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Intracranial EEG Reveals the Hidden Neural Architecture of Human Empathy: A New Perspective on Brain Network Dynamics

  Research Paper: Intracranial EEG Signals Disentangle Multi-Areal Neural Dynamics of Vicarious Pain Perception Authors: Huixin Tan, Xiaoyu Zeng, Jun Ni, Kun Liang, and colleagues Published: 2024 Journal: Nature Communications, Volume 15, Article 5203 DOI: https://doi.org/10.1038/s41467-024-49541-1 Introduction: How Does the Brain Experience Someone Else's Pain? Have you ever wondered why watching another person experience pain can generate an emotional response within your own brain? Why do we sometimes feel discomfort, sadness, or even pain when witnessing someone else's suffering? This phenomenon is known as empathy for pain , or vicarious pain perception. Empathy is one of the most sophisticated functions of the human nervous system. It involves the integration of sensory information, emotional processing, cognitive interpretation, and motivational responses. Although previous neuroimaging studies identified several brain regions associated with empathy, unders...

Sensitive of surface morphology with respect to Cortical Thickness

The sensitivity of surface morphology with respect to cortical thickness is a critical aspect in understanding the development and folding of the cerebral cortex. Here are some key points regarding the sensitivity of surface morphology to cortical thickness:


1.  Effect on Folding Patterns: The cortical thickness plays a significant role in determining the folding patterns of the cerebral cortex. Changes in cortical thickness can lead to alterations in the depth and complexity of cortical folds, influencing the overall surface morphology of the brain.


2.  Gyral Wavelength: Cortical thickness directly influences the gyral wavelength, which refers to the distance between adjacent cortical folds. Thicker cortices tend to have longer gyral wavelengths, resulting in smoother brain surfaces, while thinner cortices lead to shorter gyral wavelengths and increased cortical folding.


3.  Primary Folding: The primary folding of the cortex, characterized by the formation of gyri and sulci, is highly sensitive to variations in cortical thickness. Thicker cortices are associated with shallower folds, whereas thinner cortices exhibit more pronounced folding patterns.


4. Neurological Disorders: Abnormalities in cortical thickness can impact brain function and are associated with various neurological disorders. For example, conditions like lissencephaly (thickened cortex) and polymicrogyria (regionally thinned cortex) are linked to disruptions in cortical thickness and folding patterns.


5.     Surface-to-Volume Ratio: Changes in cortical thickness can affect the surface-to-volume ratio of the brain. Thicker cortices result in a smaller surface area relative to volume, while thinner cortices increase the surface area-to-volume ratio. These variations have implications for brain function and connectivity.


6.     Mechanical Properties: The mechanical properties of the cortex, such as stiffness and elasticity, interact with cortical thickness to influence surface morphology. Thicker cortices with different mechanical properties may exhibit distinct folding patterns compared to thinner cortices.


7.     Computational Modeling: Computational models can simulate the sensitivity of surface morphology to cortical thickness by varying this parameter and observing the resulting changes in cortical folding patterns. These models provide insights into how cortical thickness influences brain structure and function.


Understanding the sensitivity of surface morphology to cortical thickness is essential for elucidating the mechanisms underlying cortical folding and brain development. By investigating the relationship between cortical thickness and folding patterns, researchers can gain valuable insights into the factors shaping the complex structure of the cerebral cortex and their implications for brain function and pathology.

 

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