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== Eni ==
== Eni ==


A comparative study of cognitive functioning and fiber tract integrity
'''A Comparative Study of Cognitive Functioning and Fiber Tract Integrity'''


Contributions:
Contributions:
* The paper presents a twofold comparison of cognitive test results and white mater integrity in specific fiber tracts of CADASIL patients by:
 
The paper presents a twofold comparison of cognitive test results and white matter integrity, in specific fiber tracts of CADASIL patients, by:
I.Comparing working memory test results with several quantitative tractography metrics of structural integrity in the SLF and the fornix  
I.Comparing working memory test results with several quantitative tractography metrics of structural integrity in the SLF and the fornix  
II.Comparing motor control test results with the same metrics, in the SLF
II.Comparing motor control test results with the same metrics, in the SLF
** The paper draws on the relationship between axial and radial diffusivities and the nature of axonal damage to infer the prevalent type of damage in tracts affected by CADASIL
 
The paper draws on the relationship between axial or radial diffusivity and the nature of axonal damage, to infer the prevalent type of damage in tracts affected by CADASIL


Results:
Results:
*
 
I. Working memory test results should correlate with most metrics, in the SLF. They should not however correlate as much with the metrics, in the fornix, since CADASIL affects SLF more drastically than it affects the fornix.
I. Working memory test results should correlate with most metrics, in the SLF. They should not however correlate as much with the metrics, in the fornix, since CADASIL affects SLF more drastically than it affects the fornix.
II. In the SLF, motor control test results should not correlate with the metrics as well as the working memory test results do.
II. In the SLF, motor control test results should not correlate with the metrics as highly as the working memory test results do.
**
 
Among the metrics, there should be a few that correlate more significantly than others with the cognitive test result. These correlations should provide clues abut the type of damage CADASIL causes. Also, they will potentially group the best metrics to use for the assessment of tract integrity in CADASIL patients.
Among the metrics, there should be a few that correlate more significantly than others with the cognitive test result. These correlations should provide clues abut the type of damage that CADASIL causes. Also, they will potentially bring out the most effective metrics for the assessment of white matter integrity in CADASIL patients.


== Trevor ==
== Trevor ==

Revision as of 22:06, 2 February 2009

Eni

A Comparative Study of Cognitive Functioning and Fiber Tract Integrity

Contributions:

The paper presents a twofold comparison of cognitive test results and white matter integrity, in specific fiber tracts of CADASIL patients, by: I.Comparing working memory test results with several quantitative tractography metrics of structural integrity in the SLF and the fornix II.Comparing motor control test results with the same metrics, in the SLF

The paper draws on the relationship between axial or radial diffusivity and the nature of axonal damage, to infer the prevalent type of damage in tracts affected by CADASIL

Results:

I. Working memory test results should correlate with most metrics, in the SLF. They should not however correlate as much with the metrics, in the fornix, since CADASIL affects SLF more drastically than it affects the fornix. II. In the SLF, motor control test results should not correlate with the metrics as highly as the working memory test results do.

Among the metrics, there should be a few that correlate more significantly than others with the cognitive test result. These correlations should provide clues abut the type of damage that CADASIL causes. Also, they will potentially bring out the most effective metrics for the assessment of white matter integrity in CADASIL patients.

Trevor

Tentative Title(s):

Extracting Semantic Content from Interaction Histories in 3D, Time-varying Visualizations
Interaction Histories for Collaboration, Search, and Prediction in 3D, Time-Varying Visualizations


Contributions:

  1. Introduces a generalizable framework for automatically generating sharable, editable, searchable interaction histories in time-varying 3D applications.
  2. Demonstrates utility of Relational Markov Models (RMMs) in extracting semantic information from interaction histories, useful for prediction and automation in scientific exploration.
  3. Contributes the technical implementation details (software itself? open source project?) for applying said methods in pre-existing applications.

Results:

  1. Techniques were applied in 3 existing applications: Animal kinematics from CT & X-ray, bat flight kinematics from light capture, and (__?? brain stuff, wrist stuff??, maybe infovis stuff like proteomics??___)
  2. User evaluation of history generation matched user-defined histories in X% of cases. (Fully-automated, semi-automated, manual)
  3. Collect data on collaboration? Anecdotal evidence on how tools were used for collaboration? (Need to get on this quickly, with new data sets that are actively being explored. Talk to Beth, Sharon.)
  4. User study on task completion times with tools versus without tools.
  5. Relational models evaluated against survey data. i.e. User was trying to uncover this in series of interactions, system interpreted interactions as this or that.

(Need to think more about how to objectify the previous two bullets.)

Abstract: TBD.

References:

Why interaction is more powerful than algorithms
Relational Markov Models and their Application to Adaptive Web Navigation
Visualizing Interaction History on a Collaborative Web Server
Distributed Cognition: Toward a New Foundation for Human-Computer Interaction Research




Çağatay

Coloring 3d line fields using Boy’s real projective plane immersion

Abstract:

It’s often useful to visualize a line field, a function that sends each point P of the plane or of space to a line through P; such fields arise in the study of tensor fields, where the principal eigendirection at each point determines a line (but not a vector, since if v is an eigenvector, so is −v). To visualize such a field, we often assign a color to each line; thus we consider the coloring of line fields as a mapping from the real projective plane (RP2) to color space. Ideally, such a coloring scheme should be smooth and one-to-one, so that the color uniquely identifies the line; unfortunately, there is not such mapping. We introduce Boy’s surface, an immersion of the projective plane in 3D, as a model for coloring line fields, and show results from its application in visualizing orientation in diffusion tensor fields. This coloring method is smooth and one to one except on a set of measure zero (the double curve of Boy’s surface).