Aims & Scope
Brain Connectivity is an international neuroscience journal dedicated to the publication of innovative research, scientific reviews, and academic communications pertaining to all aspects of anatomical, functional, and causal connections between distinct units within the central nervous system.
Brain Connectivity coverage includes:
- The underlying mechanisms and influence on structural and functional connectivity behind normal brain function
- How different pathological substrate influence structural and functional connectivity in brain disorders
- Experimental techniques: magnetic resonance imaging (MRI), electroencephalography (EEG), magnetoencephalography (MEG), positron emission tomography (PET), single photon emission computed tomography (SPECT), microscopy, and other new and evolving methods
- Multimodal imaging in brain disorders
- Studies using both human and animal models
Under the editorial leadership of Editor-in-Chief Paul Edison, MD, PhD, FRCP, FRCPI Imperial College London, and other leading investigators, the journal will report original investigations in the areas of neuroscience, neurology, physics, biophysics, computer science, neuroinformatics, developmental biology, genetics, molecular biology, psychiatry, pharmacology, anesthesiology, cell biology, and brain anatomy relevant to the field of brain connectivity. View the entire editorial board.
Audience: Neuroscientists, biophysicists, medical physicists, neuroanatomists, neurologists, neurosurgeons, psychiatrists, psychologists, cognitive neuroscientists, mathematicians, statisticians, regenerative medicine researchers, developmental biologists, behavioural scientists, imaging scientists and computational biologists.
Submit Your Research
Since Brain Connectivity is an investigational journal, we strongly recommend that research reports contain experimental data. The articles will primarily be published in the form of original research articles, communications, and reviews with sub-categories including reports of original experimental data, methodological studies, novel data analysis schemes, theoretical data modelling, and descriptions of changes in brain connectivity in health and disease.
Articles describing the underlying mechanisms and structure behind brain connections will be given priority. Emphasis will be placed on the following experimental techniques:
- Magnetic resonance imaging (MRI)
- Positron emission tomography (PET)
- Magnetoencephalography (MEG)
- Single photon emission computed tomography (SPECT)
- Electroencephalogram (EEG) along with other imaging modalities
- Other new and evolving methods as applied to brain connectivity analysis
- Submission of multimodal examinations and integrations is encouraged
- Web of Science Emerging Sources Citation Index (ESCI)
- Current Contents®/Life Sciences
- Science Citation Index Expanded
- Journal Citation Reports/Science Edition
- EMBASE/Excerpta Medica
- ProQuest databases