Linear systems analysis of functional magnetic resonance imaging in human V1
Linear systems analysis of functional magnetic resonance imaging in human V1
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DOI：
10.1523/jneurosci.16-13-04207.1996
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发表时间：
1996-07-01
影响因子：
5.3
通讯作者：
Heeger, DJ
中科院分区：
文献类型：
--
作者：
Boynton, GM;Engel, SA;Heeger, DJ
功能性磁共振成像（fMRI）的线性变换模型假设fMRI反应与局部平均神经活动在一段时间内的平均值成正比。第一，人初级视皮层（V1）的fMRI响应分别依赖于刺激时间和刺激对比度;第二，对长时程刺激的响应可以由对短时程刺激的响应来预测;第三，fMRI数据中的噪声与刺激对比度和时间周期无关，虽然这些检验不能证明线性变换模型的正确性，他们可能被用来拒绝模型。由于线性变换模型与我们的数据是一致的，我们继续估计的时间fMRI脉冲响应函数和潜在的（大概是神经）对比度响应函数的人类V1。
The linear transform model of functional magnetic resonance imaging (fMRI) hypothesizes that fMRI responses are proportional to local average neural activity averaged over a period of time, This work reports results from three empirical tests that support this hypothesis. First, fMRI responses in human primary visual cortex (V1) depend separably on stimulus timing and stimulus contrast, Second, responses to long-duration stimuli can be predicted from responses to shorter duration stimuli, Third, the noise in the fMRI data is independent of stimulus contrast and temporal period, Although these tests can not prove the correctness of the linear transform model, they might have been used to reject the model. Because the linear transform model is consistent with our data, we proceeded to estimate the temporal fMRI impulse-response function and the underlying (presumably neural) contrast-response function of human V1.