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. 2019 Oct 17;14(10):e0223729. doi: 10.1371/journal.pone.0223729

Effect of d-cycloserine on fear extinction training in adults with social anxiety disorder

Stefan G Hofmann 1,*, Santiago Papini 2, Joseph K Carpenter 1, Michael W Otto 1, David Rosenfield 3, Christina D Dutcher 2, Sheila Dowd 4, Mara Lewis 1, Sara Witcraft 5, Mark H Pollack 4, Jasper A J Smits 2
Editor: Judith Homberg6
PMCID: PMC6797442  PMID: 31622374

Abstract

Preclinical and clinical data have shown that D-cycloserine (DCS), a partial agonist at the N-methyl-d-aspartate receptor complex, augments the retention of fear extinction in animals and the therapeutic learning from exposure therapy in humans. However, studies with non-clinical human samples in de novo fear conditioning paradigms have demonstrated minimal to no benefit of DCS. The aim of this study was to evaluate the effects of DCS on the retention of extinction learning following de novo fear conditioning in a clinical sample. Eighty-one patients with social anxiety disorder were recruited and underwent a previously validated de novo fear conditioning and extinction paradigm over the course of three days. Of those, only 43 (53%) provided analyzable data. During conditioning on Day 1, participants viewed images of differently colored lamps, two of which were followed by with electric shock (CS+) and a third which was not (CS-). On Day 2, participants were randomly assigned to receive either 50 mg DCS or placebo, administered in a double-blind manner 1 hour prior to extinction training with a single CS+ in a distinct context. Day 3 consisted of tests of extinction recall and renewal. The primary outcome was skin conductance response to conditioned stimuli, and shock expectancy ratings were examined as a secondary outcome. Results showed greater skin conductance and expectancy ratings in response to the CS+ compared to CS- at the end of conditioning. As expected, this difference was no longer present at the end of extinction training, but returned at early recall and renewal phases on Day 3, showing evidence of return of fear. In contrast to hypotheses, DCS had no moderating influence on skin conductance response or expectancy of shock during recall or renewal phases. We did not find evidence of an effect of DCS on the retention of extinction learning in humans in this fear conditioning and extinction paradigm.

Introduction

Exposure-based treatment for the anxiety-related disorders offers some of the strongest treatment outcomes in the literature [1,2]. Nonetheless, a proportion of patients fail to respond adequately to these treatments and others face relapse after treatment [3,4]. Accordingly, a number of efforts are underway to strengthen the efficacy and durability of extinction learning from exposure therapy [5].

One of these strategies is to use D-cycloserine (DCS)—a partial agonist at the N-methyl-d-aspartate receptor—as a way to augment the retention of therapeutic learning from exposure [6]. Although results across individual clinical trials have been variable (e.g., [7,8]), a recent meta-analysis indicates that across disparate clinical trials of anxiety disorders, DCS augmentation of exposure therapy offers advantages on the order of a small effect size (d = 0.25) for enhancing early response to treatment relative to placebo [9]. Nonetheless, there is evidence of significant moderation of these studies by the diagnostic target of interventions, with evidence of larger augmentation effects in social anxiety compared to other anxiety disorders [9]. In addition to diagnostic variability, DCS augmentation studies differ in the amount of exposure therapy offered, the elements of treatment in addition to exposure, and the amount and timing of DCS administrations relative to the start of exposure treatment [6]. Any of these factors could introduce variability into estimates of the efficacy of DCS augmentation.

In order to understand the reasons for this variability, DCS augmentation of fear extinction has been studied in human de novo fear conditioning paradigms. Potential advantages of this approach are that it offers: (1) a close analogue to the animal conditioning studies that have shown DCS efficacy [1015] and which served as the basis of the trials that tested this clinical strategy, (2) experimental control of the degree of acquisition and extinction training provided, (3) lower study costs, and (4) consistency with a Research Domain Criteria (RDoC) research framework for encouraging precise and replicable measurement of basic processes as a strategy for advancing mechanistic understanding of interventions [16], in this case fear extinction as it relates to exposure therapy efficacy. Despite this hope, and despite evidence of successful DCS augmentation in clinical trials, initial human studies using de novo fear conditioning paradigms have shown minimal to no effect of DCS on the retention of extinction learning. Specifically, studies examining the effects of DCS augmentation on extinction recall and fear renewal have consistently had null findings [1720], though some evidence of reduced reinstatement has been found [19,20].

