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Related Concept Videos

Neurons as Communicators of the Brain01:22

Neurons as Communicators of the Brain

Neurons, the fundamental units of the brain and nervous system, function as the primary transmitters of information throughout the body. Their ability to communicate through electrical and chemical signals is vital for every bodily function, from regulating the heartbeat to processing complex thoughts. Each neuron has three main components: the cell body (soma), dendrites, and an axon, each specialized to facilitate swift and efficient neural communication.
Cell Body
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Empathy02:34

Empathy

Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor.
Neurogenesis and Regeneration of Nervous Tissue01:15

Neurogenesis and Regeneration of Nervous Tissue

In the CNS, neurogenesis, the birth of new neurons from stem cells, is limited to the hippocampus in adults. In other regions of the brain and spinal cord, neurogenesis is almost non-existent due to inhibitory influences from neuroglia, especially oligodendrocytes, and the absence of growth-stimulating cues. The myelin produced by oligodendrocytes in the CNS inhibits neuronal regeneration. Furthermore, astrocytes proliferate rapidly after neuronal damage, forming scar tissue that physically...
Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Related Experiment Video

Updated: May 16, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
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Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

Text-mining and neuroscience.

Kyle H Ambert1, Aaron M Cohen

  • 1Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA. ambertk@ohsu.edu

International Review of Neurobiology
|December 1, 2012
PubMed
Summary
This summary is machine-generated.

Neuroinformatics offers computational tools to manage the vast data generated in neuroscience research. This review highlights recent advancements in text-based neuroinformatics resources and their practical applications for scientists.

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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

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Area of Science:

  • Neuroscience
  • Bioinformatics
  • Computational Biology

Background:

  • Neuroscience research generates extensive and diverse data, posing challenges for information retrieval and interdisciplinary communication.
  • The increasing volume of neuroscientific literature necessitates efficient methods for data management and analysis.
  • Traditional literature review is time-consuming and hinders researchers' ability to stay abreast of advancements across subdomains.

Purpose of the Study:

  • To review recent developments in neuroinformatics tools for managing textual data in neuroscience.
  • To demonstrate the utility of these digital resources for bench neuroscientists.
  • To highlight practical use cases for leveraging neuroinformatics in research.

Main Methods:

  • Review of recent literature on neuroinformatics and text-mining tools.
  • Identification and categorization of computational resources for neuroscience data.
  • Case study examples illustrating the application of these tools.

Main Results:

  • Several recent advancements in neuroinformatics tools have been identified.
  • These tools facilitate the processing and analysis of textual data in neuroscience.
  • Demonstrated use cases show how these resources can aid researchers in accessing and utilizing information.

Conclusions:

  • Neuroinformatics provides essential computational tools to navigate the complex landscape of neuroscience data.
  • Recent developments in text-based resources offer significant advantages for researchers.
  • Adoption of these tools can enhance research efficiency and discovery in neuroscience.