Innovations in Functional Neuroimaging: Imaging Technologies and Sensing Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 27 February 2027 | Viewed by 70
Special Issue Editors
Interests: bioinformatics; multi-omics and AI integration; trauma biomarkers; diagnostic platforms; neurobiology and stress response; biosensor and sensing technology
Special Issue Information
Dear Colleagues,
Recent advances in functional neuroimaging are reshaping our understanding of brain connectivity and function. Technologies such as fMRI, fNIRS, EEG, MEG, and PET now enable increasingly precise and dynamic observation of neural activity across research and clinical settings. These methods are widely used to investigate and diagnose neurophysiological and neuropsychiatric disorders. Alongside hardware innovations, computational modelling, statistical analysis, and advanced signal processing techniques play a critical role in extracting meaningful insights from large, high-dimensional neuroimaging datasets. The integration of multimodal neuroimaging data provides complementary perspectives on brain function and neuropathology. Artificial intelligence and machine learning approaches, particularly deep learning, further enhance data analysis and interpretation.
This Special Issue focuses on digital sensing and data science for biomedical applications, with particular emphasis on brain and mental health as well as human performance under extreme environments. It covers research employing EEG, MEG, fMRI, physiological sensors, and molecular omics, highlighting the integration of multimodal data with artificial intelligence. Together, these rapid developments highlight an urgent need for comprehensive review. This Special Issue invites contributions highlighting advanced functional neuroimaging technologies and relevant data science approaches to enhance their utility in critical research areas and clinical applications.
Dr. Jing Zhang
Dr. Benjamin Dunkley
Guest Editors
Manuscript Submission Information
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Keywords
- functional neuroimaging
- multimodal neuroimaging
- computational neuroimaging models
- AI‑assisted neuroimaging
- generative AI for neuroimaging
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