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.
|Grimaldi, Piercesare; Saleem, Kadharbatcha S; Tsao, Doris (2016) Anatomical Connections of the Functionally Defined "Face Patches" in the Macaque Monkey. Neuron 90:1325-42|
|BÃ¡ez-Mendoza, Raymundo; Schultz, Wolfram (2016) Performance error-related activity in monkey striatum during social interactions. Sci Rep 6:37199|
|Stauffer, William R; Lak, Armin; Yang, Aimei et al. (2016) Dopamine Neuron-Specific Optogenetic Stimulation in Rhesus Macaques. Cell 166:1564-1571.e6|
|Zangemeister, Leopold; Grabenhorst, Fabian; Schultz, Wolfram (2016) Neural Basis for Economic Saving Strategies in Human Amygdala-Prefrontal Reward Circuits. Curr Biol 26:3004-3013|
|Tyszka, J Michael; Pauli, Wolfgang M (2016) In vivo delineation of subdivisions of the human amygdaloid complex in a high-resolution group template. Hum Brain Mapp 37:3979-3998|
|Schultz, Wolfram (2016) Dopamine reward prediction-error signalling: a two-component response. Nat Rev Neurosci 17:183-95|
|Spunt, Robert P; Kemmerer, David; Adolphs, Ralph (2016) The neural basis of conceptualizing the same action at different levels of abstraction. Soc Cogn Affect Neurosci 11:1141-51|
|Stauffer, William R; Lak, Armin; Kobayashi, Shunsuke et al. (2016) Components and characteristics of the dopamine reward utility signal. J Comp Neurol 524:1699-711|
|Dunne, Simon; D'Souza, Arun; O'Doherty, John P (2016) The involvement of model-based but not model-free learning signals during observational reward learning in the absence of choice. J Neurophysiol 115:3195-203|
|Dubois, Julien; Adolphs, Ralph (2016) Building a Science of Individual Differences from fMRI. Trends Cogn Sci 20:425-43|
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