The world's most-cited Neurosciences journals
Brain Imaging Methods is devoted to research methods and techniques, construed very broadly to include any imaging modality used to investigate brain structure or function in living humans or animals. This includes (but is not limited to) magnetic resonance imaging, electrical and magnetic recordings, positron emission tomography, and optical imaging techniques. Neuroimaging has become an essential tool for understanding the brain, and much of this leverage has come through novel techniques for data acquisition, image management, analysis and processing, and statistical modeling. Acquisition techniques have provided for increasingly fine spatial and temporal resolution, as well as providing completely novel contrast mechanisms. Image processing tools have provided the ability to spatially align brains with increasing accuracy, and to remove artifacts that would previously have made data uninterpretable. Statistical analysis tools have provided the means to predict mental states from neuroimaging data with high accuracy, and to integrate increasingly sophisticated computational models of brain function with the modeling of neuroimaging data. As the field matures, techniques are being adopted from other areas of computational and biomedical science that will continue to advance the power of neuroimaging techniques.
Brain Imaging Methods welcomes submissions on the development, improvement, assessment, and validation of methods for the acquisition, management, analysis or interpretation of neuroimaging data. Brain Imaging Methods will also publish didactic reviews, and has a strong commitment to the reproducibility of science as well as education in the field of neuroimaging.
Inclusion of Human Neuroimaging Data:
In accordance to The Belmont Report, which provides the framework for human subjects research, researchers have a duty to both reduce potential harm to subjects as well as maximize the possible benefits of the research to society. The latter is facilitated by public sharing of data. In terms of human neuroimaging data we recommend depositing anonymized data in one of the databases appropriate for its nature:
- task based fMRI studies should be submitted to OpenfMRI.org or eqivalent database,
- any studies involving statistical maps of the human brain (MRI, PET, or source localized EEG/MEG) should deposit unthresholded versions of those maps in NeuroVault.org or equivalent database.
Indexed in: PubMed, PubMed Central, Scopus, Web of Science, Google Scholar, DOAJ, CrossRef, PsycINFO, Chemical Abstracts Service (CAS), EMBASE, Semantic Scholar, Ulrich's Periodicals Directory, CLOCKSS, EBSCO, OpenAIRE, Zetoc
PMCID: all published articles receive a PMCID
Brain Imaging Methods welcomes submissions of the following article types: Brief Research Report, Case Report, Clinical Trial, Community Case Study, Correction, Curriculum, Instruction, and Pedagogy, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Specialty Grand Challenge, Systematic Review and Technology and Code.
All manuscripts must be submitted directly to the section Brain Imaging Methods, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Articles published in the section Brain Imaging Methods will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in all Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community across all of Neuroscience.
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