About this Research Topic
Although various studies from different fields in imaging have been published, for example, brain tumors, highlighting the potential of radiomics to enhance clinical decision-making. Connectomics also can be used to explore the pathological mechanisms of neurological diseases. However, the role of connectomics in the diagnosis and prognosis of neurological diseases needs to be further studied. In particular, methodologically, drawing on the analytical strategies of radiomics or the research framework of artificial intelligence may be able to improve this situation in connectomics. It is the emergence of big data, machine learning and artificial intelligence that can provide new opportunities for diagnosing neurological diseases based on brain network function and connectivity, transforming the future of diagnosis and treatment for every neurological disease in the world. The objective of this Research Topic is to collect the current progress of radiomics and/or connectomics, and related clinical applications in non-neoplastic neurological diseases, especially the new connectomic research protocols that draw on radiomics ideas and artificial intelligence for the diagnosis and clinical decision-making of neurological diseases. Such as Parkinson's disease, Alzheimer's disease, cerebral small vascular disease, epilepsy, and neuroimmune diseases.
We encourage contributions from neurology, neuroscience, neurocomputing, or neurotechnology perspectives, including interdisciplinary and multidisciplinary research related to the diagnosis, evaluation, and prognosis of neurological diseases related to radiomics and connectomics. In order to better understand its underlying mechanisms and develop new methods of diagnosis, treatment, and prognosis prediction.
Topics of interest include, but are not limited to:
- Diagnosis, quantitative evaluation, and prognosis related to radiomics or connectomics;
- AI application of MRI in neurological diseases;
- Overcoming technical challenges in the clinical practice of connectomics.
High-quality manuscripts such as original research, reviews, systematic reviews, brief research reports, methods, and mini-reviews are welcome.
Keywords: radiomics, connectomics, artificial intelligence, multiple sclerosis, Parkinson’s disease
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.