College of Engineering and Computing, Florida International University, 10555 W. Flagler Street, Miami, FL 33174, USA.
Hum Brain Mapp. 2011 May;32(5):784-99. doi: 10.1002/hbm.21066.
To study the neural networks reorganization in pediatric epilepsy, a consortium of imaging centers was established to collect functional imaging data. Common paradigms and similar acquisition parameters were used. We studied 122 children (64 control and 58 LRE patients) across five sites using EPI BOLD fMRI and an auditory description decision task. After normalization to the MNI atlas, activation maps generated by FSL were separated into three sub-groups using a distance method in the principal component analysis (PCA)-based decisional space. Three activation patterns were identified: (1) the typical distributed network expected for task in left inferior frontal gyrus (Broca's) and along left superior temporal gyrus (Wernicke's) (60 controls, 35 patients); (2) a variant left dominant pattern with greater activation in IFG, mesial left frontal lobe, and right cerebellum (three controls, 15 patients); and (3) activation in the right counterparts of the first pattern in Broca's area (one control, eight patients). Patients were over represented in Groups 2 and 3 (P < 0.0004). There were no scanner (P = 0.4) or site effects (P = 0.6). Our data-driven method for fMRI activation pattern separation is independent of a priori notions and bias inherent in region of interest and visual analyses. In addition to the anticipated atypical right dominant activation pattern, a sub-pattern was identified that involved intensity and extent differences of activation within the distributed left hemisphere language processing network. These findings suggest a different, perhaps less efficient, cognitive strategy for LRE group to perform the task.
为了研究儿科癫痫中的神经网络重组,成立了一个成像中心联盟来收集功能成像数据。使用了常见的范式和相似的采集参数。我们使用 EPI BOLD fMRI 和听觉描述决策任务研究了五个地点的 122 名儿童(64 名对照组和 58 名 LRE 患者)。在归一化到 MNI 图谱后,使用基于 FSL 的激活图通过主成分分析(PCA)决策空间中的距离方法分为三个子组。确定了三种激活模式:(1)在左额下回(Broca's)和左颞上回(Wernicke's)预期的典型分布式网络(60 名对照,35 名患者);(2)一个变体左侧优势模式,在 IFG、内侧左额叶和右侧小脑中有更大的激活(三个对照,15 名患者);(3)Broca 区第一个模式的右侧对应物的激活(一名对照,八名患者)。患者在第 2 组和第 3 组中的代表人数更多(P < 0.0004)。没有扫描仪(P = 0.4)或地点效应(P = 0.6)。我们用于 fMRI 激活模式分离的基于数据的方法独立于 ROI 和视觉分析中固有的先验概念和偏差。除了预期的非典型右侧优势激活模式外,还确定了一种涉及分布式左侧语言处理网络内激活强度和范围差异的子模式。这些发现表明 LRE 组执行任务的认知策略不同,也许效率更低。