Brain diffusivity pattern is individual-specific information
Brain diffusivity pattern is individual-specific information
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大脑扩散模式是个体特定信息
DOI：
10.1016/j.neuroscience.2015.06.032
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发表时间：
2015
期刊：
影响因子：
3.3
通讯作者：
Kuni Ohtomo
中科院分区：
文献类型：
--
作者：
Hidemasa Takao;Naoto Hayashi;Kuni Ohtomo
人类大脑由1000亿个神经元组成的复杂网络构成，这些神经元是其高级功能的基础。大脑中的神经连接最近引起了科学界越来越多的兴趣。识别这些神经连接中的个体差异对于研究大脑功能和表现的个体差异的背景非常重要。在本研究中，我们调查了反映神经连接的脑扩散模式是否在个体之间存在明显差异;即，脑扩散率是否是个人可识别的信息。使用扩散张量成像数据从224名健康受试者扫描两次，间隔约1年，我们进行了脑识别的分数各向异性图的空间归一化，特征提取的基础上主成分分析，并计算投影到子空间的图像对之间的欧氏距离。即使只有16个维度用于投影，一阶识别率也达到99.1%。采用32个维度进行投影，一阶识别率为100%。真实接受率为95.1%和100%，错误接受率为0.001%，分别使用16和1032个维度进行投影。在所用扫描仪的不同组合之间或在扫描仪升级和未升级的图像对之间，欧几里德距离没有大的差异。结果表明，脑扩散率可以识别特定的个体;即，脑扩散的模式是个人可识别的信息。大脑扩散率的个体差异将形成个性和大脑功能的个体差异的基础。
The human brain is composed of complex networks of 100 billion neurons that underlie its higher functions. The set of neural connections in the brain has recently attracted growing interest from the scientific community. It is important to identify individual differences in these neural connections to study the background of individual differences in brain function and performance. In the present study, we investigated whether the pattern of brain diffusion, reflecting neural connections, is discernibly different among individuals; i.e., whether brain diffusivity is personally identifiable information. Using diffusion tensor imaging data from 224 healthy subjects scanned twice at an interval of about 1 year, we performed brain recognition by spatial normalization of fractional anisotropy maps, feature extraction based on Principal Component Analysis, and calculation of the Euclidean distances between image pairs projected into the subspace. Even with only 16 dimensions used for projection, the rank-one identification rate was 99.1%. The rank-one identification rate was 100% with ⩾32 dimensions used for projection. The genuine accept rates were 95.1% and 100% at a false accept rate of 0.001%, with 16 and ⩾32 dimensions used for projection, respectively. There were no large differences in the Euclidean distance among different combinations of scanners used or between image pairs with and without scanner upgrade. The results indicate that brain diffusivity can identify a specific individual; i.e., the pattern of brain diffusion is personally identifiable information. Individual differences in brain diffusivity will form the basis of individual differences in personality and brain function.