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Related Concept Videos

Organization of the Brain01:30

Organization of the Brain

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The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
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Aging01:26

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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
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The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
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Updated: Jul 24, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Brain Network Organization and Aging.

Feng Sang1,2, Kai Xu1,2, Yaojing Chen3,4

  • 1State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, Beijing, China.

Advances in Experimental Medicine and Biology
|July 7, 2023
PubMed
Summary
This summary is machine-generated.

Brain network modeling offers new insights into neuroscience, exploring the human brain connectome. Researchers use imaging techniques like dMRI and fMRI to map brain structure and function networks.

Keywords:
Brain connectomeCognitive agingDefault mode networkWhite matter network

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Network Science

Background:

  • Understanding complex brain structure and function remains a challenge.
  • Network modeling provides a novel perspective for neuroscience research.
  • The concept of the human brain connectome emphasizes network approaches.

Purpose of the Study:

  • To review recent research progress in brain structure and function at the network level.
  • To highlight the importance of network modeling in neuroscience.
  • To explore various network modeling techniques and their applications.

Main Methods:

  • Diffusion-weighted magnetic resonance imaging (dMRI) and fiber tractography for white matter networks.
  • Functional magnetic resonance imaging (fMRI) for functional connection networks.
  • Structural covariation modeling for brain structure networks.

Main Results:

  • Network modeling enables the construction of comprehensive brain connectomes.
  • Different imaging modalities (dMRI, fMRI, PET, EEG, MEG) can be used for network analysis.
  • Structural covariation networks may reflect developmental coordination.

Conclusions:

  • Network-level analysis is crucial for understanding brain complexity.
  • Brain network modeling offers solutions to longstanding neuroscience problems.
  • This review summarizes advancements in network-based brain research.