Expertise Effects in Face-Selective Areas are Robust to Clutter and Diverted Attention, but not to Competition.

Expertise effects for nonface objects in face-selective brain areas may reflect stable aspects of neuronal selectivity that determine how observers perceive objects. However, bottom-up (e.g., clutter from irrelevant objects) and top-down manipulations (e.g., attentional selection) can influence activity, affecting the link between category selectivity and individual performance. We test the prediction that individual differences expressed as neural expertise effects for cars in face-selective areas are sufficiently stable to survive clutter and manipulations of attention. Additionally, behavioral work and work using event related potentials suggest that expertise effects may not survive competition; we investigate this using functional magnetic resonance imaging. Subjects varying in expertise with cars made 1-back decisions about cars, faces, and objects in displays containing one or 2 objects, with only one category attended. Univariate analyses suggest car expertise effects are robust to clutter, dampened by reducing attention to cars, but nonetheless more robust to manipulations of attention than competition. While univariate expertise effects are severely abolished by competition between cars and faces, multivariate analyses reveal new information related to car expertise. These results demonstrate that signals in face-selective areas predict expertise effects for nonface objects in a variety of conditions, although individual differences may be expressed in different dependent measures depending on task and instructions.

[1]  Rankin W. McGugin,et al.  Robust expertise effects in right FFA , 2014, Neuropsychologia.

[2]  M. Coutanche.  Distinguishing multi-voxel patterns and mean activation: Why, how, and what does it tell us? , 2013, Cognitive, Affective, & Behavioral Neuroscience.

[3]  Christopher L Asplund,et al.  Amodal Processing in Human Prefrontal Cortex , 2013, The Journal of Neuroscience.

[4]  Frank Tong,et al.  Relationship between BOLD amplitude and pattern classification of orientation-selective activity in the human visual cortex , 2012, NeuroImage.

[5]  Rankin W. McGugin,et al.  High-resolution imaging of expertise reveals reliable object selectivity in the fusiform face area related to perceptual performance , 2012, Proceedings of the National Academy of Sciences.

[6]  Rankin W. McGugin,et al.  The Vanderbilt Expertise Test reveals domain-general and domain-specific sex effects in object recognition , 2012, Vision Research.

[7]  Rankin W. McGugin,et al.  High-resolution imaging of expertise reveals reliable object selectivity in the FFA related to perceptual performance , 2012 .

[8]  B. Rossion,et al.  Defining face perception areas in the human brain: A large-scale factorial fMRI face localizer analysis , 2012, Brain and Cognition.

[9]  Russell A. Poldrack,et al.  Analyses of regional-average activation and multivoxel pattern information tell complementary stories , 2012, Neuropsychologia.

[10]  Cindy M. Bukach,et al.  Does acquisition of Greeble expertise in prosopagnosia rule out a domain-general deficit? , 2012, Neuropsychologia.

[11]  Benjamin J. Tamber-Rosenau,et al.  Cortical Mechanisms of Cognitive Control for Shifting Attention in Vision and Working Memory , 2011, Journal of Cognitive Neuroscience.

[12]  W. Grodd,et al.  Many Faces of Expertise: Fusiform Face Area in Chess Experts and Novices , 2011, The Journal of Neuroscience.

[13]  Raymond J. Dolan,et al.  Fusiform Gyrus Face Selectivity Relates to Individual Differences in Facial Recognition Ability , 2011, Journal of Cognitive Neuroscience.

[14]  Robert T. Schultz,et al.  Multi-voxel pattern analysis of fMRI data predicts clinical symptom severity , 2011, NeuroImage.

[15]  Scott A. Huettel,et al.  Within- and cross-participant classifiers reveal different neural coding of information , 2011, NeuroImage.

[16]  Thad A. Polk,et al.  Age differences in neural distinctiveness revealed by multi-voxel pattern analysis , 2011, NeuroImage.

[17]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[18]  Rankin W. McGugin,et al.  Irrelevant objects of expertise compete with faces during visual search , 2011, Attention, perception & psychophysics.

[19]  Bruce D. McCandliss,et al.  Neural systems predicting long-term outcome in dyslexia , 2010, Proceedings of the National Academy of Sciences.

[20]  S. Dehaene,et al.  How Learning to Read Changes the Cortical Networks for Vision and Language , 2010, Science.

[21]  Rankin W. McGugin,et al.  Expertise increases the functional overlap between face and object perception , 2010, Cognition.

[22]  Cindy M. Bukach,et al.  Limits of generalization between categories and implications for theories of category specificity , 2010, Attention, perception & psychophysics.

[23]  R. Malach,et al.  Top-down engagement modulates the neural expressions of visual expertise. , 2010, Cerebral cortex.

