Explore the words cloud of the MidFrontalTheta2.0 project. It provides you a very rough idea of what is the project "MidFrontalTheta2.0" about.
The following table provides information about the project.
Coordinator |
STICHTING KATHOLIEKE UNIVERSITEIT
Organization address contact info |
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 |
Take a look of project's partnership.
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1 | STICHTING KATHOLIEKE UNIVERSITEIT | NL (NIJMEGEN) | coordinator | 1˙500˙000.00 |
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.
year | authors and title | journal | last update |
---|---|---|---|
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 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MIDFRONTALTHETA2.0" project.
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Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "MIDFRONTALTHETA2.0" are provided by the European Opendata Portal: CORDIS opendata.
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