Brain morphometry and intelligence quotient measurements in children with sickle cell disease.
Publication/Presentation Date
12-1-2009
Abstract
OBJECTIVE: To verify the hypothesis that volume of regional gray matter accounts substantially for variability in intelligence quotient (IQ) score among children with sickle cell disease, who have no magnetic resonance visible infarcts.
METHODS: We studied 31 children with sickle cell disease, homozygous for hemoglobin S, with no history of stroke, no magnetic resonance signal-intensity abnormality, and transcranial Doppler velocities < 170 cm/sec, with a T1-weighted magnetic resonance sequence and the Kaufman Brief Intelligence Test. On the basis of Kaufman Brief Intelligence Test, we classified these children into 2 groups: high and low IQ based on a median split. We then used an automated and novel Bayesian voxel-based morphometry technique, called Graphical-Model-Based Multivariate Analysis (GAMMA), to assess the probabilistic association between IQ score and regional gray matter volume.
RESULTS: GAMMA found 1 region linking low IQ with smaller cortical gray matter volume. In comparison with the children in the high-IQ group, children in the low-IQ group had smaller regional gray matter volume in both frontal lobes, both temporal lobes, and both parietal lobes.
CONCLUSIONS: In children with sickle cell disease, we found a linear association between IQ and regional gray matter volume. This finding suggests that some variance in intellectual ability in children with sickle cell disease is accounted for by regional variability of gray matter volume, which is independent of neuroradiological evidence of infarct.
Volume
30
Issue
6
First Page
509
Last Page
517
ISSN
1536-7312
Published In/Presented At
Chen, R., Pawlak, M. A., Flynn, T. B., Krejza, J., Herskovits, E. H., & Melhem, E. R. (2009). Brain morphometry and intelligence quotient measurements in children with sickle cell disease. Journal of developmental and behavioral pediatrics : JDBP, 30(6), 509–517. https://doi.org/10.1097/DBP.0b013e3181c35ddf
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
19898248
Department(s)
Administration and Leadership
Document Type
Article