The purpose of this study was to evaluate the efficacy of DCS for enhancing the effects of extinction training on extinction retention as evaluated in a human de novo fear conditioning paradigm [2122]. This study incorporated a number of innovations to address limitations in the DCS literature to date. First, rather than studying healthy control participants, we employed a population for whom DCS clinical effects have been particularly strong [7]: outpatients with social anxiety disorder. Second, we reduced cues for higher-order processing (i.e. shock expectancy ratings administered during CS presentations), while retaining some assessment of explicit knowledge of the fear contingency in the form of retrospective expectancy ratings administered at the end of each experimental phase. This enabled us to evaluate post-hoc whether DCS effects on skin conductance response (SCR) were mirrored by expectancy ratings. Third, to provide a direct test of extinction effects that have an analogue to clinical fears, we assessed DCS vs. placebo augmentation effects only in individuals who demonstrated adequate acquisition of de novo fears (indeed, among both anxious and healthy samples a substantial proportion of participants may fail to show fear acquisition on skin conductance measures [18,23,24], and there is evidence that poor skin conductance conditioning reflects hypoactivation of brain regions involved in fear learning and expression [25]). Our primary hypothesis was that DCS would augment de novo fear extinction learning of SCR through increased retention of extinction during a recall and renewal phase occurring 24 hours later. Prior to study initiation, hypotheses (i.e., DCS enhancement of extinction recall and reduction of fear renewal) were published in Hofmann et al. [26]. Prior to data analysis we made several modifications to the analytic approach described in Hofmann et al. (2015) [23] to be consistent with the latest methodological advancements and recommendations. Specifically, we used continuous decomposition analysis to extract skin conductance responses and we tested the pre-specified hypotheses in ANOVA that included a term for contrasts between stimuli, as opposed to subtracting CS- SCRs from CS+ SCRs prior to analyses [27]. Another modification was to omit the prespecified “Extinction Retention Index” (ERI) analysis in light of a recent publication [28] which outlined theoretical and procedural problems with its operationalization, including the existence of 16 different calculations of the ERI in the literature.

Methods

The study was approved as Human Subject Research by the respective Institutional Review Boards of Boston University, Rush University Medical Center, Southern Methodist University, and University of Texas at Austin. All participants provided written informed consent to participate.

Participants

Participants (N = 81) consisted of a subset of patients enrolled in a multisite clinical trial for social anxiety disorder (SAD) [26] taking place at Boston University, University of Texas at Austin, and Rush University Medical Center. Prior to beginning the clinical trial, participants elected to undergo the present laboratory extinction study, and were compensated $120 for their time. Inclusion criteria consisted of (1) a primary diagnosis of SAD as defined by DSM-5 criteria, (2) a total score ≥ 60 on the clinician-administered Liebowitz Social Anxiety Scale (LSAS) [29], (3) passing of a medical examination without any detection of conditions that would contraindicate the administration of DCS, including pregnancy, lactation or a history of seizures; (4) at least 18 years of age. Exclusion criteria included (1) a lifetime history of bipolar, a psychotic disorder, organic brain syndrome, mental retardation, or other potentially interfering cognitive dysfunction; (2) eating disorder, posttraumatic stress disorder, obsessive-compulsive disorder, substance abuse or dependence (other than nicotine), or significant suicidal ideation or behaviors in the past 6 months; (3) concurrent psychotropic medication within the past 2 weeks; (4) current psychotherapy initiated in the prior three months, or ongoing psychotherapy directed toward treatment of SAD; (5) prior non-response to exposure therapy; and (6) a history of head trauma causing loss of consciousness, seizure or ongoing cognitive impairment.

Procedure

Participants underwent a diagnostic clinical interview, administration of the LSAS, and a medical examination to determine eligibility for the clinical trial portion of the study. A semi-structured assessment of depression, the Montgomery Asberg Depression Rating Scale (MADRS) [30], was also administered at this time. If eligible, participants were invited to complete the laboratory portion of the study, which took place over three consecutive days. Eighty-one of 172 patients in the clinical trial elected to participate in the laboratory experiment. Experimental procedures were based on a previously validated and widely used fear conditioning and extinction paradigm [21]. On Day 1, participants went through habituation and conditioning procedures. On Day 2, participants were randomly assigned to receive either 50 mg DCS or placebo (PBO), which was administered in a double-blind manner 1 hour prior to extinction training. Day 3 consisted of a test of extinction recall and renewal.

