Among the most important and least understood properties of human brain function is that of top-down control of perceptual and cognitive operations. Cognitive control is what makes people intentional beings rather than stimulus-response automata.
The aim of the proposed research is to investigate the neural basis of attentional control in the human visual system using functional magnetic resonance imaging (fMRI) and suitably designed cognitive paradigms. We have chosen to focus on the visual system because it is arguably the most well understood neural system (at least from a bottom-up perspective), and this knowledge base can be used to guide experiments that investigate top-down control. Much recent work in cognitive neuroscience has revealed the extent to which the neural response of early perceptual regions of the brain (e.g., V1, V4, MT, the Fusiform Face Area) can be modulated by top-down attentional control. However, while these studies of the effects of attentional control are crucial pieces to the puzzle, very few studies have focused on the source of attentional control signals. This is the primary focus of the proposed project.
The specific aims of the project include (1) investigating the neural circuits that are involved in focused attention and in controlling shifts of attention between spatial locations; (2) investigating the control of object-based and feature-based selection, and determining whether they share an anatomical locus with that for location-based selection; and (3) investigating the frontal and posterior areas that control both task-shifting and attention-shifting. Together, the proposed project will significantly advance our understanding of how attentional control is exerted to modulate sensory input, and this in turn will contribute to theories of cognitive control throughout the brain.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
1R01DA013165-01
Application #
6085352
Study Section
Special Emphasis Panel (ZRG1-BBBP-4 (01))
Program Officer
Grant, Steven J
Project Start
2000-08-01
Project End
2005-06-30
Budget Start
2000-08-01
Budget End
2001-06-30
Support Year
1
Fiscal Year
2000
Total Cost
$328,000
Indirect Cost
Name
Johns Hopkins University
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
045911138
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Sali, Anthony W; Anderson, Brian A; Courtney, Susan M (2018) Information processing biases in the brain: Implications for decision-making and self-governance. Neuroethics 11:259-271
Gmeindl, Leon; Jefferies, Lisa N; Yantis, Steven (2018) Attention scaling modulates the effective capacity of visual sensory memory. Psychol Res :
Anderson, Brian A (2017) Counterintuitive effects of negative social feedback on attention. Cogn Emot 31:590-597
Xu, Kitty Z; Anderson, Brian A; Emeric, Erik E et al. (2017) Neural Basis of Cognitive Control over Movement Inhibition: Human fMRI and Primate Electrophysiology Evidence. Neuron 96:1447-1458.e6
Anderson, Brian A; Kuwabara, Hiroto; Wong, Dean F et al. (2017) Linking dopaminergic reward signals to the development of attentional bias: A positron emission tomographic study. Neuroimage 157:27-33
Anderson, Brian A; Chiu, Michelle; DiBartolo, Michelle M et al. (2017) On t?he distinction between value-driven attention and selection history: Evidence from individuals with depressive symptoms. Psychon Bull Rev 24:1636-1642
Anderson, Brian A; Halpern, Madeline (2017) On the value-dependence of value-driven attentional capture. Atten Percept Psychophys 79:1001-1011
Anderson, Brian A; Kuwabara, Hiroto; Wong, Dean F et al. (2016) The Role of Dopamine in Value-Based Attentional Orienting. Curr Biol 26:550-5
Anderson, Brian A (2016) Value-driven attentional capture in the auditory domain. Atten Percept Psychophys 78:242-50
Gmeindl, Leon; Chiu, Yu-Chin; Esterman, Michael S et al. (2016) Tracking the will to attend: Cortical activity indexes self-generated, voluntary shifts of attention. Atten Percept Psychophys 78:2176-84

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