Addressing the multiscale brain organization is fundamental not only to understand its inherent mechanisms of function but also to answer neuropathological questions and promote the development of new technologies for AI and health. While relevant advances have been made on the experimental front - encompassing genetics, molecular biology, cell physiology and brain imaging – recent developments in informatics and big data have opened a new scenario, in which multiscale computational models can be used to simulate brain functions and to foster a range of technological applications. Multiscale brain modelling is an emerging technological and scientific sector. In principle, it is now possible to model neurons and synapses in detail and then connect them into large neuronal assemblies to explain the relationship between microscopic phenomena, large-scale brain functions, and behavior. More difficult is to infer neuronal functions from ensemble measurements like those currently obtained with MRI, EEG, MEG or PET.
This Research Topic will focus on hot questions about multiscale brain modelling: what is a multiscale brain model and how can we construct it? What are the clinical fallouts of such emerging technology? What should we concentrate on as a multi-disciplinary community to achieve the highest impact? Papers can include original articles, reviews, and commentaries on fundamental definitions, data collection, model construction and validation, and applications to clinical cases. We believe this Research Topic will provide a standpoint fueling future discussion and, fostering the development of new ideas on what to concentrate on in years to come, inspiring young and established scientists, and promoting inter-disciplinary integration in this emerging research field.
Keywords:
brain model, MRI, EEG, MEG, PET
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.
Addressing the multiscale brain organization is fundamental not only to understand its inherent mechanisms of function but also to answer neuropathological questions and promote the development of new technologies for AI and health. While relevant advances have been made on the experimental front - encompassing genetics, molecular biology, cell physiology and brain imaging – recent developments in informatics and big data have opened a new scenario, in which multiscale computational models can be used to simulate brain functions and to foster a range of technological applications. Multiscale brain modelling is an emerging technological and scientific sector. In principle, it is now possible to model neurons and synapses in detail and then connect them into large neuronal assemblies to explain the relationship between microscopic phenomena, large-scale brain functions, and behavior. More difficult is to infer neuronal functions from ensemble measurements like those currently obtained with MRI, EEG, MEG or PET.
This Research Topic will focus on hot questions about multiscale brain modelling: what is a multiscale brain model and how can we construct it? What are the clinical fallouts of such emerging technology? What should we concentrate on as a multi-disciplinary community to achieve the highest impact? Papers can include original articles, reviews, and commentaries on fundamental definitions, data collection, model construction and validation, and applications to clinical cases. We believe this Research Topic will provide a standpoint fueling future discussion and, fostering the development of new ideas on what to concentrate on in years to come, inspiring young and established scientists, and promoting inter-disciplinary integration in this emerging research field.
Keywords:
brain model, MRI, EEG, MEG, PET
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.