Pediatric Applications of MRS Pediatric Applications of MRS A Trans-NIH Workshop on Pediatric Functiona A Trans-NIH Workshop on Pediatric Functiona Neuroimaging Neuroimaging Stephen R Dager, MD Stephen R Dager, MD Department of Radiology Department of Radiology University of Washington University of Washington
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Pediatric Applications of MRS A Trans-NIH Workshop on Pediatric Functional Neuroimaging Stephen R Dager, MD Department of Radiology University of Washington.
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Pediatric Applications of MRSPediatric Applications of MRS
A Trans-NIH Workshop on Pediatric Functional A Trans-NIH Workshop on Pediatric Functional NeuroimagingNeuroimaging
Stephen R Dager, MDStephen R Dager, MDDepartment of RadiologyDepartment of RadiologyUniversity of WashingtonUniversity of Washington
Outline of TalkOutline of Talk
1. Methodological considerations- to sedate or not to sedate?1. Methodological considerations- to sedate or not to sedate?
2. What can 2. What can 11H MRS inform us about brain development gone awry?H MRS inform us about brain development gone awry?
3. Beyond 3. Beyond 11H MRS- a brief overview of H MRS- a brief overview of 1919F pediatric applications. F pediatric applications.
Structure vs FunctionStructure vs Function
3 yr old 3 yr old controlcontrol
MRI Subject Characteristics at Age 3 MRI Subject Characteristics at Age 3 (N=88)(N=88)
GroupGroup
ASD AutismASD Autism
TD ControlTD Control
DD ControlDD Control
NN
4545
2626**
1717
GenderGender
7f7f
8f8f
9f9f
Age (±SD)Age (±SD)
47.4±4.2 mo47.4±4.2 mo
47.5±6.2 mo47.5±6.2 mo
46.3±6.2 mo46.3±6.2 mo
Range (mo)Range (mo)
38-5638-56
37-5637-56
37-5937-59
**NIH=13 (5f)NIH=13 (5f)UW=13 (3f)UW=13 (3f)
MRI Subject Characteristics at Age 6 MRI Subject Characteristics at Age 6 (N=67)(N=67)
GroupGroup
ASD AutismASD Autism
TD ControlTD Control
DD ControlDD Control
NN
3333
2020
1414
GenderGender
7f7f
8f8f
5f5f
Age (±SD)Age (±SD)
78.8±4.7 mo78.8±4.7 mo
78.5±5.1 mo78.5±5.1 mo
76.5±4.2 mo76.5±4.2 mo
Range (mo)Range (mo)
73-8873-88
72-9472-94
71-8871-88
MRI Methods/AnalysisMRI Methods/Analysis
MR AcquisitionMR Acquisition•GE Signa 1.5 T GE Signa 1.5 T
•Custom (home-built) pediatric linear birdcage coilCustom (home-built) pediatric linear birdcage coil
Volumetric AnalysesVolumetric Analyses•Rater blind to Dx using MEASURE (Johns Hopkins University) Rater blind to Dx using MEASURE (Johns Hopkins University)
SI ProcessingSI Processing• Software written in Fortran, MATLAB, using LCModelSoftware written in Fortran, MATLAB, using LCModel
• Automated run employing PEPSI phantom librariesAutomated run employing PEPSI phantom libraries
• Odd/even datasets fit separately, maps generatedOdd/even datasets fit separately, maps generated
• Data masked by fit confidence (%SD)Data masked by fit confidence (%SD)
• Quantification: Quantification: • Corrected for R1/R2/TG, referenced to brain water corrected for %tissueCorrected for R1/R2/TG, referenced to brain water corrected for %tissue
SpectroscopySpectroscopy
• We initially predicted that larger brains would be We initially predicted that larger brains would be associated with associated with increased neuronal packing densityincreased neuronal packing density
• By MRS, we had expected:By MRS, we had expected:
†† propofol comparison groupspropofol comparison groups
LacLac
--
--
--
((FriedmanFriedman et al. Neurology 2003)et al. Neurology 2003)
• In contrast to hypotheses of In contrast to hypotheses of widespreadwidespread densely densely packed neurons resulting from abnormal packed neurons resulting from abnormal developmental processes, developmental processes, inverse relationships inverse relationships were demonstratedwere demonstrated
metabolite relaxation timesmetabolite relaxation times
• Alternative models in ASD for disordered cellular Alternative models in ASD for disordered cellular organization, distribution, or cytoarchitectureorganization, distribution, or cytoarchitecture
Regional MRS SummaryRegional MRS Summary
((FriedmanFriedman et al. Neurology 2003)et al. Neurology 2003)
MRI SegmentationMRI Segmentation
CLASSIFIEDCLASSIFIEDMRI (N3)MRI (N3)
Tissue SpecificityTissue Specificity
• GMGM is the primary compartment demonstrating MRS alterationsis the primary compartment demonstrating MRS alterations
• RegionalRegional white matter alterations also present (lobular) white matter alterations also present (lobular)
Future Model ComponentsFuture Model Components
• Cell density regional increases and decreases (size?)Cell density regional increases and decreases (size?)
