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通过高时空分辨率 7T fMRI 确定人类皮质下-皮质视觉通路中依赖刺激的血液动力学反应时程。

Stimulus-dependent hemodynamic response timing across the human subcortical-cortical visual pathway identified through high spatiotemporal resolution 7T fMRI.

机构信息

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Society of Fellows, Harvard University, Cambridge, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.

出版信息

Neuroimage. 2018 Nov 1;181:279-291. doi: 10.1016/j.neuroimage.2018.06.056. Epub 2018 Jun 20.

Abstract

Recent developments in fMRI acquisition techniques now enable fast sampling with whole-brain coverage, suggesting fMRI can be used to track changes in neural activity at increasingly rapid timescales. When images are acquired at fast rates, the limiting factor for fMRI temporal resolution is the speed of the hemodynamic response. Given that HRFs may vary substantially in subcortical structures, characterizing the speed of subcortical hemodynamic responses, and how the hemodynamic response shape changes with stimulus duration (i.e. the hemodynamic nonlinearity), is needed for designing and interpreting fast fMRI studies of these regions. We studied the temporal properties and nonlinearities of the hemodynamic response function (HRF) across the human subcortical visual system, imaging superior colliculus (SC), lateral geniculate nucleus of the thalamus (LGN) and primary visual cortex (V1) with high spatiotemporal resolution 7 Tesla fMRI. By presenting stimuli of varying durations, we mapped the timing and nonlinearity of hemodynamic responses in these structures at high spatiotemporal resolution. We found that the hemodynamic response is consistently faster and narrower in subcortical structures than in cortex. However, the nonlinearity in LGN is similar to that in cortex, with shorter duration stimuli eliciting larger and faster responses than would have been predicted by a linear model. Using oscillatory visual stimuli, we tested the frequency response in LGN and found that its BOLD response tracked high-frequency (0.5 Hz) oscillations. The LGN response magnitudes were comparable to V1, allowing oscillatory BOLD signals to be detected in LGN despite the small size of this structure. These results suggest that the increase in the speed and amplitude of the hemodynamic response when neural activity is brief may be the key physiological driver of fast fMRI signals, enabling detection of high-frequency oscillations with fMRI. We conclude that subcortical visual structures exhibit fast and nonlinear hemodynamic responses, and that these dynamics enable detection of fast BOLD signals even within small deep brain structures when imaging is performed at ultra-high field.

摘要

目前,功能磁共振成像(fMRI)采集技术的最新进展使得全脑覆盖的快速采样成为可能,这表明 fMRI 可用于跟踪神经活动在不断加快的时间尺度上的变化。当以较快的速率获取图像时,fMRI 时间分辨率的限制因素是血液动力学响应的速度。鉴于皮质下结构中的 HRF 可能有很大差异,因此需要描述皮质下血液动力学响应的速度以及血液动力学响应形状如何随刺激持续时间(即血液动力学非线性)而变化,以便为这些区域的快速 fMRI 研究设计和解释提供依据。我们使用高时空分辨率 7 特斯拉 fMRI 研究了整个人类皮质下视觉系统的血液动力学响应函数(HRF)的时间特性和非线性,对上丘(SC)、外侧膝状体核(LGN)和初级视觉皮层(V1)进行成像。通过呈现不同持续时间的刺激,我们在高时空分辨率下绘制了这些结构中血液动力学响应的时间和非线性。我们发现,皮质下结构中的血液动力学响应始终比皮质中的血液动力学响应更快、更窄。然而,LGN 的非线性与皮质中的类似,短持续时间刺激引起的反应比线性模型预测的更大、更快。使用振荡视觉刺激,我们在 LGN 中测试了频率响应,发现其 BOLD 响应跟踪高频(0.5 Hz)振荡。LGN 的响应幅度与 V1 相当,尽管 LGN 结构较小,但仍可以检测到振荡的 BOLD 信号。这些结果表明,当神经活动短暂时,血液动力学响应的速度和幅度增加可能是快速 fMRI 信号的关键生理驱动因素,使我们能够使用 fMRI 检测高频振荡。我们的结论是,皮质下视觉结构表现出快速和非线性的血液动力学响应,并且这些动力学使我们即使在超高场成像时也能够在较小的深部脑结构中检测到快速的 BOLD 信号。

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