Declaration of Conflict of Interest or Relationship Bryon Mueller I have no conflicts of interest to disclose with regard to the subject matter of this presentation Research funded by NCRR, NIMH and NIDA
How To Do A Functional Multi-Center Neuroimaging Study Bryon Mueller, Ph.D. Department of Psychiatry University of Minnesota
Multi-Center fMRI
Why Multi-Center fMRI? Participants –More subjects –Collect the data more quickly –More varied demographics –Rare population subgroups
Multi-Center fMRI Challenges Lots of subjects (That’s good?) Complex experiments Lots of sites Inter-site variability (not so good)
Outline Study preparation phase Study execution Resources are available
Decide What Data To Collect fMRI task(s) –Stimulus presentation? –Response recording? –Physiological? Field map? Structural? DTI/ASL/… Response Physiological Clinical Cognitive Can the sites do the protocol?
Implement Protocol At Sites Reduce sources of inter-site variability: Scanner related factors Non-scanner factors
Sources of Inter-Site Variability: Potential scanner related factors Hardware differences Pulse sequence Sequence parameters Scanner malfunction Similar to other multi-center studies
Sources of Inter-Site Variability: Potential non-scanner factors: Protocol prescription Head positioning and restraint Site protocol errors Stimulus Response devices Subject training, attention, and habituation Other “brain state” factors
Study Standardization Establish scanner QA program
Establish a Scanner QA Program
Study Standardization Establish scanner QA program Create standardized protocol
Standardize MRI Acquisition Functional Anatomical B0 Coil type Functional - TR, TE, Echo Spacing, Flip Angle, Voxel Size, Bandwidth, Number of Discards, Slice Select, Phase Encode Direction, Slice Prescription, …
Assume Nothing Vendors “defaults” can be different Scanner/stimulus computer triggering Image smoothing Phase encode direction T1 stabilization volumes Slice select method …
Slice Select Method Figure courtesy of Kun Lu and Tom Liu, UCSD Spectral- Spatial Slice Select Fat Sat Slice Select
Reduce Inter-Site Variability Establish scanner QA program Create standardized protocol –Make sure study can run at all sites
Reduce Inter-Site Variability Establish scanner QA program Create standardized protocol –Make sure study can run at all sites –Don’t forget the non-MR stuff
Reduce Inter-Site Variability Establish scanner QA program Create standardized protocol Provide clear instructions –Subject training standardization –Task instruction scripts –Check list –How to execute the study –Trouble shooting guidance
Reduce Inter-Site Variability Establish scanner QA program Create standardized protocol Provide clear instructions Run test subjects at each site –Repeat as necessary –Formal site qualification process
Reduce Inter-Site Variability Establish scanner QA program Create standardized protocol Provide clear instructions Run test subjects at each site Scientist visit each site –Site certification
Reduce Inter-Site Variability Establish scanner QA program Create standardized protocol Provide clear instructions Run test subjects at each site Scientist visit each site Traveling subject reproducibility study
Outline Study preparation phase Study execution –Look at your data Resources are available
Continue to collect scanner QA –Sometimes scanners are upgraded –Sometimes scanners break What Can Go Wrong (Will)
Sometimes Scanners Break Upgrade Problem and repair
Scanner QA –Sometimes scanners are upgraded –Sometimes scanners break Subject data –Imaging parameters What Can Go Wrong (Will)
Scanner QA –Sometimes scanners are upgraded –Sometimes scanners break Subject data –Imaging parameters –Subject data What Can Go Wrong (Will)
Look At Subject Data Site 1 Site 2
Look At Subject Data
Scanner QA –Sometimes scanners break –Sometimes scanners are upgraded Subject data –Imaging parameters –Subject data –Task triggering What Can Go Wrong (Will)
Scanner QA –Sometimes scanners break –Sometimes scanners are upgraded Subject data –Imaging parameters –Subject data –Task triggering –Response devices What Can Go Wrong (Will)
Scanner QA –Sometimes scanners break –Sometimes scanners are upgraded Subject data –Imaging parameters –Subject data –Task triggering –Response devices –Missing data What Can Go Wrong (Will)
Outline Study preparation phase Study execution Resources are available –Make your life easier
Multi-Center fMRI Resources Casey BJ et al. Neuroimage 1998 Ojemann et al. Hum Brain Mapp 1998 Vlieger EJ et al. AJNR 2003 Kim S et al. Comp Assist Interv Cramer SC et al. Stroke 2005 Stocker T et al. Hum Brain Mapp 2005 Zou KH et al. Radiology 2005 Friedman L et al. JMRI 2006 Friedman L et al. Neuroimage 2006 Schneider F et al. Schizophr Res Costafreda SG et al. JMRI 2007 Olsrud J et al. MRI 2008 Sutton BP et al. JMRI 2008 Bosnell R et al. Neuroimage 2008 Gedamu EL et al. JMRI 2008 Friedman et al. Hum Brain Mapp 2008 Suckling J et al. Hum Brain Mapp 2008 Wegner C et al. E J of Neurology 2008 Rocca MA et al. Hum Brain Mapp 2008 Potkin SG et al. Schizophr Bull Brown GG et al. Schizophr Bull Wible CG et al. Schizophr Bull Ford JM et al. Schizophr Bull Kim DI et al. Schizophr Bull Potkin SG et al. Schizophr Bull Rocca MA et al. Hum Brain Mapp Mancini L et al. Neuroimage Kim DI et al. Hum Brain Mapp Costafreda SG Front Neuroinformatics 2009 Van Horn JD, Toga Aw Curr Opin Neurol Arolt V, et al. Psychother Psych Med 2009 Gountouna VE et al. Neuroimage Biswal BB, et al. Proc Natl Acad Sci USA 2010 Kim S et sl. IEEE Trans Med Imaging 2010 Mattson SN, et al. Alcohol 2010 Yendiki A et al. Neuroimage 2010
XNAT
LONI
FBIRN NCRR funded Began in institutions 60+ collaborators Develop and share recommendations and tools for multi-center fMRI Function Biomedical Informatics Research Network
FBIRN Best Practices and Tools Multi-center fMRI how to FAQ: Function-BIRN/FBIRN_Best_Practices Calibration Cognitive issues Data management Data analysis and interpretation
Best Practice Recommendations Preparation phase: Establish scanner QA program Standardize fMRI study Provide clear instructions to sites Run test subjects Have scientist visit the sites Traveling subject study
Best Practice Recommendations While site is collecting data: Continue to perform scanner QA Analyze data as it comes in Check for missing data Beware problems with behavioral data Use a balanced design
Acknowledgements P30NS , P41RR R01MH A1,1P20DA U24RR