Cindy A. Lustig - US grants
Affiliations: | Psychology | University of Michigan, Ann Arbor, Ann Arbor, MI |
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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, Cindy A. Lustig is the likely recipient of the following grants.Years | Recipients | Code | Title / Keywords | Matching score |
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2007 — 2008 | Lustig, Cindy [⬀] | R03Activity Code Description: To provide research support specifically limited in time and amount for studies in categorical program areas. Small grants provide flexibility for initiating studies which are generally for preliminary short-term projects and are non-renewable. |
Memory Training: Factors Underlying Success and Transfer @ University of Michigan At Ann Arbor [unreadable] DESCRIPTION (provided by applicant): The long-term goal of this project is to improve memory training programs so that they better benefit older adults, particularly those of advanced age or lower initial ability. Memory problems are a major complaint for older adults. Improving training programs to benefit those at greatest disadvantage would address this public concern. These goals are especially relevant to the Behavioral and Social Research division of the National Institute on Aging. The NIA BSR Review Committee Report (May, 2004) specifically identified behavioral interventions to improve cognitive function as an important mission of this agency. It called for greater theoretical depth in this area, and better integration of individual differences and population level research overall. The present proposal integrates an established theoretical perspective and new individual- differences data collected by the PI to inform an experimental manipulation hypothesized to increase training effectiveness. This proposal builds on an extended (seven days) training program that has shown robust, long-lasting benefits to older adults' memory, including successful transfer to other memory tasks (Jennings & Jacoby, 2003; Jennings et al., 2005). This program specifically targets the controlled memory processes that decline most with age (Jennings & Jacoby, 1993; Hasher & Zacks, 1979). It consists of several short study- test cycles during which participants first study a list of words, and then complete a recognition test during which they must discriminate studied words from unstudied words. Unstudied words are repeated during the test period, so that controlled memory processing is required to discriminate between studied and repeated-unstudied words. When a participant reaches criterion at the current level of difficulty, the number of items between repetitions is increased. Participants are thus continuously challenged to increase their engagement of cognitive control. Data collected by the PI leads to the hypothesis that encoding strategy is a major mediator of age and individual differences in the amount of training benefits (Bissig & Lustig, in press; see also Craik & Byrd, 1982). This hypothesis will be tested by enforcing encoding strategies to observe their effects on training benefits, especially for the oldest-old. It is expected that deep, integrateive encoding will lead to substantial benefits in the training task, benefits that may also transfer to other memory tests. Memory problems are a major complaint for older adults. Improving memory programs to benefit those who are at greatest disadvantage would address this public concern. The National Advisory Council on Aging's review of NIA's Behavioral and Social Science Research division (May, 2004) specifically identified behavioral interventions to improve cognitive function as an important mission, called for greater theoretical depth in this area, and encouraged better integration of individual differences and population level research. [unreadable] [unreadable] [unreadable] |
0.915 |
2007 — 2012 | Lustig, Cindy [⬀] Taylor, Stephan |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Acetylcholine, Cortex, and Control @ University of Michigan Ann Arbor In everyday life, we must frequently change our behavior in response to environmental cues and our own internal goals. For example, a stoplight turning green might automatically elicit the response of stepping on the gas pedal to move forward. However, you must change that response if we see a child entering the intersection, or if your goal is to make a left turn. Failures to control behavior in these ways can have important consequences. Research with humans and other primates shows that a network of brain regions including frontal and parietal cortex is important for the cognitive control of behavior. Research with rodents shows that the neurotransmitter acetylcholine is an important chemical messenger used by the brain in situations that require control. With support from the National Science Foundation, Dr. Lustig will use pharmacological fMRI to integrate these two lines of research and establish how acetylcholine influences cognitive control functions in the human brain. Participants will take one of three doses (placebo, low dose, high dose) of a drug that increases acetylcholine's action in the brain by slowing the rate at which it is broken down. They will then undergo functional brain imaging while performing tasks that make low or high demands for the cognitive control of behavior in response to changing environmental cues. The results will answer several important questions about how acetylcholine acts in the human brain to influence the control of behavior. First, they will show which parts of the human frontal-parietal control network are specifically influenced by acetylcholine. Second, they will show whether all aspects of performance are influenced by increased cholinergic function, or only those that make high demands for cognitive control. Third, they will clarify whether acetylcholine has its effects by increasing the engagement of control-related brain regions or by helping those brain regions to act more efficiently. The project also compares several different methods of analyzing pharmacological fMRI data to determine which may be best for future studies examining how different drugs influence brain function. |
0.915 |