Selective attention is a cognitive ability that enables the processing of relevant stimuli while minimizing interference from irrelevant and/or distracting events. An overall goal of the research proposed here is to elucidate the neural mechanisms of attentional processes in order to test specific models of voluntary attention and provide basic science information relevant to the diagnosis and treatment of disorders that include deficits of attention. In conjunction with psychophysical measures, event-related potentials (ERPs) and oscillatory activity in the electroencephalogram (EEG) will provide high temporal resolution measures of neural activity supporting attentional control and stimulus selection. Functional magnetic resonance imaging (fMRI) will be employed to identify the neuroanatomical systems and networks involved in attentional control and selection. This application has three specific aims: (1) Determine how changes in background neural activity in visual cortex during preparatory attention influence selective sensory processing and performance;(2) Determine the role of preparatory attention in establishing the locus of attentional selection during ascending sensory processing;and (3) Determine the mechanisms of target facilitation and distractor inhibition processes in attentional selection. Throughout the proposed research, the combined use of EEG/ERPs and fMRI will provide complementary measures of the time course and functional anatomy of attentional mechanisms.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH055714-13
Application #
8091410
Study Section
Cognitive Neuroscience Study Section (COG)
Program Officer
Rossi, Andrew
Project Start
1997-04-01
Project End
2013-11-30
Budget Start
2011-06-01
Budget End
2013-11-30
Support Year
13
Fiscal Year
2011
Total Cost
$317,576
Indirect Cost
Name
University of California Davis
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
047120084
City
Davis
State
CA
Country
United States
Zip Code
95618
Liu, Yuelu; Hong, Xiangfei; Bengson, Jesse J et al. (2017) Deciding where to attend: Large-scale network mechanisms underlying attention and intention revealed by graph-theoretic analysis. Neuroimage 157:45-60
Blais, Chris; Hubbard, Emily; Mangun, George R (2016) ERP Evidence for Implicit Priming of Top-Down Control of Attention. J Cogn Neurosci 28:763-72
Liu, Yuelu; Bengson, Jesse; Huang, Haiqing et al. (2016) Top-down Modulation of Neural Activity in Anticipatory Visual Attention: Control Mechanisms Revealed by Simultaneous EEG-fMRI. Cereb Cortex 26:517-29
Hong, Xiangfei; Sun, Junfeng; Bengson, Jesse J et al. (2015) Normal aging selectively diminishes alpha lateralization in visual spatial attention. Neuroimage 106:353-63
Mazaheri, Ali; Fassbender, Catherine; Coffey-Corina, Sharon et al. (2014) Differential oscillatory electroencephalogram between attention-deficit/hyperactivity disorder subtypes and typically developing adolescents. Biol Psychiatry 76:422-9
Bastos, Andre M; Briggs, Farran; Alitto, Henry J et al. (2014) Simultaneous recordings from the primary visual cortex and lateral geniculate nucleus reveal rhythmic interactions and a cortical source for ?-band oscillations. J Neurosci 34:7639-44
Bengson, Jesse J; Kelley, Todd A; Zhang, Xiaoke et al. (2014) Spontaneous neural fluctuations predict decisions to attend. J Cogn Neurosci 26:2578-84
Briggs, Farran; Mangun, George R; Usrey, W Martin (2013) Attention enhances synaptic efficacy and the signal-to-noise ratio in neural circuits. Nature 499:476-80
Bastos, Andre M; Usrey, W Martin; Adams, Rick A et al. (2012) Canonical microcircuits for predictive coding. Neuron 76:695-711
Bengson, Jesse J; Mangun, George R; Mazaheri, Ali (2012) The neural markers of an imminent failure of response inhibition. Neuroimage 59:1534-9

Showing the most recent 10 out of 35 publications