Stimuli and experimental protocol

Participants viewed images on a computer monitor while two 9-mm (sensor diameter) Sensor Medics Ag/AgCl recording electrodes were attached to their left hand to measure skin conductance response (SCR) as the primary dependent variable. Two stimulating electrodes were also attached to the second and third fingers on the right hand to deliver a 500-millisecond electric shock, which served as the unconditioned stimulus (US). Shock was generated by a Coulbourn Transcutaneous Aversive Finger Stimulator, and mean shock intensity was 1.86 Milliamperes (SD = 1.56). At the University of Texas-Austin site, a BIOPAC MP150 Psychophysiological Recording Apparatus (BIOPAC Systems, Inc., USA), was used, and data were acquired using AcqKnowledge 4.0 software. At Boston University and Rush University, psychophysiological data were recorded with custom equipment made by James Long Company, Caroga Lake, NY, and the data-acquisition program Snap-Master for Windows. Across sites, the sampling rate was 1000 Hz. Prior to the presentation of any images, participants were exposed to increasing intensities of shock until they judged it to be “highly annoying but not painful,” and this intensity was used for conditioning. The electrodes were attached to the fingers on all three days, even though the US was only delivered on Day 1. Images consisted of photographs of two distinct rooms, one with a desk and computer (“threat context” used in the conditioning phase where shock was delivered) and the other with a bookshelf (“safe context” used in extinction and recall phases where no shocks were delivered), both of which contained the same unlit lamp (Fig 1). During each trial, the context was presented for 3 seconds, and then the lamp “switched on” and became either a blue, red or yellow light for 6 seconds. These colored lamps formed the conditional stimuli (CSs), with two of the colors being followed immediately by shock (CS+) during Conditioning on Day 1, while the third was not (CS-). One CS+ was randomly assigned to be the CS+E (extinguished CS+) and was used for Extinction on Day 2, while the other (unextinguished CS+, or CS+U) was not seen again until the Recall and Renewal phases on Day 3. Thus, on Day 3, responding was evaluated both to the extinction stimulus (CS+E) as well as a perceptually similar but unextinguished CS+ (CS+U) that served as a test of extinction generalization. The inter-trial interval consisted of a black screen that lasted between 12 and 18 seconds. Throughout all three days, stimulus order within each block was pseudo-randomized such that the same stimulus never appeared more than three times in a row, and each block always began with a CS+ (reinforced during conditioning). Stimulus order and the color of the CS+ and the CS- were counterbalanced across participants.

Fig 1. Schematic of experimental paradigm.

Fig 1

In the habituation phase on Day 1, stimuli (i.e., lamp “turning on” to show one of three colors) were presented across the two contexts (A). In the conditioning phase on Day 1 (B), the color of the lamp light served as a conditioned Stimulus. Three lights were presented randomized and counterbalanced across participants. Two lights were paired with shock at a 62.5% reinforcement rate and served as the conditioned stimuli that either underwent extinction on Day 2 (CS+E) or remained unextinguished until Day 3 (CS+U). A third color, never paired with shock, provided a reference for differential conditioning (CS-). In the extinction phase on Day 2 (C), the CS+E and CS- were presented without shock in a different (safe) context. One hour prior to extinction, participants took either DCS or PBO. In the recall (D) and renewal (E) phases on Day 3, all three stimuli were presented without shock to test between-session extinction retention and generalization of extinction to the threat context, respectively.

A schematic of the experimental paradigm can be seen in Fig 1. During Habituation on Day 1, the three CSs were presented in each of the two contexts (six trials total) to familiarize participants with the stimuli. Participants then immediately went through Conditioning, which consisted of two blocks of 16 trials, each with eight presentations of the CS- interspersed with eight presentations of either the CS+E or the CS+U. Five of the eight CS+ presentations were followed immediately by the US (62.5% reinforcement). This reinforcement rate was used to replicate procedures from the previously validated paradigm used for this study [21,22], and to prevent the rapid extinction seen in protocols with 100% reinforcement [27,31]. All stimuli presented during Conditioning were presented in the threat context (e.g., desk and computer).

During Extinction on Day 2, all stimuli were presented in the safe context. The CS- and CS+E were each presented 16 times, but in contrast to Day 1 the CS+E was never followed by shock (US). The first stimulus presented during Extinction was always the CS+.

On Day 3, the CS-, CS+E and CS+U were each presented first in the safe context as a test of extinction recall. Similar to conditioning on Day 1, this involved two blocks of 16 trials, each with 8 presentations of the CS- and 8 presentations of either the CS+E or CS+U. Immediately following, participants underwent a test of renewal, which involved the same procedures as recall except that CS’s were presented within threat context. For both recall and renewal, the order of CS+E and CS+U blocks were counterbalanced across participants.

