Interactions between prefrontal cortex and cerebellum revealed by trace eyelid conditioning

Eyelid conditioning has proven useful for analysis of learning and computation in the cerebellum. Two variants, delay and trace conditioning, differ only by the relative timing of the training stimuli. Despite the subtlety of this difference, trace eyelid conditioning is prevented by lesions of the cerebellum, hippocampus, or medial prefrontal cortex (mPFC), whereas delay eyelid conditioning is prevented by cerebellar lesions and is largely unaffected by forebrain lesions. Here we test whether these lesion results can be explained by two assertions: (1) Cerebellar learning requires temporal overlap between the mossy fiber inputs activated by the tone conditioned stimulus (CS) and the climbing fiber inputs activated by the reinforcing unconditioned stimulus (US), and therefore (2) trace conditioning requires activity that outlasts the presentation of the CS in a subset of mossy fibers separate from those activated directly by the CS. By use of electrical stimulation of mossy fibers as a CS, we show that cerebellar learning during trace eyelid conditioning requires an input that persists during the stimulus-free trace interval. By use of reversible inactivation experiments, we provide evidence that this input arises from the mPFC and arrives at the cerebellum via a previously unidentified site in the pontine nuclei. In light of previous PFC recordings in various species, we suggest that trace eyelid conditioning involves an interaction between the persistent activity of delay cells in mPFC-a putative mechanism of working memory-and motor learning in the cerebellum.Eyelid conditioning is a form of associative learning that has proven useful for mechanistic studies of learning (Thompson 1986). All variants of eyelid conditioning involve pairing a conditioned stimulus (CS, typically a tone) with a reinforcing unconditioned stimulus (US, mild electrical stimulation near the eye) to promote learned eyelid closure in response to the CS (also known as a conditioned response). Delay eyelid conditioning, where the CS and US overlap in time (Fig. 1A , left), is largely unaffected by forebrain lesions (Solomon et al. 1986; Mauk and Thompson 1987; Kronforst-Collins and Disterhoft 1998; Weible et al. 2000; Powell et al. 2001; McLaughlin et al. 2002) and engages the cerebellum relatively directly (but see Halverson and Freeman 2006). Presentation of the tone and the US are conveyed to the cerebellum via activation of mossy fibers and climbing fibers, respectively (Fig. 1B; Mauk et al. 1986; Steinmetz et al. 1987, 1989; Sears and Steinmetz 1991; Hesslow 1994; Hesslow et al. 1999). In addition, output via a cerebellar deep nucleus is required for the expression of conditioned responses (McCormick and Thompson 1984). This relatively direct mapping of stimuli onto inputs and of output onto behavior makes delay eyelid conditioning a powerful tool for the analysis of cerebellar learning and computation (Mauk and Donegan 1997; Medina and Mauk 2000; Medina et al. 2000, 2002; Hansel et al. 2001; Ohyama et al. 2003).Open in a separate windowFigure 1.The procedures, neural pathways, and putative signals involved in delay and trace eyelid conditioning. (A) Stimulus timing for delay (left) and trace (right) training trials. For delay conditioning, the US overlaps in time with the tone CS. In this and subsequent figures, green is used to indicate the presentation of the CS for delay conditioning. For trace conditioning, the US is presented after CS offset, and “trace interval” refers to the period between CS offset and US onset. For convenience, we used red and maroon regions to represent the CS and trace interval, respectively. Sample conditioned eyelid responses are shown below, for which an upward deflection indicates closure of the eyelid. (B) Schematic representation of the pathways engaged by delay conditioning. The CS and US, respectively, engage mossy fibers and climbing fibers relatively directly, and forebrain input is not required for normal learning. (C) The signals hypothesized to engage the cerebellum during trace conditioning. The activity of mossy fibers directly activated by the tone CS does not significantly outlast the stimulus. Thus, a forebrain structure is thought to provide an input that overlaps in time with the US and is necessary to produce cerebellar learning.Trace eyelid conditioning, where the US is presented after tone offset (Fig. 1A, right), has attracted interest for its potential to reveal the nature of interactions between the forebrain and cerebellum as well as the learning mechanisms within these systems. This potential stems from the sensitivity of trace conditioning not only to lesions of cerebellum but also to lesions of hippocampus, medial prefrontal cortex (mPFC), or mediodorsal thalamic nucleus (Woodruff-Pak et al. 1985; Moyer Jr. et al. 1990; Kronforst-Collins and Disterhoft 1998; Weible et al. 2000; Powell et al. 2001; McLaughlin et al. 2002; Powell and Churchwell 2002; Simon et al. 2005). Given the general inability of forebrain lesions to affect delay conditioning, these results have promoted the general interpretation that the forebrain and cerebellum interact to mediate trace conditioning (Weiss and Disterhoft 1996; Clark and Squire 1998; Clark et al. 2002).Here we test the specific hypotheses that (Fig. 1C) (1) cerebellar learning requires that mossy fiber and climbing fiber inputs overlap in time (or nearly so) and (2) that cerebellar learning in trace conditioning occurs in response to a forebrain-driven mossy fiber input that outlasts the CS to overlap with the US rather than the inputs activated by the tone CS (Clark et al. 2002). The data provide direct support for both assertions and, together with recent anatomical studies (Buchanan et al. 1994; Weible et al. 2007), reveal a pathway between the mPFC and cerebellum that is necessary for the expression of trace eyelid responses. When combined with previous recordings from PFC in primates and rodents (Funahashi et al. 1989; Bodner et al. 1996; Fuster et al. 2000; Narayanan and Laubach 2006), these data support the hypothesis that trace eyelid conditioning is mediated by interactions between working memory-related persistent activity in mPFC and motor learning mechanisms in the cerebellum.     

