Sean C. Hinton

Transdermal nicotine effects on attention

Abstract Nicotine has been shown to improve attentiveness in smokers and attenuate attentional deficits in Alzheimer’s disease patients, schizophrenics and adults with attention-deficit/hyperactivity disorder (ADHD). The current study was conducted to determine whether nicotine administered via transdermal patches would improve attentiveness in non-smoking adults without attentional deficits. The subjects underwent the nicotine and placebo exposure in a counterbalanced double-blind manner. Measures of treatment effect included the Profile of Mood States (POMS), Conners’ computerized Continuous Performance Test (CPT) of attentiveness and a computerized interval-timing task. The subjects were administered a 7 mg/day nicotine transdermal patch for 4.5 h during a morning session. Nicotine significantly increased self-perceived vigor as measured by the POMS test. On the CPT, nicotine significantly decreased the number of errors of omission without causing increases in either errors of commission or correct hit reaction time. Nicotine also significantly decreased the variance of hit reaction time and the composite measure of attentiveness. This study shows that, in addition to reducing attentional impairment, nicotine administered via transdermal patches can improve attentiveness in normal adult nonsmokers.

Scalar expectancy theory and peak-interval timing in humans

The properties of the internal clock, temporal memory, and decision processes used to time short durations were investigated. The peak-interval procedure was used to evaluate the timing of 8-, 12-, and 21-s intervals, and analyses were conducted on the mean response functions and on individual trials. A distractor task prevented counting, and visual feedback on accuracy and precision was provided after each trial. Mean response distributions were (a) centered at the appropriate real-time criteria, (b) highly symmetrical, and (c) scalar in their variability. Analysis of individual trials indicated more memory variability relative to response threshold variability. Taken together, these results demonstrate that humans show the same qualitative timing properties that other animals do, but with some quantitative differences.

Neural Modulation of Temporal Encoding, Maintenance, and Decision Processes

Time perception emerges from an interaction among multiple processes that are normally intertwined. Therefore, a challenge has been to disentangle timekeeping from other processes. Though the striatum has been implicated in interval timing, it also modulates nontemporal processes such as working memory. To distinguish these processes, we separated neural activation associated with encoding, working-memory maintenance, and decision phases of a time-perception task. We also asked whether neuronal processing of duration (i.e., pure tone) was distinct from the processing of identity (i.e., pitch perception) or sensorimotor features (i.e., control task). Striatal activation was greater when encoding the duration than the pitch or basic sensory features, which did not differentially engage the striatum. During the maintenance phase, striatal activation was similar for duration and pitch but at baseline in the control task. In the decision phase, a stepwise reduction in striatal activation was found across the 3 tasks, with activation greatest in the timing task and weakest in the control task. Task-related striatal activations in different cognitive phases were distinguished from those of the supplementary motor area, inferior frontal gyrus, thalamus, frontoparietal cortices, and the cerebellum. Our results were consistent with a model in which timing emerges from context-dependent corticostriatal interactions.

Motor timing variability increases in preclinical Huntington's disease patients as estimated onset of motor symptoms approaches.

Huntingtons disease (HD) is a neurodegenerative disorder diagnosed clinically with the development of choreiform movements. However, neuropsychological studies have demonstrated cognitive and psychiatric changes during the preclinical phase (pre-HD) prior to formal diagnosis. Previous studies have demonstrated the sensitivity of time reproduction tasks to basal ganglia pathology, as seen in clinical HD and Parkinsons disease. In this study, 29 pre-HD participants, ranging from 3 to 39 years from estimated onset (YEO) of HD based on genetic testing and chronological age, were administered the paced finger-tapping task using target intervals of 600 and 1200 ms. Mean inter-response interval, a measure of timing accuracy, did not systematically deviate from the target interval as a function of YEO. In contrast, timing variability increased curvilinearly as a function of YEO, but not with chronological age alone. Motor timing variability, but not accuracy, may serve as a marker to define the earliest behavioral changes in HD. The present study is among the first to examine the relationship between behavioral measures and YEO in pre-HD.

Chapter 10 How time flies: Functional and neural mechanisms of interval timing

Publisher Summary This chapter shows how psychological, biological, and mathematical analyses may be applied to particular patterns of data produced by rats, pigeons, and humans performing variations of a time perception task known as the peak-interval (PI) procedure. First, the origins of the PI procedure and its many variations are discussed. Second, a number of models that attempt to account for the different observations of temporal performance are described, although the primary focus will be on scalar timing theory, a derivative of Scalar Expectancy Theory (SET) and the information-processing (IP) model that grew out of it. Using this theory, a quantitative description of the patterns of data obtained using the PI procedure is linked to different psychological constructs such as the internal clock, memory, and attention, and to some of their biological underpinnings. Finally, research using PI procedure tasks is discussed along with what it has disclosed about the substrates of the central nervous system that are involved in timing intervals in the seconds-to-minutes range.

“One-thousandone … one-thousandtwo …”: Chronometric counting violates the scalar property in interval timing

Medical College of Wisconsin, Milwaukee, Wisconsin Weber’s law applied to interval timing is called thescalar property. A hallmark of timing in the secondsto-minutes range, the scalar property is characterized by proportionality between the standard deviation of a response distribution and the duration being timed. In this temporal reproduction study, we assessed whether the scalar property was upheld when participants chronometrically counted three visually presented durations (8, 16, and 24 sec) as compared with explicitly timing durations without counting. Accuracy for timing and accuracy for counting were similar. However, whereas timing variability showed the scalar property, counting variability did not. Counting variability across intervals was accurately modeled by summing a random variable representing an individual count. A second experiment replicated the first and demonstrated that task differences were not due to presentation order or practice effects. The distinct psychophysical properties of counting and timing behaviors argue for greater attention to participant strategies in timing studies.