Don Tucker - US grants
Affiliations: | Florida State University, Tallahassee, FL, United States |
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The funding information displayed below comes from the NIH Research Portfolio Online Reporting Tools and the NSF Award Database.The grant data on this page is limited to grants awarded in the United States and is thus partial. It can nonetheless be used to understand how funding patterns influence mentorship networks and vice-versa, which has deep implications on how research is done.
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High-probability grants
According to our matching algorithm, Don Tucker is the likely recipient of the following grants.Years | Recipients | Code | Title / Keywords | Matching score |
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1987 — 2000 | Tucker, Don M [⬀] | R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. S07Activity Code Description: To strengthen, balance, and stabilize Public Health Service supported biomedical and behavioral research programs at qualifying institutions through flexible funds, awarded on a formula basis, that permit grantee institutions to respond quickly and effectively to emerging needs and opportunities, to enhance creativity and innovation, to support pilot studies, and to improve research resources, both physical and human. |
Depression and Spatial Orienting @ University of Oregon DESCRIPTION (Adapted from applicant's abstract): Clinical depression presents with symptoms at a number of levels, including decreased cognitive and behavioral arousal (psychomotor retardation), a loss of interest in pleasurable activities (anhedonia), a blunting of emotional expressivity (depressed affect), and a distortion of memory and expectancy for personally-relevant life events (depressive cognitive bias). Research is required to explain how the depressive response impairs neuropsychological function at multiple levels of the neuraxis. In previous research, the investigator used electrophysiological and cognitive measures to show that a depressed mood preferentially impairs the right hemisphere's attentional function, providing a theoretical model that may help explain arousal, attention, memory and affective experience. In the present research, the investigator extends this work with improved behavioral paradigms, with dense sensor array measures of brain electrical activity, and with clinical recruitment and evaluation procedures that target melancholic depression. The combination of these electrophysiologic and cognitive measures may provide new insight into the mechanisms of positive arousal (depression-elation), negative arousal (calmness-anxiety), and how they modulate the memory operations of corticolimbic networks. The specific measurement of spatial memory skills will test the theoretical model that positive arousal is particularly important to the dorsal corticolimbic pathway which is integral not only to spatial memory but to the right hemisphere's role in affective communication and cognition. More generally, the integration of neurophysiological with cognitive studies may help bridge the gap between biological and psychological approaches to depression. |
0.91 |
1989 — 2006 | Tucker, Don M [⬀] | R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Depression and Anxiety as Neural Control Processes @ University of Oregon |
0.91 |
1992 | Tucker, Don M [⬀] | T32Activity Code Description: To enable institutions to make National Research Service Awards to individuals selected by them for predoctoral and postdoctoral research training in specified shortage areas. |
@ University of Oregon |
0.91 |
1992 — 1993 | Tucker, Don M [⬀] | R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Depression &Anxiety as Neural Control Processes @ University of Oregon Depression and anxiety are often seen as pathological emotional states, without adaptive value. Although they may become pathological, for the normal person these emotions may be essential control processes, guides for directing thought and behavior. Understanding the distortions of judgment caused by anxiety and depression may first require understanding the adaptive process through which emotional responses to life events regulate the cognitive appraisal of those events. Emotions may influence multiple levels of neural organization, including elementary brainstem arousal mechanisms, limbic representations of threat and pleasure, and differential hemispheric contributions to cognitive representation. In the initial studies of our research project, subjects who adopted an optimistic emotional mood showed a pattern of brain electrical activity indicating a priming or facilitation of the perception of favorable outcomes as they read brief stories of daily life events. Subjects adopting a pessimistic mood showed a brain electrical pattern reflecting their expectation of unfavorable outcomes to the stories. These results suggest that a person's current mood state primes mood-congruent domains of expectation. The proposed research (1) replicates this mood induction study with improved, high-density arrays (64- and 128-channels) of scalp electrodes, (2) introduces improved signal analysis methods for assessing the time course and scalp topography of the brain electrical activity, (3) applies the new methods to examine the cognitive influences of the naturalistic mood states of subjects experiencing clinically significant depression and anxiety, and (4) extends the analysis to examine emotional influences on the process of self-evaluation. |
0.91 |
2003 — 2007 | Nunnally, Ray Tucker, Don (co-PI) [⬀] Posner, Michael (co-PI) [⬀] Conery, John (co-PI) [⬀] Malony, Allen [⬀] |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
@ University of Oregon Eugene Future progress in cognitive neuroscience research will rely increasingly on the application of systems for high-performance computation and high-volume data management to address the challenges of integrated neuroimaging, multi-modality sensor fusion, and cognitive modeling. |
0.939 |
2010 — 2013 | Guenza, Marina (co-PI) [⬀] Tucker, Don (co-PI) [⬀] Conery, John (co-PI) [⬀] Malony, Allen [⬀] Lockery, Shawn (co-PI) [⬀] |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Mri-R2: Acquisition of An Applied Computational Instrument @ University of Oregon Eugene This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). |
0.939 |