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The Brain Topography editorial team congratulates Dr. Stefan Haufe and Dr. Arne Ewald on receiving the Organization for Human Brain Mapping Award, which was presented during the virtual 26th OHBM Annual Meeting: A Virtual Experience for Engaging Minds & Empowering Brain Science. The meeting took place from June 23rd to July 3rd, 2020. Please click here to read the award-winning article.
Special Issue on “Computational Models of M/EEG and Their Applications”
Guest Editors: Benedetta Franceschiello, Katharina Glomb, Jérémie Lefebvre
The topic of this special issue of Brain Topography is the combination of computational modeling and M/EEG recordings for the development of new applications beyond those classification methods solely based on signal processing. Computational models allow experimenters to simulate phenomena and interactions beyond what could be physiologically tested and observed in the real world, while at the same time computational models should validate the proposed mechanisms on recordings of M/EEG. We believe that the use of computational modeling of brain networks could greatly help to improve EEG research.
A list of topics pertinent to the special issue include the following, though interested authors are encouraged to expand beyond these, provided the work falls within the scope of the special issue:
- Computational models of M/EEG at the level of single cells and micro-circuits.
Description: biologically compatible single-cell or ensemble activity of different types of neurons that are relevant to the analysis and modeling of M/EEG recordings. There should be an integration of empirical data that validate the proposed model.
- Computational models of M/EEG at the level of neural masses and neural fields.
Description: biologically compatible models of population dynamics and how they could determine specific features of the electrical activity recorded by M/EEG.
- Macroscopic computational models for M/EEG taking into account brain connectivity and/or gradients.
Description: computational models investigating the contributions of brain connectivity and/or cortical gradients to global activity. For example, models from the previous topic may be used to model the dynamics of individual brain regions.
- Applications of computational models of M/EEG:
Description: how quantitative and qualitative measures extracted through computational models of M/EEG allow for interpreting behavioural or perceptual mechanisms and investigating the relationships between sensory inputs and brain activity across areas. Exemplar domains of application include: brain stimulation, epilepsy, anesthesia, coma and disorders of consciousness, neuropsychiatric disorders, and brain-computer interfaces.
Instructions for interested authors:
Interested authors should write an informal proposal to the guest editors before March 31st, 2020. This should include a short summary of the planned submission as well as a tentative author list. These should be addressed to all guest editors: email@example.com, firstname.lastname@example.org and jlefebv3@uOttawa.ca with “BTOP Special Issue Proposal” as the subject line.
Only submissions from authors who have received positive feedback from the guest editors on a proposal will be considered for publication. All other submissions risk not being considered. Prospective authors should note that all submissions will undergo full peer-review. Therefore, an invitation to submit to the special issue in no way guarantees the work will ultimately be accepted for publication in Brain Topography. Details on formatting requirements for and article types at Brain Topography can be found at https://www.springer.com/journal/10548/submission-guidelines?IFA .
Submissions must be made via the Editorial Manager portal at www.editorialmanager.com/btop. Authors should select “Computational Modeling and M/EEG” as the article type when submitting.
Manuscripts can be submitted from now until June 15th, 2020. Accepted papers will be published online shortly after acceptance and the complete set of articles will be bundled together as a single issue.
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