Literature DB >> 19898248

Brain morphometry and intelligence quotient measurements in children with sickle cell disease.

Rong Chen1, Mikolaj A Pawlak, Thomas B Flynn, Jaroslaw Krejza, Edward H Herskovits, Elias R Melhem.   

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.

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Mesh:

Year:  2009        PMID: 19898248     DOI: 10.1097/DBP.0b013e3181c35ddf

Source DB:  PubMed          Journal:  J Dev Behav Pediatr        ISSN: 0196-206X            Impact factor:   2.225


  11 in total

1.  Sickle cell disease: reference values and interhemispheric differences of nonimaging transcranial Doppler blood flow parameters.

Authors:  M Arkuszewski; J Krejza; R Chen; J L Kwiatkowski; R Ichord; R Zimmerman; K Ohene-Frempong; L Desiderio; E R Melhem
Journal:  AJNR Am J Neuroradiol       Date:  2011-06-23       Impact factor: 3.825

2.  Multivariate surface-based analysis of corpus callosum in patients with sickle cell disease.

Authors:  Yaqiong Chai; Yi Lao; Yicen Li; Chaoran Ji; Sharon O'Neil; Yalin Wang; Natasha Lepore; John Wood
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-01-26

3.  Brain morphometric analysis predicts decline of intelligence quotient in children with sickle cell disease: A preliminary study.

Authors:  Rong Chen; Jaroslaw Krejza; Michal Arkuszewski; Robert A Zimmerman; Edward H Herskovits; Elias R Melhem
Journal:  Adv Med Sci       Date:  2017-03-06       Impact factor: 3.287

4.  Sickle cell anemia: reference values of cerebral blood flow determined by continuous arterial spin labeling MRI.

Authors:  M Arkuszewski; J Krejza; R Chen; E R Melhem
Journal:  Neuroradiol J       Date:  2013-05-10

5.  Sickle cell disease and transcranial Doppler imaging: inter-hemispheric differences in blood flow Doppler parameters.

Authors:  Jaroslaw Krejza; Rong Chen; Grzegorz Romanowicz; Janet L Kwiatkowski; Rebecca Ichord; Michal Arkuszewski; Robert Zimmerman; Kwaku Ohene-Frempong; Lisa Desiderio; Elias R Melhem
Journal:  Stroke       Date:  2010-11-18       Impact factor: 7.914

6.  Identification of minimal hepatic encephalopathy in patients with cirrhosis based on white matter imaging and Bayesian data mining.

Authors:  H-J Chen; R Chen; M Yang; G-J Teng; E H Herskovits
Journal:  AJNR Am J Neuroradiol       Date:  2014-12-11       Impact factor: 3.825

Review 7.  Silent cerebral infarcts: a review on a prevalent and progressive cause of neurologic injury in sickle cell anemia.

Authors:  Michael R DeBaun; F Daniel Armstrong; Robert C McKinstry; Russell E Ware; Elliot Vichinsky; Fenella J Kirkham
Journal:  Blood       Date:  2012-02-21       Impact factor: 22.113

8.  Co-Occurrence of Neurodevelopmental Disorders in Pediatric Sickle Cell Disease.

Authors:  Eboni I Lance; Alicia D Cannon; Bruce K Shapiro; Li-Ching Lee; Michael V Johnston; James F Casella
Journal:  J Dev Behav Pediatr       Date:  2021-08-01       Impact factor: 2.988

9.  Neuroimaging abnormalities in adults with sickle cell anemia: associations with cognition.

Authors:  R Scott Mackin; Philip Insel; Diana Truran; Elliot P Vichinsky; Lynne D Neumayr; F D Armstrong; Jeffrey I Gold; Karen Kesler; Joseph Brewer; Michael W Weiner
Journal:  Neurology       Date:  2014-02-12       Impact factor: 9.910

10.  Tract-based Bayesian multivariate analysis of mild traumatic brain injury.

Authors:  Yongkang Liu; Tianyao Wang; Xiao Chen; Jianhua Zhang; Guoxing Zhou; Zhongqiu Wang; Rong Chen
Journal:  Comput Math Methods Med       Date:  2014-03-10       Impact factor: 2.238

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