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Anatomy of the Brain: Major Regions

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The brain is the most complex organ in the human body. It consists of four main parts: the cerebrum, diencephalon, cerebellum, and brainstem.
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Hindbrain
The hindbrain, located at the base of the brain, plays a vital role in regulating automatic processes that sustain life. It includes the medulla oblongata, which is essential for...

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Related Experiment Video

Updated: May 31, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Exploring brain function from anatomical connectivity.

Gorka Zamora-López¹, Changsong Zhou, Jürgen Kurths

¹Bernstein Center for Computational Neuroscience Berlin, Germany.

Frontiers in Neuroscience

|July 8, 2011

Summary

This summary is machine-generated.

Brain architecture, analyzed using complex network analysis, reveals modular organization and hubs. This structure supports diverse sensory processing and integration, suggesting universal principles across species.

Keywords:

brain connectivity connectome cortical hubs cortical networks hierarchical networks integration segregation

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

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Published on: November 8, 2012

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Published on: October 13, 2023

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Published on: February 15, 2021

Area of Science:

Neuroscience
Computational Neuroscience
Systems Neuroscience

Background:

The relationship between brain architecture and observable behaviors is a key neuroscience question.
Anatomical connectivity provides insights into how the brain processes information.

Purpose of the Study:

To review current knowledge on brain anatomical connectivity using complex network analysis.
To classify cortical areas based on their role in multisensory connectivity.
To explore the link between brain network properties and functional capabilities.

Main Methods:

Complex network analysis of anatomical connectivity data.
Review of recent neuroscience literature.
Classification of cortical areas in the cat brain based on multisensory roles.

Main Results:

Cortico-cortical networks exhibit modular organization, abundant alternative processing paths, and highly connected hubs.
A novel classification of cat cortical areas based on multisensory connectivity was developed.
These network properties provide a substrate for complex dynamical behaviors and sensory integration.

Conclusions:

The identified brain network properties support the brain's capacity for segregated sensory processing and integrated perception.
Fundamental principles of brain organization appear conserved across diverse animal species, from worms to humans.