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. . . . . . . . . . . . MEG ERP. OpticalDyes. Single Unit. Patch Clamp. LightMicroscopy. PET. Lesions. 2-deoxyglucose. Microlesions. fMRI. Brain. Map. Column. Layer. Neuron. Dendrite. Synapse. Millisecond. Second. Minute. Hour. Day. Log Time. Log Size. Week. Spatiotemporal Scales for Neuroscience Methods adapted from Churchland.
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1. Physiologic Basis of fMRI SignalsFocus on Perfusion MRI John A. Detre, M.D.
Center for Functional Neuroimaging
Cognitive Rehabilitation Research Consortium
University of Pennsylvania
Moss Rehabilitation Institute
Philadelphia, PA
2. Spatiotemporal Scales for Neuroscience Methodsadapted from Churchland
3. Imaging Physiological Correlates of Neural Function
5. Activation-Flow Coupling Blood flow and metabolism changes accompany brain activation
First described in late 1800’s by Mosso (Italy) and Sherrington (England)
Physiological basis remains poorly understood today
7. Coupling of CBF, CMRGlu, and CMRO2 during Functional Activation Uncoupling of CBF, CMRGlu, and CMRO2
Fox and Raichle, PNAS 1996
?CBF=?CMRGlu>>?CMRO2
Predicts reduction in deoxyhemoglobin with activation
No increase in activated CBF with hypoglycemia
Powers et al., Am. J. Physiol. 1996
Suggests ?CBF is not required to supply glucose substrate
No increase in activated CBF with hypoxia
Mintun et al., PNAS 2001
Suggests ?CBF is not required to supply O2 substrate
12. Brain Activation Analysis
13. fMRI with BOLD Contrasttask activation
14. Perfusion MRI with Arterial Spin Labeling
15. Key Improvements in ASL MRI Transit time correction
(Alsop and Detre, 1998)
Multislice
(Alsop and Detre, 1998)
Background suppression
(Ye et al., 2000)
High Field
(Wang et al., 2002)
Multicoil/Parallel Imaging
(Wang et al, 2005)
Snapshot 3D Imaging
(Duhamel and Alsop, 2004)
(Fernandez-Seara et al., 2005)
Improved Labeling
(Garcia et al., 2005)
16. Perfusion fMRI using ASL Observe CBF changes directly
CBF changes are more linearly coupled to neural activity than BOLD effects
Resting and activated CBF in absolute units (ml/g/min)
Pathological conditions may affect resting CBF
Despite reduced sensitivity vs. BOLD, advantages for:
Spatial resolution (localizes to brain rather than vein)
Low frequency designs (behavioral states)
Group analyses (? reduced intersubject variability)
Regions of high static susceptibility gradient (non-GE EPI)
Statistical advantages (white noise)
17. Localization of Functional Contrast
18. Temporal Characteristics of Perfusion fMRI Control/Label pair typically every 4-8 sec
“Turbo” ASL (Wong) can increase resolution by ~50%
Qualitative ?CBF (no control) in ~2 sec
S:N much lower than BOLD for event-related fMRI
Control/Label pair eliminates drift effects
White noise (instead of 1/f)
Stable over long durations (learning, behavioral state changes, pharmacological challenge etc.)
Sinc subtraction eliminates BOLD derivative
19. Perfusion vs. BOLD: Very Low Task FrequencyWang et al., MRM 2002
20. ASL Perfusion fMRI vs. BOLDImproved Intersubject Variability vs. BOLDAguirre et al., NeuroImage 2002
21. Utility of ASL Perfusion fMRIin Clinical Research Quantify CBF in cerebrovascular disorders
Perfusion imaging may reveal “functional” deficits without a structural correlate
Baseline CBF is a critical determinant of the capacity for activation-flow coupling with a task
Correlate “resting” CBF with cognitive deficits in cohort
Allows functional localization of affected regions
Avoids confound of impaired task performance during fMRI
Avoids need for cognitively impaired subject to perform during fMRI
CBF should be a stable biomarker across space and time
Ideal for multisite or longitudinal studies
This advantage has yet to be formally proven in a clinical study
23. Cognitive Correlations using Resting Perfusion MRI in Alzeimer’s Dementia
24. Dissociation of Activation-Flow CouplingPatient with Left Intracranial Carotid Stenosis
25. Considerations in Task-Activation fMRI(Summary)
26. Conclusions FMRI is measures neural activity indirectly
BOLD qualitatively reflects CBF and metabolism
ASL quantitatively reflect CBF
Clinical FMRI poses special challenges
Task performance effects must be considered
Underlying pathophysiology may alter coupling of activation and flow
FMRI identifies putative regions supporting task function
Does not establish necessity
Correlation with outcome, lesions, or TMS lesions can disambiguate
Many fMRI applications in neurorehabilitation
Mechanisms of neuroplasticity
Biomarker for therapy
Prediction of outcome
Bionic interfaces