Research Topic

Brain Connectivity Investigation: Experiments, Analysis, and New Developments

About this Research Topic

The brain is a network of spatially distributed but functionally connected regions. These regions share various information while interacting with each other. There are different types of brain interaction/connection including structural, functional, and effective connectivity. Each type of brain connectivity reveals important information about brain performance. Structural connectivity refers to the connection between axons of neurons. Functional connectivity refers to correlated neuron functions while effective connectivity refers to the influence of one brain region on another. 
Understanding the brain network involved in performing different tasks is crucial to identify how the brain processes information and makes decisions in an optimal way. 
Not only does brain connectivity exploration provides comprehensive information about brain function cognition, but also it helps physicians to find appropriate medication for patients. For example, exploring brain networks for patients suffering from different mental disorders such as depression, autism, social anxiety or schizophrenia helps to find a better solution for their medication or therapy. Investigation of remodeling structural connections between neurons after brain stroke can be considered as another advantage of studying brain connectivity.

Neuroimaging techniques are effective tools that provide the opportunity to investigate brain networks. It is undeniable that fusion of information obtained by different neuroimaging methods reveals more reliable knowledge and understanding of complex networks and related activities of the brain. The main aim of this Research Topic is to support researchers taking advantage of different neuroimage methods to investigate all types of brain connectivity. In addition, studies exploring how the outcomes of brain connectivity researches can improve wellbeing also welcomed. Besides neuroimaging techniques, advances in brain signal and image processing algorithms, as well as artificial intelligence techniques, provide great research opportunities to further study the brain network. This Research Topic will also support all studies related to the aforementioned topics. It is evident that advances in brain connectivity studies will improve the design and implementation of medical devices.

This Research Topic aims to attract recent experimental researches, novel computational studies, fusion of multimodal neuroimaging techniques for brain connectivity analysis, and ideas about healthcare, rehabilitation methods, and equipment. This collection welcomes contributions that engage but not limited to any of the following topics:

- Electroencephalogram (EEG)
- Functional magnetic resonance spectroscopy (fMRI)
- Functional near-infrared spectroscopy (fNIRS)
- Magnetoencephalogram (MEG)
- Functional connectivity in the brain
- Effective connectivity in the brain
- Fusion of neuroimaging data to study brain connectivity
- Diffusion-weighted magnetic resonance imaging (DTI)
- Brain connectivity and rehabilitation
- Using brain connectivity in BCI applications
- Brain connectivity and artificial intelligence  


Keywords: Brain Network, Functional Connectivity, Effective Connectivity, Structural Connectivity, Cognitive Neuroscience


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 is a network of spatially distributed but functionally connected regions. These regions share various information while interacting with each other. There are different types of brain interaction/connection including structural, functional, and effective connectivity. Each type of brain connectivity reveals important information about brain performance. Structural connectivity refers to the connection between axons of neurons. Functional connectivity refers to correlated neuron functions while effective connectivity refers to the influence of one brain region on another. 
Understanding the brain network involved in performing different tasks is crucial to identify how the brain processes information and makes decisions in an optimal way. 
Not only does brain connectivity exploration provides comprehensive information about brain function cognition, but also it helps physicians to find appropriate medication for patients. For example, exploring brain networks for patients suffering from different mental disorders such as depression, autism, social anxiety or schizophrenia helps to find a better solution for their medication or therapy. Investigation of remodeling structural connections between neurons after brain stroke can be considered as another advantage of studying brain connectivity.

Neuroimaging techniques are effective tools that provide the opportunity to investigate brain networks. It is undeniable that fusion of information obtained by different neuroimaging methods reveals more reliable knowledge and understanding of complex networks and related activities of the brain. The main aim of this Research Topic is to support researchers taking advantage of different neuroimage methods to investigate all types of brain connectivity. In addition, studies exploring how the outcomes of brain connectivity researches can improve wellbeing also welcomed. Besides neuroimaging techniques, advances in brain signal and image processing algorithms, as well as artificial intelligence techniques, provide great research opportunities to further study the brain network. This Research Topic will also support all studies related to the aforementioned topics. It is evident that advances in brain connectivity studies will improve the design and implementation of medical devices.

This Research Topic aims to attract recent experimental researches, novel computational studies, fusion of multimodal neuroimaging techniques for brain connectivity analysis, and ideas about healthcare, rehabilitation methods, and equipment. This collection welcomes contributions that engage but not limited to any of the following topics:

- Electroencephalogram (EEG)
- Functional magnetic resonance spectroscopy (fMRI)
- Functional near-infrared spectroscopy (fNIRS)
- Magnetoencephalogram (MEG)
- Functional connectivity in the brain
- Effective connectivity in the brain
- Fusion of neuroimaging data to study brain connectivity
- Diffusion-weighted magnetic resonance imaging (DTI)
- Brain connectivity and rehabilitation
- Using brain connectivity in BCI applications
- Brain connectivity and artificial intelligence  


Keywords: Brain Network, Functional Connectivity, Effective Connectivity, Structural Connectivity, Cognitive Neuroscience


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

26 June 2021 Abstract
24 October 2021 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

26 June 2021 Abstract
24 October 2021 Manuscript

Participating Journals

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

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