Faculty Bibliography

N-methyl-D-aspartate receptors (NMDARs) contribute to synaptic plasticity underlying learning in a variety of brain systems. Fear extinction, which involves learning to suppress the expression of previously learned fear, appears to require NMDAR activation in the amygdala. However, it is unclear whether amygdala NMDARs are required for the acquisition of extinction learning, and it is unknown whether NR2B-containing NMDARs are required in fear extinction. Here, we assessed the effects of selective NR2B blockade with ifenprodil on fear extinction learning, and found that both systemic and intra-amygdala ifenprodil treatment, given before extinction training, impaired the initial acquisition, and subsequent retrieval of fear extinction. These results confirm previous evidence showing that NMDARs in the amygdala are involved in fear extinction, and additionally show that NR2B-containing NMDARs are required. Contrary to the conclusion of previous studies, our findings demonstrate NMDARs are required for the initial acquisition, rather than only the retention, of fear extinction learning. Thus, our results support a previously not known role for NMDA-dependent plasticity in the lateral amygdala during the acquisition of fear extinction

Although different people respond differently to threatening events, animal research on the neural basis of fear tends to focus on typical responses. Yet there are substantial individual differences between animals exposed to identical behavioral procedures. In an effort to begin to understand the nature and causes of fear variability and resilience, we separated outbred Sprague-Dawley rats into high and low reactivity, and fast and slow recovery phenotypes, based on freezing levels during fear conditioning and extinction, respectively. Subsequent tests revealed stable differences in both measures, indicating that fear responses reflect trait-like phenotypes in outbred animals. Because clinical disorders may reflect extreme phenotypes, identification of the biological basis for these differences could provide insights into human individual differences in fear

Brain-derived neurotrophic factor (BDNF), a member of the neurotrophin family, plays an important role in synaptic plasticity. In this issue of Molecular Pharmacology, Ou and Gean (p. 350) thoroughly describe the molecular cascade by which fear learning leads to an increase in BDNF expression in the lateral amygdala (LA). Calcium influx through N-methyl-D-aspartate receptors and L-type voltage-dependent calcium channels, which occurs in the LA during fear conditioning, activates protein kinase A and Ca2+/calmodulin-dependent protein kinase IV. Each induces phosphorylation of cAMP response element-binding protein, which binds to the BDNF promoter, leading to BDNF expression in the LA, and contributes to fear memory consolidation

When reactivated, memories enter a labile, protein synthesis-dependent state, a process referred to as reconsolidation. Here, we show in rats that fear memory retrieval produces a synaptic potentiation in the lateral amygdala that is selective to the reactivated memory, and that disruption of reconsolidation is correlated with a reduction of synaptic potentiation in the lateral amygdala. Thus, both retrieval and reconsolidation alter memories via synaptic plasticity at selectively targeted synapses

Synapses onto dendritic spines in the lateral amygdala formed by afferents from the auditory thalamus represent a site of plasticity in Pavlovian fear conditioning. Previous work has demonstrated that thalamic afferents synapse onto LA spines expressing glutamate receptor (GluR) subunits, but the GluR subunit distribution at the synapse and within the cytoplasm has not been characterized. Therefore, we performed a quantitative analysis for alpha-amino-3-hydroxy-5-methyl-4-isoxazole propionate (AMPA) receptor subunits GluR2 and GluR3 and N-methyl-D-aspartate (NMDA) receptor subunits NR1 and NR2B by combining anterograde labeling of thalamo-amygdaloid afferents with postembedding immunoelectron microscopy for the GluRs in adult rats. A high percentage of thalamo-amygdaloid spines was immunoreactive for GluR2 (80%), GluR3 (83%), and NR1 (83%), while a smaller proportion of spines expressed NR2B (59%). To compare across the various subunits, the cytoplasmic to synaptic ratios of GluRs were measured within thalamo-amygdaloid spines. Analyses revealed that the cytoplasmic pool of GluR2 receptors was twice as large compared to the GluR3, NR1, and NR2B subunits. Our data also show that in the adult brain, the NR2B subunit is expressed in the majority of in thalamo-amygdaloid spines and that within these spines, the various GluRs are differentially distributed between synaptic and non-synaptic sites. The prevalence of the NR2B subunit in thalamo-amygdaloid spines provides morphological evidence supporting its role in the fear conditioning circuit while the differential distribution of the GluR subtypes may reflect distinct roles for their involvement in this circuitry and synaptic plasticity

A central question in the study of LTP has been to determine what role it plays in memory formation and storage. One valuable form of learning for addressing this issue is associative fear conditioning. In this paradigm an animal learns to associate a tone and shock, such that subsequent presentation of a tone evokes a fear response (freezing behavior). Recent studies indicate that overlapping cellular processes underlie fear conditioning and LTP. The fear response has generally been scored manually which is both labor-intensive and subject to potential artifacts such as inconsistent or biased results. Here we describe a simple automated method that provides unbiased and rapid analysis of animal motion. We show that measured motion, in units termed significant motion pixels (SMPs), is both linear and robust over a wide range of animal speeds and detection thresholds and scores freezing in a quantitatively similar manner to trained human observers. By comparing the frequency distribution of motion during baseline periods and to the response to fox urine (which causes unconditioned fear), we suggest that freezing and non-freezing are distinct behaviors. Finally, we show how this algorithm can be applied to a fear conditioning paradigm yielding information on long and short-term associative memory as well as habituation. This automated analysis of fear conditioning will permit a more rapid and accurate assessment of the role of LTP in memory