At the end of each phase, participants completed questions about which colored lamps they saw and which colors were followed by a shock in order to assess contingency awareness. They also answered questions regarding US expectancy, specifically: “on a scale from 1 (not at all) to 5 (very much), how much were you expecting to be shocked for the [first or last] presentation of the [red, blue or yellow] lamp?”, with separate questions for the first and last presentation of each color of lamp seen during the phase. Retrospective US expectancy was investigated as a secondary outcome.

SCR preprocessing

Skin conductance response (SCR) data were preprocessed and extracted in Ledalab software version 3.4.9 using the following approach: (1) raw skin conductance data were inspected and (where possible) corrected for gross motion artifacts and poor signal quality; (2) SCL data were downsampled to 10 Hz and smoothed using an adaptive Gaussian approach; (3) SCRs within the 6 s stimulus window were extracted using continuous decomposition analysis [32]; (4) square-root transformation was applied to normalize SCRs; (5) within participants, extreme outliers, defined as individual SCRs that were 3 SDs greater than the participant’s mean SCR amplitude, were removed; (6) for the conditioning phase, the last four SCRs of each stimulus were averaged to calculate late conditioning, and for the remaining phases, the first two (early) and last two (late) trials were averaged; (7) participants that did not demonstrate good differential SCR conditioning, defined as SCR to the CS+E that was greater than the CS- by at least 0.1 √μS in the late conditioning stage, were removed from the analysis. This approach is consistent with our previous work [23,24], and was done to ensure that participants included in the analysis demonstrated adequate fear learning that could meaningfully be subjected to extinction and renewal procedures in the subsequent phases of the study (see also Marin et al., [25]). The cutoff of 0.1 √μS is commonly used in literature on de novo fear conditioning [23,24,3336]. Since hypotheses were tested within each phase, participants were not excluded from analysis in one phase when they had incomplete data in another phase, which resulted in minor variations in sample size across phases.

Statistical analyses

For the conditioning phase, mean SCRs and US expectancy ratings during the late stage were compared in a Group (DCS, PBO) × Stimulus (CS+E, CS+U, CS-) ANOVA. For the extinction phase, SCR and US expectancy ratings were compared in a Group (DCS, PBO) × Stimulus (CS+E, CS-) × Stage (early, late) ANOVA. For the recall and renewal phases, SCR and US expectancy ratings were compared in a Group (DCS, PBO) × Stimulus (CS+E, CS+U, CS-) × Stage (early, late) ANOVA. When statistical assumptions were violated, corresponding corrections were applied and reported. Test statistics, uncorrected p-values, and partial eta-squared (η2 p) effect sizes are provided for all main effects and interactions. Where applicable, significant results were followed up with post hoc pairwise comparisons and statistics with Cohen’s d effect sizes are provided.

Results

Of the 81 participants who participated in the fear conditioning paradigm, 12 had unusable SCR data due to equipment malfunctioning. Of the 69 participants with usable SCR data, 43 demonstrated good differential conditioning between the CS+E and the CS- during late conditioning, a similar proportion to what has been reported previously for anxious samples [23,24]. Total LSAS score, t(60.64) = 1.31, p = 0.198, MADRS score, t(58.57) = -0.13, p = 0.896, and US intensity (i.e. individually selected shock level), t(64) = -.35, p = .725 were not significantly different between participants that did and did not show differential SCR conditioning, nor was differential US expectancy (CS+E minus CS-), t(66) = -0.59, p = 0.559, conditioners: M = 2.33, SD = 1.34; non-conditioners: M = 2.11, SD = 1.70, or likelihood of contingency awareness, χ2 (1) = 2.42, p = 0.120, at the end of the conditioning phase. Following the recommendations of Lonsdorf et al. [27], we performed sensitivity analyses to determine whether exclusion of non-conditioners influenced results. No differential effects were obtained relative to those reported below, and we report these results as supplementary material (see S2 File).

