Laboratory for Social and Neural Systems Research (SNS Lab), University Hospital Zurich, Rämistrasse 100, University of Zurich, Zurich CH-8091, Switzerland.
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, 12 Queen Square, University College London, London WC1N 3BG, UK.
Cereb Cortex. 2023 Apr 4;33(8):4606-4611. doi: 10.1093/cercor/bhac364.
There is emerging evidence that sampling the blood-oxygen-level-dependent (BOLD) response with high temporal resolution opens up new avenues to study the in vivo functioning of the human brain with functional magnetic resonance imaging. Because the speed of sampling and the signal level are intrinsically connected in magnetic resonance imaging via the T1 relaxation time, optimization efforts usually must make a trade-off to increase the temporal sampling rate at the cost of the signal level. We present a method, which combines a sparse event-related stimulus paradigm with subsequent data reshuffling to achieve high temporal resolution while maintaining high signal levels (HiHi). The proof-of-principle is presented by separately measuring the single-voxel time course of the BOLD response in both the primary visual and primary motor cortices with 100-ms temporal resolution.
有新的证据表明,采用高时间分辨率的血氧水平依赖(BOLD)响应采样为利用功能磁共振成像研究人类大脑的体内功能开辟了新途径。由于在磁共振成像中,采样速度和信号水平通过 T1 弛豫时间内在地相关,因此优化工作通常必须权衡利弊,以增加时间采样率为代价来提高信号水平。我们提出了一种方法,该方法将稀疏的事件相关刺激范式与后续的数据重排相结合,在保持高信号水平的同时实现高时间分辨率(HiHi)。通过分别以 100ms 的时间分辨率测量初级视觉和初级运动皮层中的单个体素 BOLD 响应的时程,证明了这一原理。