Empathizing with a dissimilar other: the role of self-other distinction in sympathetic responding

Can we empathize effectively with someone who has a different sensitivity to physical events from ours? Or, are we susceptible to an egocentric bias in overprojection, which may lead us to under- or overreact in such cases? In this study, participants with normal visual and auditory capacity observed a video clip in which a sighted or blind target was exposed to a strong flash or high-frequency sound, while their physiological arousals during the observation were recorded. On average, participants displayed a differential arousal pattern to the aversive stimuli, according to the target's ability to perceive them. Degrees of arousal control were also correlated with dispositional differences in empathy. Participants who scored higher on the Empathic Concern subscale of Davis's Interpersonal Reactivity Index were better at controlling arousals in accordance with the Target × Stimulus interaction. The authors' findings have important implications for helping disabled people while respecting their inherent dignity and individual autonomy.     

Extinction as new learning versus unlearning: considerations from a computer simulation of the cerebellum

Like many forms of Pavlovian conditioning, eyelid conditioning displays robust extinction. We used a computer simulation of the cerebellum as a tool to consider the widely accepted view that extinction involves new, inhibitory learning rather than unlearning of acquisition. Previously, this simulation suggested basic mechanistic features of extinction and savings in eyelid conditioning, with predictions born out by experiments. We review previous work showing that the simulation reproduces behavioral phenomena and lesion effects generally taken as evidence that extinction does not reverse acquisition, even though its plasticity is bidirectional with no site dedicated to inhibitory learning per se. In contrast, we show that even though the sites of plasticity are, in general, affected in opposite directions by acquisition and extinction training, most synapses do not return to their naive state after acquisition followed by extinction. These results suggest caution in interpreting a range of observations as necessarily supporting extinction as unlearning or extinction as new inhibitory learning. We argue that the question “is extinction reversal of acquisition or new inhibitory learning?” is therefore not well posed because the answer may depend on factors such as the brain system in question or the level of analysis considered.Pavlovian eyelid conditioning is robustly bidirectional. Conditioned responses that are acquired via training that pairs a conditioned stimulus (CS) with an unconditioned stimulus (US) can be rapidly extinguished with CS-alone training or unpaired CS-US training (Gormezano et al. 1983; Napier et al. 1992; Macrae and Kehoe 1999; Kehoe and Macrae 2002; Kehoe and White 2002; Weidemann and Kehoe 2003). Whether extinction involves unlearning or separate inhibitory learning that suppresses conditioned response expression remains an important issue for both behavioral theories and for investigations of underlying neural mechanisms (Pavlov 1927; Hull 1943; Konorski 1948, 1967; Rescorla and Wagner 1972; Mackintosh 1974; Rescorla 1979; Bouton 1993, 2002; Falls 1998; Myers and Davis 2002; Kehoe and White 2002). Here, we addressed this issue using a computer simulation of the cerebellum that is capable of emulating many aspects of eyelid conditioning. Although simulation results cannot resolve such issues, several aspects of the simulation''s behavior are instructive. Even though the sites of plasticity are, in general, affected in opposite directions by acquisition and extinction training, the simulation can emulate several behavioral phenomena that are generally taken as evidence that extinction does not involve unlearning. Moreover, we found that the strengths of most synapses are quite different from their naive state following acquisition and then extinction. Independent of the overall biological accuracy of this simulation, these results highlight a variety of implications for ongoing debates about the roles of unlearning versus new learning in extinction.A combination of factors makes it possible to analyze the neural basis of eyelid conditioning in detail, and to build and test computer simulations of its cerebellar mechanisms (Medina and Mauk 2000). Foremost among these is the close association between eyelid conditioning and the cerebellum (Thompson 1986; Raymond et al. 1996; Mauk and Donegan 1997). Previous studies from several labs have shown that (1) cerebellar output drives the motor pathways that produce the conditioned responses (McCormick and Thompson 1984), (2) presentation of a CS is conveyed to the cerebellum via activation of certain of its mossy fiber inputs (Steinmetz et al. 1986; Hesslow et al. 1999), and (3) presentation of the US is conveyed via activation of certain climbing fiber inputs to the cerebellum (Fig. 1A; Mauk et al. 1986). These factors are complemented by the extent to which the synaptic organization and physiology of the cerebellum are known (Eccles et al. 1967; Ito 1984), as are the behavioral properties of eyelid conditioning (Gormezano et al. 1983; Kehoe and Macrae 2002). These advantages combine with the speed of current computers to make possible the construction of biologically detailed and large-scale computer simulations of the cerebellum that can then be thoroughly tested using standard eyelid conditioning protocols (Medina et al. 2000, 2001, 2002; Medina and Mauk 1999, 2000).Open in a separate windowFigure 1Emulation of eyelid conditioning in a computer simulation of the cerebellum. (A) A