Difference between revisions of "DBP1:Irvine"

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Back to [[DBP1:Main|NA-MIC DBP 1]]
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Back to [[DBP1:Main|NA-MIC DBP 1]]
 
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This page is under construction. Click [[DBP:Irvine|here]] for the older version.
 
 
= Overview of UC Irvine DBP 1 =
 
= Overview of UC Irvine DBP 1 =
  
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A brief overview of the UC Irvine's driving biological problem goes here.  This should not be much longer than a paragraph.  Remember that people visiting your site want to be able to understand very quickly what you're all about and then they want to jump into your site's projects. The projects below are organized into a two column table: the left column is for representative images and the right column is for project overviews.  The number of rows corresponds to the number of projects at your site.  Put the most interesting and relevant projects at the top of the table.  You do not need to organize the table according to subject matter (i.e. do not group all segmentation projects together and all DWI projects together).
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Researchers at UCI investigate the connections between neuroanatomy and schizophrenia.
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For more introductory information, follow this [[DBP:Irvine|link]].
  
 
= UC Irvine Projects =
 
= UC Irvine Projects =
  
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== [[Projects:RuleBasedSegmentation|Rule Based Segmentation]] ==
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In this work, we provide software to semi-automate the implementation of segmentation procedures based on expert neuroanatomist rules. We have implemented our code in Slicer 2. We currently provide modules for the semi-automatic segmentation of the DLPFC and the Striatum. [[Projects:RuleBasedSegmentation|More...]]
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== [[Projects:RuleBasedDLPFCSegmentation|Rule-Based DLPFC Segmentation]] ==
  
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<font color="red">'''New: '''</font> Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.
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In this work, we provide software to semi-automate the implementation of segmentation procedures based on expert neuroanatomist rules for the dorsolateral prefrontal cortex. [[Projects:RuleBasedDLPFCSegmentation|More...]]
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<font color="red">'''New: '''</font> Al-Hakim, et al. A Dorsolateral Prefrontal Cortex Semi-Automatic Segmenter. SPIE MI 2006.
  
 
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To carry out quantitative and qualitative validation of the DTI tractography tools. These will be applied to a limited set of specific tracts in single data sets and single tractography tools, and on several data sets using at least two tractography programs and by investigators in different laboratories. [[Projects:DTIValidation|More...]]
 
To carry out quantitative and qualitative validation of the DTI tractography tools. These will be applied to a limited set of specific tracts in single data sets and single tractography tools, and on several data sets using at least two tractography programs and by investigators in different laboratories. [[Projects:DTIValidation|More...]]
  
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<font color="red">'''New: '''</font> Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.
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<font color="red">'''New: '''</font> Future research is needed to establish critical values for diffusion sequence acquisition parameters that would allow diffusion data processing via Slicer.
  
 
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In a legacy dataset of 28 chronic schizophrenics, to determine fMRI activation during working memory in schizophrenia and apply novel tools to assess circuitry between regions through combining behavior and BOLD signal analyses. [[Projects:ImagingPhenotypesInSchizophrenicsAndControls|More...]]
 
In a legacy dataset of 28 chronic schizophrenics, to determine fMRI activation during working memory in schizophrenia and apply novel tools to assess circuitry between regions through combining behavior and BOLD signal analyses. [[Projects:ImagingPhenotypesInSchizophrenicsAndControls|More...]]
  
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<font color="red">'''New: '''</font> Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.
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<font color="red">'''New: '''</font> The initial results were presented at the Human Brain Mapping meeting in Florence IT 2006.
  
 
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To use structural equation modeling to compare attentional circuitry within the legacy set of 28 schizophrenic subjects who performed similar attentional tasks in both a PET and fMRI scan. [[Projects:AttentionalCircuitsInSchizophreniaInfMRIAndPET|More...]]
 
