PURPOSE: To analyze diffusion tensor imaging (DTI) in two types of cerebral palsy (CP): the athetotic-type and the spastic-type, using an atlas-based anatomical analysis of the entire brain, and to investigate whether these images have unique anatomical characteristics that can support functional diagnoses. MATERIALS AND METHODS: We retrospectively analyzed the DTI of seven children with athetotic-type, 11 children with spastic-type, and 20 healthy control children, all age-matched. The severity of motor dysfunction was evaluated with the Gross Motor Function Classification System (GMFCS). The images were normalized using a linear transformation, followed by large deformation diffeomorphic metric mapping. For 205 parcellated brain areas, the volume, fractional anisotropy, and mean diffusivity were measured. Principal component analysis (PCA) was performed for the Z-scores of these parameters. RESULTS: The GMFCS scores in athetotic-type were significantly higher than those in spastic-type (P < 0.001). PCA extracted anatomical components that comprised the two types of CP, as well as the severity of motor dysfunction. In the athetotic group, the abnormalities were more severe than in the spastic group. In the spastic group, significant changes were concentrated in the lateral ventricle and periventricular structures. CONCLUSION: Our results quantitatively delineated anatomical characteristics that reflected the functional findings in two types of CP.
PURPOSE: To analyze diffusion tensor imaging (DTI) in two types of cerebral palsy (CP): the athetotic-type and the spastic-type, using an atlas-based anatomical analysis of the entire brain, and to investigate whether these images have unique anatomical characteristics that can support functional diagnoses. MATERIALS AND METHODS: We retrospectively analyzed the DTI of seven children with athetotic-type, 11 children with spastic-type, and 20 healthy control children, all age-matched. The severity of motor dysfunction was evaluated with the Gross Motor Function Classification System (GMFCS). The images were normalized using a linear transformation, followed by large deformation diffeomorphic metric mapping. For 205 parcellated brain areas, the volume, fractional anisotropy, and mean diffusivity were measured. Principal component analysis (PCA) was performed for the Z-scores of these parameters. RESULTS: The GMFCS scores in athetotic-type were significantly higher than those in spastic-type (P < 0.001). PCA extracted anatomical components that comprised the two types of CP, as well as the severity of motor dysfunction. In the athetotic group, the abnormalities were more severe than in the spastic group. In the spastic group, significant changes were concentrated in the lateral ventricle and periventricular structures. CONCLUSION: Our results quantitatively delineated anatomical characteristics that reflected the functional findings in two types of CP.
Authors: Andreia V Faria; Alexander Hoon; Elaine Stashinko; Xin Li; Hangyi Jiang; Ameneh Mashayekh; Kazi Akhter; John Hsu; Kenichi Oishi; Jiangyang Zhang; Michael I Miller; Peter C M van Zijl; Susumu Mori Journal: Neuroimage Date: 2010-11-05 Impact factor: 6.556
Authors: Kenichi Oishi; Susumu Mori; Pamela K Donohue; Thomas Ernst; Lynn Anderson; Steven Buchthal; Andreia Faria; Hangyi Jiang; Xin Li; Michael I Miller; Peter C M van Zijl; Linda Chang Journal: Neuroimage Date: 2011-01-26 Impact factor: 6.556
Authors: Andreia V Faria; Jiangyang Zhang; Kenichi Oishi; Xin Li; Hangyi Jiang; Kazi Akhter; Laurent Hermoye; Seung-Koo Lee; Alexander Hoon; Elaine Stashinko; Michael I Miller; Peter C M van Zijl; Susumu Mori Journal: Neuroimage Date: 2010-04-24 Impact factor: 6.556
Authors: Claudio L Ferre; Jason B Carmel; Véronique H Flamand; Andrew M Gordon; Kathleen M Friel Journal: Neurorehabil Neural Repair Date: 2020-01-26 Impact factor: 3.919
Authors: F Arrigoni; D Peruzzo; C Gagliardi; C Maghini; P Colombo; F Servodio Iammarrone; C Pierpaoli; F Triulzi; A C Turconi Journal: AJNR Am J Neuroradiol Date: 2016-03-17 Impact factor: 3.825
Authors: F Lennartsson; L Holmström; A-C Eliasson; O Flodmark; H Forssberg; J-D Tournier; B Vollmer Journal: AJNR Am J Neuroradiol Date: 2014-08-28 Impact factor: 3.825