Literature DB >> 16791142

Decoding mental states from brain activity in humans.

John-Dylan Haynes1, Geraint Rees.   

Abstract

Recent advances in human neuroimaging have shown that it is possible to accurately decode a person's conscious experience based only on non-invasive measurements of their brain activity. Such 'brain reading' has mostly been studied in the domain of visual perception, where it helps reveal the way in which individual experiences are encoded in the human brain. The same approach can also be extended to other types of mental state, such as covert attitudes and lie detection. Such applications raise important ethical issues concerning the privacy of personal thought.

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Year:  2006        PMID: 16791142     DOI: 10.1038/nrn1931

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  503 in total

1.  Is race erased? Decoding race from patterns of neural activity when skin color is not diagnostic of group boundaries.

Authors:  Kyle G Ratner; Christian Kaul; Jay J Van Bavel
Journal:  Soc Cogn Affect Neurosci       Date:  2012-06-01       Impact factor: 3.436

2.  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

3.  Detecting individual memories through the neural decoding of memory states and past experience.

Authors:  Jesse Rissman; Henry T Greely; Anthony D Wagner
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-10       Impact factor: 11.205

4.  Attention improves encoding of task-relevant features in the human visual cortex.

Authors:  Janneke F M Jehee; Devin K Brady; Frank Tong
Journal:  J Neurosci       Date:  2011-06-01       Impact factor: 6.167

5.  Neural responses to unattended products predict later consumer choices.

Authors:  Anita Tusche; Stefan Bode; John-Dylan Haynes
Journal:  J Neurosci       Date:  2010-06-09       Impact factor: 6.167

6.  Multi-voxel pattern analysis of fMRI data predicts clinical symptom severity.

Authors:  Marc N Coutanche; Sharon L Thompson-Schill; Robert T Schultz
Journal:  Neuroimage       Date:  2011-04-13       Impact factor: 6.556

7.  Neuroscience may supersede ethics and law.

Authors:  Thomas R Scott
Journal:  Sci Eng Ethics       Date:  2012-03-01       Impact factor: 3.525

8.  A multivariate distance-based analytic framework for connectome-wide association studies.

Authors:  Zarrar Shehzad; Clare Kelly; Philip T Reiss; R Cameron Craddock; John W Emerson; Katie McMahon; David A Copland; F Xavier Castellanos; Michael P Milham
Journal:  Neuroimage       Date:  2014-02-28       Impact factor: 6.556

9.  Combining fMRI with EEG and MEG in order to relate patterns of brain activity to cognition.

Authors:  Walter J Freeman; Seppo P Ahlfors; Vinod Menon
Journal:  Int J Psychophysiol       Date:  2009-02-20       Impact factor: 2.997

Review 10.  Machine learning classifiers and fMRI: a tutorial overview.

Authors:  Francisco Pereira; Tom Mitchell; Matthew Botvinick
Journal:  Neuroimage       Date:  2008-11-21       Impact factor: 6.556

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