Functional MRI at the NIH Peter A. Bandettini, Ph.D. Functional MRI Facility, NIMH/NINDS & Unit on Functional Imaging Methods Laboratory.

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Functional MRI at the NIH Peter A. Bandettini, Ph.D. Functional MRI Facility, NIMH/NINDS & Unit on Functional Imaging Methods Laboratory of Brain and Cognition, NIMH

Fiber Track Imaging Angiography Venography Anatomy Perfusion T1 weighted T2 weighted

Functional Neuroimaging Techniques Log Time (sec) Log Size (mm) Non-invasive Invasive

MRI vs. fMRI  neural activity   blood oxygen   fMRI signal MRIfMRI one image many images (e.g., every 2 sec for 5 mins) high resolution (1 mm) low resolution (~3 mm but can be better) fMRI Blood Oxygenation Level Dependent (BOLD) signal indirect measure of neural activity … Courtesy, Robert Cox, Scientific and Statistical Computing Core Facility, NIMH

ON Motor Cortex Activation

task The FMRI Signal Based on Local Blood Flow Response in the Brain

Statistical Map superimposed on anatomical MRI image ~2s Functional images Time Condition 1 Condition 2... ~ 5 min Time fMRI Signal (% change) ROI Time Course Condition Activation Statistics Region of interest (ROI) Courtesy, Robert Cox, Scientific and Statistical Computing Core Facility, NIMH

J. Illes, M. P. Kirschen, J. D. E. Gabrielli, Nature Neuroscience, 6 (3)m p.205 Motor (black) Primary Sensory (red) Integrative Sensory (violet) Basic Cognition (green) High-Order Cognition (yellow) Emotion (blue)

Current Uses of fMRI Potential uses of fMRI Understanding normal brain organization and changes -networks involved with specific tasks (low to high level processing) -changes over time (seconds to years) -correlates of behavior (response accuracy, performance changes…) Clinical research -correlates of specifically activated networks to clinical populations -presurgical mapping -epileptic foci mapping -drug effects Complementary use for clinical diagnosis -utilization of clinical research results Clinical treatment and assessment -drug, therapy, rehabilitation, biofeedback Non clinical uses -complementary use with behavioral results -lie detection -prediction of behavior tendencies (many contexts) -brain/computer interface (potentially clinical)

NIMH: Peter Bandettini, Ph.D. Karen Berman, M.D. James Blair, Ph.D. Robert Cohen, M.D., Ph.D. Christian Grillon, Ph.D. Wayne Drevets, M.D. Ellen Liebenluft, M.D. Daniel Pine, M.D. Jun Shen, Ph.D. Leslie Ungerleider, Ph.D. Daniel Weinberger, M.D. NINDS: Leonardo Cohen, M.D. Jeff Duyn, Ph.D. Jordan Graffman, Ph.D. Mark Hallet, Ph.D. Alan Koretsky, Ph.D. Chrsity Ludlow, Ph.D. NIAAA: Daniel Hommer, M.D. NICHD: Peter Basser, Ph.D. Allen Braun, M.D. Principle Investigators:

Topics Studied with fMRI at the NIH Epilepsy Visual processing Mood disorders Learning Habituation Plasticity/Recovery Motor Function Auditory processing Attention Language Speech Stroke Social Interaction Development Aging Genetics Decision making Mood disorders

Scanners: “3T-1” GE 3T (June 2000) “3T-2” GE 3T (Nov 2002) “FMRIF 1.5T” GE 1.5T (Sept 2004) Currently being Cited GE 3T (Aug 2003) 3T-13T-2 1.5T

Haxby et al (2001)

Comparison of two groups of normal individuals with differences in the Serotonin Transporter Gene

Who we are Unit on Functional Imaging Methods Peter Bandettini (Physics/Physiology/Neuroscience...) Rasmus Birn (Physics) David Knight (Neuroscience) Anthony Boemio (Physics/Neuroscience) Niko Kriegeskorte (Psychology/Statistics) Natalia Petridou (Biomedical Engineering) Ilana Levy (Psychology) Hanh Nguyen (Neuroscience) FMRI Core Facility Jerzy Bodurka (Physics) Sean Marrett (Neuroscience) Frank Ye (Physics) Wen-Ming Luh (Physics) Adam Thomas (Computers/Neurosci) Karen Bove-Bettis (MR Tech) Paula Rowser (MR Tech) Alda Ottley (MR Tech)