The human brain undergoes intricate and prolonged maturation processes that extend to late adolescence and beyond. The structural and functional changes of the brain underlie the immense development of cognition from early childhood to adulthood. Recent advances in brain imaging have made it possible to accurately measure and capture the development of brain connectivity and networks. These approaches are critical because cognition arises from coordinated activities across distributed brain regions. Studying the development of large-scale networks in the brain will lead to new insights and knowledge on how the brain supports cognitive development, which will also be crucial to advance our understanding of abnormal development and disorders.
Brain imaging research from the last few years have greatly increased our understanding of the developmental trajectories of brain connections and distributed systems. However, it remains unclear how the development of brain connectivity and networks contribute to the development of cognition, and how genetic factors, experience and environment shape connectivity and networks during development. The focus of this Research Topic will be on the relationship between development of brain connectivity and cognitive development, broadly defined.
Potential topics include, but are not limited to:
1) Brain connectivity and networks during different developmental stages (infancy, early childhood, mid/late childhood and adolescence), using one or more (i.e., multi-modal) imaging techniques such as structural MRI, diffusion MRI, resting-state fMRI, task-based fMRI, electroencephalography (EEG), magnetoencephalography (MEG), and near infra-red spectroscopy (NIRS).
We are seeking submissions that link brain measures with cognitive development and behavior, broadly defined. Submissions of longitudinal studies are especially encouraged. Examples of cognitive development include, but are not limited to development of: attention, executive functions, memory, decision making, language and speech, motor skills, sensory processing, reasoning, and emotion processing, as well as academic achievement.
2) Atypical brain connectivity and network development in children or adolescents with developmental disorders, mental disorders, or neurological disorders, or children or adolescents who are at risk of developing these disorders because of genetic or environmental factors.
3) Computation models on brain networks and cognitive development will also be welcome.
Types of articles that will be considered include original research reports, reviews and meta-analyses, and theoretical papers.
The human brain undergoes intricate and prolonged maturation processes that extend to late adolescence and beyond. The structural and functional changes of the brain underlie the immense development of cognition from early childhood to adulthood. Recent advances in brain imaging have made it possible to accurately measure and capture the development of brain connectivity and networks. These approaches are critical because cognition arises from coordinated activities across distributed brain regions. Studying the development of large-scale networks in the brain will lead to new insights and knowledge on how the brain supports cognitive development, which will also be crucial to advance our understanding of abnormal development and disorders.
Brain imaging research from the last few years have greatly increased our understanding of the developmental trajectories of brain connections and distributed systems. However, it remains unclear how the development of brain connectivity and networks contribute to the development of cognition, and how genetic factors, experience and environment shape connectivity and networks during development. The focus of this Research Topic will be on the relationship between development of brain connectivity and cognitive development, broadly defined.
Potential topics include, but are not limited to:
1) Brain connectivity and networks during different developmental stages (infancy, early childhood, mid/late childhood and adolescence), using one or more (i.e., multi-modal) imaging techniques such as structural MRI, diffusion MRI, resting-state fMRI, task-based fMRI, electroencephalography (EEG), magnetoencephalography (MEG), and near infra-red spectroscopy (NIRS).
We are seeking submissions that link brain measures with cognitive development and behavior, broadly defined. Submissions of longitudinal studies are especially encouraged. Examples of cognitive development include, but are not limited to development of: attention, executive functions, memory, decision making, language and speech, motor skills, sensory processing, reasoning, and emotion processing, as well as academic achievement.
2) Atypical brain connectivity and network development in children or adolescents with developmental disorders, mental disorders, or neurological disorders, or children or adolescents who are at risk of developing these disorders because of genetic or environmental factors.
3) Computation models on brain networks and cognitive development will also be welcome.
Types of articles that will be considered include original research reports, reviews and meta-analyses, and theoretical papers.