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Relationship between brain structural network integrity and emotional symptoms in youth with perinatally-acquired HIV
Gabriella A Caceres1, Kiana A Scambray1, Kathleen Malee2
1Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Insights
Youth with perinatally acquired HIV infection (PHIV) show altered brain networks, impacting emotional regulation. HIV affects developing brain structure and function, particularly in the salience and default mode networks.
Area of Science:
- Neuroscience
- Pediatric HIV Research
- Brain Imaging
Background:
- Perinatally acquired HIV infection (PHIV) affects 1.7 million children globally.
- Youth with PHIV (YPHIV) exhibit higher risks for emotional and behavioral symptoms.
- Previous studies indicate alterations in key brain networks (salience, cognitive control, default mode) in YPHIV.
Purpose of the Study:
- To investigate the relationship between brain structural network integrity and emotional symptoms in YPHIV.
- To compare brain network characteristics between YPHIV and HIV-unexposed/uninfected youth.
- To explore the association of inflammatory biomarkers with brain network integrity in YPHIV.
Main Methods:
- Utilized Magnetic Resonance Imaging (MRI) to construct morphometric similarity networks.
- Applied graph theory to assess network segregation, resilience, and integration (global efficiency).
- Compared network metrics between 40 YPHIV and 214 controls, and correlated metrics with emotional symptom scores and biomarkers in YPHIV.
Main Results:
- YPHIV exhibited significantly lower global efficiency in the salience network (SN), default mode network (DMN), and whole brain networks compared to controls.
- YPHIV showed reduced network resilience (assortativity) in the DMN and whole brain networks.
- Higher emotional symptom scores correlated with altered global efficiency in the SN and DMN; inflammatory/cardiac markers were associated with network integrity.
Conclusions:
- HIV significantly impacts the structural integrity of developing brain networks in youth.
- Dysfunction in the SN and DMN, related to network efficiency, may underlie emotional challenges in YPHIV.
- Findings highlight the neurobiological effects of PHIV and suggest potential targets for intervention.
Abstract:
Perinatally acquired HIV infection (PHIV) currently affects approximately 1.7 million children worldwide. Youth with PHIV (YPHIV) are at increased risk for emotional and behavioral symptoms, yet few studies have examined relationships between these symptoms and brain structure. Previous neuroimaging studies in YPHIV report alterations within the salience network (SN), cognitive control network (CCN), and default mode network (DMN). These areas have been associated with social and emotional processing, emotion regulation, and executive function. We examined structural brain network integrity from MRI using morphometric similarity networks and graph theoretical measures of segregation (transitivity), resilience (assortativity), and integration (global efficiency). We examined brain network integrity of 40 YPHIV compared to 214 youths without HIV exposure or infection. Amongst YPHIV, we related structural brain network metrics to the Emotional Symptoms Index of the Behavioral Assessment System for Children, 2nd edition. We also examined the relationship of inflammatory biomarkers in YPHIV to brain network integrity. YPHIV had significantly lower global efficiency in the SN, DMN, and the whole brain network compared to controls. YPHIV also demonstrated lower assortativity or resilience (i.e., network robustness) compared to controls in the DMN and whole brain network. Further, higher emotional symptom score was associated with higher global efficiency in the SN and lower global efficiency in the DMN, signaling more emotional challenges. A significant association was also found between several inflammatory and cardiac markers with structural network integrity. These findings suggest an impact of HIV on developing brain networks, and potential dysfunction of the SN and DMN in relation to network efficiency.
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