Ishii Tatsuya, Kimura Yasuyuki, Ichise Masanori, Takahata Keisuke, Kitamura Soichiro, Moriguchi Sho, Kubota Manabu, Zhang Ming-Rong, Yamada Makiko, Higuchi Makoto, Okubo Yoshiro, Suhara Tetsuya
Department of Functional Brain Imaging Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.
Department of Neuropsychiatry, Nippon Medical School, Tokyo, Japan.
PLoS One. 2017 Dec 8;12(12):e0189318. doi: 10.1371/journal.pone.0189318. eCollection 2017.
Seven healthy volunteers underwent PET scans with [18F]altanserin and [11C]FLB 457 for 5-HT2A and D2 receptors, respectively. As a measure of receptor density, a binding potential (BP) was calculated from PET data for 76 cerebral cortical regions. A correlation matrix was calculated between the binding potentials of [18F]altanserin and [11C]FLB 457 for those regions. The regional relationships were investigated using a bicluster analysis of the correlation matrix with an iterative signature algorithm.
We identified two clusters of regions. The first cluster identified a distinct profile of correlation coefficients between 5-HT2A and D2 receptors, with the former in regions related to sensorimotor integration (supplementary motor area, superior parietal gyrus, and paracentral lobule) and the latter in most cortical regions. The second cluster identified another distinct profile of correlation coefficients between 5-HT2A receptors in the bilateral hippocampi and D2 receptors in most cortical regions.
The observation of two distinct clusters in the correlation matrix suggests regional interactions between 5-HT2A and D2 receptors in sensorimotor integration and hippocampal function. A bicluster analysis of the correlation matrix of these neuroreceptors may be beneficial in understanding molecular networks in the human brain.
7名健康志愿者分别接受了用[18F]阿坦色林和[11C]FLB 457进行的PET扫描,以检测5-HT2A和D2受体。作为受体密度的一种测量方法,从76个大脑皮质区域的PET数据计算出结合潜力(BP)。计算这些区域的[18F]阿坦色林和[11C]FLB 457结合潜力之间的相关矩阵。使用具有迭代特征算法的相关矩阵双聚类分析来研究区域关系。
我们识别出两个区域簇。第一个簇识别出5-HT2A和D2受体之间相关系数的独特分布,前者存在于与感觉运动整合相关的区域(辅助运动区、顶上叶回和中央旁小叶),后者存在于大多数皮质区域。第二个簇识别出双侧海马体中5-HT2A受体与大多数皮质区域中D2受体之间相关系数的另一种独特分布。
在相关矩阵中观察到两个不同的簇,这表明在感觉运动整合和海马体功能中5-HT2A和D2受体之间存在区域相互作用。对这些神经受体相关矩阵进行双聚类分析可能有助于理解人类大脑中的分子网络。