Sensitive of surface morphology with respect to Cortical Thickness

Dr. Rishabh Pathak

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.

 

Having a strong interest in research, I began my work as a physiotherapist and went on to earn a master's degree in the field, specializing in neurology. I also finished a few post-graduation diplomas in between and with persistence. Research has always been a passion of mine, both for the advancement of my career and my personal life. A major factor in reaching my goals is education. Although my first bachelor's thesis was in the innovation area, I had been exposed to research work even in my informal school days. I always like working on creative initiatives and taking an interest in other people's experiences. The saying, "Healthy criticism is a way to learn more and more about your flaws to make them rectified," is true, in my opinion. In this way, we may hone our abilities and create a growth-oriented vision for both our personal and professional career pathways. I am thus constantly willing to learn and advance in my work. Additionally, I think that "it is in our hands to terminate our lives with a brand-new ending if we are unable to originate our lives with a brand-new start."

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