite sample median for the tissue class most represented by the sample. The median was chosen to reduce the effecters on determining the sample statistic and to allow a sample size small enough to accurately estimate the spatial variance of the image intensity nonuniformity. The method was designed for application to two-dimensional images. Simulations were used to estimate optimal conditions of local histogram kernel size and to test the accuracy of the method under known spatially dependent nonuniformities. The method was also applied to correct a phantom image and cerebral MRIs from 15 healthy subjects. Results show that the method accurately models simulated spatially dependent image intensity differences. Further analysis of clinical MR data showed that the variance of pixel intensities within the cerebral MRI slices and the variance of slice volumes within individuals were significantly reduced after nonuniformity correction. Improved brain-cerebrospinal fluid segmentation was also obtained. The method significantly reduced the variance of slice volumes within individuals, whether it was applied to the native images or images edited to remove nonbrain tissues. This statistical method was well behaved under the assumptions and the images tested. The general utility of the method was not determined, but conditions for testing the method under a variety of imaging sequences is discussed. We believe that this algorithm can serve as a method for improving MR image segmentation for clinical and research applications.

Effect of Valproate on Cerebral Metabolism and Blood Flow: An 18F‐2‐Deoxyglusose and 15O Water Positron Emission Tomography Study

Abstract: Summary: We compared the effect of valproate (VPA) on cerebral metabolic rate for glucose (CMRGlc) and cerebral blood flow (CBF), measured with 18F-2–deoxyglucose (I8FDG) and 15O water positron emission tomography (PET), in 10 normal volunteers. Mean VPA dose was 17.7 mg/kg, and mean VPA level was 82.1 mg/L (±16.5) for 4 weeks. VPA reduced global CMRGlc by 9.4% (9.60 2 0.76 vs. 8.59 ± 1.02 mg Glc/min/100 g, p < 0.05) and regionally in all anatomic areas (p < 0.05 for 11 of 26 areas). VPA diminished global CBF by 14.9% (56.55 ± 6.70 vs. 47.48 ± 4.42 ml/min/100 g, p < 0.002) and regionally in all anatomic areas (p < 0.05 for 12 of 26 areas). No significant correlation was noted between VPA level and either global CMRGlc or CBF. The effect of VPA on global CMRGlc is similar to that of carbamazepine (CBZ) and phenytoin but less than that of phenobarbital, Valium, or combination therapy with VPA and CBZ. VPA reduced regional CBF (rCBF) but not CMRGlc in the thalamus, an effect that may be associated with VPA's mechanism of action against generalized seizures.

Comparison of positron emission tomography, cognition, and brain volume in Alzheimer's disease with and without severe abnormalities of white matter.

Abstract: OBJECTIVES--To examine cerebral metabolism, cognitive performance, and brain volumes in healthy controls and two groups of patients with probable Alzheimer's disease, one group with severe abnormalities of white matter (DAT+) and the other group with none, or minimal abnormalities (DAT-). METHODS--Neuropsychological tests, CT, MRI, quantitative MRI, and PET studies were carried out to allow comparison between the DAT+ and DAT- groups and the healthy controls. RESULTS--Compared with the healthy controls, both demented groups had significantly reduced global and regional cerebral metabolism, significant brain atrophy, and significantly lower scores on neuropsychological testing. The DAT- patient group showed a pattern of parietal-temporal cerebral metabolic reductions and neuropsychological performance deficits typical of Alzheimer's disease. In addition, metabolism in the association neocortex (AD ratio) and measures of neuropsychological task performance were significantly correlated in the DAT- patient group. Comparison of DAT+ with DAT- patients showed a significantly higher ratio of parietal to whole brain glucose utilisation for the DAT+ group. Moreover, when comparing group z score differences from the healthy controls, the DAT+ group had, on average, smaller differences from controls in the frontal, parietal, and temporal regions than did the DAT- group. Discriminant analysis using metabolic ratios of the frontal, parietal, and temporal regions showed cerebral metabolic patterns to be significantly different among the DAT+, the DAT-, and the healthy controls. These differences were due primarily to relatively higher frontal, parietal, and temporal metabolic ratios in the DAT+ group which resulted in discriminant scores for the DAT+ group between the healthy controls and the DAT- group. Group mean scores on tests of neuropsychological performance were not significantly different between the DAT- and DAT+ patients. By contrast with the DAT- group, however, no significant correlations between the AD ratio and any neuropsychological task were seen in the DAT+ group. Multiple regression analysis showed significant between group differences in the relation between the AD ratio and neuropsychological scores on three tasks. The slopes of the relations between the AD ratio and memory scores (memory and freedom from distractability deviation quotient of the Wechsler adult intelligence scale (WMDQ)) also were significantly different for the two groups. CONCLUSIONS--Although multiple causes for abnormalities of white matter exist in patients with Alzheimer's disease, these data suggest that the presence of severe abnormalities of white matter indicate a second pathological process in the DAT+ patients. The DAT- patients showed the parietal-temporal metabolic deficits and correlations between association neocortical metabolism and neuropsychological task performance typical of patients with Alzheimer's disease. By contrast, the DAT+ group had a pattern of cerebral metabolism significantly different from healthy controls and DAT+ patients, as well as no significant correlations between metabolism in the association neocortex and neuropsychological performance. These differences probably reflect the superimposed pathology of the abnormalities of white matter which may exert their affect through disruption of long corticocortical pathways.

