Multimodal Brain Imaging in Clinical Practice
A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Neurobiology and Clinical Neuroscience".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 289
Special Issue Editor
Interests: neuroimaging; rehabilitation; artificial intelligence; brain–computer interface; neuromodulation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advances in brain imaging have significantly enhanced our ability to understand and manage neurological and psychiatric disorders. Techniques such as magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), electroencephalography (EEG), and functional near-infrared spectroscopy (fNIRS) provide objective and complementary insights into brain structure, connectivity, electrical activity, and hemodynamic responses.
When combined with clinical assessments, behavioral evaluations, and neuropsychological testing, these modalities offer a more comprehensive view of brain function in health and disease. Structural MRI and DTI help characterize anatomical and white matter alterations, while EEG and fNIRS enable real-time monitoring of neural dynamics in both laboratory and bedside settings. Together, these approaches support improved diagnosis, prognosis, and treatment monitoring and contribute to the development of imaging-based biomarkers.
This Special Issue welcomes original research and reviews focusing on innovative neuroimaging methodologies, multimodal integration, and translational applications that bridge brain imaging and clinical decision-making. Contributions addressing biomarker development, precision medicine, and emerging analytical approaches are particularly encouraged.
Dr. Fares Al-Shargie
Guest Editor
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Keywords
- multimodal neuroimaging
- magnetic resonance imaging (MRI)
- diffusion tensor imaging (DTI)
- electroencephalography (EEG)
- functional near-infrared spectroscopy (fNIRS)
- neuroimaging biomarkers
- clinical translation
- precision medicine
- brain connectivity and machine learning in neuroimaging
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