Participants did not significantly differ across experimental groups in severity of social anxiety as based on the LSAS (DCS: M = 84.90, SD = 19.74; PBO: M = 80.45, SD = 16.42; t(41) = 0.81, p = 0.43) or depression as measured by the MADRS (DCS: M = 8.55, SD = 7.48; PBO: M = 14.52, SD = 12.23; t(41) = 1.95, p = 0.06). Participants in the DCS group (n = 22) had a mean age of 25.24 (SD = 4.82), 59.1% were female, 31.8% identified as Hispanic or Latino, and had a racial breakdown as follows: 50.00% White, 4.55% Black or African-American, 22.73% Asian, and 22.73% other. In the PBOgroup (n = 21), mean age was 29.71 (SD = 11.34), 52.4% of participants were female, 23.8% identified as Hispanic or Latino, and racial breakdown was as follows: 57.14% White, 19.05% Black or African-American, and 23.81% other. There were no significant differences across groups in demographic variables (all ps > 0.10).

SCR results

Fig 2 shows mean SCRs during each phase of the experiment and Table 1 shows complete statistics of the corresponding ANOVAs. Significant results are summarized below.

Fig 2. Conditioned skin conductance responses (SCR) across all phases of the experiment.

Fig 2

Note. DCS was administered 1 hour prior to extinction. PBO = placebo group, DCS = d-cycloserine, SCR = skin conductance response, SE = 1 standard error, CS- = stimulus that was not paired with shock, CS+E = stimulus that was paired with shock during conditioning and presented in the extinction phase, CS+U = stimulus that was paired with shock during conditioning but not presented in the extinction phase.

Table 1. SCR results from ANOVAs across experimental phases.

Conditioning Phase (Day 1)
DCS n = 22, PBO n = 21
Extinction Phase (Day 2)
DCS n = 20, PBO n = 18
Effect Statistic P-value η2 p Statistic P-value η2 p
Group F(1, 41) = 0.30 .585 < .01 F(1, 36) = 0.17 .687 < .01
Stimulus F(2, 82) = 36.86 < .001 .47 F(1, 36) = 2.37 .132 .06
Stage - - - F(1, 36) = 21.52 < .001 .37
Group × Stimulus F(2, 82) = 0.69 .505 .02 F(1, 36) = 1.30 .261 .03
Group × Stage - - - F(1, 36) = 1.76 .193 .05
Stimulus × Stage - - - F(1, 36) = 1.14 .293 .03
Group × Stimulus × Stage - - - F(1, 36) = 3.18 .083 .08
Recall Phase (Day 3)
DCS n = 20, PBO n = 19
Renewal Phase (Day 3)
DCS n = 20, PBO n = 20
Effect Statistic P-value η2 p Statistic P-value η2 p
Group F(1, 37) = 4.29 .553 < .01 F(1, 38) = 0.49 .490 .01
Stimulus F(1.39, 51.44) = 4.72 .023a .11 F(2, 76) = 10.48 < .001 .22
Stage F(1, 37) = 31.86 < .001 .46 F(1, 38) = 20.73 < .001 .35
Group × Stimulus F(1.39, 51.44) = 0.17 .761a < .01 F(2, 76) = 0.21 .812 < .01
Group × Stage F(1, 37) = 1.24 .273 .03 F(1, 38) = 0.10 .754 < .01
Stimulus × Stage F(1.62, 60.10) = 5.93 .007a .14 F(2, 76) = 3.70 .029 .09
Group × Stimulus × Stage F(1.62, 60.10) = 0.09 .872a < .01 F(2, 76) = 1.38 .258 .04

a Greenhouse-Geisser sphericity correction applied.

Conditioning

In the conditioning phase, there was a significant main effect of Stimulus, F(2, 82) = 36.86, p < .001, η2p = .47, reflecting a large effect size. Post-hoc tests indicated that mean SCR was greater for the CS+E than the CS-, t(82) = 8.10, p < .001, d = 2.471, and greater for the CS+U than the CS-, t(82) = 6.51, p < .001, d = 1.985, but not significantly different between the CS+E and CS+U, t(82) = 1.60, p = .11, d = 0.486. As expected at this pre-treatment stage there was no evidence that DCS and PBO groups differed in their overall or CS-specific SCRs.

Extinction

In the extinction phase, a significant main effect of Stage provided evidence of an overall decrease in mean SCR from the early to the late stage of extinction, F(1, 36) = 21.52, p < .001, η2p = .37. All other effects were nonsignificant; there was no evidence of Group effects, consistent with the hypothesis that the effect of DCS should take place on the consolidation of extinction learning rather than the amount of in-session learning.

