NeuroImage

NeuroImage
Title	NeuroImage
Discipline	Neuroimaging, Neuroscience
Abbreviation	NeuroImage
Publisher	Elsevier
Country	United Kingdom
History	1990–present
Frequency	Biweekly
Issn	1053-8119

NeuroImage NeuroImage is a peer-reviewed scientific journal focusing on brain imaging research, clinical applications, and methodological innovation. It publishes articles on structural and functional imaging, computational modelling, and imaging biomarkers that bridge laboratory investigations and clinical practice. Leading authors, institutions, and funding agencies regularly contribute work that informs neuroscience, neurology, psychiatry, radiology, and cognitive science communities.

Overview

NeuroImage features original research, reviews, methods papers, and special issues connecting laboratories such as Massachusetts Institute of Technology, Stanford University, University College London, Harvard University, and University of Oxford with clinical centres like Mayo Clinic, Johns Hopkins Hospital, Karolinska Institute, Mount Sinai Hospital, and Cleveland Clinic. The journal highlights collaborations among investigators affiliated with agencies including National Institutes of Health, Wellcome Trust, European Research Council, Canadian Institutes of Health Research, and NIH. Editorial leadership has included scholars from University of California, Los Angeles, Columbia University, University of Pennsylvania, McGill University, and University of Cambridge.

History and Development

Launched in 1990, the journal emerged amid advances at laboratories such as Massachusetts General Hospital and technical innovations from companies like Siemens, GE Healthcare, and Philips Healthcare. Early editors coordinated thematic issues drawing on conferences such as Society for Neuroscience annual meetings, Organization for Human Brain Mapping workshops, and symposia at Cold Spring Harbor Laboratory. Growth paralleled methodological milestones from pioneers like Karl Friston, Marcus Raichle, Rita Levi-Montalcini, Michael Posner, and David Van Essen, and the adoption of standards promoted by consortia including the Human Connectome Project and Alzheimer's Disease Neuroimaging Initiative.

Scope and Impact

The journal covers work produced at universities and institutes including Yale University, Princeton University, ETH Zurich, Technical University of Munich, and University of Toronto. Papers often cite datasets from projects such as UK Biobank, ADNI, HCP, Human Brain Project, and multi-site trials coordinated with institutions like National Institute of Mental Health and European Molecular Biology Laboratory. NeuroImage articles influence guidelines from professional bodies including American College of Radiology, World Health Organization, European Society of Radiology, American Psychiatric Association, and standards committees at International Organization for Standardization.

Publication and Editorial Practices

The journal is published by Elsevier with editorial boards composed of researchers from institutions such as Imperial College London, Duke University, University of Melbourne, Karolinska Institutet, and University of Zurich. It implements peer review workflows used in conjunction with initiatives like COPE and reporting guidelines inspired by PRISMA and ARRIVE where applicable. Special issues have been guest-edited by leaders affiliated with Broad Institute, Salk Institute, RIKEN, Max Planck Society, and Fred Hutchinson Cancer Research Center. Editorial policies reflect concerns raised by funders including National Science Foundation and Wellcome Trust about data sharing, reproducibility, and open science.

Methods and Modalities Covered

NeuroImage publishes methodological developments in techniques originating from laboratories at University of California, Berkeley, McMaster University, Johns Hopkins University, New York University, and University of Pittsburgh. Modalities include advances in magnetic resonance imaging instruments from Siemens and GE Healthcare, positron emission tomography studies using radiochemistry groups at Brookhaven National Laboratory and Lawrence Berkeley National Laboratory, diffusion imaging linked to work by Denis Le Bihan and Peter Basser, electrophysiology integrated with research at Massachusetts Institute of Technology and University of Illinois Urbana-Champaign, and multimodal integration across platforms developed at Caltech and Scripps Research. Analytical frameworks reported draw on statistics influenced by scholars at Carnegie Mellon University, University of Michigan, University of Edinburgh, Princeton University, and machine learning contributions from Google DeepMind, OpenAI, and academic groups at University of Oxford.

Criticisms and Controversies

The journal has faced scrutiny in debates involving reproducibility championed by groups at Stanford University and University of Pennsylvania, concerns about commercial publisher practices raised by advocates at Public Library of Science and Scholarly Publishing and Academic Resources Coalition, and disputes over image-processing standards discussed at meetings of Organization for Human Brain Mapping and panels convened by National Academies of Sciences, Engineering, and Medicine. Controversies have included disputes over statistical thresholds highlighted by researchers such as Lisa M. Vega and Christopher Rorden, tensions about open data policies echoed by Danielle Bassett and Tal Yarkoni, and ethical debates concerning clinical translation involving committees from World Medical Association and regulatory interactions with European Medicines Agency and U.S. Food and Drug Administration.

Category:Neuroscience journals