CORE 2. directed by the MR physicist and Associate Director of the Caltech Brain Imaging Center, Dr Michael Tyszka, and co-directed by Ralph Adolphs, will provide the most substantial resources required for the four Projects in this Conte Center. It encompasses three MRI systems for structural and functional imaging of the brain in monkeys and in humans, detailed in the Resources section. It will provide all capabilities for structural, functional, and diffusion magnetic resonance imaging proposed in this Conte Center Application. There are three Aims: providing MR imaging including physical resources, assistance, and billing;providing image quality assurance (QA);providing customized software and hardware development.
Aim 1 is to enable the structural and functional MRI needs of Projects 1-3, and the structural, functional and diffusion MRI needs of Project 4. It includes providing infrastructure, reserving scanners, support staff, and billing, as part of the ongoing duties of the Caltech Brain Imaging Center.
Aim 2 is to assure data quality for the imaging.
This Aim will integrate routine, detailed quality assurance data acquired on all three scanners using an automated centralized reporting system monitoring quality factors ranging from raw SNR to spiking artifact detection.
And Aim 3 is development. State-of-the-art neuroimaging requires continual development beyond available commercial products. This includes pulse sequence programming, image reconstruction programming and coil building, as well as general development of optimized imaging protocols and interfacing with peripherals like eyetrackers and psychophysiology in the scanner. We are aided here substantially by the two consultants on this Core, Drs. Wald and Merkle.

National Institute of Health (NIH)
National Institute of Mental Health (NIMH)
Specialized Center (P50)
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Special Emphasis Panel (ZMH1)
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California Institute of Technology
United States
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Pastor-Bernier, Alexandre; Plott, Charles R; Schultz, Wolfram (2017) Monkeys choose as if maximizing utility compatible with basic principles of revealed preference theory. Proc Natl Acad Sci U S A 114:E1766-E1775
Wang, Shuo; Adolphs, Ralph (2017) Reduced specificity in emotion judgment in people with autism spectrum disorder. Neuropsychologia 99:286-295
Zhang, Carey Y; Aflalo, Tyson; Revechkis, Boris et al. (2017) Partially Mixed Selectivity in Human Posterior Parietal Association Cortex. Neuron 95:697-708.e4
Spunt, Robert P; Ellsworth, Emily; Adolphs, Ralph (2017) The neural basis of understanding the expression of the emotions in man and animals. Soc Cogn Affect Neurosci 12:95-105
Collette, Sven; Pauli, Wolfgang M; Bossaerts, Peter et al. (2017) Neural computations underlying inverse reinforcement learning in the human brain. Elife 6:
Dubois, Julien; Oya, Hiroyuki; Tyszka, J Michael et al. (2017) Causal mapping of emotion networks in the human brain: Framework and initial findings. Neuropsychologia :
Diederen, Kelly M J; Ziauddeen, Hisham; Vestergaard, Martin D et al. (2017) Dopamine Modulates Adaptive Prediction Error Coding in the Human Midbrain and Striatum. J Neurosci 37:1708-1720
Reber, Justin; Feinstein, Justin S; O'Doherty, John P et al. (2017) Selective impairment of goal-directed decision-making following lesions to the human ventromedial prefrontal cortex. Brain 140:1743-1756
Spunt, Robert P; Adolphs, Ralph (2017) The neuroscience of understanding the emotions of others. Neurosci Lett :
Reed, Chrystal M; Birch, Kurtis G; Kami?ski, Jan et al. (2017) Automatic detection of periods of slow wave sleep based on intracranial depth electrode recordings. J Neurosci Methods 282:1-8

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