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Updated: Sep 28, 2025

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
Published on: October 30, 2018
Face-selective multi-unit activity in the proximity of the FFA modulated by facial expression stimuli
Vadim Axelrod1, Camille Rozier2, Tal Seidel Malkinson2
1The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan, 52900, Israel.
Abstract:
When we see someone's face, our brain usually effortlessly extracts a variety of information such as facial identity, expression, or gaze direction. While it is widely accepted that dedicated subsystems are responsible for different aspects of face processing, how these subsystems work together is not yet fully understood. To this extent, one of the most explored questions is whether and if so, to what extent facial expression processing interacts with other stages of facial processing. In the present study, we report a rare case of a patient for whom we were able to record multi-unit activity (MUA) in the proximity of the fusiform face area (FFA) while two out of four recorded multi-units were face-selective. In our experiment, the human subject was shown images of neutral and fearful faces as well as everyday objects and frightening images of natural disaster. We found that activity of both face-selective units was modulated by facial expression stimuli, starting at about 150 ms from stimulus onset. For both facial conditions we observed abrupt increase in firing rate with a simultaneous peak, suggesting that this activity and the modulation by facial expression stimuli likely reflected feed-forward processing. Interestingly, while in one multi-unit, the firing rate for fearful faces was higher than for neutral faces, in the other multi-units the polarity was reversed. Finally, modulation in the face-selective units was specific to emotional facial stimuli, but not to emotional stimuli in general. The present multi-unit results, albeit obtained only for several multi-units, nevertheless are potentially valuable for understanding mechanisms of facial processing in humans.
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