Manuscript Topics

Predicting and understanding the mechanisms of neurodegenerative diseases, such as Alzheimer’s Disease and Parkinson’s Disease, are crucial for advancing our knowledge of neurological disorders and developing effective treatments. To accomplish this objective, imaging-genetic studies undoubtedly represent an indispensable and highly promising avenue of research. In recent years, the efforts invested in collecting and organizing large-scale neuroimaging as well as genetic datasets have empowered researchers to design and implement innovative computational intelligent approaches, including deep learning models, for the analysis of these data. These methods have demonstrated their efficacy in predicting, diagnosing, and interpreting neurological disorders. This special issue is dedicated to fostering the development of novel computational techniques for the analysis of imaging-genetic data, as well as encouraging new exploratory and experimental contributions to the field of clinical phenotypic studies related to neurological disorders.

Topics of interest include but are not limited to:
• Disease studies based on neuroimaging data or genetic data.
• Imaging-genetic data studies.
• Multimodal imaging-genetic studies.
• Computational / Machine learning models for imaging-genetic data analysis.
• Neuroimaging segmentation.
• Interpretable model to explore cause of neurodegenerative disease based on imaging-genetic data.
• Neuroimaging pre-processing, such as quality control, and augmentation.
•New methods for brain disease prediction.

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Please submit your manuscript to online submission system
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