Assessing the Validity of Brain Glucose Concentration Measurement Using Microdialysis

Brain functions, such as learning, orchestrating locomotion, memory recall, and processing information, all require glucose as a source of energy. During these functions, the glucose concentration decreases as the glucose is being consumed by brain cells. By measuring this drop in concentration, it is possible to determine which parts of the brain are used during specific functions and consequently, how much energy the brain requires to complete the function. One way to measure in vivo brain glucose levels is with a microdialysis probe. The drawback of this analytical procedure, as with many steadystate fluid flow systems, is that the probe fluid will not reach equilibrium with the brain fluid. Therefore, brain concentration is inferred by taking samples at multiple inlet glucose concentrations and finding a point of convergence. The goal of this thesis is to create a three-dimensional, time-dependent, finite element representation of the brainprobe system in COMSOL 4.2 that describes the diffusion and convection of glucose. Once validated with experimental results, this model can then be used to test parameters that experiments cannot access. When simulations were run using published values for physical constants (i.e. diffusivities, density and viscosity), the resulting glucose model concentrations were within the error of the experimental data. This verifies that the model is an accurate representation of the physical system. In addition to accurately describing the experimental brain-probe system, the model I created is able to show the validity of zero-net-flux for a given experiment. A useful discovery is that the slope of the zero-net-flux line is dependent on perfusate flow rate and diffusion coefficients, but it is independent of brain glucose concentrations. The model was simplified with the realization that the perfusate is at thermal equilibrium with the brain throughout the active region of the probe. This allowed for the assumption that all model parameters are temperature independent. The time to steady-state for the probe is approximately one minute. However, the signal degrades in the exit tubing due to Taylor dispersion, on the order of two minutes for two meters of tubing. Given an analytical instrument requiring a five μL aliquot, the smallest brain process measurable for this system is 13 minutes.

Memory for Tune Titles after Organized or Unorganized Presentation

Two experiments investigated the structure of memory for titles of 54 familiar tunes. The titles were presented in the form of a hierarchy, with nodes labeled by genre (e.g., Rock or Patriotic). Four groups of subjects received logical or randomized titles, and logical or randomized labels. Goodness of label and title structure had equal and additive beneficial effects on recall with a 3-min exposure of the stimuli. With a 4-min exposure, good title structure became a larger contributor to good recall. Clustering analyses suggested that subjects were mentally representing the tune titles hierarchically, even when presentation was random.

Musical Expertise and Melodic Structure in Memory for Musical Notation

Two experiments plus a pilot investigated the role of melodic structure on short-term memory for musical notation by musicians and nonmusicians. In the pilot experiment, visually similar melodies that had been rated as either "good" or "bad" were presented briefly, followed by a 15-sec retention interval and then recall. Musicians remembered good melodies better than they remembered bad ones: nonmusicians did not distinguish between them. In the second experiment, good, bad, and random melodies were briefly presented, followed by immediate recall. The advantage of musicians over nonmusicians decreased as the melody type progressed from good to bad to random. In the third experiment, musicians and nonmusicians divided the stimulus melodies into groups. For each melody, the consistency of grouping was correlated with memory performance in the first two experiments. Evidence was found for use of musical groupings by musicians and for use of a simple visual strategy by nonmusicians. The nature of these musical groupings and how they may be learned are considered. The relation of this work to other studies of comprehension of symbolic diagrams is also discussed.

The organization of memory for familiar songs

Investigated the organizing principles in memory for familiar songs in 2 experiments. It was hypothesized that individuals do not store and remember each song in isolation. Rather, there exists a rich system of relationships among tunes that can be revealed through similarity rating studies and memory tasks. One initial assumption was the division of relations among tunes into musical (e.g., tempo, rhythm) and nonmusical similarity. In Exp I, 20 undergraduates were asked to sort 60 familiar tunes into groups according to both musical and nonmusical criteria. Clustering analyses showed clear patterns of nonmusical similarity but few instances of musical similarity. Exp II, with 16 Ss, explored the psychological validity of the nonmusical relationships revealed in Exp I. A speeded verification task showed that songs similar to each other are confused more often than are distantly related songs. A free-recall task showed greater clustering for closely related songs than for distantly related ones. The relationship between these studies and studies of semantic memory is discussed. Also, the contribution of musical training and individual knowledge to the organization of the memory system is considered. (19 ref) (PsycINFO Database Record (c) 2012 APA, all rights reserved)