• Disorganization of cortical columnsDisorganization of cortical columns
• Normal variationNormal variation: How much do cell size, distribution : How much do cell size, distribution (neurons/glia), terminal density, and packing ratio (neurons/glia), terminal density, and packing ratio (intra/extracellular fractions) differ with increasing brain size?(intra/extracellular fractions) differ with increasing brain size?
DiscussionDiscussion
• ASD cerebral enlargement at age 3 no longer apparent by age 6 ASD cerebral enlargement at age 3 no longer apparent by age 6 Amygdalar enlargement accentuated at age 6: AD> ASDAmygdalar enlargement accentuated at age 6: AD> ASD
• Hippocampi and cerebellum not different between ASD and TD Hippocampi and cerebellum not different between ASD and TD children. ASD> DD <TD Childrenchildren. ASD> DD <TD Children
• Chemicals [ ]’s reduced and T2 relaxation prolonged (age 3)Chemicals [ ]’s reduced and T2 relaxation prolonged (age 3)
• Longitudinal follow-up is investigating evolution of brain Longitudinal follow-up is investigating evolution of brain morphological and chemical measures between 3 - 9 years of agemorphological and chemical measures between 3 - 9 years of age
• Links between brain structural/chemical abnormalities and Links between brain structural/chemical abnormalities and prognosis/longitudinal progression of symptom expression are prognosis/longitudinal progression of symptom expression are under investigationunder investigation
• To assess whether quantification of tissue chemical composition To assess whether quantification of tissue chemical composition can aid in characterizing the cellular environment underlying can aid in characterizing the cellular environment underlying structural development.structural development.
Long-Term GoalsLong-Term Goals
• Many psychotropic drugs have Many psychotropic drugs have 1919F incorporated into structureF incorporated into structure
Children: fluoxetine (n=8; 8.8 Children: fluoxetine (n=8; 8.8 ++ 3.7 years sd) 3.7 years sd)
fluvoxamine (n=8; 11.8 fluvoxamine (n=8; 11.8 ++ 3.2 years sd) 3.2 years sd)
Adults: fluoxetine (n=15; 51.9 Adults: fluoxetine (n=15; 51.9 ++ 11.3 years sd) 11.3 years sd)
fluvoxamine (n=13; 44.8 fluvoxamine (n=13; 44.8 ++ 17.5 years sd) 17.5 years sd)
• Elimination T1/2 for 2 children discontinued from fluoxetineElimination T1/2 for 2 children discontinued from fluoxetine
• Whole brain drug [ ] determined using a GE Signa 1.5TWhole brain drug [ ] determined using a GE Signa 1.5T
• Home built Home built 1919F quadrature birdcage headcoilF quadrature birdcage headcoil
drug [ ] determined relative to NaF phantom at each sessiondrug [ ] determined relative to NaF phantom at each session
19F MRS MethodsF MRS Methods
Strauss et al. Am Jr Psych 2002Strauss et al. Am Jr Psych 2002
Fluoxetine Brain Concentration- Age RelationshipsFluoxetine Brain Concentration- Age Relationships
Fluvoxamine Brain Concentration- Age RelationshipsFluvoxamine Brain Concentration- Age Relationships
Strauss et al. Am Jr Psych 2002Strauss et al. Am Jr Psych 2002
• Significant relationships between dose and brain drug levelsSignificant relationships between dose and brain drug levels
• Brain levels approx 20-fold higher than plasma levelsBrain levels approx 20-fold higher than plasma levels
• Brain fluoxetine levels similar between age groupsBrain fluoxetine levels similar between age groups
• Brain fluvoxamine levels lower in children- ? sedation SE profileBrain fluvoxamine levels lower in children- ? sedation SE profile
• Adjusted for dose/body mass, age effects not significantAdjusted for dose/body mass, age effects not significant
• Observations of brain fluoxetine bioavailability and elimination Observations of brain fluoxetine bioavailability and elimination half-life (> 16 days) similar between age groupshalf-life (> 16 days) similar between age groups
• More efficient hepatic clearance in children-More efficient hepatic clearance in children-
Brain drug levels relatively invisible to liver vs plasma levels Brain drug levels relatively invisible to liver vs plasma levels
Jay Giedd, MDJay Giedd, MDStefan Posse, PhDStefan Posse, PhD
Supported by:Supported by:
NICHD (PO1- HD34565)NICHD (PO1- HD34565)
NAAR Neuropharmacology FellowshipNAAR Neuropharmacology Fellowship
University of WashingtonUniversity of Washington
Wayne Strauss, MD PhD BioengineeringWayne Strauss, MD PhD Bioengineering
We gratefully acknowledge support from the We gratefully acknowledge support from the NICHD (PO1- NICHD (PO1- HD34565)HD34565)..
We wish also to extend our thanks to the parents and children We wish also to extend our thanks to the parents and children who participated in this study.who participated in this study.