BRAIN ACTIVATION PROFILES IN DYSLEXIA--A MEG STUDY

功能成像数据，我们已经获得了与方法的全头脑磁图（MEG），也被称为磁源成像或MSI，表明，时空配置文件的大脑激活的个别障碍儿童显着不同的个别非障碍儿童在执行任务，需要语音解码。 侧面的主要差异集中在后上级颞回和缘上回、额下区以及最显著的角回的激活程度上。 因此，我们在这个项目中的第一个目标将是评估这些初步结果的可靠性与足够的样本80个非阅读障碍和160个阅读障碍儿童。 第二个目的将是评估是否，除了在语音处理的差异，在正字法和视觉形式处理的差异，正常和诵读困难的儿童之间，有助于后者的异常激活配置文件。 第三个目的将是评估以下假设：观察到的包括角回在内的左颞顶区活动减少可能归因于该区域更普遍的功能障碍，这可能是与阅读障碍相关的许多认知缺陷的基础。除了上述目的，我们将调查注意缺陷的激活配置文件和他们的差异使用额外的统计分析可能的贡献。最后，利用这一事实，即MEG激活配置文件（a）计算为个别科目，（B）的特点是出色的时间分辨率，我们将探讨通过使用模糊聚类技术揭示微妙的差异，正常和睡眠障碍儿童的配置文件的可能性。 详细描述的时空特征的个人档案可能会成为有用的在未来的研究中评估干预策略对个别儿童的功能性脑重组的影响。

Functional imaging data we have obtained with the method of whole-head Magnetoencephalography (MEG), also referred to as Magnetic Source Imaging or MSI, indicate that the spatiotemporal profiles of brain activation of individual dyslexic children differ dramatically from those of individual non-dyslexic children during the performance of tasks that entail phonological decoding. The main differences in the profiles center on the degree of activation of the posterior superior temporal and supramarginal gyri, the inferior frontal area, and, most notably, the angular gyrus. Accordingly, our first aim in this project will be to assess the reliability of these preliminary findings with adequate samples of 80 non-dyslexic and 160 dyslexic children. The second aim will be to assess whether, in addition to differences in phonological processing, differences in orthographic and visual form processing, between normal and dyslexic children, contribute to the aberrant activation profile of the latter. The third aim will be to evaluate the hypothesis that the observed reduction of activity of the left temporoparietal area including the angular gyrus, may be attributed to a more general dysfunction of that region that may underlie many of the cognitive deficits associated with dyslexia. In addition to the above aims, we will investigate that possible contribution of attention deficits to the activation profiles and their differences using additional statistical analyses. Finally, taking advantage of the fact that MEG activation profiles are (a) computed for individual subjects, and (b) are characterized by excellent temporal resolution, we will explore the possibility of uncovering subtle differences in the profiles of normal and dyslexic children through the use of fuzzy clustering techniques. Detailed characterization of the spatiotemporal features of individual profiles may become useful in future studies for assessing the effects of intervention strategies on the functional cerebral reorganization of individual dyslexic children.