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Magnetoencephalographic activity related to conscious perception is stable within individuals across years but not between individuals

Sandberg, K; Barnes, GR; Rees, G; Overgaard, M; (2014) Magnetoencephalographic activity related to conscious perception is stable within individuals across years but not between individuals. Journal of Cognitive Neuroscience , 26 (4) 840 - 853. 10.1162/jocn_a_00525. Green open access

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Abstract

Studies indicate that conscious perception is related to changes in neural activity within a time window that varies between 130 and 320 msec after stimulus presentation, yet it is not known whether such neural correlates of conscious perception are stable across time. Here, we examined the generalization across time within individuals and across different individuals. We trained classification algorithms to decode conscious perception from neural activity recorded during binocular rivalry using magnetoencephalography (MEG). The classifiers were then used to predict the perception of the same participants during different recording sessions either days or years later as well as between different participants. No drop in decoding accuracy was observed when decoding across years compared with days, whereas a large drop in decoding accuracy was found for between-participant decoding. Furthermore, underlying percept-specific MEG signals remained stable in terms of latency, amplitude, and sources within participants across years, whereas differences were found in all of these domains between individuals. Our findings demonstrate that the neural correlates of conscious perception are stable across years for adults, but differ across individuals. Moreover, the study validates decoding based on MEG data as a method for further studies of correlations between individual differences in perceptual contents and between-participant decoding accuracies.

Type: Article
Title: Magnetoencephalographic activity related to conscious perception is stable within individuals across years but not between individuals
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1162/jocn_a_00525
Publisher version: http://dx.doi.org/10.1162/jocn_a_00525
Language: English
Additional information: Copyright © 2014 Massachusetts Institute of Technology. Published under a Creative Commons Attribution 3.0 Unported (CC-BY 3.0) license (https://creativecommons.org/licenses/by/3.0/).
Keywords: Adult, Aging, Algorithms, Brain, Consciousness, Evoked Potentials, Visual, Female, Humans, Magnetoencephalography, Male, Support Vector Machines, Time Factors, Visual Perception
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/1416763
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