Difference between revisions of "CTSC:education Neuroscience"
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*Introduction 10 minutes (Randy Gollub) | *Introduction 10 minutes (Randy Gollub) | ||
− | ===First lecture: | + | ===First lecture: Translation of neuroimaging technologies to advance clinical care === |
− | + | 55 minutes | |
− | |||
− | |||
− | |||
− | |||
* Speaker: Simon Warfield | * Speaker: Simon Warfield | ||
− | * | + | * 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) | ||
− | ===Second lecture: Quantitative | + | ===Second lecture: Quantitative Neuroimaging Biomarkers=== |
− | + | 45 minutes | |
+ | * Speakers: Sonia Pujol (April 1), Randy Gollub (April 9) | ||
*Content: | *Content: | ||
** What makes a good quantitative imaging biomarker? | ** 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) | ** Lifecycle of a neuroimaging data (notion of pixel, format, post-processing, from acquisition to PACS and back etc) | ||
− | |||
− | |||
− | |||
− | + | ===Third lecture: Pathophysiological and clinical insights from neuroimaging === | |
− | + | 55 minutes | |
− | ===Third lecture: | + | * Speaker: Charles Guttmann |
− | |||
* Content: | * Content: | ||
− | ** | + | ** Based on work in both MS and cerebrovascular disease will include image data management too. |
− | |||
− | |||
− | |||
===Fourth lecture: Guide to neuroimaging resources within Harvard Catalyst=== | ===Fourth lecture: Guide to neuroimaging resources within Harvard Catalyst=== | ||
10 minutes | 10 minutes | ||
+ | * Speakers: Valerie Humblet (April 9), Randy Gollub (April 1) | ||
*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 | ||
− |
Revision as of 16:47, 26 March 2010
Home < CTSC:education NeuroscienceBack to Collaboration:Harvard_CTSC
Neuroscience Imaging: Clinical Practice and Research Applications: April 1st MGH (2-5 pm), April 9th (8am-12pm)
- Introduction 10 minutes (Randy Gollub)
First lecture: Translation of neuroimaging technologies to advance clinical care
55 minutes
- Speaker: Simon Warfield
- 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)
Second lecture: Quantitative Neuroimaging Biomarkers
45 minutes
- Speakers: Sonia Pujol (April 1), Randy Gollub (April 9)
- 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)
Third lecture: Pathophysiological and clinical insights from neuroimaging
55 minutes
- Speaker: Charles Guttmann
- Content:
- Based on work in both MS and cerebrovascular disease will include image data management too.
Fourth lecture: Guide to neuroimaging resources within Harvard Catalyst
10 minutes
- Speakers: Valerie Humblet (April 9), Randy Gollub (April 1)
- Content:
- Consultation service
- Centers of excellence (SPL, CNI, Martinos Center, CRL etc)
- Education material online