Difference between revisions of "CTSC:education Neuroscience"

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Back to [[Collaboration:Harvard_CTSC|Collaboration:Harvard_CTSC]] <br>
 
Back to [[Collaboration:Harvard_CTSC|Collaboration:Harvard_CTSC]] <br>
==Neuroscience Imaging: Clinical Practice and Research Applications (Bruce Rosen, Randy Gollub, Charles Guttman, et al.)==
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=Neuroscience Imaging: Clinical Practice and Research Applications=
  
=Proposed structure for the Neuroimaging half-day sessions (April 1st, MGH and April 9th, BWH)=
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*Introduction 10 minutes
 
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===Translation of neuroimaging technologies to advance clinical care ===
===First lecture: Frontiers of clinical neuroimaging===
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55 minutes
 
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* Speaker:
* Applications-based modules (MS, Alzheimer, pediatrics neuroimaging etc)
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* Content: Using disease based orientation provide detailed examples of how clinical and research image acquisition and analysis informs clinical decision making.  Will include information on when imaging acquisition is based on clinical standards versus research sequences.<br>
* Sample chosen so that each modality is represented at least once.
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*Pediatric epilepsy (ectopic grey matter)
* Get a full range of biomarkers and specify if they are currently used in clinical practice or under development and used only for research.
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** fMRI functional localization,  
<br>
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** white matter connectivity - DTI
* Potential speakers: Simon Warfield, Randy Gollub, Ellen Grant
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** structural MRI
* Slides contribution: Charles Guttmann, Bruce Rosen
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** MEG/EEG
 
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** PET/SPECT
===Second lecture: Quantitative (neuroimaging)* biomarkers===
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** CT - localization of electrodes <br>
 
 
* What makes a good quantitative imaging biomarker?
 
* Lifecycle of a neuroimaging data (notion of pixel, format, postprocessing, from acquisition to PACS and back etc)
 
 
<br>
 
<br>
* Potential speakers: Jeff Yap, Randy Gollub, Greg Sorensen, Ron Kikinis (April 1st only), Sonia Pujol
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*Tuberous Sclerosis  (phenotype- all with tubers, +/- autism; not related to localization of lesions)
* Slides contribution: Bruce Rosen
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** structural MRI- FLAIR, SWI (email Marty and Karl to Simon)
(*): discuss option to make this a more generic lecture that could fit other modules (oncology, cardiovascular etc)
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** CT scan
 
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** DWI- DTI, tractography (myelination)
===Third lecture: Survey of modalities===
 
  
* Get more basic details on the different imaging modalities currently used in neuroimaging
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===Quantitative Neuroimaging Biomarkers===
* What are the different quantitative biomarkers that can be collected by the different imaging modalities
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45 minutes
<br>
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* Speakers:
* Potential speakers: Jeff Yap, Randy Gollub, Ellen Grant
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*Content:
* Slides contribution: Bruce Rosen, Charles Guttmann
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** What makes a good quantitative imaging biomarker?
 +
** Lifecycle of a neuroimaging data (notion of pixel, format, post-processing, from acquisition to PACS and back etc)
  
===Fourth lecture: Guide to neuroimaging resources within Harvard Catalyst===
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===Pathophysiological and clinical insights from neuroimaging ===
 +
55 minutes
 +
* Speaker:
 +
* Content:
 +
** Based on work in both MS and cerebrovascular disease will include image data management too.
  
* Consultation service
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===Neuroimaging resources within the Harvard Catalyst Community===
* Centers of excellence (SPL, CNI, Martinos Center, CRL etc)
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10 minutes
* Education material online
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* Speakers:
<br>
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*Content:
* Potential speakers: Valerie Humblet, Randy Gollub
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** Consultation service
* Slides contribution: Bruce Rosen
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** Centers of excellence (SPL, CNI, Martinos Center, CRL etc)
Note: the second and third lectures have been split so we can have 2 different speakers but they can also be combine and given as one lecture
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** Education material online

Latest revision as of 15:21, 28 June 2010

Home < CTSC:education Neuroscience

Back to Collaboration:Harvard_CTSC

Neuroscience Imaging: Clinical Practice and Research Applications

  • Introduction 10 minutes

Translation of neuroimaging technologies to advance clinical care

55 minutes

  • Speaker:
  • Content: Using disease based orientation provide detailed examples of how clinical and research image acquisition and analysis informs clinical decision making. Will include information on when imaging acquisition is based on clinical standards versus research sequences.
  • Pediatric epilepsy (ectopic grey matter)
    • fMRI functional localization,
    • white matter connectivity - DTI
    • structural MRI
    • MEG/EEG
    • PET/SPECT
    • CT - localization of electrodes


  • Tuberous Sclerosis (phenotype- all with tubers, +/- autism; not related to localization of lesions)
    • structural MRI- FLAIR, SWI (email Marty and Karl to Simon)
    • CT scan
    • DWI- DTI, tractography (myelination)

Quantitative Neuroimaging Biomarkers

45 minutes

  • Speakers:
  • Content:
    • What makes a good quantitative imaging biomarker?
    • Lifecycle of a neuroimaging data (notion of pixel, format, post-processing, from acquisition to PACS and back etc)

Pathophysiological and clinical insights from neuroimaging

55 minutes

  • Speaker:
  • Content:
    • Based on work in both MS and cerebrovascular disease will include image data management too.

Neuroimaging resources within the Harvard Catalyst Community

10 minutes

  • Speakers:
  • Content:
    • Consultation service
    • Centers of excellence (SPL, CNI, Martinos Center, CRL etc)
    • Education material online