Brain morphometry and intelligence quotient measurements in children with sickle cell disease
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Published on: February 19, 2017
Rong Chen1, Mikolaj A Pawlak, Thomas B Flynn
1Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA. rong.chen@uphs.upenn.edu
Insights
Intelligence quotient (IQ) in children with sickle cell disease is linked to regional gray matter volume. Smaller gray matter volumes in specific brain regions correlate with lower IQ scores, independent of visible infarcts.
Area of Science:
- Neuroscience
- Pediatrics
- Genetics
Background:
- Sickle cell disease (SCD) is a genetic blood disorder.
- Cognitive deficits, including lower intelligence quotient (IQ), are observed in children with SCD.
- These deficits can occur even without visible brain infarcts on MRI.
Purpose of the Study:
- To investigate the relationship between regional gray matter volume and IQ variability in children with SCD.
- To test the hypothesis that gray matter volume significantly explains IQ score differences in this population.
Main Methods:
- Studied 31 children with SCD (hemoglobin SS) without stroke history or MRI abnormalities.
- Administered the Kaufman Brief Intelligence Test to assess IQ and categorized children into high and low IQ groups.
- Employed Graphical-Model-Based Multivariate Analysis (GAMMA), a Bayesian voxel-based morphometry technique, to analyze IQ and regional gray matter volume.
Main Results:
- Identified a significant association between lower IQ and reduced cortical gray matter volume.
- Children with lower IQ exhibited smaller gray matter volumes in frontal, temporal, and parietal lobes compared to high-IQ peers.
Conclusions:
- A linear association exists between IQ and regional gray matter volume in children with SCD.
- Regional gray matter volume variability contributes to intellectual ability variance in children with SCD, irrespective of infarcts.
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.
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