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MidFrontalTheta2.0 SIGNED

MidFrontal Cortex Theta Oscillations: Causes and Consequences

Total Cost €

0

EC-Contrib. €

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Partnership

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 MidFrontalTheta2.0 project word cloud

Explore the words cloud of the MidFrontalTheta2.0 project. It provides you a very rough idea of what is the project "MidFrontalTheta2.0" about.

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Project "MidFrontalTheta2.0" data sheet

The following table provides information about the project.

Coordinator
STICHTING KATHOLIEKE UNIVERSITEIT 

Organization address
address: GEERT GROOTEPLEIN NOORD 9
city: NIJMEGEN
postcode: 6525 EZ
website: www.radboudumc.nl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 1˙500˙000 €
 EC max contribution 1˙500˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-STG
 Funding Scheme ERC-STG
 Starting year 2015
 Duration (year-month-day) from 2015-07-01   to  2020-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    STICHTING KATHOLIEKE UNIVERSITEIT NL (NIJMEGEN) coordinator 1˙500˙000.00

Map

 Project objective

While reading this text, pat your head and rub your stomach (if someone sees you, tell them it's OK; you're doing science). Right now you are engaging in an action that must be actively monitored and quickly adjusted to avoid making mistakes. Over the past five years, my collaborators and I discovered that there is a specific pattern of brain electrical activity that occurs during response conflict—competition between multiple conflicting actions when a mistake could be made. This brain activity is observed over the midfrontal cortex (MFC) and is characterized by oscillations at around 6 cycles per second (the theta band). MFC theta is a highly statistically robust marker of the neural networks involved in action monitoring and behavior adjustments, correlates with single-trial reaction time, and predicts how well people learn from mistakes. Despite these robust findings linking MFC theta to action monitoring, the significance of MFC theta for how neural microcircuits actually implement action monitoring and adjustments is unknown. In the ERC research we will use computer simulations and rodent models to understand how different types of neurons in different cortical layers might use action potentials and oscillations to implement action monitoring. The results will help us understand how the brain monitors behavior and avoids mistakes, and will also give insight into neural microcircuit organization as it relates to higher cognitive function. While developing these computer simulations and rodent models, we will also take our human research to the next level by asking: If action monitoring in the MFC is supported by theta oscillations, does this mean that our actions, and our ability to monitor and adjust them, occur with theta rhythmicity? To answer this question, we will develop new tasks combining data-gloves and EEG to test how the timing of human sequenced actions during keyboard typing (typists type in “theta”) corresponds to temporal dynamics of MFC theta.

 Publications

year authors and title journal last update
List of publications.
2017 Michael X Cohen
Rigor and replication in time-frequency analyses of cognitive electrophysiology data
published pages: 80-87, ISSN: 0167-8760, DOI: 10.1016/j.ijpsycho.2016.02.001
International Journal of Psychophysiology 111 2020-02-21
2017 Michael X Cohen
Multivariate cross-frequency coupling via generalized eigendecomposition
published pages: , ISSN: 2050-084X, DOI: 10.1101/099184
Elife 2020-02-21
2017 Michael X Cohen
Where does EEG come from and what does it mean?
published pages: , ISSN: 0166-2236, DOI:
Trends in Neurosciences 2020-02-21
2016 Michael X Cohen
Midfrontal theta tracks action monitoring over multiple interactive time scales
published pages: 262-272, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2016.07.054
NeuroImage 141 2020-02-21
2017 Michael X Cohen, Rasa Gulbinaite
Rhythmic entrainment source separation: Optimizing analyses of neural responses to rhythmic sensory stimulation
published pages: 43-56, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2016.11.036
NeuroImage 147 2020-02-21
2015 Joram van Driel, Ilja G. Sligte, Jara Linders, Daniel Elport, Michael X Cohen
Frequency Band-Specific Electrical Brain Stimulation Modulates Cognitive Control Processes
published pages: e0138984, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0138984
PLOS ONE 10/9 2020-02-21
2017 Michael X Cohen
Comparison of linear spatial filters for identifying oscillatory activity in multichannel data
published pages: 1-12, ISSN: 0165-0270, DOI: 10.1016/j.jneumeth.2016.12.016
Journal of Neuroscience Methods 278 2020-02-21

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The information about "MIDFRONTALTHETA2.0" are provided by the European Opendata Portal: CORDIS opendata.

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