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
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===Translation of neuroimaging technologies to advance clinical care ===
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===First lecture: Frontiers of clinical neuroimaging===
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55 minutes
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* Speaker:
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* Content:
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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>
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** Applications-based modules (MS, Alzheimer, pediatrics neuroimaging etc)
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*Pediatric epilepsy (ectopic grey matter)
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** Sample chosen so that each modality is represented at least once.
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** fMRI functional localization,
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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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** white matter connectivity - DTI
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* Potential speakers: Simon Warfield, Randy Gollub, Ellen Grant
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** structural MRI
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* Slides contribution: Charles Guttmann, Bruce Rosen
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** MEG/EEG
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** PET/SPECT
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===Second lecture: Quantitative (neuroimaging)* biomarkers===
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** CT - localization of electrodes <br>
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<br>
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*Tuberous Sclerosis  (phenotype- all with tubers, +/- autism; not related to localization of lesions)
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** structural MRI- FLAIR, SWI (email Marty and Karl to Simon)
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** CT scan
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** DWI- DTI, tractography (myelination)
  
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===Quantitative Neuroimaging Biomarkers===
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45 minutes
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* Speakers:
 
*Content:
 
*Content:
 
** What makes a good quantitative imaging biomarker?
 
** What makes a good quantitative imaging biomarker?
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** Lifecycle of a neuroimaging data (notion of pixel, format, postprocessing, from acquisition to PACS and back etc)
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** Lifecycle of a neuroimaging data (notion of pixel, format, post-processing, from acquisition to PACS and back etc)
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* Potential speakers: Jeff Yap, Randy Gollub, Greg Sorensen, Ron Kikinis (April 1st only), Sonia Pujol
 
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* Slides contribution: Bruce Rosen
 
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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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===Pathophysiological and clinical insights from neuroimaging ===
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55 minutes
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* Speaker:
 
* Content:
 
* Content:
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** Get more basic details on the different imaging modalities currently used in neuroimaging
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** Based on work in both MS and cerebrovascular disease will include image data management too.
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** What are the different quantitative biomarkers that can be collected by the different imaging modalities
 
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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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===Neuroimaging resources within the Harvard Catalyst Community===
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10 minutes
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* Speakers:
 
*Content:
 
*Content:
 
** Consultation service
 
** Consultation service
 
** Centers of excellence (SPL, CNI, Martinos Center, CRL etc)
 
** Centers of excellence (SPL, CNI, Martinos Center, CRL etc)
 
** Education material online
 
** Education material online
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* Potential speakers: Valerie Humblet, Randy Gollub
 

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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