Recall

In the recall phase, there was a significant effect of Stimulus, F(1.39, 51.44) = 4.72, p = .023, η2p = .11, Stage, F(1, 37) = 31.86, p < .001, η2p = .46, and a Stimulus × Stage interaction F(1.62, 60.10) = 5.93, p = .007, η2p = .14. This interaction showed that relative to the CS-, SCRs were significantly greater for the CS+E, t(146) = 3.50, p < .001, d = 1.121, and the CS+U, t(146) = 4.36, p < .001, d = 1.395, at early recall, but not significantly greater in the late stage (both ps > .619). The Group × Stimulus and Group × Stimulus × Stage interactions were nonsignificant, providing no evidence of the hypothesized DCS effects.

Renewal

In the renewal phase, there was a significant effect of Stimulus, F(2, 76) = 10.48, p < .001, η2p = .22, Stage, F(1, 38) = 20.73, p < .001, η2p = .35, and a Stimulus × Stage interaction F(2, 76) = 3.70, p = .029, η2p = .09. Post-hoc contrasts indicated that relative to the CS-, SCRs were significantly greater to the CS+E, t(151) = 2.97, p = .004, d = 0.937, and the CS+U, t(151) = -5.09, p < .001, d = 1.608 in the early stage, but not significantly different in the late stage (both ps > .271). The Group × Stimulus and Group × Stimulus × Stage interactions were nonsignificant, providing no evidence of the hypothesized DCS effects.

US expectancy results

Fig 3 shows mean US expectancy ratings for the first and last presentation of each stimulus for all phases of the experiment and Table 2 shows complete statistics of the corresponding ANOVAs. Significant results are summarized below.

Fig 3. Expectancy of shock (US expectancy) following first and last presentation of different conditioned stimuli, across experimental phases.

Fig 3

Note. Ratings were made retrospectively (i.e. after phase concluded). PBO = placebo group, DCS = d-cycloserine, SCR = skin conductance response, SE = 1 standard error, CS- = stimulus that was not paired with shock, CS+E = stimulus that was paired with shock during conditioning and presented in the extinction phase, CS+U = stimulus that was paired with shock during conditioning but not presented in the extinction phase.

Table 2. US expectancy results from ANOVAs across experimental phases.

Conditioning Phase (Day 1)
DCS n = 21, PBO n = 21
Extinction Phase (Day 2)
DCS n = 21, PBO n = 21
Effect Statistic P-value η2 p Statistic P-value η2 p
Group F(1, 40) = 1.34 .254 .03 F(1, 40) = 0.16 .696 < .01
Stimulus F(2, 80) = 97.88 < .001 .71 F(1, 40) = 24.01 < .001 .38
Stage - - - F(1, 40) = 75.72 < .001 .65
Group × Stimulus F(2, 80) = 0.26 .774 < .01 F(1, 40) = 1.17 .287 .03
Group × Stage - - - F(1, 40) = 0.96 .332 .02
Stimulus × Stage - - - F(1, 40) = 27.54 < .001 .41
Group × Stimulus × Stage - - - F(1, 40) = 2.11 .154 .05
Recall Phase (Day 3)
DCS n = 20, PBO n = 21
Renewal Phase (Day 3)
DCS n = 20, PBO n = 20
Effect Statistic P-value η2 p Statistic P-value η2 p
Group F(1, 39) = 4.42 .042 .10 F(1, 38) = 1.57 .217 .04
Stimulus F(2, 78) = 17.26 < .001 .31 F(2, 76) = 11.11 < .001 .23
Stage F(1, 37) = 197.53 < .001 .84 F(1, 38) = 98.27 < .001 .72
Group × Stimulus F(2, 78) = 0.15 .859 < .01 F(2, 76) = 0.05 .951 < .01
Group × Stage F(1, 37) = 1.76 .192 .04 F(1, 38) = 1.51 .227 .04
Stimulus × Stage F(2, 78) = 15.53 < .001 .28 F(2, 76) = 8.78 < .001 .19
Group × Stimulus × Stage F(2, 78) = 2.41 .096 .06 F(2, 76) = 0.75 .476 .02

Conditioning

There was a significant effect of stimulus on US expectancy at the last presentation of each stimulus during conditioning, F(2, 80) = 97.8, p < .001, η2p = .71, with significantly greater ratings for the CS+E, t(80) = -11.49, p < .001, d = 3.545, and CS+U, t(80) = -12.66, p < .001, d = 3.907 relative to the CS-. As expected, there were no significant effects of Group or Group × Time.

