Dear colleagues,
In 2023, we will serve as editors of the research topic: “Forward and Inverse Solvers in Multi-Modal Electric and Magnetic Brain Imaging: Theory, Implementation, and Application” for “Frontiers in Human Neuroscience”.**
With this topic, our aim is to advance the development of unified solver approaches that can utilize the vast amount of volumetric information available today through high-resolution and high-contrast MRI scans and benefit from the complementary of the different modalities. We will focus on novel methods that make use of high-resolution MRI data in combination with novel approaches to modeling and inference applied to problems in source localization, modeling of brain stimulation, and impedance tomography.
The scope will cover the following aspects:
(1) Integrating powerful volumetric forward simulation techniques with inverse approaches currently includes many open questions. These include, for example, the stability of a FEM-based source model inside a complex-structured head model with high contrasts inside or the inverse effects that follow from the using a realistic geometry.
(2) Numerical implementations, their performance, and experimental applications are welcome, for instance, in building an advanced inverse approach, e.g., a dynamic Bayesian solver or a Machine Learning scheme, which requires a solid interplay between different forward and inverse solver components.
(3) Improving the level of multi-modality in inverse modeling: for instance, optimized stimulation and source localization approaches, or complementary modalities, can be coupled in a straightforward manner, if a volumetric forward simulation is applied.
In particular, the following invasive & non-invasive multimodal neuroimaging techniques and their application in the field of Electrophysiology and Bioelectromagnetism will be considered, including the following modalities (but not limited to):
Electroencephalography (EEG);
Magnetoencephalography (MEG);
Magnetic Resonance Imaging (MRI);
Invasive EEG, sEEG, iEEG, ECOG;
DBS, CCEPs, and low-power stimulation;
Neurotherapeutic approaches;
Transcranial Magnetic Stimulation (TMS);
Transcranial Electric Stimulation (TES);
Temporal Interference Stimulation (TIS);
Functional MRI, diffusion tensor imaging (DTI);
Combined EEG/MEG/fMRI Functional
Near-Infrared Spectroscopy (fNIRS);
Utilizing cutting-edge artificial intelligence;
Forward methods;
Inverse methods;
Machine learning;
Deep learning;
We thus welcome contributions to new methods and implementations that impact the public through novelty, practicality, and easy human application.
Given your solid field expertise, we think your contribution would greatly enhance our proposed research topic. We would be excited to receive an abstract of your submission (about 200 words) by 6 March 2023 and the full submission by 6 June 2023.
You can find all information regarding the scope and the submission process at https://www.frontiersin.org/research-topics/50903/forward-and-inverse-solvers-in-multi-modal-electric-and-magnetic-brain-imaging-theory-implementation.
Please feel free to share this link or forward this announcement to your colleagues, students, and anyone else you think might be interested in contributing.
We are looking forward to your contribution!
Sincerely,
The Topic Editors:
Sampsa Pursiainen (email: sampsa.pursiainen@tuni.fi)
Richard Leahy (email: leahy@usc.edu)
Takfarinas Medani (email: medani@usc.edu)
Johannes Vorwerk (email: johannes.vorwerk@umit-tirol.at)
Maria Carla Piastra (email: m.c.piastra@utwente.nl)