Brain Dynamics and Connectivity from Birth through Adulthood
A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Developmental Neuroscience".
Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 20516
Special Issue Editor
Interests: brain imaging; computational modelling of brain dynamics; functional and structural connectivity analysis of brain networks; epilepsy; ADHD; stroke; Alzheimers
Special Issue Information
Dear Colleagues,
In the past decade, neuroimaging studies have shifted from examining individual brain regions towards examining the whole brain as an integrative complex network of functionally segregated regions linked together to give rise to coherent perception, cognition and action. Analysis of the human connectome has gained special interests among neuroscientists studying brain network function and development. In a wide variety of neurological and neuropsychological disorders, network disruption has been shown to better provide deeper insights into the topological patterns underlying neurocognitive dysfunctions. This special issue aims at presenting the latest findings on brain functions, structure and cognition with a particular emphasis on functional and structural connectivity in neurodevelopmental and aging groups.
Submissions are welcome for our upcoming special issue on “Brain Dynamics and Connectivity from Birth through Adulthood” aiming at offering the scientific community a unique opportunity to gain better insights into the cross link between the results of neuroimaging and brain network analyses in typically developping childrean and healthy aging subjects as well as in a variety of neurological/neuropsychological disorders. This special issue will accept original researchs, methods, short reports and review papers that are not substantially similar to works published elsewhere. All articles will be peer-reviewed to international journal standard.
Our topics of interest include (but are not limited to):
- Invasive/non-invasive brain imaging;
- Clinico-anatomical correlation studies;
- Multimodal imaging;
- Task-based/resting state functional connectivity (EEG, MEG, fMRI, fNIRS);
- Structural connectivity (DWI);
- Multimodal/multiscale brain connectivity analysis;
- Data-driven and model based brain connectivity analysis;
- Application of machine learning to structural and functional connectome mapping.
Study populations (but are not limited to):
- Typically developing children and healthy aging populations;
- Patients with neurological/neuropsylogical diorders such as epilepsy, stroke and Alzheimers;
- Children with neurodevelopmental disorders including ADHD and Autism.
Dr. Ardalan Aarabi
Guest Editor
Manuscript Submission Information
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Keywords
- Brain Imaging
- Brain Network Analysis
- Neurological and Neuropsychological Disorders
- Neurodevelopment and Aging Brain
- Task-Based
- Resting-State
- Cognitive Performance
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