This journal focuses on the application of computational methods, including machine learning and artificial intelligence, to analyze neuroimaging data for understanding brain structure, function, and disease. Research includes developing automated tools for diagnosis, prognosis, and monitoring of neurological conditions using modalities like MRI, EEG, and CSF multi-omics. The scope also encompasses the development and evaluation of novel algorithms for image processing, data augmentation, and methodological assessment in neuroscience research.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Health Information ManagementQ1
Health InformaticsQ2
Neuroscience (miscellaneous)Q2
Subject Classification
Scopus Categories
Neuroscience (miscellaneous)Health Information ManagementHealth Informatics
Research Topics (OpenAlex)
EEG and Brain-Computer InterfacesFunctional Brain Connectivity StudiesBrain Tumor Detection and ClassificationDiverse Scientific and Economic StudiesHuman auditory perception and evaluationEducational Robotics and EngineeringIntracranial Aneurysms: Treatment and ComplicationsAdvanced Neural Network ApplicationsEpilepsy research and treatmentAcute Ischemic Stroke Management