To use structural equation modeling to compare attentional circuitry within the legacy set of 28 schizophrenic subjects who performed similar attentional tasks in both a PET and fMRI scan. [[Projects:AttentionalCircuitsInSchizophreniaInfMRIAndPET|More...]]
  
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<font color="red">'''New: '''</font> Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.  
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<font color="red">'''New: '''</font> The data can be found via the NAMIC website.  
  
 
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To compare morphometric/volumetric differences in a multi-site anatomical sample of schizophrenic subjects, in collaboration with the FBIRN consortium. Subject morphometric scans will be sent to UCSD's morphometric processing lab (Dale) for automated processing. A system for submitting morphometric scans to processing pipeline and retreiving/wrapping the results for inclusion into FBIRN HIDs will be developed. The project will also be used to drive the development of the workflow processing system being developed by Shawn Murphey's group. [[Projects:MultiSiteMorhometry|More...]]
 
To compare morphometric/volumetric differences in a multi-site anatomical sample of schizophrenic subjects, in collaboration with the FBIRN consortium. Subject morphometric scans will be sent to UCSD's morphometric processing lab (Dale) for automated processing. A system for submitting morphometric scans to processing pipeline and retreiving/wrapping the results for inclusion into FBIRN HIDs will be developed. The project will also be used to drive the development of the workflow processing system being developed by Shawn Murphey's group. [[Projects:MultiSiteMorhometry|More...]]
  
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<font color="red">'''New: '''</font> Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.
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<font color="red">'''New: '''</font> Two hundred subjects have been collected, in some cases with a repeated T1 scan, in 3T and 1.5T scanners. Discussions of morphometric analysis methods are underway.
  
 
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Latest revision as of 15:30, 21 August 2009

Home < DBP1:Irvine

Back to NA-MIC DBP 1

Overview of UC Irvine DBP 1

Researchers at UCI investigate the connections between neuroanatomy and schizophrenia.

For more introductory information, follow this link.

UC Irvine Projects

Dlpfc1.jpg

Rule-Based DLPFC Segmentation

In this work, we provide software to semi-automate the implementation of segmentation procedures based on expert neuroanatomist rules for the dorsolateral prefrontal cortex. More...

New: Al-Hakim, et al. A Dorsolateral Prefrontal Cortex Semi-Automatic Segmenter. SPIE MI 2006.

MBIRNseedROIcc1.png

DTI Validation

To carry out quantitative and qualitative validation of the DTI tractography tools. These will be applied to a limited set of specific tracts in single data sets and single tractography tools, and on several data sets using at least two tractography programs and by investigators in different laboratories. More...

New: Future research is needed to establish critical values for diffusion sequence acquisition parameters that would allow diffusion data processing via Slicer.

Optimal Imaging Phenotypes In Schizophrenics and Controls

In a legacy dataset of 28 chronic schizophrenics, to determine fMRI activation during working memory in schizophrenia and apply novel tools to assess circuitry between regions through combining behavior and BOLD signal analyses. More...

New: The initial results were presented at the Human Brain Mapping meeting in Florence IT 2006.

Attentional Circuits In Schizophrenia In fMRI And PET

To use structural equation modeling to compare attentional circuitry within the legacy set of 28 schizophrenic subjects who performed similar attentional tasks in both a PET and fMRI scan. More...

New: The data can be found via the NAMIC website.

MultiSite Morphometry

To compare morphometric/volumetric differences in a multi-site anatomical sample of schizophrenic subjects, in collaboration with the FBIRN consortium. Subject morphometric scans will be sent to UCSD's morphometric processing lab (Dale) for automated processing. A system for submitting morphometric scans to processing pipeline and retreiving/wrapping the results for inclusion into FBIRN HIDs will be developed. The project will also be used to drive the development of the workflow processing system being developed by Shawn Murphey's group. More...

New: Two hundred subjects have been collected, in some cases with a repeated T1 scan, in 3T and 1.5T scanners. Discussions of morphometric analysis methods are underway.

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