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Poster

Properties of face localizers and their application in fMRI fingerprinting

MPS-Authors
/persons/resource/persons84898

Erb,  M
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84187

Scheffler,  K
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Ethofer, T., Kreifelts, B., Wildgruber, D., Erb, M., Scheffler, K., & Schwarz, L. (2018). Properties of face localizers and their application in fMRI fingerprinting. Poster presented at Alpine Brain Imaging Meeting (ABIM 2018), Champéry, Switzerland.


Cite as: https://hdl.handle.net/21.11116/0000-0001-7E0A-8
Abstract
Functional localizers are particularly prevalent in functional magnetic resonance imaging (fMRI) studies concerning face processing. In this study, we extend the
knowledge on face localizers regarding four important aspects: First, activation differences in occipital and fusiform face areas (OFA/FFA) and amygdala are
characterized by increased activation while precuneus and medial prefrontal cortex show decreased deactivation to faces versus control stimuli. The face-selective posterior superior temporal sulcus is a hybrid area exhibiting increased activation within its inferior and decreased deactivation within its superior part.
Second, the employed control stimuli can impact on whether a region is classified as face-selective or not. We specifically investigated this for recently described subregions of the FFA (FFA-1/FFA-2). While FFA-2 responded
stronger to faces than to objects, houses, or landscapes, FFA-1 was only detected with landscapes as control condition. Third, reproducibility of individual peak
activations is excellent for right FFA and quite good for right OFA, whereas within all other areas it was too low to provide valid information on time-invariant individual peaks. Finally, the fine-grained spatial activation
patterns in right OFA and FFA are both time-invariant within each individual and sufficiently different between individuals to enable identification of individual participants with near-perfect precision (fMRI fingerprinting).