Objective To determine whether cognitive impairment and brain injury as measured by proton magnetic resonance spectroscopy (MRS) persist in the setting of highly active antiretroviral therapy (HAART). Design This study is an observational cohort study. Methods MRS was performed in 268 patients: HIV-negative controls (N=28), HIV-positive neuroasymptomatic (NA) subjects (N=124), and subjects with AIDS Dementia Complex (ADC; N=50) on stable ART with a mean duration of infection of 12 years and CD4 of 309 cells/mm3. Four metabolites were measured over creatine (Cr): N-acetyl aspartate (NAA), marker of neuronal integrity; Choline (Cho), myoinositol (MI), markers of inflammation, and glutamate and glutamine (Glx) in the basal ganglia (BG), frontal white matter (FWM) and mid-frontal Cortex (MFC). Analyses included ANOVA, ANCOVA, linear and nonparametric regression models. Results Cognitive impairment was found in 48% of HIV infected subjects. Both HIV positive groups showed significant increases in MI/Cr or Cho/Cr in all brain regions when compared to controls; a significant decrease in Glx/Cr in the FWM was observed in the NA group; only ADC subjects showed a significant reduction in NAA/ Cr although a significant trend for decreasing NAA/Cr in the BG was found across the groups. Effects related to aging and duration of infection but not central nervous system penetration effectiveness (CPE) were observed. Conclusions Brain inflammatory changes remain ubiquitous among HIV-infected subjects whereas neuronal injury occurs predominantly in those with cognitive impairment. Together these findings indicate that despite the widespread use of HAART, HIV-associated cognitive impairment and brain injury persist in the setting of chronic and stable disease.

Image reconstruction for magnetic resonance spectroscopic imaging (MRSI) requires specialized spatial and spectral data processing methods and benefits from the use of several sources of prior information that are not commonly available, including MRI-derived tissue segmentation, morphological analysis and spectral characteristics of the observed metabolites. In addition, incorporating information obtained from MRI data can enhance the display of low-resolution metabolite images and multiparametric and regional statistical analysis methods can improve detection of altered metabolite distributions. As a result, full MRSI processing and analysis can involve multiple processing steps and several different data types. In this paper, a processing environment is described that integrates and automates these data processing and analysis functions for imaging of proton metabolite distributions in the normal human brain. The capabilities include normalization of metabolite signal intensities and transformation into a common spatial reference frame, thereby allowing the formation of a database of MR-measured human metabolite values as a function of acquisition, spatial and subject parameters. This development is carried out under the MIDAS project (Metabolite Imaging and Data Analysis System), which provides an integrated set of MRI and MRSI processing functions. It is anticipated that further development and distribution of these capabilities will facilitate more widespread use of MRSI for diagnostic imaging, encourage the development of standardized MRSI acquisition, processing and analysis methods and enable improved mapping of metabolite distributions in the human brain.

Recent findings from developmental neuroimaging studies suggest that the enhancement of cognitive processes during development may be the result of a fine-tuning of the structural and functional organization of brain with maturation. However, the details regarding the developmental trajectory of large-scale structural brain networks are not yet understood. Here, we used graph theory to examine developmental changes in the organization of structural brain networks in 203 normally growing children and adolescents. Structural brain networks were constructed using interregional correlations in cortical thickness for 4 age groups (early childhood: 4.8-8.4 year; late childhood: 8.5-11.3 year; early adolescence: 11.4-14.7 year; late adolescence: 14.8-18.3 year). Late childhood showed prominent changes in topological properties, specifically a significant reduction in local efficiency, modularity, and increased global efficiency, suggesting a shift of topological organization toward a more random configuration. An increase in number and span of distribution of connector hubs was found in this age group. Finally, inter-regional connectivity analysis and graph-theoretic measures indicated early maturation of primary sensorimotor regions and protracted development of higher order association and paralimbic regions. Our finding reveals a time window of plasticity occurring during late childhood which may accommodate crucial changes during puberty and the new developmental tasks that an adolescent faces.

We determined cerebral intracellular pH in living rabbits and rats under physiologic conditions, using phosphorus NMR spectroscopy and new titration curves thought to be appropriate for brain. Mean values for the two species were, respectively, 7.14 +/- 0.04 (SD) and 7.13 +/- 0.03. These are toward the alkaline end of the range of values obtained by other methods, as values reported by other NMR workers also tend to be.