Extinction

In the extinction phase, there were significant main effects of Stimulus, F(1, 40) = 24.01, p < .001, η2p = .38, and Stage, F(1, 40) = 75.72, p < .001, η2p = .65, as well as a Stimulus × Stage interaction, F(1, 40) = 27.54, p < .001, η2p. = .41. Post-hoc contrasts showed greater US expectancy ratings for the first presentation of the CS+E relative to the CS-, t(73.9) = 7.06, p < .001, d = 2.180, but not the last presentation, t(73.9) = -0.80, p = .427, d = 0.247, indicative of successful extinction. All other effects were nonsignificant.

Recall

In the recall phase, there were significant main effects of Stimulus, F(2, 78) = 17.26, p < .001, η2p = .31, and Stage, F(1, 37) = 197.53, p < .001, η2p = .84, and a significant Stimulus × Stage interaction, F(2, 78) = 15.53, p < .001, η2p = .28. At the first presentation of each stimulus during recall, US expectancy for the CS+E was significantly greater than the CS-, t(154) = 2.91, p = .004, d = 0.910, indicating a return in expectation of shock since the end of extinction, but significantly less than the CS+U, t(154) = 5.08, p < .001, d = 1.587. Differences across stimuli were non-significant (p > .504) for the last presentation of each stimulus. There was a significant main effect of Group, F(1, 39) = 4.42, p = .042, η2p = .10, indicating lower US expectancyratings across all stimuli and stages in the DCS group relative to PBOgroup. However, all interactions with Group were nonsignificant (all ps > .096).

Renewal

In the renewal phase, there was a significant main effect of Stimulus, F(2, 76) = 11.11, p < .001, η2p = .23, and Stage, F(1, 38) = 98.27, p < .001, η2p = .72, and a significant Stimulus × Stage interaction, F(2, 76) = 8.78, p < .001, η2p = .19. At the first presentation of each stimulus during renewal, US expectancy was significantly greater for the CS+E relative to the CS-, t(147) = 4.28, p < .001, d = 1.352, and for the CS+U relative to the CS-, t(147) = 6.14, p < .001, d = 1.943, but not significantly different between the CS+E and CS+U, p = .064. Differences across stimuli were non-significant (p > .39) for the last presentation of each stimulus. There were no significant group effects or interactions.

Discussion

The aim of this study was to test whether DCS facilitates fear extinction retention in patients with social anxiety disorder. To this end, we employed a paradigm developed to study fear extinction and that mirrors that used in the study of fear extinction in rodents. We observed several noteworthy findings. First, of the 81 participants that we enrolled in this study, only 43 (53%) provided data that we could use for the analyses. Specifically, we had to remove 12 participants because their SCR recordings that were consistent with data collection errors and an additional 25 participants because they failed to show fear acquisition. Such acquisition failure rates are not uncommon in human fear conditioning studies [23,24], and may have resulted from a relatively low reinforcement rate used during conditioning [31], or because clinical populations are less likely to demonstrate differential conditioning [37], even when 100% reinforcement schedules are used [24]. Accordingly, our acquisition results are well in line with expectations from the literature. A necessary consequence to our decision to examine extinction effects only in those who had acquired a differential response is that our results are necessarily specific to individuals who learned a conditioned fear. Nonetheless, there were no differences in clinical severity, contingency awareness, or US expectancy between conditioners and non-conditioners. Moreover, results did not differ when non-conditioners were included in the analysis.

Second, despite selection of those displaying adequate fear acquisition, fear retention (and a stimulus by phase interaction) at the outset of the Day Two extinction phase was evident only for the expectancy measure not for SCR. This flattening of the differential responding between the CS+ and CS- may reflect a combination of stimulus generalization and poor consolidation, although it is clear from the recall and renewal effects that greater fear learning to the CS+ persisted relative to the CS-. In addition, extinction of reactivity to both CSs was achieved across phases, presumably providing adequate extinction learning for augmentation.

Third, under these conditions, we found no evidence for the hypothesis that preceding extinction training with a single dose of 50 mg of DCS would enhance fear extinction retention. Aside from failing to demonstrate that the observed clinical effects of DCS for augmenting exposure therapy may indeed be explained by engaging the core hypothesized mechanism—i.e., fear extinction retention—this study shows that demonstrating fear extinction in patients using this specific paradigm presents major challenges.

