2014 Project Week:BrainAging - Revision history

Andrei: /* Project Description */

2014-01-10T06:10:49Z

Project Description

Andrei at 06:04, 10 January 2014

2014-01-10T06:04:18Z

Andrei at 06:04, 10 January 2014

2014-01-10T06:04:01Z

Andrei at 20:06, 10 December 2013

2013-12-10T20:06:38Z

Andrei: Created page with 'NOTOC Image:PW-SLC2014.png|Projects List ==Key Investigators== Name, Institute ==Project Description==

2013-12-10T19:46:45Z

Created page with 'NOTOC <gallery> Image:PW-SLC2014.png|Projects List </gallery> ==Key Investigators== Name, Institute ==Project Description== <div sty…'

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Image:PW-SLC2014.png|[[2014_Winter_Project_Week#Projects|Projects List]]
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==Key Investigators==

Name, Institute

==Project Description==

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<h3>Objective</h3>
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<h3>Approach, Plan</h3>
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<h3>Progress</h3>
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 * Brain connectivity loss due to traumatic brain injury, stroke or multiple sclerosis can have serious consequences on life quality and a measurable impact upon neural and cognitive function.
 * Though brain network properties are known to be affected disproportionately by traumatic brain injury to certain gray matter regions, the manner in which white matter insults affect such properties remains poorly understood
-* In this project, we seek to combine network-theoretic analysis with 3D Slicer analysis in order to identify the subset of macroscopic neural connections in the adult human brain which are particularly sensitive to network lesioning
+* In this project, we seek to use 3D Slicer as a tool for identifying the subset of macroscopic neural connections in the adult human brain which are particularly sensitive to network lesioning, and which lead to accelerated aging of the human brain
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 <h3>Approach, Plan</h3>
 * MRI and DTI volumes will be co-registered in 3D Slicer before further analysis
-* connectivity matrices will be computed, pooled across subjects and averaged to compute probabilistic connectivity values
+* connectivity will be analyzed using 3D Slicer tractography tools
-* Slicer will be used to record the average length of the fibers connecting every pair of brain regions
+* a multivariate regression model will be implemented to understand which brain connections can be used as biomarkers of effective brain age
+*
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 <h3>Progress</h3>
 * we have used 3D Slicer to assist the analysis of TBI effects upon brain connectivity
-* we found that certain portions of the paracentral lobule and
+* we found that the integrity of WM connections which innervate the paracentral lobule, postcentral sulcus and parieto-occipital sulcus can be used as biomarkers of effective brain age
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-Image:aging-1.png|[[2014_Winter_Project_Week#Projects|Brain regions with connectivity predictive of effective brain age]]
+Image:aging-1.jpg|[[2014_Winter_Project_Week#Projects|Brain regions with connectivity predictive of effective brain age]]
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 ==Key Investigators==
-Name, Institute
+Andrei Irimia, PhD (Institute for Neuroimaging and Informatics, University of Southern California)
 ==Project Description==
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 <div style="width: 27%; float: left; padding-right: 3%;">
 <h3>Objective</h3>
+* Brain connectivity loss due to traumatic brain injury, stroke or multiple sclerosis can have serious consequences on life quality and a measurable impact upon neural and cognitive function.
 </div>
 <div style="width: 27%; float: left; padding-right: 3%;">
 <h3>Approach, Plan</h3>
+*
 </div>