Imaging and Modeling Alzheimer's Disease: The Quest for Mechanistic Understanding, Early Diagnosis, and Novel Treatments
A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Neurobiology and Clinical Neuroscience".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 30
Special Issue Editor
Special Issue Information
Dear Colleagues,
Alzheimer's disease (AD) is a prevalent and devastating neurodegenerative disorder that represents a grand challenge to human health and society. Despite decades of intensive research, its precise etiology and effective treatments are still lacking. Recent advances in neuroimaging have enabled the development of sophisticated tools and models to elucidate the intricate mechanisms and organizational principles of the human brain at an extraordinary level of detail, which provides immense opportunities to fathom deeper mechanistic insights and develop novel early diagnostic approaches and effective therapeutics for AD.
This Special Issue focuses on the application of multimodal neuroimaging (e.g., structural, diffusion, and functional MRI, MRS, PET, MEG, and EEG), multiscale modeling (molecular, cellular, circuit, network, and system models), and machine learning in order to gain a better mechanistic understanding of AD pathogenesis, identify more sensitive imaging biomarkers for early diagnosis, and infer better and novel treatment modality. Topics of interest include, but are not limited to, the following: (1) imaging-based connectome analysis (structural and functional); (2) PET-beta amyloid (Aβ) and PET-tau biomarker evaluation; (3) machine learning-based early detection of AD and prediction of AD progression; (4) computational modeling and analysis of AD pathology (biophysical models, neural mass models, dynamic causal models, network diffusion models, and epidemic spreading models); and (5) imaging- or modeling-informed developments of novel treatment options such as non-invasive brain stimulation and deep brain stimulation.
We look forward to receiving your contributions.
Dr. Guoshi Li
Guest Editor
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Keywords
- biomarker identification
- connectome analysis
- computational neuroimaging
- biophysical modeling
- network models
- machine learning
- brain stimulation
- neurodegeneration
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