Literature DB >> 17486103

Only some spatial patterns of fMRI response are read out in task performance.

Mark A Williams1, Sabin Dang, Nancy G Kanwisher.   

Abstract

Classification methods show that the spatial pattern of a functional magnetic resonance imaging response across the cortex contains category information, but whether such patterns are used, or 'read out', in behavioral performance remains untested. We show that although the spatial pattern in both the retinotopic and lateral occipital cortex (LOC) in humans contains category information, only in the LOC is the pattern stronger for correct than for incorrect trials. Thus, some, but not all, spatial patterns are read out during task performance.

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Year:  2007        PMID: 17486103      PMCID: PMC2744445          DOI: 10.1038/nn1900

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  15 in total

1.  Cortical mechanisms specific to explicit visual object recognition.

Authors:  M Bar; R B Tootell; D L Schacter; D N Greve; B Fischl; J D Mendola; B R Rosen; A M Dale
Journal:  Neuron       Date:  2001-02       Impact factor: 17.173

2.  Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex.

Authors:  David D Cox; Robert L Savoy
Journal:  Neuroimage       Date:  2003-06       Impact factor: 6.556

Review 3.  What electrical microstimulation has revealed about the neural basis of cognition.

Authors:  Marlene R Cohen; William T Newsome
Journal:  Curr Opin Neurobiol       Date:  2004-04       Impact factor: 6.627

4.  The fusiform face area subserves face perception, not generic within-category identification.

Authors:  Kalanit Grill-Spector; Nicholas Knouf; Nancy Kanwisher
Journal:  Nat Neurosci       Date:  2004-04-11       Impact factor: 24.884

Review 5.  Neurodisruption of selective attention: insights and implications.

Authors:  Christopher D Chambers; Jason B Mattingley
Journal:  Trends Cogn Sci       Date:  2005-10-07       Impact factor: 20.229

6.  Discrimination training alters object representations in human extrastriate cortex.

Authors:  Hans P Op de Beeck; Chris I Baker; James J DiCarlo; Nancy G Kanwisher
Journal:  J Neurosci       Date:  2006-12-13       Impact factor: 6.167

7.  The dynamics of object-selective activation correlate with recognition performance in humans.

Authors:  K Grill-Spector; T Kushnir; T Hendler; R Malach
Journal:  Nat Neurosci       Date:  2000-08       Impact factor: 24.884

8.  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

9.  Predicting the orientation of invisible stimuli from activity in human primary visual cortex.

Authors:  John-Dylan Haynes; Geraint Rees
Journal:  Nat Neurosci       Date:  2005-04-24       Impact factor: 24.884

10.  Decoding the visual and subjective contents of the human brain.

Authors:  Yukiyasu Kamitani; Frank Tong
Journal:  Nat Neurosci       Date:  2005-04-24       Impact factor: 24.884

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  75 in total

1.  Age differences in neural distinctiveness revealed by multi-voxel pattern analysis.

Authors:  Joshua Carp; Joonkoo Park; Thad A Polk; Denise C Park
Journal:  Neuroimage       Date:  2010-05-06       Impact factor: 6.556

2.  Higher level visual cortex represents retinotopic, not spatiotopic, object location.

Authors:  Julie D Golomb; Nancy Kanwisher
Journal:  Cereb Cortex       Date:  2011-12-20       Impact factor: 5.357

3.  Probing principles of large-scale object representation: category preference and location encoding.

Authors:  Radoslaw Martin Cichy; Philipp Sterzer; Jakob Heinzle; Lloyd T Elliott; Fernando Ramirez; John-Dylan Haynes
Journal:  Hum Brain Mapp       Date:  2012-02-27       Impact factor: 5.038

4.  High-level visual object representations are constrained by position.

Authors:  Dwight J Kravitz; Nikolaus Kriegeskorte; Chris I Baker
Journal:  Cereb Cortex       Date:  2010-03-29       Impact factor: 5.357

5.  Within- and cross-participant classifiers reveal different neural coding of information.

Authors:  John A Clithero; David V Smith; R McKell Carter; Scott A Huettel
Journal:  Neuroimage       Date:  2010-03-27       Impact factor: 6.556

6.  Neural responses to visual scenes reveals inconsistencies between fMRI adaptation and multivoxel pattern analysis.

Authors:  Russell A Epstein; Lindsay K Morgan
Journal:  Neuropsychologia       Date:  2011-10-05       Impact factor: 3.139

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

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

8.  Flexible coding for categorical decisions in the human brain.

Authors:  Sheng Li; Dirk Ostwald; Martin Giese; Zoe Kourtzi
Journal:  J Neurosci       Date:  2007-11-07       Impact factor: 6.167

9.  Category selectivity in the ventral visual pathway confers robustness to clutter and diverted attention.

Authors:  Leila Reddy; Nancy Kanwisher
Journal:  Curr Biol       Date:  2007-11-08       Impact factor: 10.834

10.  Spatially aggregated multiclass pattern classification in functional MRI using optimally selected functional brain areas.

Authors:  Weili Zheng; Elena S Ackley; Manel Martínez-Ramón; Stefan Posse
Journal:  Magn Reson Imaging       Date:  2012-08-16       Impact factor: 2.546

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