This study is an important addition to the literature on DCS for enhancing extinction learning. We are aware of two other groups of studies that have failed to find a significant advantage for DCS for augmenting extinction training in the laboratory [17,18]. Yet, across these studies there were a number of methodological issues that may have hindered the efficacy of DCS augmentation. First, in the Guastella et al. [18] series of studies, the first two studies conducted acquisition and extinction procedures on the same day, separated only by a few hours and with DCS administration given in the interval between procedures. As such, as acknowledged by the authors, DCS was given well within the consolidation window of acquisition and hence could have had facilitative effects on both acquisition and extinction. This design flaw was corrected in the third study, but in all three studies conducted by Guastella et al. [18] participants were asked to record, using a rotary dial rating, the subjective expectancy of shock during each CS presentation. Such procedures are assumed to enhance explicit, higher order (e.g., propositional) processing of the fear contingency [38]. Notably, in a review of early DCS studies, Grillon [39] hypothesized that DCS benefits may be specific to lower-order learning processes. Specifically, Grillon discussed a dual-model theory of fear conditioning, where human de novo fear conditioning processes may rely on higher-order cognition and that DCS benefits may be specific to lower-order, associative processes more characteristic of animal paradigms and human clinical fears. Interestingly, concerns about the influence of higher order processes are also apt for the DCS conditioning study by Klumpers and colleagues [17], where, after the first block of acquisition, participants were informed of the CS-shock association–thereby helping ensure higher order encoding of the causal relationships.

In the current study, we reduced cues for higher order processing, while retaining some ratings of explicit knowledge of the fear contingency in the form of retrospective expectancy ratings and questions about which colors were followed by shock, administered at the end of each phase. Under these conditions, we failed to find a DCS augmentation effect. In light of previous null findings of DCS on extinction retention, it appears unclear whether DCS can enhance extinction recall or reduce renewal in a human de novo conditioning paradigm. Given the limitations of the present study (e.g. relatively weak conditioning as measured by SCR) and evidence that DCS can reduce reinstatement [19,20], it would be worth further investigating the procedural variants that might enable detection of DCS augmentation effects found in animal and human clinical research (see [40] for a discussion of needed improvements to human fear conditioning paradigms). For instance, using biologically “prepared” or other fear-relevant stimuli can lead to stronger conditioned responses that reflect a greater role of lower-order fear learning processes [41,42], and therefore may be more susceptible to the effects of DCS.

Supporting information

S1 File. Dataset.

This is the complete dataset used for analyses.

(CSV)

S2 File. Supplementary analyses.

Sensitivity analyses were run with all available data to determine whether exclusion of non-conditioners affected the impact of DCS vs. PBO on extinction retention. Consistent with results when analyzing only conditioners, no main or interactive effects of group were seen during recall or renewal phases for SCR or US expectancy data.

(HTML)

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

This study was funded as a multi-site linked R34 grant (R34MH099311, R34MH099318, R34MH099309; ClinicalTrials.gov identifier: NCT02066792) by the National Institute of Mental Health (Principal Investigators: SGH, MHP, and JAJS).

References

  • 1.Carpenter JK, Andrews LA, Witcraft SM, Powers MB, Smits JA, Hofmann SG. Cognitive behavioral therapy for anxiety and related disorders: A meta-analysis of randomized placebo-controlled trials. Depress Anxiety. 2018;35: 502–514. 10.1002/da.22728 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Hofmann SG, Smits JA. Cognitive-behavioral therapy for adult anxiety disorders: a meta-analysis of randomized placebo-controlled trials. J Clin Psychiatry. 2008;69: 621–632. 10.4088/jcp.v69n0415 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Springer KS, Levy HC, Tolin DF. Remission in CBT for adult anxiety disorders: A meta-analysis. Clin Psychol Rev. 2018;61: 1–8. 10.1016/j.cpr.2018.03.002 [DOI] [PubMed] [Google Scholar]
  • 4.Taylor S, Abramowitz JS, McKay D. Non-adherence and non-response in the treatment of anxiety disorders. J Anxiety Disord. 2012;26: 583–589. 10.1016/j.janxdis.2012.02.010 [DOI] [PubMed] [Google Scholar]
  • 5.Kredlow AM, Eichenbaum H, Otto MW. Memory creation and modification: Enhancing the treatment of psychological disorders. Am Psychol. 2018;73: 269–285. 10.1037/amp0000185 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Otto MW, Kredlow MA, Smits JA, Hofmann SG, Tolin DF, de Kleine RA, et al. Enhancement of psychosocial treatment with d-cycloserine: models, moderators, and future directions. Biol Psychiatry. 2016;80: 274–283. 10.1016/j.biopsych.2015.09.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Hofmann SG, