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Related Concept Videos

Somatosensory, Motor, and Association Cortex01:24

Somatosensory, Motor, and Association Cortex

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The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at...
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Related Experiment Video

Updated: Jul 11, 2025

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
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Mapping the individual human cortex using multidimensional MRI and unsupervised learning.

Shinjini Kundu1,2, Stephanie Barsoum3, Jeanelle Ariza4

  • 1Department of Radiology, The Johns Hopkins Hospital, Baltimore, MD 21287, USA.

Brain Communications
|November 13, 2023
PubMed
Summary
This summary is machine-generated.

Researchers developed a new MRI technique to image human cortical layers, revealing layer-specific microstructural differences. This noninvasive method advances understanding of brain development and neurodevelopmental disorders.

Keywords:
cortical parcellationdiffusion–relaxationmachine learningmicrostructure imagingmultidimensional MRI

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Related Experiment Videos

Last Updated: Jul 11, 2025

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
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Area of Science:

  • Neuroimaging
  • Human Brain Anatomy
  • Machine Learning

Background:

  • Human cortical cytoarchitecture underpins cognitive abilities.
  • Cortical maldevelopment is linked to neurodevelopmental diseases.
  • Noninvasive imaging of cortical layers is currently unavailable.

Purpose of the Study:

  • To introduce a novel, noninvasive method for imaging human cortical lamina.
  • To address the gap in detailed cortical layer visualization.
  • To correlate microstructural features with cytoarchitecture.

Main Methods:

  • Combined diffusion-relaxation multidimensional MRI with unsupervised machine learning.
  • Developed an approach with enhanced microstructural sensitivity.
  • Validated the method using ex vivo MRI and postmortem Nissl staining.

Main Results:

  • Generated maps sensitive to areal differences in cytoarchitectonic features.
  • Revealed layer-specific diffusion-relaxation signatures.
  • Observed reductions in relaxation times and diffusivities at deeper cortical levels, suggesting myelin and cellular variations.

Conclusions:

  • The new MRI technique can visualize cortical layers and their microstructural variations.
  • Findings suggest radial decreases in myelin and changes in cell size/anisotropy.
  • This method offers potential for research in neurodevelopment and related disorders.