Cerebral magnetic resonance image segmentation using data fusion.

Abstract: Objective : A semiautomated method is described for segmenting dual echo MR head scans into gray and white matter and CSF. The method is applied to brain scans of 80 healthy children and adolescents. Materials and Methods : A probabilistic data fusion equation was used to combine simultaneously acquired T2-weighted and proton density head scans for tissue segmentation. The fusion equation optimizes the probability of a voxel being a particular tissue type, given the corresponding probabilities from both images. The algorithm accounts for the intensity inhomogeneities present in the images by fusion of local regions of the images. Results : The method was validated using a phantom (agarose gel with iron oxide particles) and hand-segmented images. Gray and white matter volumes for subjects aged 20-30 years were close to those previously published. White matter and CSF volume increased and gray matter volume decreased significantly across ages 4-18 years. White matter, gray matter, and CSF volumes were larger for males than for females. Males and females showed similar change of gray and white matter volumes with age. Conclusion : This simple, reliable, and valid method can be employed in clinical research for quantification of gray and white matter and CSF volumes in MR head scans. Increase in white matter volume may reflect ongoing axonal growth and myelination, and gray matter reductions may reflect synaptic pruning or cell death in the age span of 4-18 years.

Neurobehavioral manifestations of symptomatic HIV-1 disease in children: can nutritional factors play a role?

Abstract: Central nervous system (CNS) abnormalities are significant and frequent complications of human immunodeficiency virus (HIV-1) infection in infants and children. Although the predominant cause of neurological and neuropsychological abnormalities appears to be related to HIV infection of the CNS, other factors including malnutrition may also play a role. We retrospectively evaluated the association of change in body weight with changes in neurocognitive function, ventricular brain ratio, and cerebrospinal quinolinic acid levels in a small cohort of children (n=15 ; mean age 6.3 years) with symptomatic HIV-1 disease before and after 6 months of antiretroviral therapy with continuous intravenous infusion of zidovudine (ZVD). Significant increases in weight and neurocognitive function as well as decreases in ventricular brain ratio and cerebrospinal quinolinic acid levels were noted after therapy. Only the relation between increase in weight and decrease in ventricular brain ratio was statistically significant (P<.01) ; contrary to expectations, an increase in weight seemed to correlate with a decrease in neurocognitive function (NS). Another group of children treated at the same time with oral intermittent ZVD, but otherwise receiving the same care did not show the same magnitude of improvement in neurocognitive function. These results seem to suggest that general supportive and medical care as well as nutritional factors may only play a limited role in the neurocognitive improvements after antiretroviral therapy with continuous infusion ZVD. Our sample size was, however, small and the nutritional measure rather global ; thus these findings have to be considered as very preliminary.