Brain Connectivity A Journal of Clinical Neurology, Neuroscience, & Neuroimaging

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:

• Advances in neuroimaging using PET and MRI in Alzheimer’s disease, Parkinson’s disease and other neurodegenerative diseases
• Clinical translation of novel PET and MRI biomarkers in neurodegenerative diseases and Stroke
• How different pathological substrates influence structural and functional connectivity in brain disorders
• Multimodal imaging in brain disorders in both human and animal models
• Experimental techniques combining magnetic resonance imaging (MRI) (connectivity), electroencephalography (EEG), magnetoencephalography (MEG), positron emission tomography (PET), single photon emission computed tomography (SPECT), and other new and evolving methods

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
• Microscopy
• Other new and evolving methods as applied to brain connectivity analysis
• Submission of multimodal examinations and integrations is encouraged