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Are Structural Changes Induced by Lithium in the HIV Brain Accompanied by Changes in Functional Connectivity?
Madalina E Tivarus1, Britta Pester2, Christoph Schmidt2
1Department of Imaging Sciences, University of Rochester Medical Center, Rochester, New York, United States of America.
Lithium therapy may enhance functional brain connectivity in individuals with HIV and cognitive impairment. This study observed increased functional network strength after lithium treatment, suggesting potential for network modulation in neurological conditions.
Area of Science:
- Neuroimaging
- Neuroscience
- Pharmacology
Background:
- Cognitive impairment is common in HIV-infected individuals.
- Lithium therapy has shown effects on brain microstructure in this population.
- The impact of lithium on functional connectivity in HIV cognitive impairment remains underexplored.
Purpose of the Study:
- To investigate if lithium therapy alters functional brain connectivity in HIV-infected individuals with cognitive impairment.
- To explore the relationship between microstructural changes and functional connectivity.
- To assess the utility of generalized partial directed coherence (gPDC) in quantifying these changes.
Main Methods:
- Functional MRI data from seven HIV-infected individuals undergoing lithium therapy were analyzed.
- Seven regions of interest (ROIs) were selected based on prior Diffusion Tensor Imaging (DTI) findings.
- Generalized partial directed coherence (gPDC) was employed to measure functional connectivity between ROIs.
Main Results:
- Lithium treatment led to significant differences in average node strength.
- A notable increase in functional connectivity strength was observed post-lithium therapy.
- gPDC effectively quantified connectivity changes related to the lithium intervention.
Conclusions:
- Lithium therapy appears to increase functional connectivity in cognitively impaired HIV-infected individuals.
- The gPDC methodology provides a quantitative measure of intervention-induced network changes.
- This approach may help interpret clinical changes in the context of brain network modulation.
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