Literature DB >> 17336096

Specific, selective or preferential: comments on category specificity in neuroimaging.

Cyril Pernet1, Philippe G Schyns, Jean-Francois Demonet.   

Abstract

An important goal of functional neuroimaging has been to localize stimulus-specific processes in the brain. Numerous studies have revealed particular patterns of brain activity in different cortical areas in response to different object categories such as faces, body parts, places, words, letters and so forth. However, quite different patterns of activation have been given a similar interpretation in terms of category or domain specificity. Other characteristics than the response to the target category have sometimes been used to address whether a cortical brain area is functionally specialized for a given stimulus category, such as automatic processing [e.g. Joseph, J., Cerullo, M., Farley, A., Steinmetz, N., Mier, C., 2006. fMRI correlates of cortical specialization and generalization for letter processing. NeuroImage 32, 806-820] or assemblage [Haxby, J.V., Gobbini, M.I., Furey, M.L., Ishai, A., Schouten, J.L., Pietrini, P., 2001. Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science 293, 2425-2430]. Here we frame the debate around the notions of category specificity as defined by Fodor [Fodor, J., 1983. The modularity of Mind. MIT Press, Cambridge, MA., Fodor, J., 2001. The mind doesn't work that way: the scope and limits of computational psychology "A Bradford book" MIT Press, Cambridge, MA] and argue that brain activation patterns consistent with category specificity remain to be demonstrated. We review possible alternatives and lay out the experimental conditions required for a conclusive demonstration of category-specific specialization in brain imaging studies.

Mesh:

Year:  2007        PMID: 17336096     DOI: 10.1016/j.neuroimage.2007.01.017

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  16 in total

Review 1.  Modern modularity and the road towards a modular psychiatry.

Authors:  Jürgen Zielasek; Wolfgang Gaebel
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2008-11       Impact factor: 5.270

2.  Piecing it together: infants' neural responses to face and object structure.

Authors:  Faraz Farzin; Chuan Hou; Anthony M Norcia
Journal:  J Vis       Date:  2012-12-06       Impact factor: 2.240

3.  Inversion effects in face-selective cortex with combinations of face parts.

Authors:  Thomas W James; Lindsay R Arcurio; Jason M Gold
Journal:  J Cogn Neurosci       Date:  2012-10-15       Impact factor: 3.225

4.  Different categories of living and non-living sound-sources activate distinct cortical networks.

Authors:  Lauren R Engel; Chris Frum; Aina Puce; Nathan A Walker; James W Lewis
Journal:  Neuroimage       Date:  2009-05-22       Impact factor: 6.556

5.  Quantifying the Time Course of Visual Object Processing Using ERPs: It's Time to Up the Game.

Authors:  Guillaume A Rousselet; Cyril R Pernet
Journal:  Front Psychol       Date:  2011-05-23

6.  Modeling Single-Trial ERP Reveals Modulation of Bottom-Up Face Visual Processing by Top-Down Task Constraints (in Some Subjects).

Authors:  Guillaume A Rousselet; Carl M Gaspar; Kacper P Wieczorek; Cyril R Pernet
Journal:  Front Psychol       Date:  2011-06-23

7.  Visual Object Categorization in the Brain: What Can We Really Learn from ERP Peaks?

Authors:  Guillaume A Rousselet; Cyril R Pernet; Roberto Caldara; Philippe G Schyns
Journal:  Front Hum Neurosci       Date:  2011-12-01       Impact factor: 3.169

8.  Electrophysiological evidence for an early processing of human voices.

Authors:  Ian Charest; Cyril R Pernet; Guillaume A Rousselet; Ileana Quiñones; Marianne Latinus; Sarah Fillion-Bilodeau; Jean-Pierre Chartrand; Pascal Belin
Journal:  BMC Neurosci       Date:  2009-10-20       Impact factor: 3.288

9.  Testing for the dual-route cascade reading model in the brain: an fMRI effective connectivity account of an efficient reading style.

Authors:  Jonathan Levy; Cyril Pernet; Sébastien Treserras; Kader Boulanouar; Florent Aubry; Jean-François Démonet; Pierre Celsis
Journal:  PLoS One       Date:  2009-08-18       Impact factor: 3.240

10.  Parametric study of EEG sensitivity to phase noise during face processing.

Authors:  Guillaume A Rousselet; Cyril R Pernet; Patrick J Bennett; Allison B Sekuler
Journal:  BMC Neurosci       Date:  2008-10-03       Impact factor: 3.288

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