Literature DB >> 20881487

Decoding the neural correlates of consciousness.

Rimona S Weil1, Geraint Rees.   

Abstract

PURPOSE OF REVIEW: Multivariate pattern analysis (MVPA) is an emerging technique for analysing functional imaging data that is capable of a much closer approximation of neuronal activity than conventional methods. This review will outline the advantages, applications and limitations of MVPA in understanding the neural correlates of consciousness. RECENT
FINDINGS: MVPA has provided important insights into the processing of perceptual information by revealing content-specific information at early stages of perceptual processing. It has also shed light on the processing of memories and decisions. In combination with techniques to reconstruct viewed images, MVPA can also be used to reveal the contents of consciousness.
SUMMARY: The development of multivariate pattern analysis techniques allows content-specific and detailed information to be extracted from functional MRI data. This may lead to new therapeutic applications but also raises important ethical considerations.

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Mesh:

Year:  2010        PMID: 20881487     DOI: 10.1097/WCO.0b013e32834028c7

Source DB:  PubMed          Journal:  Curr Opin Neurol        ISSN: 1350-7540            Impact factor:   5.710


  15 in total

Review 1.  Computational advances towards linking BOLD and behavior.

Authors:  John T Serences; Sameer Saproo
Journal:  Neuropsychologia       Date:  2011-07-23       Impact factor: 3.139

2.  Feature-independent neural coding of target detection during search of natural scenes.

Authors:  Fei Guo; Tim J Preston; Koel Das; Barry Giesbrecht; Miguel P Eckstein
Journal:  J Neurosci       Date:  2012-07-11       Impact factor: 6.167

3.  A Bayesian probit model with spatially varying coefficients for brain decoding using fMRI data.

Authors:  Fengqing Zhang; Wenxin Jiang; Patrick Wong; Ji-Ping Wang
Journal:  Stat Med       Date:  2016-05-24       Impact factor: 2.373

4.  Neural representations of contextual guidance in visual search of real-world scenes.

Authors:  Tim J Preston; Fei Guo; Koel Das; Barry Giesbrecht; Miguel P Eckstein
Journal:  J Neurosci       Date:  2013-05-01       Impact factor: 6.167

Review 5.  Decoding information in the human hippocampus: a user's guide.

Authors:  Martin J Chadwick; Heidi M Bonnici; Eleanor A Maguire
Journal:  Neuropsychologia       Date:  2012-07-20       Impact factor: 3.139

6.  Decoding semantics across fMRI sessions with different stimulus modalities: a practical MVPA study.

Authors:  Hiroyuki Akama; Brian Murphy; Li Na; Yumiko Shimizu; Massimo Poesio
Journal:  Front Neuroinform       Date:  2012-08-24       Impact factor: 4.081

7.  Introspective minds: using ALE meta-analyses to study commonalities in the neural correlates of emotional processing, social & unconstrained cognition.

Authors:  Leonhard Schilbach; Danilo Bzdok; Bert Timmermans; Peter T Fox; Angela R Laird; Kai Vogeley; Simon B Eickhoff
Journal:  PLoS One       Date:  2012-02-03       Impact factor: 3.240

8.  Using Graph Components Derived from an Associative Concept Dictionary to Predict fMRI Neural Activation Patterns that Represent the Meaning of Nouns.

Authors:  Hiroyuki Akama; Maki Miyake; Jaeyoung Jung; Brian Murphy
Journal:  PLoS One       Date:  2015-04-30       Impact factor: 3.240

9.  What makes a pattern? Matching decoding methods to data in multivariate pattern analysis.

Authors:  Philip A Kragel; R McKell Carter; Scott A Huettel
Journal:  Front Neurosci       Date:  2012-11-23       Impact factor: 4.677

10.  Consciousness and the invention of Morel.

Authors:  Lampros Perogamvros
Journal:  Front Hum Neurosci       Date:  2013-03-05       Impact factor: 3.169

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