schematic representation of the simulation and how it was trained using an eyelid conditioning-like protocol. The output of the simulation comes from the summed activity of the six cerebellar deep nucleus cells (blue box). The CS was conveyed to the simulation by phasic activation of 18 of the 600 mossy fibers and tonic activation of six mossy fibers (green box). The US was emulated by a brief excitatory conductance applied to the single climbing fiber. The remainder of the simulation consisted of 10,000 granule cells, 900 Golgi cells, 20 stellate/basket cells, and 20 Purkinje cells with essentials of the connectivity as shown. (B) Acquisition, extinction, and savings by the simulation. Each panel shows the equivalent of 10 d of acquisition (left panel), extinction (center), and reacquisition (right) training. Individual sweeps are averages of 10 trials, which are clustered together to approximate the equivalent of one daily session of eyelid conditioning. These sessions are numbered at the left, progressing from front to back. The blue portion of the sweeps denotes the presence of the CS. (C) The strength of the mossy fiber-to-nucleus synapses in the simulation over the three phases of training. The synapses that progressively increase in strength during acquisition and reacquisition and decrease during extinction are the six that are tonically activated by the CS. Note that extinction training only slowly and thus incompletely reverses the strengthened synapses. Savings during reacquisition in the simulation is largely attributable to this residual plasticity. The continued increase in the strength of these synapses does not produce a comparable increase in response amplitude, rather, it reflects the tendency for the network to transfer plasticity from cortex (pauses in Purkinje activity produced by LTD) to the nucleus (increased strength of mossy fiber-to-nucleus synapses). How long this process continues depends on a number of unknown factors.The present results are more easily appreciated with a brief review of previous studies (Medina et al. 2000, 2001, 2002) showing how the simulation emulates acquisition, extinction, and savings during reacquisition. These phenomena are shown for the simulation in the three panels of Figure 1B. The underlying essential elements can be summarized briefly. Presentation of a CS activates subsets of granule cells, and these subsets change somewhat over the duration of the CS. Paired training induces long-term depression (LTD) at CS-activated granule-to-Purkinje synapses that are activated when the US is presented. This leads to a learned and well timed decrease in the activity of Purkinje cells during the CS (Hesslow and Ivarsson 1994), which leads to the induction of long-term potentiation (LTP) at mossy fiber-to-nucleus synapses activated by the CS. As this plasticity develops, nucleus cells encounter during the CS strong excitation combined with release from inhibition and therefore discharge robustly, thereby driving the expression of conditioned responses (McCormick and Thompson 1984). These steps suggest that learning first occurs in the cerebellar cortex, before robust conditioned responses are seen. We have observed evidence for this latent learning in cerebellar cortex (Ohyama and Mauk 2001).During extinction, CS-activated granule-to-Purkinje synapses undergo LTP because their activation occurs in the absence of climbing fiber activity. The essential suppression of climbing fiber activity below the typical level of 1 Hz is produced by inhibition from cerebellar output (Sears and Steinmetz 1991; Hesslow and Ivarsson 1996; Kenyon et al. 1998a,b; Miall et al. 1998), which is robust during the expression of conditioned responses. This prediction of the simulation is supported by observations that blocking inhibition of climbing fibers prevents extinction (Medina et al. 2002).We have shown previously that savings during reacquisition results, at least in part, from plasticity in the cerebellar deep nucleus that is relatively resistant to extinction (Medina et al. 2001). The strengths of the CS-activated mossy fiber-to-nucleus synapses in the simulation are shown in Figure 1C for acquisition, extinction, and reacquisition. Because learned pauses in Purkinje cell activity are still present early in extinction training, the strengths of CS-activated mossy fiber-to-nucleus synapses continue to increase. Once conditioned responses are fully extinguished, due to the restoration of robust Purkinje cell activity during the CS via the induction of LTP at CS-activated granule-to-Purkinje synapses, then CS-activated mossy fiber-to-nucleus synapses begin to undergo LTD and decrease in strength. The rate at which these synapses decrease in strength with additional extinction training depends on unknown factors such as the level of Purkinje activity required for induction of LTD. These results show in principle, however, that plasticity in the cerebellar cortex is sufficient to extinguish conditioned responses, and that a network displaying fully extinguished conditioned responses can still contain strengthened mossy fiber-to-nucleus synapses. In the simulation, savings occur largely because this residual plasticity in the cerebellar nucleus enhances the conditioned responses produced by the relearning of decreased activity in the Purkinje cells. In support, we have shown in rabbits that plasticity in the cerebellar nucleus persists following extinction, and that a measure of the magnitude of this residual plasticity correlates with the rate of reacquisition (Medina et al. 2001).Here, we used the mechanisms of extinction in this simulation to stimulate discussion regarding the issue of extinction as unlearning versus extinction as new learning.     

