Brain Functional Connectivity: Prediction, Dynamics, and Modeling
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Neuroscience and Neural Engineering".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 717
Special Issue Editor
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 brain is one of the most complex and mysterious systems in the world. Functional connectivity can be studied in both the frequency and time domains using methods such as coherence, correlation, and artificial neural networks. Revealing the functional connectivity between different brain regions can help us understand the mechanisms underlying information processing and decision making during cognitive tasks. This knowledge can also address practical and challenging problems in various fields, including healthcare, medicine, biomedical engineering, brain–machine interfaces, and cognitive sciences. The aim of this Special Issue is to collect the best papers on recent advances and perspectives in brain connectivity research, encompassing theoretical modeling, experimental studies, and the analysis of neurophysiological data obtained using various brain imaging modalities.
Prof. Dr. Alexander N. Pisarchik
Guest Editor
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Keywords
- neuroimaging data analysis
- neurophysiological signal processing
- brain dynamics
- brain networks
- brain modeling
- brain deseases
- connectomics
- neuronal synchronization
- brain–machine interface
- cognitive neuroscience
- deep learning in neuroscience
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