Neuro Informatics, Computational and Data Analysis – NICD

Topics

• Development of advanced techniques for network analyses of brain function and connectomics.
• Development of computational techniques for image processing, quantification, and disease diagnostics using computational approaches including machine learning and artificial intelligence.
• Development of advanced image reconstruction using for example AI or novel mathematical methodology for PET/MRI/MRS/ultrasound/fNIRs/MEG, simultaneous PET-MRI, TMS-MRI.
• Development of informatics technology and creation of imaging and clinical database resources.
• Mathematical modeling and simulation of neuronal ensembles.
• Mathematical and computational models of ocular physiology and pathophysiology.
• Informatics and creation of imaging database resources; computational approaches and image analysis tools.
• Creating or improving current computational and mathematical models based on TMS, tDCS as analytical tools for neuroimaging data analytics for improving functional brain atlas.
• Informatics, machine learning and associated artificial intelligence technologies for use in imaging processing for these techniques.

Shared Interests and Overlaps

There are shared interests in imaging tool development with Brain Injury and Neurovascular Disorders (BIND). Applications that emphasize the development of novel imaging tools, modeling and data analytics are reviewed in NICD. Applications that emphasize applying new imaging tools and technologies in the evaluation of neurological disorders such as stroke, epilepsy, and traumatic brain injury are reviewed in BIND. BIND does not review applications focused on new technologies that only use the neurological disorders as an output secondary to the focus on the further development or refinement of the imaging tools.

There are shared interests in computer modeling with Clinical Neuroplasticity and Neurotransmitters (CNNT). Applications that emphasize developing new computer modeling techniques are reviewed in NICD. Applications that emphasize applying newly developed computer modeling techniques to evaluate synaptic connectivity changes related to epilepsy, spinal cord injury and Parkinson’s disease as well as adapting established models for their use in disorders are reviewed in CNNT.

There are shared interests in the computational analysis of -omics data with Genomics, Computational Biology and Technology (GCAT). Applications that emphasize developing computational methods and tools for improving brain related imaging -omic data analysis and integration are reviewed in NICD. Applications that emphasize developing computational methods to address specific biological questions in genetics, genomics, metabolomics, and proteomics are reviewed in GCAT.

There are shared interests in the computational analysis of ‘-omics’ data with Biodata Management and Analysis (BDMA). Applications that emphasize developing computational methods and tools for specifically for improving brain imaging ‘-omics’ data analysis and integration are reviewed in NICD. Applications that emphasize developing computational methods and tools for specifically for improving brain imaging ‘-omics’ data analysis and integration with a focus on other biological processes are reviewed in BDMA.

There are shared interests in imaging and computational approaches to medical imaging with Clinical Data Management and Analysis (CDMA). Applications that emphasize creating or developing multimodal imaging or computational approaches to medical imaging based on TMS, tDCS and optogenetics are reviewed in NICD. Applications that emphasize imaging from electronic health records and with clinical outcomes are reviewed in CDMA.

There are shared interests in image analysis and processing with Neuromodulation and Imaging of Neuronal Circuits (NINC). Applications that emphasize computation image processing are reviewed in NICD. Applications that emphasize other scientific, technical, and translational aspects of the technology are reviewed in NINC.