Advances in Neuroimaging Data Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (20 September 2022) | Viewed by 28744
Special Issue Editors
2. Neuroscience and Cognitive Technology Laboratory, Innopolis University, Kazan 420500, Russia
Interests: neuroscience; nonlinear dynamics; wavelets; intelligent systems; synchronization; biomedical signal processing; neuronal networks
Special Issues, Collections and Topics in MDPI journals
Interests: complex systems; bioinformatics; mathematical and computational biology; optics and photonics; biological physics; cognitive neuroscience
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The development of in vivo neuroimaging techniques has led to an incredible amount of digital information about the brain. Neuroimaging techniques are increasingly being used to study human cognitive processes, create brain–machine interfaces, and also to identify and diagnose certain brain disorders. Currently, neuroscientists and medics actively use different methods for brain scans, including electro- and magnetoencephalography (EEG/MEG), functional near-infrared spectroscopy (fNIRS), electrocorticography (ECoG), functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and diffusion tensor imaging (DTI). Recent advances in signal processing and machine learning for neuroimaging data using various signal processing methods have made impressive progress in solving a number of practical tasks in medicine, healthcare, neuroscience, biomedical engineering, brain–machine interfaces, and cognitive science, to name but a few. This Special Issue aims to provide a forum for academic and industrial communities to present and discuss the latest theoretical and experimental results related to recent advances in neuroimaging data processing in terms of new theories, algorithms, architectures, and applications. We invite you to submit original papers about your research covering innovative physical, mathematical, and engineering approaches, novel computational methods, advanced technologies, and meaningful applications that could potentially improve our knowledge about brain functionality.
Prof. Dr. Alexander E. Hramov
Prof. Dr. Alexander N. Pisarchik
Guest Editors
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Keywords
- MEG/EEG data processing
- MEG/EEG source reconstruction
- functional near-infrared spectroscopy (fNIRS)
- functional magnetic resonance imaging (fMRI)
- positron emission tomography (PET)
- neuroimaging workflow design and data mining
- invasive and noninvasive brain data analyses
- brain functional connectivity restoration
- brain states classification
- neuroinformatics
- brain–computer and brain–machine interfaces
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