Neuroimaging Studies in Exploring the Molecular Mechanisms of Neurological Diseases
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Neurobiology".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 208
Special Issue Editor
Interests: neuroscience; translation brain science
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in brain imaging have made significant progress in identifying biomarkers associated with various brain diseases. electroencephalography (EEG), magnetoencephalography (MEG), structural magnetic resonance imaging (MRI), and positron emission tomography (PET) are critical in identifying diseases such as Alzheimer's disease, Parkinson's disease, multiple sclerosis, and epilepsy. It has attracted much attention due to its utility in biomarkers.
Explore how neuroimaging reveals changes in brain connectivity, primarily through functional MRI and diffusion Tensor Imaging (DTI). This is critical for conditions such as schizophrenia, depression, and autism, where abnormal network patterns could serve as diagnostic criteria or therapeutic targets. Artificial intelligence-driven analysis, particularly neuroimaging, physiological testing, and genetic analysis aims to enhance early detection, diagnosis, and monitoring of neurological diseases by combining phenotypic and genotypic testing. By linking specific genetic mutations with abnormal brain network patterns revealed by fMRI imaging and DTI, researchers can identify biomarkers and potential therapeutic targets for neurological disease and support precision medicine.
Dr. Ming-Chang Chiang
Guest Editor
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Keywords
- neuroimaging
- neurological diseases
- brain imaging
- biomarkers
- functional connectivity
- AI in neuroimaging
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