Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A neuroinformatics database system for disease-oriented neuroimaging research.

Stephen T C Wong1, Kent Soo Hoo, Xinhua Cao

  • 1Department of Neurology, Radiology, and Neurosurgery, University of California, San Francisco, CA, USA. stephen_wong@hms.harvard.edu

Academic Radiology
|March 24, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

RGCNN-nnUNet: Recurrent group equivariant nnU-Net for robust brain tissue segmentation on stroke NCCT.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

Quantitative second harmonic generation microscopy for characterizing collagen remodeling in papillary thyroid carcinoma.

Journal of biomedical optics·2026
Same author

iS2C2: a cointelligent platform for mechanistic discovery of disease cellular crosstalk.

Signal transduction and targeted therapy·2026
Same author

Obesity-driven phosphatidylethanolamine dysregulation impairs neuroimmune crosstalk and accelerates Alzheimer's pathogenesis.

Molecular neurodegeneration·2026
Same author

Disparities in breast cancer incidence and survival by age, race, and molecular subtype in US women.

NPJ breast cancer·2026
Same author

<i>Limosilactobacillus reuteri</i> alleviates proinflammatory T-cell-mediated liver injury and transcriptomic changes in immunocompromised mice.

Frontiers in immunology·2026

A new neuroinformatics database system (NIDS) improves management of diverse patient data for temporal lobe epilepsy research. This integrated system aids data retrieval, analysis, and supports future diagnostic discoveries.

Area of Science:

  • Neurology
  • Medical Informatics
  • Data Science

Background:

  • Clinical databases are expanding, presenting challenges in managing and analyzing diverse patient data, including images and reports.
  • Efficient retrieval and analysis of this data are crucial for clinicians and researchers, particularly those studying intractable temporal lobe epilepsy.

Purpose of the Study:

  • To describe the design and implementation of a novel neuroinformatics database system (NIDS).
  • To address the challenges of managing and analyzing complex patient data for temporal lobe epilepsy research.
  • To provide a foundation for hypothesis-driven research and the identification of new diagnostic predictors.

Main Methods:

  • Development of a secured, multi-tier neuroinformatics database system (NIDS).

Related Experiment Videos

  • Integration of data from multiple sources, enabling data gathering, proofreading, analysis, and storage.
  • Implementation of key functions: image analysis and processing, free text search, query construction, and online statistical analysis.

    • Main Results:

    • The NIDS facilitates efficient management and analysis of integrated image and non-image patient data.
    • The system supports advanced functionalities crucial for clinical research and patient care.
    • Establishment of a robust platform for future research into temporal lobe epilepsy.

    Conclusions:

    • The neuroinformatics database system (NIDS) effectively alleviates data management challenges in epilepsy research.
    • This integrated database serves as a foundation for uncovering new correlations and diagnostic predictors.
    • NIDS enhances the potential for hypothesis-driven research and improved patient diagnosis in neurology.