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<p><b>New page</b></p><div>{{Short description|A visual representation of brain connectivity}}<br />
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== Connectogram ==<br />
A '''connectogram''' is a circular diagram used to represent the structural and functional connections within the brain. It is a tool used in [[neuroscience]] to visualize the complex network of [[neural pathways]] and [[brain regions]]. Connectograms are particularly useful in the study of [[connectomics]], which is the field focused on mapping the [[connectome]], the comprehensive map of neural connections in the brain.<br />
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[[File:ConnectogramExample.tif|Example of a connectogram|thumb|right]]<br />
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== Structure ==<br />
A connectogram typically consists of a circular layout where different [[brain regions]] are represented along the circumference. These regions are often defined based on a [[brain parcellation]] scheme, which divides the brain into distinct areas. The connections between these regions are depicted as lines or arcs within the circle, with the thickness or color of the lines indicating the strength or type of connection.<br />
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The outermost ring of a connectogram may include additional information about each brain region, such as its [[cortical thickness]], [[surface area]], or other anatomical properties. This allows for a comprehensive view of both the structural and functional aspects of the brain.<br />
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[[File:ParcellationBrains.jpg|Brain parcellation used in connectograms|thumb|left]]<br />
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== Applications ==<br />
Connectograms are used in various applications within neuroscience and [[neurology]]. They can help in understanding the [[functional connectivity]] of the brain, identifying abnormalities in [[neurological disorders]], and tracking changes in brain connectivity over time. For example, connectograms can be used to study the effects of [[traumatic brain injury]], [[stroke]], or [[neurodegenerative diseases]] like [[Alzheimer's disease]].<br />
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In clinical settings, connectograms can assist in [[pre-surgical planning]] by providing a detailed map of a patient's brain connectivity, helping to avoid critical areas during surgery.<br />
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== Historical Context ==<br />
The concept of mapping brain connectivity has evolved significantly over time. Early studies focused on individual connections, but advances in [[neuroimaging]] techniques, such as [[diffusion tensor imaging]] (DTI) and [[functional MRI]] (fMRI), have enabled the visualization of complex networks within the brain.<br />
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[[File:Phineas_Gage's_Damage.jpeg|Phineas Gage's brain damage, an early case study in brain connectivity|thumb|right]]<br />
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== Visualization Techniques ==<br />
Creating a connectogram involves several steps, including data acquisition, processing, and visualization. Data is typically obtained from neuroimaging studies, and specialized software is used to process and visualize the connections. The choice of visualization parameters, such as color schemes and line thickness, can significantly affect the interpretation of the connectogram.<br />
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[[File:Double_Connectogram.png|Double connectogram showing different connectivity patterns|thumb|left]]<br />
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== Challenges and Limitations ==<br />
While connectograms provide valuable insights into brain connectivity, they also have limitations. The accuracy of a connectogram depends on the quality of the underlying data and the methods used for data processing. Additionally, the interpretation of connectograms requires expertise in both neuroscience and data visualization.<br />
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== Related Pages ==<br />
* [[Connectome]]<br />
* [[Neuroimaging]]<br />
* [[Functional connectivity]]<br />
* [[Brain mapping]]<br />
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[[Category:Neuroscience]]<br />
[[Category:Neuroimaging]]<br />
[[Category:Brain]]</div>Prab