The initial decrease in 7T-BOLD signals detected by hyperalignment contains information to decode facial expressions
The initial decrease in 7T-BOLD signals detected by hyperalignment contains information to decode facial expressions
复制标题
DOI：
10.1016/j.neuroimage.2022.119537
复制
发表时间：
2022-11-15
期刊：
影响因子：
5.7
通讯作者：
Haruno，Masahiko
中科院分区：
文献类型：
--
作者：
Tanaka，Toshiko;Okamoto，Naohiro;Haruno，Masahiko
血氧水平依赖性（BOLD）信号的初始降低反映了初级神经元活动，而不是后来的血流动力学正峰值响应。此外，超高场BOLD对初始脱氧信号具有高灵敏度。然而，目前还不完全清楚BOLD信号的初始下降包含了多少关于任务事件和认知过程的信息。BOLD信号的多体素模式分析（MVPA）已经能够量化包含在活动模式中的信息，但它主要依赖于正峰响应。在这里，我们应用了基于信号的功能性个体间比对算法（即，超对齐）扫描的7 T-BOLD时间序列，同时参与者进行面部表情辨别任务。我们发现，MVPA解码的准确性，在双侧杏仁核2s后，面部发病显着超越机会。此外，我们证实，体素有助于解码精度在2秒显示降低血流动力学响应。这些结果表明，7 T-BOLD信号的最初减少包含了比以前认为的更精细的任务事件和认知过程的信息。
The initial decrease in the blood oxygenation level-dependent (BOLD) signal reflects primary neuronal activity more than the later hemodynamic positive peak responses. Moreover, ultra-high field BOLD has high sensitivity for the initial de-oxygenation signal. However, it is not fully understood how much information about task events and cognitive processes the initial decrease in the BOLD signal contains. Multivoxel pattern analysis (MVPA) of the BOLD signal has enabled the quantification of information contained in the activity patterns, but it has mainly relied on the positive peak responses. Here, we applied a signal-based functional inter-individual alignment algorithm (i.e., hyper-alignment) to a 7T-BOLD timeseries scanned while participants conducted a facial expression discrimination task. We found that the MVPA decoding accuracy in the bilateral amygdala 2 s after the face onset was significantly beyond chance. Furthermore, we confirmed that the voxels contributing to the decoding accuracy at 2 s displayed a decreasing hemodynamics response. These results demonstrated that the initial decrease in 7T-BOLD signals contains finer information about task events and cognitive processes than thought previously.