Literature DB >> 17618161

Decoding human brain activity during real-world experiences.

Hugo J Spiers1, Eleanor A Maguire.   

Abstract

The human brain evolved to function and survive in a highly stimulating, complex and fast-changing world. Attempting to ascertain the neural substrates of operating in naturalistic contexts represents a huge challenge. Recently, however, researchers have begun to use several innovative analysis methods to interrogate functional magnetic resonance imaging (fMRI) data collected during dynamic naturalistic tasks. Central to these new developments is the inventive approach taken to segregating neural activity linked to specific events within the overall continuous stream of complex stimulation. In this review, we discuss the recent literature, detailing the key studies and their methods. These analytical techniques can be applied in a wide range of cognitive domains and, thus, offer exciting new opportunities for gaining insights into the brain bases of thoughts and behaviours in the real-world setting where they normally occur.

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Mesh:

Year:  2007        PMID: 17618161     DOI: 10.1016/j.tics.2007.06.002

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  49 in total

1.  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

2.  Real world navigation independence in the early blind correlates with differential brain activity associated with virtual navigation.

Authors:  Mark A Halko; Erin C Connors; Jaime Sánchez; Lotfi B Merabet
Journal:  Hum Brain Mapp       Date:  2013-09-12       Impact factor: 5.038

3.  Attention-like modulation of hippocampus place cell discharge.

Authors:  André A Fenton; William W Lytton; Jeremy M Barry; Pierre-Pascal Lenck-Santini; Larissa E Zinyuk; Stepan Kubík; Jan Bures; Bruno Poucet; Robert U Muller; Andrey V Olypher
Journal:  J Neurosci       Date:  2010-03-31       Impact factor: 6.167

4.  Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing.

Authors:  Wei-Tang Chang; Iiro P Jääskeläinen; John W Belliveau; Samantha Huang; An-Yi Hung; Stephanie Rossi; Jyrki Ahveninen
Journal:  Neuroimage       Date:  2015-04-02       Impact factor: 6.556

5.  Test-retest reliability of functional connectivity networks during naturalistic fMRI paradigms.

Authors:  Jiahui Wang; Yudan Ren; Xintao Hu; Vinh Thai Nguyen; Lei Guo; Junwei Han; Christine Cong Guo
Journal:  Hum Brain Mapp       Date:  2017-01-17       Impact factor: 5.038

6.  Does intrinsic reward motivate cognitive control? a naturalistic-fMRI study based on the synchronization theory of flow.

Authors:  Richard Huskey; Britney Craighead; Michael B Miller; René Weber
Journal:  Cogn Affect Behav Neurosci       Date:  2018-10       Impact factor: 3.282

Review 7.  Future trends in Neuroimaging: Neural processes as expressed within real-life contexts.

Authors:  Uri Hasson; Christopher J Honey
Journal:  Neuroimage       Date:  2012-02-13       Impact factor: 6.556

8.  The cognitive paradigm ontology: design and application.

Authors:  Jessica A Turner; Angela R Laird
Journal:  Neuroinformatics       Date:  2012-01

9.  Reliability of cortical activity during natural stimulation.

Authors:  Uri Hasson; Rafael Malach; David J Heeger
Journal:  Trends Cogn Sci       Date:  2009-12-11       Impact factor: 20.229

10.  Neurocognitive systems related to real-world prospective memory.

Authors:  Grégoria Kalpouzos; Johan Eriksson; Daniel Sjölie; Jonas Molin; Lars Nyberg
Journal:  PLoS One       Date:  2010-10-08       Impact factor: 3.240

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