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fMRI signal more complex than assumed
In a publication in Neuron last week, Marcel Bastiaansen (MPI) and René Scheeringa (Donders Institute) show that the relation between an fMRI signal and brain activity is not as straightforward as was previously assumed.
Technical challenge
However, the fMRI signal (also called the BOLD signal - Blood Oxygenation Level Dependent signal) is not a 'direct' reflection of brain activity, Bastiaansen explains. 'Our study aims at better understanding the relationship between the BOLD signal and neural activity as recorded with EEG. EEG directly reflects brain activity, but has the disadvantage that it doesn't give precise spatial information.'
'We did this by simultaneously measuring EEG and fMRI - a technical challenge that only a few labs worldwide can handle. The results are twofold. First, we show that the BOLD signal is positively correlated with high-frequency neuronal activity (around 70 Hz, the so-called gamma rhythm). This was already demonstrated before, but only for animals. We extend this to the human case. Second, and most important, is that the BOLD signal correlates 'negatively' with low-frequency neuronal activity (around 20 Hz, the so-called beta rhythm). Moreover, we show that the positive BOLD-gamma correlations, and the negative BOLD-beta
correlations are independent of each other.'