Stimulus generalization of conditioned eyelid responses produced without cerebellar cortex: implications for plasticity in the cerebellar nuclei

In Pavlovian eyelid conditioning and adaptation of the vestibulo-ocular reflex, cerebellar cortex lesions fail to completely abolish previously acquired learning, indicating an additional site of plasticity in the deep cerebellar or vestibular nucleus. Three forms of plasticity are known to occur in the deep cerebellar nuclei: formation of new synapses, plasticity at existing synapses, and changes in intrinsic excitability. Only a cell-wide increase in excitability predicts that learning should generalize broadly from a training stimulus to other stimuli capable of supporting learning, whereas the alternatives predict that learning should be relatively specific to the training stimulus. Here we show that deep nucleus plasticity, as assessed by conditioned eyelid responses produced without input from the cerebellar cortex, is relatively specific to the training conditioned stimulus (CS). We trained rabbits to a tone or light CS with periorbital stimulation as the unconditioned stimulus (US), and pharmacologically disconnected the cerebellar cortex during a posttraining generalization test. The short-latency conditioned responses unmasked by this treatment showed strong decrement along the dimension of auditory frequency and did not generalize across stimulus modalities. These results cannot be explained solely by a cell-wide increase in the excitability of deep nucleus neurons, and imply that an input-specific mechanism in the deep cerebellar nucleus operates as well.     

