Building on the prior Projects, this last Project will take our investigations of the social decision-making system to the network level and investigate the influences among its components using techniques such as pharmacological inactivation, rare human lesion subjects, diffusion imaging, BOLD coherence and spike-field coherence. It will pave the way for major future efforts, beyond the scope of the present application, eventually to understand the complete functional architecture for social decision-making implemented by a spatially distributed neural system. Specifically, we will focus on how the components of the system identified in the other Projects (e.g., amygdala, dorsolateral and orbital prefrontal cortex) interact. This requires investigations of two kinds: (1) demonstration of the functional effects on one another (Aims 1-2), and (2) characterization of their connectivity (Aims 3-4). This Project features a very close integration of studies in humans and monkeys, uses a diverse set of approaches ranging from diffusion imaging to tracer studies to pharmacological inactivation and spike-field coherence, and leverages many of the data collected under the other Projects. There are four Specific Aims: (1) to characterize interactions between prefrontal and amygdala regions in monkeys and humans using spike-field coherence (collaboration with Dr Doris Tsao);(2) to investigate causal influences of the amygdala on the prefrontal cortex using reversible pharmacological inactivation in monkeys and study of rare human lesion subjects (collaboration with Dr. Richard Andersen);(3) to describe structural and functional connectivity networks in monkeys (4) to describe structural and functional connectivity networks in humans. This final Project thus extends the studies from the prior Projects to the network level, and brings together many of the PIs from the prior Projects.

Public Health Relevance

Many mental illnesses are thought to arise from abnormal connectivity between different brain regions, rather than merely pathology within a region. Autism, for instance, is now often thought of as a disconnection syndrome. This Project will provide important data towards understanding mental illnessess in which abnormal long-range connectivity plays a role in pathology.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
5P50MH094258-03
Application #
8661299
Study Section
Special Emphasis Panel (ZMH1-ERB-S)
Project Start
Project End
Budget Start
2014-05-01
Budget End
2015-04-30
Support Year
3
Fiscal Year
2014
Total Cost
$370,781
Indirect Cost
$138,896
Name
California Institute of Technology
Department
Type
DUNS #
009584210
City
Pasadena
State
CA
Country
United States
Zip Code
91125
Grimaldi, Piercesare; Saleem, Kadharbatcha S; Tsao, Doris (2016) Anatomical Connections of the Functionally Defined ""Face Patches"" in the Macaque Monkey. Neuron 90:1325-42
Báez-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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