Literature DB >> 20133358

Top-down engagement modulates the neural expressions of visual expertise.

Assaf Harel1, Sharon Gilaie-Dotan, Rafael Malach, Shlomo Bentin.   

Abstract

Perceptual expertise is traditionally associated with enhanced brain activity in response to objects of expertise in category-selective visual cortex, primarily face-selective regions. We reevaluated this view by investigating whether the brain activity associated with expertise in object recognition is limited to category-selective cortex and specifically whether the extent of expertise-related activity manifests automatically or whether it can be top-down modulated. We conducted 2 functional magnetic resonance imaging studies comparing changes in hemodynamic activity associated with car expertise in a conventional 1-back task (Experiment 1) and when the task relevance of cars was explicitly manipulated (Experiment 2). Whole-brain analysis unveiled extensive expertise-related activity throughout the visual cortex, starting as early as V1 and extending into nonvisual areas. However, when the cars were task irrelevant, the expertise-related activity drastically diminished, indeed, becoming similar to the activity elicited by cars in novices. We suggest that expertise entails voluntary top-down engagement of multiple neural networks in addition to stimulus-driven activation associated with perceptual mechanisms.

Mesh:

Substances:

Year:  2010        PMID: 20133358      PMCID: PMC2936802          DOI: 10.1093/cercor/bhp316

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  52 in total

1.  A multimodal cortical network for the detection of changes in the sensory environment.

Authors:  J Downar; A P Crawley; D J Mikulis; K D Davis
Journal:  Nat Neurosci       Date:  2000-03       Impact factor: 24.884

2.  Expertise for cars and birds recruits brain areas involved in face recognition.

Authors:  I Gauthier; P Skudlarski; J C Gore; A W Anderson
Journal:  Nat Neurosci       Date:  2000-02       Impact factor: 24.884

3.  Visual categorization shapes feature selectivity in the primate temporal cortex.

Authors:  Natasha Sigala; Nikos K Logothetis
Journal:  Nature       Date:  2002-01-17       Impact factor: 49.962

4.  How distributed is visual category information in human occipito-temporal cortex? An fMRI study.

Authors:  Mona Spiridon; Nancy Kanwisher
Journal:  Neuron       Date:  2002-09-12       Impact factor: 17.173

Review 5.  Can generic expertise explain special processing for faces?

Authors:  Elinor McKone; Nancy Kanwisher; Bradley C Duchaine
Journal:  Trends Cogn Sci       Date:  2006-11-28       Impact factor: 20.229

6.  Neural mechanisms of expert skills in visual working memory.

Authors:  Christopher D Moore; Michael X Cohen; Charan Ranganath
Journal:  J Neurosci       Date:  2006-10-25       Impact factor: 6.167

7.  Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex.

Authors:  R Malach; J B Reppas; R R Benson; K K Kwong; H Jiang; W A Kennedy; P J Ledden; T J Brady; B R Rosen; R B Tootell
Journal:  Proc Natl Acad Sci U S A       Date:  1995-08-29       Impact factor: 11.205

8.  A neural basis for expert object recognition.

Authors:  J W Tanaka; T Curran
Journal:  Psychol Sci       Date:  2001-01

9.  Distributed and overlapping representations of faces and objects in ventral temporal cortex.

Authors:  J V Haxby; M I Gobbini; M L Furey; A Ishai; J L Schouten; P Pietrini
Journal:  Science       Date:  2001-09-28       Impact factor: 47.728

10.  Stimulus type, level of categorization, and spatial-frequencies utilization: implications for perceptual categorization hierarchies.

Authors:  Assaf Harel; Shlomo Bentin
Journal:  J Exp Psychol Hum Percept Perform       Date:  2009-08       Impact factor: 3.332

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  32 in total

Review 1.  Visual prediction and perceptual expertise.

Authors:  Olivia S Cheung; Moshe Bar
Journal:  Int J Psychophysiol       Date:  2011-11-27       Impact factor: 2.997

2.  Cognitive Expertise: An ALE Meta-Analysis.

Authors:  Nicola Neumann; Martin Lotze; Simon B Eickhoff
Journal:  Hum Brain Mapp       Date:  2015-10-14       Impact factor: 5.038

3.  The Quest for the FFA and Where It Led.

Authors:  Nancy Kanwisher
Journal:  J Neurosci       Date:  2017-02-01       Impact factor: 6.167

4.  A strong role for nature in face recognition.

Authors:  Elinor McKone; Romina Palermo
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-08       Impact factor: 11.205

5.  High-resolution imaging of expertise reveals reliable object selectivity in the fusiform face area related to perceptual performance.

Authors:  Rankin Williams McGugin; J Christopher Gatenby; John C Gore; Isabel Gauthier
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-01       Impact factor: 11.205

6.  The Vanderbilt Expertise Test reveals domain-general and domain-specific sex effects in object recognition.

Authors:  Rankin W McGugin; Jennifer J Richler; Grit Herzmann; Magen Speegle; Isabel Gauthier
Journal:  Vision Res       Date:  2012-08-02       Impact factor: 1.886

7.  Experience moderates overlap between object and face recognition, suggesting a common ability.

Authors:  Isabel Gauthier; Rankin W McGugin; Jennifer J Richler; Grit Herzmann; Magen Speegle; Ana E Van Gulick
Journal:  J Vis       Date:  2014-07-03       Impact factor: 2.240

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

Authors:  Rankin Williams McGugin; Ana E Van Gulick; Benjamin J Tamber-Rosenau; David A Ross; Isabel Gauthier
Journal:  Cereb Cortex       Date:  2014-03-28       Impact factor: 5.357

9.  The overlap of neural selectivity between faces and words: evidences from the N170 adaptation effect.

Authors:  Xiaohua Cao; Bei Jiang; Carl Gaspar; Chao Li
Journal:  Exp Brain Res       Date:  2014-05-23       Impact factor: 1.972

10.  Cortical Thickness in Fusiform Face Area Predicts Face and Object Recognition Performance.

Authors:  Rankin W McGugin; Ana E Van Gulick; Isabel Gauthier
Journal:  J Cogn Neurosci       Date:  2015-10-06       Impact factor: 3.225

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