Kripke Incompleteness of Predicate Extensions of the Modal Logics Axiomatized by a Canonical Formula for a Frame with a Nontrivial Cluster

We generalize the incompleteness proof of the modal predicate logic Q-S4+ p p + BF described in Hughes-Cresswell [6]. As a corollary, we show that, for every subframe logic Lcontaining S4, Kripke completeness of Q-L+ BF implies the finite embedding property of L.     

Hydrogen-assisted damage in austenite/martensite dual-phase steel

For understanding the underlying hydrogen embrittlement mechanism in transformation-induced plasticity steels, the process of damage evolution in a model austenite/martensite dual-phase microstructure following hydrogenation was investigated through multi-scale electron channelling contrast imaging and in situ optical microscopy. Localized diffusible hydrogen in martensite causes cracking through two mechanisms: (1) interaction between {1?1?0}_M localized slip and {1?1?2}_M twin and (2) cracking of martensite–martensite grain interfaces. The former resulted in nanovoids along the {1?1?2}_M twin. The coalescence of the nanovoids generated plate-like microvoids. The latter caused shear localization on the specific plane where the crack along the martensite/martensite boundary exists, which led to additional martensite/martensite boundary cracking.     

Visual Evoked Potentials to Geometric Forms: Effects of Spatial Orientation

Five outlined geometric figures of equal contour length were presented monocularly below the fixation point (FP); an upright equilateral triangle (upright triangle), an inverted equilateral triangle (inverted triangle), an upright square (square), a 45°-tilted square (diamond) and a circle. The angular separation between FP and the top of the figures was held constant. Transient visual evoked potentials (VEPs) were recorded monopolarly from inion, 4, 7, 10 cm above it (l, l4, l7, l10) and Cz for ten subjects. The grand-averaged subtracted waves were obtained between the figure and blank (control) conditions. N1 (mean peak latency: 155 ms) and P2 (240 ms) waves were identified. ANOVAs were conducted for the latency and amplitude values. Main results were as follows: On the N1 amplitude at l4 and l, the upright triangle, inverted triangle and diamond figures evoked significantly larger responses than did the square and the circle. However, no significant difference was found among the former three figures. These findings on the N1 amplitude suggest that the effect of a triangle is orientation-free and that of a square is orientation-bound.     

Beyond Dichotomy—Towards Creative Synthesis

There are two ways for overcoming limitations of methods used in psychology, as Toomela (Integr. Physiol. Behav. Sci. doi:, 2007) points out. These are inventing new methods of research, and looking back into the history of methodological thought for new ideas. Though he limited the former as if it is a quantitative area and he declared to take the latter path, his paper actually advocates the need to create new methodology for understanding the human psyche through historical approach. We discuss problems of sampling and generalization in that context, and suggest a new way to creative synthesis through elaboration of qualitative methodologies. To us this direction constitutes an updated version of the German–Austrian methodology exactly as Toomela suggests.

Negative misconceptions about disaster behaviour through availability cascades: An examination of secondhand information and the moderating effect of trait anxiety on disaster myths

The present study was designed to shed light on the origin of disaster myths, such as panic, looting, crime, and psychological shock in postdisaster situations, by examining effects of secondhand information and the moderating effect of anxiety on such negative misconceptions. It was hypothesized that secondhand information on disaster behaviour, such as media reports and word‐of‐mouth rumours, and trait anxiety would increase the degrees to which people gave credit to four popular disaster myths. Also, trait anxiety was predicted to moderate the association between information sources and disaster myths. Questionnaire data obtained from 1,500 Japanese participants indicated that people relying on secondhand information gave more credit to all the four misconceptions than those relying on firsthand information such as direct disaster experience. However, trait anxiety was not found to significantly affect the degrees of the disaster myths. Furthermore, the moderating effect of trait anxiety on the association between the information sources and the disaster myths was not observed in any of the four myths. The present results imply that although reliance on secondhand information increases the degree of disaster myths to some extent, there should be other causes from which disaster myths originate.     

Reexamination of the Association Between Anonymity and Self-Interested Unethical Behavior in Adults

The Psychological Record - The well-established notion that the frequency of self-interested unethical behavior increases among anonymous people was reexamined employing a more strict definition of...