Neuroimaging and neurostimulation are essential in advancing our understanding of brain function and dysfunction. The rapid evolution of these fields has resulted in the developing of new techniques and methods, each with its own set of complex protocols and analytical approaches. This Research Topic aims to provide comprehensive tutorials on these cutting-edge neuroimaging and neurostimulation technologies, making them accessible to researchers.
The aim of this Research Topic is to compile a collection of tutorial articles that offer in-depth, practical guidance on various neuroimaging and neurostimulation methodologies. By doing so, we hope to bridge the gap between theoretical knowledge and practical application. These tutorials will serve as valuable resources for researchers, clinicians, and students who are keen to harness these techniques in their work.
We invite submissions that cover a broad spectrum of neuroimaging and neurostimulation topics, including but not limited to:
1. Magnetic Resonance Imaging (MRI) Techniques: Data acquisition, preprocessing, and analysis.
2. Electroencephalography (EEG) and Magnetoencephalography (MEG): Data acquisition, preprocessing, and analysis.
3. Positron Emission Tomography (PET): Methodological advancements and applications.
4. Transcranial Magnetic Stimulation (TMS): Protocols and clinical applications.
5. Transcranial Direct Current Stimulation (tDCS) and Transcranial Alternating Current Stimulation (tACS): Techniques, safety considerations, and therapeutic potential.
6. Functional Near-Infrared Spectroscopy (fNIRS): Data acquisition and analysis.
7. Data Analysis and Machine Learning: Techniques for processing and interpreting neuroimaging and neurostimulation data.
8. Integrative Approaches: Combining multiple neuroimaging and neurostimulation techniques for comprehensive brain mapping and modulation.
9. In Sillico Models of Neurostimulation: numerical simulations in accurate anatomical models based on high-definition neuroimaging techniques.
Authors should add the data to an open source repository and provide a sample data set available for readers to download to work through the tutorial.
Keywords:
tutorial, neuroimaging, neurostimulation
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.
Neuroimaging and neurostimulation are essential in advancing our understanding of brain function and dysfunction. The rapid evolution of these fields has resulted in the developing of new techniques and methods, each with its own set of complex protocols and analytical approaches. This Research Topic aims to provide comprehensive tutorials on these cutting-edge neuroimaging and neurostimulation technologies, making them accessible to researchers.
The aim of this Research Topic is to compile a collection of tutorial articles that offer in-depth, practical guidance on various neuroimaging and neurostimulation methodologies. By doing so, we hope to bridge the gap between theoretical knowledge and practical application. These tutorials will serve as valuable resources for researchers, clinicians, and students who are keen to harness these techniques in their work.
We invite submissions that cover a broad spectrum of neuroimaging and neurostimulation topics, including but not limited to:
1. Magnetic Resonance Imaging (MRI) Techniques: Data acquisition, preprocessing, and analysis.
2. Electroencephalography (EEG) and Magnetoencephalography (MEG): Data acquisition, preprocessing, and analysis.
3. Positron Emission Tomography (PET): Methodological advancements and applications.
4. Transcranial Magnetic Stimulation (TMS): Protocols and clinical applications.
5. Transcranial Direct Current Stimulation (tDCS) and Transcranial Alternating Current Stimulation (tACS): Techniques, safety considerations, and therapeutic potential.
6. Functional Near-Infrared Spectroscopy (fNIRS): Data acquisition and analysis.
7. Data Analysis and Machine Learning: Techniques for processing and interpreting neuroimaging and neurostimulation data.
8. Integrative Approaches: Combining multiple neuroimaging and neurostimulation techniques for comprehensive brain mapping and modulation.
9. In Sillico Models of Neurostimulation: numerical simulations in accurate anatomical models based on high-definition neuroimaging techniques.
Authors should add the data to an open source repository and provide a sample data set available for readers to download to work through the tutorial.
Keywords:
tutorial, neuroimaging, neurostimulation
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.