The ability to selectively focus attention on portions of our sensory input is a critical brain function that enables us to enhance the processing of high priority stimuli in the environment. For example, a person can listen selectively to one speaker's voice while tuning out several other simultaneous conversations. With vision, attending to a particular part of the visual field results in faster and better discrimination of stimuli in that region of space. The selective averaging capabilities and high temporal resolution of event-related potentials (ERPs) have provided considerable insight into the timing of attention-related brain mechanisms; however, it has proven difficult to precisely specify their anatomical sources. Studies of attention using positron emission tomography (PET) and block-design functional magnetic resonance imaging (fMRI), on the other hand, have identified a number of key brain regions that are part of the circuitry underlying attention, but these studies do not provide information on the timing of the neural activity in the identified brain regions. The present project combines ERPs with fMRI to study both the functional neuroanatomy and timing of visual and auditory attention mechanisms, including attentional filtering of sensory inputs in visual and auditory cortices, the relationship between voluntary attention and putatively automatic sensory-analysis processes, and the neural circuitry of top-down attentional control. Toward these goals, we will incorporate analytic methods that will permit the isolation of brain activity for different aspects of attention and task performance. Five studies -- two visual, two auditory, and one combined auditory and visual -- are proposed, in which normal subjects will perform attention tasks while fMRI scans and high-density ERPs of their brain activity are recorded. These functional imaging data sets will be combined and mapped onto the corresponding structural MM images to investigate the functional circuitry and mechanisms underlying visual and auditory attention in humans. This research has important implications for mental health problems, because disturbances in selective attention contribute to various clinical disorders, including schizophrenia, attention deficit disorder, Alzheimer's disease, hemineglect syndrome, and learning disabilities. The proposed experiments will enhance our understanding of the activation patterns and mechanisms underlying both normal and disordered attention.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH060415-04
Application #
6735683
Study Section
Integrative, Functional and Cognitive Neuroscience 8 (IFCN)
Program Officer
Anderson, Kathleen C
Project Start
2001-04-05
Project End
2006-03-31
Budget Start
2004-05-01
Budget End
2005-03-31
Support Year
4
Fiscal Year
2004
Total Cost
$343,800
Indirect Cost
Name
Duke University
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Fornaciai, Michele; Brannon, Elizabeth M; Woldorff, Marty G et al. (2017) Numerosity processing in early visual cortex. Neuroimage 157:429-438
Green, Jessica J; Boehler, Carsten N; Roberts, Kenneth C et al. (2017) Cortical and Subcortical Coordination of Visual Spatial Attention Revealed by Simultaneous EEG-fMRI Recording. J Neurosci 37:7803-7810
Marini, Francesco; Demeter, Elise; Roberts, Kenneth C et al. (2016) Orchestrating Proactive and Reactive Mechanisms for Filtering Distracting Information: Brain-Behavior Relationships Revealed by a Mixed-Design fMRI Study. J Neurosci 36:988-1000
van den Berg, Berry; Appelbaum, Lawrence G; Clark, Kait et al. (2016) Visual search performance is predicted by both prestimulus and poststimulus electrical brain activity. Sci Rep 6:37718
Park, Joonkoo; DeWind, Nicholas K; Woldorff, Marty G et al. (2016) Rapid and Direct Encoding of Numerosity in the Visual Stream. Cereb Cortex 26:748-763
Donohue, Sarah E; Appelbaum, Lawrence G; McKay, Cameron C et al. (2016) The neural dynamics of stimulus and response conflict processing as a function of response complexity and task demands. Neuropsychologia 84:14-28
San Martín, René; Appelbaum, Lawrence G; Huettel, Scott A et al. (2016) Cortical Brain Activity Reflecting Attentional Biasing Toward Reward-Predicting Cues Covaries with Economic Decision-Making Performance. Cereb Cortex 26:1-11
Langford, Zachary D; Krebs, Ruth M; Talsma, Durk et al. (2016) Strategic down-regulation of attentional resources as a mechanism of proactive response inhibition. Eur J Neurosci 44:2095-103
Clark, Kait; Appelbaum, L Gregory; van den Berg, Berry et al. (2015) Improvement in visual search with practice: mapping learning-related changes in neurocognitive stages of processing. J Neurosci 35:5351-9
Marini, Francesco; van den Berg, Berry; Woldorff, Marty G (2015) Reward-prospect interacts with trial-by-trial preparation for potential distraction. Vis cogn 23:313-335

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