Difference between revisions of "2016 Summer Project Week/Structural-functional measurements"
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==Key Investigators== | ==Key Investigators== | ||
| + | * Yannick Suter | ||
* Lauren J. O'Donnell | * Lauren J. O'Donnell | ||
| − | |||
==Project Description== | ==Project Description== | ||
| + | [[File:AF_left_fMRI_lines.png|thumb|center|upright=2.0|Left AF tracts with putative Broca and Wernicke's areas (yellow) with T2 image in the background. ]] | ||
<div style="margin: 20px;"> | <div style="margin: 20px;"> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Objective</h3> | <h3>Objective</h3> | ||
* Tractography data and language fMRI activations are available for 10 neurosurgical patients and in the connectome dataset. We are evaluating different distance measurements between the fMRI activations and fiber tracts to find structural-functional relationships. | * Tractography data and language fMRI activations are available for 10 neurosurgical patients and in the connectome dataset. We are evaluating different distance measurements between the fMRI activations and fiber tracts to find structural-functional relationships. | ||
| − | * Evaluate different structural-functional measurements (e.g. tract | + | * Evaluate different structural-functional measurements (e.g. tract endpoints in fMRI activations / tracts passing through / within a distance threshold). |
* Find tracts that are related to language across patients. | * Find tracts that are related to language across patients. | ||
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<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Progress</h3> | <h3>Progress</h3> | ||
| − | * | + | * Computed distances with different methods for patient dataset |
| + | * Evaluated concurrence for measurement methods across patients | ||
| + | * Improved distance measurement with line interpolation, added line end segment instead of using only fiber endpoints, reduced the influence of outlier fibers | ||
</div> | </div> | ||
</div> | </div> | ||
Latest revision as of 06:15, 25 June 2016
Home < 2016 Summer Project Week < Structural-functional measurementsKey Investigators
- Yannick Suter
- Lauren J. O'Donnell
Project Description
Objective
- Tractography data and language fMRI activations are available for 10 neurosurgical patients and in the connectome dataset. We are evaluating different distance measurements between the fMRI activations and fiber tracts to find structural-functional relationships.
- Evaluate different structural-functional measurements (e.g. tract endpoints in fMRI activations / tracts passing through / within a distance threshold).
- Find tracts that are related to language across patients.
Approach, Plan
- Before Project Week:
- Run distance measurement for patient data with language fMRI activations
- During Project Week:
- Evaluate distance measurements
- Find suitable statistics to evaluate measurements.
- Improve distance measurement (e.g. line interpolation)
- Find fiber tracts that are related to language across patients
- If this works well, apply this method to some patients from the connectome dataset.
Progress
- Computed distances with different methods for patient dataset
- Evaluated concurrence for measurement methods across patients
- Improved distance measurement with line interpolation, added line end segment instead of using only fiber endpoints, reduced the influence of outlier fibers
