Alpha/beta power decreases track the fidelity of stimulus-specific information
Abstract
Massed synchronised neuronal firing is detrimental to information processing. When networks of task-irrelevant neurons fire in unison, they mask the signal generated by task-critical neurons. On a macroscopic level, such synchronisation can contribute to alpha/beta (8-30Hz) oscillations. Reducing the amplitude of these oscillations, therefore, may enhance information processing. Here, we test this hypothesis. Twenty-one participants completed an associative memory task while undergoing simultaneous EEG-fMRI recordings. Using representational similarity analysis, we quantified the amount of stimulus-specific information represented within the BOLD signal on every trial. When correlating this metric with concurrently-recorded alpha/beta power, we found a significant negative correlation which indicated that as post-stimulus alpha/beta power decreased, stimulus-specific information increased. Critically, we found this effect in three unique tasks: visual perception, auditory perception, and visual memory retrieval, indicating that this phenomenon transcends both stimulus modality and cognitive task. These results indicate that alpha/beta power decreases parametrically track the fidelity of both externally-presented and internally-generated stimulus-specific information represented within the cortex.
Data availability
The data has been made available on OpenNeuro (https://openneuro.org/datasets/ds002000/versions/1.0.0). Additionally, the data used to create the figures can be found on the Github repository with the associated scripts. (https://github.com/benjaminGriffiths/reinstatement_fidelity)
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Alpha/beta power decreases track the fidelity of stimulus-specific informationOpenNeuro, 10.18112/openneuro.ds002000.v1.0.0.
Article and author information
Author details
Funding
H2020 European Research Council (647954)
- Simon Hanslmayr
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Human subjects: Participants provided informed consent to the experiment, the publication of the results, and the uploading of their anonymised data. Ethical approval was granted by the Research Ethics Committee at the University of Birmingham (ERN_15-0335B), complying with the Declaration of Helsinki.
Reviewing Editor
- Saskia Haegens, Columbia University College of Physicians and Surgeons, United States
Publication history
- Received: June 21, 2019
- Accepted: November 28, 2019
- Accepted Manuscript published: November 29, 2019 (version 1)
- Version of Record published: December 10, 2019 (version 2)
Copyright
© 2019, Griffiths et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Further reading
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Background: Deep Brain Stimulation (DBS) electrode implant trajectories are stereotactically defined using preoperative neuroimaging. To validate the correct trajectory, microelectrode recordings (MER) or local field potential recordings (LFP) can be used to extend neuroanatomical information (defined by magnetic resonance imaging) with neurophysiological activity patterns recorded from micro- and macroelectrodes probing the surgical target site. Currently, these two sources of information (imaging vs. electrophysiology) are analyzed separately, while means to fuse both data streams have not been introduced.
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Conclusions: This novel software platform for multimodal data visualization and analysis bears translational potential to improve accuracy of DBS surgery. The toolbox is made openly available and is extendable to integrate with additional software packages.
Funding: Deutsche Forschungsgesellschaft (410169619, 424778381), Deutsches Zentrum für Luftund Raumfahrt (DynaSti), National Institutes of Health (2R01 MH113929), Foundation for OCD Research (FFOR).