Advancing our understanding of the brain and central nervous system requires collaboration across various scientific disciplines, such as neuroscience, engineering, computer science, physics and mathematics, in order to extract, analyze and interpret meaningful information from neuroimaging and neurophysiological data, obtained using modalities such as EEG, ECoG, MEG, MRI, optical imaging and NIRS, PET, CT, functional ultrasound, microscopy, or calcium imaging. The amount of brain imaging and neurophysiological data available for researchers and clinicians is growing rapidly and vastly due to unprecedented spatial, temporal and spectral resolutions, the discovery of novel imaging modalities, the integration of multiple signal and imaging techniques, and the more universal availability of equipment. This special issue aims to present novel signal processing algorithms and models that aim to gain a deeper understanding of the function, structure and physiology of the healthy and diseased brain and central nervous system, along with the new challenges this goal poses and inspiring new directions in theoretical and applied signal processing for neuroscience. Research articles, review articles as well as short communications are welcomed.
Potential topics of interest include, but are not limited to the following:
- Advanced signal processing methods for neuroimaging data, such as preprocessing, denoising, artifact removal or correction, and feature extraction
- Algorithms for biomedical image analysis (segmentation, registration, normalization, atlas) applied to neuroscience and neuroimaging data
- Signal models, simulation-based methods and inference for computational neuroscience
- Algorithms for functional, structural and multimodal brain connectivity, including graph theory and graph signal processing
- Machine learning and deep learning techniques for neuroimaging data analysis
- Multimodal imaging and fusion methods for studying brain function and structure
- Microscopy and calcium imaging techniques for studying neuronal activity
- Real-time and online signal processing for neurofeedback and brain-computer interface applications
- Applications of signal processing to cognitive, clinical and translational neuroscience
Date of submission deadline: 31 December 2023
Lead Guest Editor
César Caballero Gaudes, Basque Center on Cognition, Brain, and Language, San Sebastián, Spain
Borbála Hunyadi, TU Delft, Netherlands
Philippe Ciuciu, CEA, France
Patricia Figueiredo, Universidade de Lisboa, Portugal
Devrim Unay, Izmir Demokrasi University, Turkey
Before submitting your manuscript, please ensure you have carefully read the Instructions for Authors for EURASIP Journal on Advances in Signal Processing. The complete manuscript should be submitted through the EURASIP Journal on Advances in Signal Processing submission system. To ensure that you submit to the correct special issue please select the appropriate section in the drop-down menu upon submission. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the special issue. All submissions will undergo rigorous single-blind peer review and accepted articles will be published within the journal as a collection on the special issue website.
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