[24]  Greg O. Horne,et al.  Controlling low-level image properties: The SHINE toolbox , 2010, Behavior research methods.

[25]  K. Grill-Spector,et al.  fMRI-adaptation and category selectivity in human ventral temporal cortex: regional differences across time scales. , 2010, Journal of neurophysiology.

[26]  I. Gauthier,et al.  Beyond Shape: How You Learn about Objects Affects How They Are Represented in Visual Cortex , 2009, PloS one.

[27]  Isabel Gauthier,et al.  Sensitivity to spatial frequency and orientation content is not specific to face perception , 2009, Vision Research.

[28]  C. Gross,et al.  Neural representations of faces and body parts in macaque and human cortex: a comparative FMRI study. , 2009, Journal of neurophysiology.

[29]  Stephen A. Engel,et al.  Engagement of Fusiform Cortex and Disengagement of Lateral Occipital Cortex in the Acquisition of Radiological Expertise , 2009, Cerebral cortex.

[30]  Isabel Gauthier,et al.  A visual short-term memory advantage for objects of expertise. , 2009, Journal of experimental psychology. Human perception and performance.

[31]  Leila Reddy,et al.  Category Selectivity in the Ventral Visual Pathway Confers Robustness to Clutter and Diverted Attention , 2007, Current Biology.

[32]  Bruno Rossion,et al.  Long-term Expertise with Artificial Objects Increases Visual Competition with Early Face Categorization Processes , 2007, Journal of Cognitive Neuroscience.

[33]  K. Nakayama,et al.  The Cambridge Face Memory Test: Results for neurologically intact individuals and an investigation of its validity using inverted face stimuli and prosopagnosic participants , 2006, Neuropsychologia.

[34]  N. Kanwisher,et al.  Discrimination Training Alters Object Representations in Human Extrastriate Cortex , 2006, The Journal of Neuroscience.

[35]  Rainer Goebel,et al.  Analysis of functional image analysis contest (FIAC) data with brainvoyager QX: From single‐subject to cortically aligned group general linear model analysis and self‐organizing group independent component analysis , 2006, Human brain mapping.

[36]  Rainer Goebel,et al.  Information-based functional brain mapping. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[37]  Yaoda Xu.  Revisiting the role of the fusiform face area in visual expertise. , 2005, Cerebral cortex.

[38]  Isabel Gauthier,et al.  Individual differences in FFA activity suggest independent processing at different spatial scales , 2005, Cognitive, affective & behavioral neuroscience.

[39]  Isabel Gauthier,et al.  Behavioral Change and Its Neural Correlates in Visual Agnosia After Expertise Training , 2005, Journal of Cognitive Neuroscience.

[40]  M. Tarr,et al.  Visual expertise with nonface objects leads to competition with the early perceptual processing of faces in the human occipitotemporal cortex. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[41]  N. Kanwisher,et al.  The fusiform face area subserves face perception, not generic within-category identification , 2004, Nature Neuroscience.

[42]  I. Gauthier,et al.  Perceptual interference supports a non-modular account of face processing , 2003, Nature Neuroscience.

[43]  M. Tarr,et al.  Unraveling mechanisms for expert object recognition: bridging brain activity and behavior. , 2002, Journal of experimental psychology. Human perception and performance.

[44]  I. Gauthier,et al.  Expertise for cars and birds recruits brain areas involved in face recognition , 2000, Nature Neuroscience.

[45]  M. Tarr,et al.  Activation of the middle fusiform 'face area' increases with expertise in recognizing novel objects , 1999, Nature Neuroscience.

[46]  N. Kanwisher,et al.  Covert visual attention modulates face-specific activity in the human fusiform gyrus: fMRI study. , 1998, Journal of neurophysiology.

[47]  Jonathan D. Cohen,et al.  Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold , 1995, Magnetic resonance in medicine.

[48]  R. Rosenthal,et al.  Statistical Procedures and the Justification of Knowledge in Psychological Science , 1989 .

[49]  S. Carey,et al.  Why faces are and are not special: an effect of expertise. , 1986, Journal of experimental psychology. General.

[50]  M. Nefzger,et al.  The needless assumption of normality in Pearson's r. , 1957 .

[51]  Rainer Goebel,et al.  15 Fundamentals of Data Analysis Methods in Functional MRI , 2005 .

[52]  E. Wojciulik,et al.  Attention increases neural selectivity in the human lateral occipital complex , 2004, Nature Neuroscience.

[53]  J. Haxby,et al.  Distinct representations of eye gaze and identity in the distributed human neural system for face perception , 2000, Nature Neuroscience.

[54]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.