Cognitive neuroscience relies on two sets of techniques to map the neural networks underlying cognition in humans: recordings of either regional metabolic changes (fMRI or PET) or fluctuations in the neural electromagnetic fields (EEG and MEG). Despite major advances in the last few years, an explicit linkage between the two is still missing and the neuroimaging community faces two complementary but unrelated sets of functional descriptions of the human brain. Such an explicit framework, linking the two approaches in potentially complex cognitive tasks and in a variety of brain regions would permit to combine them into fine spatio-temporally-grained human brain mapping procedures. We combined fMRI and intra-cranial EEG recordings of the same epileptic patients during a semantic decision task and found a close spatial correspondence between regions of fMRI activations and recording sites showing EEG energy modulations in the gamma range (>40 Hz). Our findings further support previous findings that gamma band modulations co-localize with BOLD variations and also indicate that fMRI may be used as a constraint to improve source reconstruction of gamma band EEG responses.

译文

:认知神经科学依靠两种技术来绘制人类认知基础的神经网络图:区域代谢变化(fMRI或PET)或神经电磁场波动(EEG和MEG)的记录。尽管最近几年取得了重大进展,但两者之间仍然没有明确的联系,并且神经影像社区面临着人类大脑的两个互补但不相关的功能描述集。这样一个明确的框架将两种方法联系起来,可以将潜在的复杂认知任务和各种大脑区域联系起来,从而可以将它们组合成精细的时空粒度人类大脑映射程序。我们在语义决策任务中将同一名癫痫患者的fMRI和颅内EEG记录结合在一起,发现fMRI激活区域与显示在γ范围(> 40 Hz)中的EEG能量调制的记录部位之间的空间紧密联系。我们的发现进一步支持了以前的发现,即伽玛谱带调制与BOLD变化共定位,并且还表明功能磁共振成像可以用作改善伽玛谱带脑电图反应源重建的约束条件。

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