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>
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==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=
  
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=Proposed structure for the Neuroimaging half-day sessions (April 1st, MGH and April 9th, BWH)=
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*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.<br>
 +
*Pediatric epilepsy (ectopic grey matter)
 +
** fMRI functional localization,
 +
** white matter connectivity - DTI
 +
** structural MRI
 +
** MEG/EEG
 +
** PET/SPECT
 +
** CT - localization of electrodes <br>
 +
<br>
 +
*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)
  
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===First lecture: Frontiers of clinical neuroimaging===
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===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:
 
* Content:
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** Applications-based modules (MS, Alzheimer, pediatrics neuroimaging etc)
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** Based on work in both MS and cerebrovascular disease will include image data management too.
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** Sample chosen so that each modality is represented at least once.
 
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** 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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* Potential speakers: Simon Warfield, Randy Gollub, Ellen Grant
 
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* Slides contribution: Charles Guttmann, Bruce Rosen
 
  
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===Second lecture: Quantitative (neuroimaging)* biomarkers===
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===Neuroimaging resources within the Harvard Catalyst Community===
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+
10 minutes
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* What makes a good quantitative imaging biomarker?
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* Speakers:  
−
* Lifecycle of a neuroimaging data (notion of pixel, format, postprocessing, from acquisition to PACS and back etc)
+
*Content:
−
<br>
+
** Consultation service
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* Potential speakers: Jeff Yap, Randy Gollub, Greg Sorensen, Ron Kikinis (April 1st only), Sonia Pujol
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** Centers of excellence (SPL, CNI, Martinos Center, CRL etc)
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* Slides contribution: Bruce Rosen
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** Education material online
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(*): discuss option to make this a more generic lecture that could fit other modules (oncology, cardiovascular etc)
 
−
 
 
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===Third lecture: Survey of modalities===
 
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* Get more basic details on the different imaging modalities currently used in neuroimaging
 
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* What are the different quantitative biomarkers that can be collected by the different imaging modalities
 
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<br>
 
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* Potential speakers: Jeff Yap, Randy Gollub, Ellen Grant
 
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* Slides contribution: Bruce Rosen, Charles Guttmann
 
−
 
 
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===Fourth lecture: Guide to neuroimaging resources within Harvard Catalyst===
 
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* Consultation service
 
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* Centers of excellence (SPL, CNI, Martinos Center, CRL etc)
 
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* Education material online
 
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<br>
 
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* Potential speakers: Valerie Humblet, Randy Gollub
 
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* Slides contribution: Bruce Rosen
 
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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
 

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
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