About this Research Topic
We are now entering the third decade of the 21st Century, and, especially in the last years, the achievements made by scientists have been exceptional, leading to major advancements in the fast-growing field of neuroimaging. Frontiers has organized a series of Research Topics to highlight the latest advancements in science in order to be at the forefront of science in different fields of research. This editorial initiative of particular relevance, led by Prof. Jorge J Riera, Specialty Chief Editor of the Computational Neuroimaging specialty section, together with Associate Editor Prof. Amir Shmuel, is focused on recent advances, new insights, novel developments, current challenges, and future perspectives in the field of computational neuroimaging.
The Research Topic solicits brief, forward-looking contributions that describe recent developments and major accomplishments, outline state-of-the-art methods, and identify goals to move the field forward. Authors are encouraged to identify the greatest challenges in the sub-disciplines, and how to address those challenges.
The goal of this special edition Research Topic is to provide a thorough overview of the status of the computational neuroimaging field, to shed light on the progress made in the past decade, and to foresee future challenges. This article collection will inspire, inform, and provide direction and guidance to researchers in the field.
The current Research Topic will focus specifically on the following areas
- Multiscale neuronal network models – mechanistic connection to neuroimaging data
- Biophysical models of metabolite fluxes in the brain – fingerprints for brain imaging
- Role of the new generation of radioisotopes and pharmacokinetics models to understand the brain’s computations
- Progress in understanding the neurovascular-coupling
- Integrating current knowledge to model and infer the brain’s computations from brain imaging data
The Research Topic solicits brief, forward-looking contributions that describe recent developments and major accomplishments, outline state-of-the-art methods, and identify goals to move the field forward. Authors are encouraged to identify the greatest challenges in the sub-disciplines, and how to address those challenges.
The goal of this special edition Research Topic is to provide a thorough overview of the status of the computational neuroimaging field, to shed light on the progress made in the past decade, and to foresee future challenges. This article collection will inspire, inform, and provide direction and guidance to researchers in the field.
The current Research Topic will focus specifically on the following areas
- Multiscale neuronal network models – mechanistic connection to neuroimaging data
- Biophysical models of metabolite fluxes in the brain – fingerprints for brain imaging
- Role of the new generation of radioisotopes and pharmacokinetics models to understand the brain’s computations
- Progress in understanding the neurovascular-coupling
- Integrating current knowledge to model and infer the brain’s computations from brain imaging data
Keywords: Brain Computation, Imaging Techniques, Technological Advances, Mathematical Methods, Biophysical Modeling
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.
