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Sackler Institute for Developmental Psychobiology Weill Medical College of Cornell University. Pediatric Imaging. BJ Casey, Ph.D., Sackler Professor and Director Sackler Institute for Developmental Psychobiology Weill Medical College of Cornell University.
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Sackler Institute for Developmental Psychobiology Weill Medical College of Cornell University
Pediatric Imaging BJ Casey, Ph.D., Sackler Professor and Director Sackler Institute for Developmental Psychobiology Weill Medical College of Cornell University
Functional changes with development MRI fMRI DTI Structure Function Connectivity A B C For recent reviews: Casey, Tottenham, Liston & Durston (2005). Trends in Cognitive Science Casey, Galvan & Hare (2005). Current Opinions in Neurobiology Amso & Casey (in press). Current Directions in Psychological Science
Magnetic Resonance Imaging (MRI) of the Developing Human Brain A B C Diffusion Tensor Imaging (DTI) to track strengthening of connectivity of fiber tracts with development Structural MRI to track changes in size and shape of neuroanatomical structures with development Functional MRI (fMRI) to track changes in brain and behavior with development Casey et al 2005 Current Opinions in Neurobiology
Pediatric Issues(Precision of Measurement) • Hemodynamic Response • Spatial Normalization • Age-Appropriate Tasks • Behavioral Performance Differences
Time courses are similar for children and adults Kang et al, Neuroimage 2003
Common Stereotactic Space There are only small differences between adults and children in sulcus location Burgund et al Neuroimage 2002
Age Appropriate Paradigms What is changing with development? -behavioral level -neural level
Immature cognition is characterized by greater susceptibility to interference Ability to suppress inappropriate thoughts and actions in favor of appropriate ones (cognitive control). - adjust/alter thoughts and actions when predictions are violated (flexible rules use, E. Miller) Casey et al. 2000, 2002, 2005a, b,c
Spiderman NoGo Task “Try to catch Spiderman, but no, no, never catch the Green Goblin or you’ll be sorry!” Shultz, et al. 2003
Recruitment of Prefrontal Cortex across age Casey et al. 1997 JCN
Dorsolateral PFC Activity 1800 1500 1200 900 600 300 0 * Volume of Activity Children Adults Casey et al. 1997 * p < .05
Age vs Performance • Correlation of age and performance with brain activity • Partial out age and performance
Prefrontal Activity as a function of Age 2400 2000 1600 1200 800 400 Volume of Activation in MFG (mm3) 7 8 9 10 11 12 21 Age in Years Adapted from Casey et al., 1997 JoCN
Neuroanatomical correlates of go no/go performance Sackler Institute Durston et al (2002) Developmental Science
Age vs Performance • Correlation of age and performance with brain activity • Partial out age and performance • Assumes linearity
Age vs Performance • Correlation of age and performance with brain activity • Partial out age and performance • Assumes linearity • Parametric manipulation of task difficulty
Parametric Manipulation: vary # of preceding Gos before a NoGo Level 1 Level 2 Level 3 Time Ventral Prefrontal Activity during Go/Nogo Task Behavioral Performance during Go/Nogo Task Adults Children Adults Children Number of False Alarms % MR Signal Change 1 3 5 1 3 5 1 3 5 1 3 5 number of go trials preceding a nogo trial number of go trials preceding a nogo trial
Parametric Manipulation:vary # of preceding Gos before a NoGo Level 1 Level 2 Level 3 Time Ventral Prefrontal Activity during Go/Nogo Task Behavioral Performance during Go/Nogo Task Adults Children Adults Children Number of False Alarms % MR Signal Change 1 3 5 1 3 5 1 3 5 1 3 5 number of go trials preceding a nogo trial number of go trials preceding a nogo trial
Age vs Performance • Correlation of age and performance with brain activity • Partial out age and performance • Assumes linearity • Parametric manipulation of task difficulty • Matching performance (pre and post scan)
Performance over Time 100 - 80 - 60 - Adults Children Percent Accuracy 1 2 3 4 5 Runs Adapted from Thomas et al 1999
Age vs Performance • Correlation of age and performance with brain activity • Partial out age and performance • Assumes linearity • Parametric manipulation of task difficulty • Matching performance (pre and post scan) • Ages differ with time on task (pre-matching)
Area is active regardless of age or performance Activity differs as a function of performance rather than age Activity differs as a function of age, regardless of performance Schlaggar et al 2002
Area is active regardless of age or performance Activity differs as a function of performance rather than age Activity differs as a function of age, regardless of performance Schlaggar et al 2002
Area is active regardless of age or performance Activity differs as a function of performance rather than age Activity differs as a function of age, regardless of performance Schlaggar et al 2002
What is changing with development? Diffuse/focal Progressive/Regressive Brown et al 2005 Neuroimage
Cortical Changes with development on a variety of cognitive control tasks Casey et al. 2005 TICS
Longitudinal Study (7-12 years) Cortical regions that are recruited more (in red) and less (in blue) with development Sackler Institute, Cornell Medical Durston et al in press Dev Science
Longitudinal fMRI in typical development (Whole brain analyses based 21 scans) Within Ss Analysis Between Ss Analysis Between Ss Analysis at different ages of different ages of same ages Durston et al. in press Developmental Science Durston et al in press Dev Science
Fine-tuning of neural systems with development MRI fMRIDTI Structure Function Connectivity A B C
Developmental Differences in Frontostriatal structure Basal Ganglia Prefrontal Cortex Sowell et al., 1999
Developmental Differences in Frontostriatal Activity Prefrontal Cortex Basal Ganglia Neuroimage 2002 Dev Science 2002
Development of Frontal and Posterior Tracts • Preliminary data suggest dissociation between allelic variants in dopamine genes expressed predominantly in prefrontal cortex and basal ganglia, respectively. 750 700 650 Mean Dav Children Adults Brightness corresponds to the relative anisotropy and color is direction of greatest diffusion (red = right-left, green = anterior-posterior, blue = superior-inferior). Boxes representing prefrontal white matter ROIs Mean prefrontal white matter Dav in children (7-10 years old) and adults (22-31 years old). Average diffusion is 7.7% lower in adults than in children (t = 3.17, p<.01).
Task Specific Connectivity Liston et al. submitted
Prefrontal Cortex Striatum Fiber tracts connecting Prefrontal and striatum