Most foods and beverages have 'tastes' (or, more appropriately, 'flavors'), and these result from the integration of neural inputs deriving from several sense modalities: gustation, or taste proper; olfaction; and even somatosensation (touch, temperature, sometimes pungency or irritation). Further, most stimuli that produce perceptions of taste and flavor consist of mixtures of large numbers of individual chemical constituents, and the perception of mixtures depends ultimately on central neural mechanisms that integrate signals arising within and among modalities. The present research focuses on mechanisms underlying the detection, by humans, of taste mixtures (mixtures of gustatory stimuli) and taste-olfactory mixtures (mixtures of gustatory and olfactory stimuli) when stimuli are flowed over the tongue or taken into the mouth. It is likely that at least four neural channels can operate independently in the threshold-level detection of gustatory and olfactory taste/flavor stimuli. Given this, and given that detection reflects discrimination of signal from noise (signal detection theory), a series of experiments will test the predictions of a quantitative model of central integration of statistically independent channels. This model, the integration model, predicts partial summation of signals arising from stimuli that activate independent channels. Tested also are two alternative quantitative models. One of these, a model of complete independence, predicts probability summation, which implies less summation than that predicted by the integration model; the other alternative, stimulus summation, is a model that assumes that stimuli have additive effects within a single channel, and this model typically predicts greater summation than does the integration model. The first set of experiments measures sensitivity to mixtures of gustatory and olfactory stimuli taken in the mouth. The second set of experiments measures sensitivity to mixtures of gustatory stimuli. The third set of experiments asks whether subjects are able to use probability summation to improve the detection of taste-olfaction mixtures. And the fourth set of experiments tests the hypothesis that channel-independence will fail in a paradigm of cross-channel cross modal, gustatory-olfactory) masking, when background maskers are well above threshold. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Research Project (R01)
Project #
1R01DC006688-01
Application #
6766238
Study Section
Somatosensory and Chemosensory Systems Study Section (SCS)
Program Officer
Davis, Barry
Project Start
2004-04-21
Project End
2007-03-31
Budget Start
2004-04-21
Budget End
2005-03-31
Support Year
1
Fiscal Year
2004
Total Cost
$263,545
Indirect Cost
Name
John B. Pierce Laboratory, Inc.
Department
Type
DUNS #
010139210
City
New Haven
State
CT
Country
United States
Zip Code
06519
Marks, Lawrence E; Veldhuizen, Maria G; Shepard, Timothy G et al. (2012) Detecting gustatory-olfactory flavor mixtures: models of probability summation. Chem Senses 37:263-77
Marks, Lawrence E; Elgart, Benjamin Z; Burger, Kelly et al. (2007) Human flavor perception: Application of information integration theory. Teor Model 1:121-132