Research Topic

Brain mapping: From Digital Microscopic to Gross Macroscopic Brain Imaging

About this Research Topic

The brain and its neural circuitry are among the most complex and perplexing natural systems. A main question in neuroscience is how such complex systems process the incoming perceptual, motor, and multisensory cognitive information to direct behavior and how we can model, replicate, and interpret this system's function. In recent decades, several methodologies and technologies have been extensively used to model different biological systems.

Brain mapping, defined by Society for Brain Mapping and Therapeutics (SBMT) in 2013, has been the focus of various multi-disciplinary studies. Many brain mapping methods (e.g., neuroimaging) use signals in the electromagnetic spectrum to describe brain structure or function. Such methods are now combined with big data and artificial intelligence. And data science has become key to advance our research in brain mapping.

This Research Topic covers recent directions and future perspectives in brain mapping. We welcome submissions on recent advances on brain mapping from different research methodologies. Original research and review articles, together with theoretical work and methods are welcomed. The research includes experimental studies using state of the art in electrophysiology, neuroimaging, and biologically inspired neural networks.


Keywords: Neural mapping, Digital Pathology, Electrophysiology, Neural engineering, Signal/image processing, Neural networks, Brain mapping


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.

The brain and its neural circuitry are among the most complex and perplexing natural systems. A main question in neuroscience is how such complex systems process the incoming perceptual, motor, and multisensory cognitive information to direct behavior and how we can model, replicate, and interpret this system's function. In recent decades, several methodologies and technologies have been extensively used to model different biological systems.

Brain mapping, defined by Society for Brain Mapping and Therapeutics (SBMT) in 2013, has been the focus of various multi-disciplinary studies. Many brain mapping methods (e.g., neuroimaging) use signals in the electromagnetic spectrum to describe brain structure or function. Such methods are now combined with big data and artificial intelligence. And data science has become key to advance our research in brain mapping.

This Research Topic covers recent directions and future perspectives in brain mapping. We welcome submissions on recent advances on brain mapping from different research methodologies. Original research and review articles, together with theoretical work and methods are welcomed. The research includes experimental studies using state of the art in electrophysiology, neuroimaging, and biologically inspired neural networks.


Keywords: Neural mapping, Digital Pathology, Electrophysiology, Neural engineering, Signal/image processing, Neural networks, Brain mapping


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.

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Submission Deadlines

14 November 2021 Abstract
14 March 2022 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

14 November 2021 Abstract
14 March 2022 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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