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

Neuroscience databases: tools for exploring brain structure-function relationships.

R Kötter1

  • 1C. & O.Vogt Brain Research Institute, and Institute of Morphological Endocrinology and Histochemistry, Heinrich-Heine-Universität, Moorenstrasse 5, D-40225 Düsseldorf, Germany. rk@hirm.uni-duesseldorf.de

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|September 8, 2001
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

Virtual brain transplantation (VBT): a method for accurate image registration and parcellation in large cortical stroke.

Archives italiennes de biologie·2010
Same author

[Workplace health promotion in network structures - the Erlangen Model of "enterprises in motion"].

Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))·2009
Same author

The effects of physiologically plausible connectivity structure on local and global dynamics in large scale brain models.

Journal of neuroscience methods·2009
Same author

Cortical network dynamics with time delays reveals functional connectivity in the resting brain.

Cognitive neurodynamics·2008
Same author

Noise during rest enables the exploration of the brain's dynamic repertoire.

PLoS computational biology·2008
Same author

Morphology, electrophysiology and functional input connectivity of pyramidal neurons characterizes a genuine layer va in the primary somatosensory cortex.

Cerebral cortex (New York, N.Y. : 1991)·2005
Same journal

The microlandscapes of tree trunks: the effect of lichen and tree-level characteristics on arthropod communities.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2026
Same journal

Centimetre-scale landscapes to assess the motion behaviour and cognition of gastropods and bivalves.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2026
Same journal

Intertidal microcosms of wave-swept rocky shores: ecological and physiological insights from a uniquely stressful environment.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2026
Same journal

Temporal and spatial variation in temperature and oxygen at the microscale: key niche axes for aquatic life.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2026
Same journal

Natural microcosms in ecology: fulfilling the promise of model systems?

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2026
Same journal

Microbe-induced galls and plant defence: metabolite crosstalk in a co-evolutionary battle.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2026
See all related articles

Neuroscience data integration requires advanced neuroinformatics. This paper reviews challenges and methods for analyzing complex brain data, focusing on structure-function relationships.

Area of Science:

  • Neuroscience
  • Neuroinformatics

Background:

  • Neuroscience research generates vast, complex, and distributed datasets.
  • Existing data requires cross-referencing, comparison, integration, and interpretation to understand brain mechanisms.

Purpose of the Study:

  • To provide an overview of current issues in neuroscience data representation, integration, and analysis.
  • To emphasize integrative neuroinformatics approaches for exploring brain structure-function relationships.

Main Methods:

  • Review of current challenges in managing diverse neuroscience data.
  • Discussion of neuroinformatics methodologies for databases and tools.
  • Focus on integrative approaches for structure-function analysis.

Main Results:

Related Experiment Videos

  • Emerging neuroinformatics methodologies address data complexity.
  • Key issues include data representation, integration, analysis, standardization, management, quality control, copyright, confidentiality, and acceptance.
  • Integrative neuroinformatics is crucial for exploring brain structure-function relationships.

Conclusions:

  • Advanced neuroinformatics is essential for managing and interpreting large-scale neuroscience data.
  • Addressing implementation, standardization, and ethical issues is critical for progress.
  • Integrative approaches offer powerful tools for understanding brain mechanisms.