Jeong-Won Jeong1,2,3, Senthil Sundaram1,2,3, Michael E Behen1,2,3, Harry T Chugani4,5. 1. Carman and Ann Adams Department of Pediatrics Wayne State University School of Medicine, Detroit, Michigan, USA. 2. Department of Neurology, Wayne State University School of Medicine, Detroit, Michigan, USA. 3. Translational Imaging Laboratory, PET center, Children's Hospital of Michigan, Detroit, Michigan, USA. 4. Department of Neurology, Nemours DuPont Hospital for Children, Wilmington, Delaware, USA. 5. Thomas Jefferson University School of Medicine, Philadelphia, Pennsylvania, USA.
Abstract
PURPOSE: To investigate whether different genetic mutations observed in children with global developmental delay (GD) are associated with unique patterns of the arcuate fasciculus dysmorphology. MATERIALS AND METHODS: Six children with GD (age: 36.8 ± 14.1 months, 5 boys) having mutations in MID1, CDK4, SFRP1, EN2, RXRG-GLRB, or MECP2, and five children with typical development (TD, age: 38.5 ± 20.5 months, 4 boys) underwent a 3 Tesla MRI including diffusion weighted imaging (DWI). Five language pathway segments in the left hemisphere, "C1 : Broca's to Wernicke's area," "C2 : Broca's to premotor area," "C3 : premotor to Wernicke's area," "C4 : Wernicke's to inferior parietal area," and "C5 : premotor to inferior parietal area" were objectively identified using the DWI "maximum a posteriori probability" classifier. RESULTS: Affinity propagation clustering analysis found that three arcuate pathway segments, C1,2,4 , of MID1, CDK4, EN2, and MECP2 had a similar pattern of volume ratio while those of SFRP1 and RXRG-GLRB had a heterogeneous pattern of volume ratio (net similarity = -0.01). Using receiver operating characteristic curve analysis, the fiber ratios of C1,2,4 showed a high probability to discriminate between GD and TD, yielding an accuracy of 0.91, 0.91, 1.00, respectively. The fiber volumes of C1 and C4 showed a strong correlation with expressive language (R2 = 0.6019; P-value = 0.033) and receptive language (R2 = 0.6379; P-value = 0.028), respectively. CONCLUSION: The findings of the present study provide preliminary evidence to suggest that different segments of the arcuate fasciculus are formed under the regulation of different genes which, when mutated, may result in developmental delay. J. Magn. Reson. Imaging 2016;44:1504-1512.
PURPOSE: To investigate whether different genetic mutations observed in children with global developmental delay (GD) are associated with unique patterns of the arcuate fasciculus dysmorphology. MATERIALS AND METHODS: Six children with GD (age: 36.8 ± 14.1 months, 5 boys) having mutations in MID1, CDK4, SFRP1, EN2, RXRG-GLRB, or MECP2, and five children with typical development (TD, age: 38.5 ± 20.5 months, 4 boys) underwent a 3 Tesla MRI including diffusion weighted imaging (DWI). Five language pathway segments in the left hemisphere, "C1 : Broca's to Wernicke's area," "C2 : Broca's to premotor area," "C3 : premotor to Wernicke's area," "C4 : Wernicke's to inferior parietal area," and "C5 : premotor to inferior parietal area" were objectively identified using the DWI "maximum a posteriori probability" classifier. RESULTS: Affinity propagation clustering analysis found that three arcuate pathway segments, C1,2,4 , of MID1, CDK4, EN2, and MECP2 had a similar pattern of volume ratio while those of SFRP1 and RXRG-GLRB had a heterogeneous pattern of volume ratio (net similarity = -0.01). Using receiver operating characteristic curve analysis, the fiber ratios of C1,2,4 showed a high probability to discriminate between GD and TD, yielding an accuracy of 0.91, 0.91, 1.00, respectively. The fiber volumes of C1 and C4 showed a strong correlation with expressive language (R2 = 0.6019; P-value = 0.033) and receptive language (R2 = 0.6379; P-value = 0.028), respectively. CONCLUSION: The findings of the present study provide preliminary evidence to suggest that different segments of the arcuate fasciculus are formed under the regulation of different genes which, when mutated, may result in developmental delay. J. Magn. Reson. Imaging 2016;44:1504-1512.
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