Peterson B S, Feineigle P A, Staib L H, Gore J C
Yale Child Study Center, Yale University, New Haven, Connecticut 06520, USA.
Hum Brain Mapp. 2001 Apr;12(4):232-45. doi: 10.1002/1097-0193(200104)12:4<232::AID-HBM1018>3.0.CO;2-J.
Our objective was to develop a novel factor-based analysis of the morphology of the corpus callosum and assess its applicability to the study of normal development, intelligence, and other subject characteristics. The contour of the corpus callosum was defined in the midsagittal planes of the MRI scans of 325 subjects, 6 to 88 years of age. The contours were coregistered, rescaled, and resampled to 50 points that were then entered into a principal components analysis with varimax rotation. The analysis yielded 8 factors for the contours of 138 healthy subjects. A second analysis of contours from 187 subjects in a patient group extracted 8 similar factors. Correlations of factor scores with conventional measures of callosum shape supported the construct validity of the assignment of morphological features to each of the factors. Correlations of factor scores with age, sex, handedness, ventricular volume, and IQ demonstrated the predictive validity of the factor structure and helped to define the neural correlates of these subject characteristics. We conclude that factor-based measures capture latent morphological features of the corpus callosum that are reliable and valid. Future studies will determine whether these novel measures are more closely related to neurobiologically important features of the corpus than are conventional measures of callosum size and shape.
我们的目标是开发一种基于因子的胼胝体形态分析方法，并评估其在正常发育、智力及其他受试者特征研究中的适用性。在325名年龄在6至88岁受试者的MRI扫描矢状面中定义了胼胝体轮廓。将轮廓进行配准、重新缩放并重新采样至50个点，然后将这些点输入到采用方差最大化旋转的主成分分析中。该分析得出了138名健康受试者轮廓的8个因子。对患者组中187名受试者的轮廓进行的第二次分析提取出了8个相似因子。因子得分与胼胝体形状传统测量指标的相关性支持了将形态学特征分配给每个因子的结构效度。因子得分与年龄、性别、利手、脑室容积和智商的相关性证明了因子结构的预测效度，并有助于确定这些受试者特征的神经关联。我们得出结论，基于因子的测量方法能够捕捉胼胝体潜在的形态学特征，这些特征可靠且有效。未来的研究将确定这些新方法是否比胼胝体大小和形状的传统测量方法与胼胝体的神经生物学重要特征更密切相关。
