NeuroImage

Aims & Scope

NeuroImage, a Journal of Brain Function, provides a vehicle for communicating important advances in the use of neuroimaging to study structure-function and brain-behavior relationships.

Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if they provide advances that are of relevance to a systems-level understanding of the human brain.

The main criterion on which papers are judged for NeuroImage, is to what extent the scientific contribution helps advance our understanding of brain function, organization, and structure.

NeuroImage, also welcomes papers that explicitly address these questions in animal models or clinical populations.

Papers that do not contain significant methodological development, and whose major contribution is to use imaging to advance the understanding of pathology, abnormal development, use of biomarkers or other questions of clinical utility should be referred to NeuroImage: Clinical.

NeuroImage, publishes original research articles, papers on methods, models of brain function, as well as positions on contentious issues.

The journal strives to incorporate theoretical and technological innovations and is committed to publishing the highest quality papers in both print and electronic media.

The editors and the editorial board members come from highly diverse specialties, reflecting the fact that imaging neuroscience is a multi-disciplinary science.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science
• Medline
• Embase

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Neuroscience, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Neuroscience, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 3,450.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain

  Citation: 14426

  Authors: N., B., D., F., O., N., B., M.

• Advances in functional and structural MR image analysis and implementation as FSL

  Citation: 11779

  Authors: Stephen M., Mark, Mark W., Christian F., Timothy E.J., Heidi, Peter R., Marilena, Ivana, David E., Rami K., James, John, Yongyue, Nicola, J. Michael, Paul M.

• An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest

  Citation: 11764

  Authors: Rahul S., Florent, Bruce, Brian T., Bradford C., Deborah, Randy L., Anders M., R. Paul, Bradley T., Marilyn S., Ronald J.

• FSL

  Citation: 10444

  Authors: Mark, Christian F., Timothy E.J., Mark W., Stephen M.

• Complex network measures of brain connectivity: Uses and interpretations

  Citation: 9966

  Authors: Mikail, Olaf

• Cortical Surface-Based Analysis

  Citation: 9516

  Authors: Anders M., Bruce, Martin I.

• Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images

  Citation: 8591

  Authors: Mark, Peter, Michael, Stephen

• FreeSurfer

  Citation: 8480

  Authors: Bruce

• User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability

  Citation: 7546

  Authors: Paul A., Joseph, Heather Cody, Rachel Gimpel, Sean, James C., Guido

• A fast diffeomorphic image registration algorithm

  Citation: 7212

  Authors: John