Frontiers in Neuroimaging is a multidisciplinary journal focused on expanding research on the physiological principles underlying typical and atypical brain functions to decrease the global burden of brain disorders.

Led by Prof Francisco Xavier Castellanos Grossman (School of Medicine, New York University New York, USA) and Pedro Antonio Valdes-Sosa (University of Electronic Science and Technology of China, China), Frontiers in Neuroimaging aims to advance research on the emerging role brain imaging plays in neuroscience.

Topics include, but are not limited to:

brain imaging methods
clinical neuroimaging
computational neuroimaging
neuroimaging analysis and protocols
neuroimaging meta-analyses
neuroimaging and neuromodulation
neuroimaging for cognitive neuroscience
perception and attention neuroimaging
population neuroimaging
social and affective neuroimaging.

In particular, the journal welcomes submissions which support and advance the UN’s Sustainable Development Goal (SDG), notably 9: good health and Well-being, promoting our understanding of brain health.

Frontiers’ journals require that manuscripts primarily comprising computational studies of public data, must include appropriate validation. Please refer to the Frontiers Standards for research methodology policy, for more information. Manuscripts not adhering to these standards will not be considered.

Frontiers in Neuroimaging is committed to deepening our understanding of population neuroimaging. This can be achieved through in-depth understanding of studies across extensive cohorts to enhance cross-level integration from neuroimaging-based systems and more. It aims to do so by allowing unrestricted access to articles, and communicating scientific knowledge to researchers and the public alike, to enable the scientific breakthroughs of the future.

Impact

Frontiers in Neuroimaging

Neuroimaging Analysis and Protocols

Computational Neuroimaging

Brain Imaging Methods

Neuroimaging for Cognitive Neuroscience

Participating Journals

Frontiers in Neuroscience

Brain Imaging Methods