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Related Concept Videos

Anatomy of the Brain: Major Regions01:20

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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.
The cerebrum is the largest section of the brain and divides into left and right hemispheres, separated by a deep fissure. The cerebral outer layer of grey matter — the cerebral cortex — comprises elevations called gyri and shallow groves called sulci. The inner portion of white matter includes long nerve fibers known as axons, which connect...
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There are hollow fluid-filled cavities known as ventricles deep inside the human brain. There are two lateral ventricles, one in each cerebral hemisphere, and each has three different projections — the anterior, inferior, and posterior horns visible from the lateral side. A thin membrane called the septum pellucidum separates the two lateral ventricles. The slender third ventricle in the diencephalon is connected to each lateral ventricle via a channel called the interventricular foramen.
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Related Experiment Video

Updated: Mar 7, 2026

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Mindboggling morphometry of human brains.

Arno Klein1, Satrajit S Ghosh2,3, Forrest S Bao4

  • 1Child Mind Institute, New York, New York, United States of America.

Plos Computational Biology
|February 24, 2017
PubMed
Summary

Mindboggle is an open-source platform for brain morphometry, offering detailed shape analysis from MRI data. This comprehensive tool aids in identifying biomarkers for mental health disorders.

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Three-Dimensional Shape Modeling and Analysis of Brain Structures
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Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Medical Image Analysis

Background:

  • Brain morphometry is crucial for understanding neurological and mental health disorders.
  • Existing software often lacks comprehensive shape analysis beyond volume and thickness.
  • Subtle shape variations may offer more sensitive biomarkers for disease detection and progression.

Purpose of the Study:

  • To document and demonstrate the capabilities of the Mindboggle open-source brain morphometry platform.
  • To showcase Mindboggle's extensive analysis of human brain shape variation in healthy and diseased populations.
  • To highlight the potential of advanced morphometric measures for developing new diagnostic and prognostic tools.

Main Methods:

  • Utilized preprocessed T1-weighted MRI data as input.
  • Employed Mindboggle to compute a wide array of surface-based shape measures (e.g., area, volume, thickness, curvature, Laplace-Beltrami spectra, Zernike moments).
  • Evaluated Mindboggle's algorithms against state-of-the-art methods using the largest publicly available dataset of manually labeled brain images.

Main Results:

  • Conducted the largest and most detailed shape analysis of human brains to date.
  • Demonstrated Mindboggle's capacity to provide comprehensive label, feature, and shape information.
  • Confirmed the public availability of all data, code, and evaluation results.

Conclusions:

  • Mindboggle provides a powerful, open-source platform for advanced brain morphometry.
  • The platform's detailed shape analysis has significant potential for identifying novel biomarkers in mental health disorders.
  • Publicly accessible data and code facilitate reproducibility and further research in the field.