The fusiform face area: in quest of holistic face processing.

نویسنده

  • Vadim Axelrod
چکیده

Editor's Note: These short, critical reviews of recent papers in the Journal, written exclusively by graduate students or postdoctoral fellows, are intended to summarize the important findings of the paper and provide additional insight and commentary. For more information on the format and purpose of the Journal Club, please see Review of Andrews et al. What role do external facial features (hair, moustaches, beards, etc.) play in face rec-ognition? Many of us have experienced the difficulty of recognizing a friend or a colleague who had changed her hairstyle or had shaved his beard. Such a change seems like not just a change in the facial hair, but rather the whole face looks different. This phenomenon of face processing is called holistic processing, meaning that we perceive the face as a whole and not as a set of separate, independently processed features. Holistic processing is generally accepted to be unique to faces and provides strong support for the notion that faces are processed differently relative to all other object categories (Farah et al., 1998). While there are a large number of fMRI studies exploring the neural mechanisms of face processing, few of them have focused directly on ho-listic processing mechanisms (e.g., Schiltz and Rossion, 2006). Therefore, the study of Andrews et al. (2010), who investigated holistic processing by manipulating external and internal (eyes, nose, and mouth) facial features, provides a valuable contribution to our understanding of the neural basis of holistic face processing. Andrews et al. (2010) conducted three fMRI experiments to examine how external and internal features are represented in face-selective occipitotemporal brain areas. They used a block-design fMR-adaptation paradigm (Grill-Spector and Malach, 2001). This method is based on the finding that repeated presentation of the same stimulus results in reduced fMRI response. In the fMR-adaptation paradigm used by Andrews et al. (2010), each condition is represented by two types of blocks: completely identical pictures (same) and pictures that differ in a single given dimension (different). Stronger neural response to the different relative to the same blocks (release from fMR-adaptation) suggests that the region of interest is involved to some extent in processing the manipulated dimension. Conversely , equal neural response to different and same blocks (fMR-adaptation) suggests that the region of interest is not sensitive to the dimension manipulated in the different block. One should be aware, however, of the possible pitfalls in the interpretation of fMR-adaptation results (Bartels …

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Local Discriminability Determines the Strength of Holistic Processing for Faces in the Fusiform Face Area

Recent evidence suggests that the Fusiform Face Area (FFA) is not exclusively dedicated to the interactive processing of face features, but also contains neurons sensitive to local features. This suggests the existence of both interactive and local processing modes, consistent with recent behavioral findings that the strength of interactive feature processing (IFP) engages most strongly when si...

متن کامل

Neural tuning for face wholes and parts in human fusiform gyrus revealed by FMRI adaptation.

Although the right fusiform face area (FFA) is often linked to holistic processing, new data suggest this region also encodes part-based face representations. We examined this question by assessing the metric of neural similarity for faces using a continuous carryover functional MRI (fMRI) design. Using faces varying along dimensions of eye and mouth identity, we tested whether these axes are c...

متن کامل

The Faces in Radiological Images: Fusiform Face Area Supports Radiological Expertise.

The fusiform face area (FFA) has often been used as an example of a brain module that was developed through evolution to serve a specific purpose-face processing. Many believe, however, that FFA is responsible for holistic processing associated with any kind of expertise. The expertise view has been tested with various stimuli, with mixed results. One of the main stumbling blocks in the FFA con...

متن کامل

Neural Tuning for Face Wholes and Parts in Human Fusiform Gyrus Revealed

29 Although the right fusiform face area (FFA) is often linked to holistic processing, new data 30 suggest this region also encodes part-based face representations. We examined this question by 31 assessing the metric of neural similarity for faces using a continuous-carry over fMRI design. 32 Using faces varying along dimensions of eye and mouth identity, we tested whether these axes 33 are co...

متن کامل

Can generic expertise explain special processing for faces?

Does face recognition involve face-specific cognitive and neural processes ('domain specificity') or do faces only seem special because people have had more experience of individuating them than they have of individuating members of other homogeneous object categories ('the expertise hypothesis')? Here, we summarize new data that test these hypotheses by assessing whether classic face-selective...

متن کامل

The Fusiform Face Area Is Engaged in Holistic, Not Parts-Based, Representation of Faces

Numerous studies with functional magnetic resonance imaging have shown that the fusiform face area (FFA) in the human brain plays a key role in face perception. Recent studies have found that both the featural information of faces (e.g., eyes, nose, and mouth) and the configural information of faces (i.e., spatial relation among features) are encoded in the FFA. However, little is known about w...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • The Journal of neuroscience : the official journal of the Society for Neuroscience

دوره 30 26  شماره 

صفحات  -

تاریخ انتشار 2010