Session 3G: Neurobehavioral Biomarkers as a Potential Gateway for Offsetting Early Coronary Heart Disease Risk in Adolescents
Session Number
Session 3G: 2nd Presentation
Advisor(s)
Anna Varentsova and Lei Wang, Northwestern University
Location
Room A117
Start Date
28-4-2017 1:15 PM
End Date
28-4-2017 2:30 PM
Abstract
Neurological research has yet to fully link socioeconomic status (SES) disparities to Coronary Heart Disease (CHD) risk. Numerous studies have attempted to show the relationship between adult CHD risk and SES, but little is still known about adolescent CHD risk and the cerebral origins of these SES disparities. We collected structural magnetic resonance imaging (T1MRI) data from a pool of 41 adolescents between the ages of 13 and 14. Using MRI software tools on computerized brain models, we manually assessed 6,232 sub-cortical regions for 3.5+ million slices and associated their found cerebral cortical thickness (CTh) and gray matter volume (GMV) biomarker values with adolescents’ respective SES scores. We used these associations to predict CHD risk in adolescents. We found SES to be significantly positively correlated with cerebral CTh in the lingual gyrus, precentral gyrus, lateral orbitofrontal, postcentral gyrus, superior parietal lobule, precuneus, entorhinal cortex, and middle temporal gyrus. In addition, we found SES to be significantly positively correlated with cerebral GMV in the medial orbitofrontal, supramarginal gyrus, and temporal pole. The results indicate that adolescent SES is significantly positively correlated with several neurobehavioral biomarkers of CHD risk. These findings trace adolescent SES to CHD risk, thus introducing neurobehavioral biomarkers as a gateway into offsetting cardiovascular risk in adolescents.
Session 3G: Neurobehavioral Biomarkers as a Potential Gateway for Offsetting Early Coronary Heart Disease Risk in Adolescents
Room A117
Neurological research has yet to fully link socioeconomic status (SES) disparities to Coronary Heart Disease (CHD) risk. Numerous studies have attempted to show the relationship between adult CHD risk and SES, but little is still known about adolescent CHD risk and the cerebral origins of these SES disparities. We collected structural magnetic resonance imaging (T1MRI) data from a pool of 41 adolescents between the ages of 13 and 14. Using MRI software tools on computerized brain models, we manually assessed 6,232 sub-cortical regions for 3.5+ million slices and associated their found cerebral cortical thickness (CTh) and gray matter volume (GMV) biomarker values with adolescents’ respective SES scores. We used these associations to predict CHD risk in adolescents. We found SES to be significantly positively correlated with cerebral CTh in the lingual gyrus, precentral gyrus, lateral orbitofrontal, postcentral gyrus, superior parietal lobule, precuneus, entorhinal cortex, and middle temporal gyrus. In addition, we found SES to be significantly positively correlated with cerebral GMV in the medial orbitofrontal, supramarginal gyrus, and temporal pole. The results indicate that adolescent SES is significantly positively correlated with several neurobehavioral biomarkers of CHD risk. These findings trace adolescent SES to CHD risk, thus introducing neurobehavioral biomarkers as a gateway into offsetting cardiovascular risk in adolescents.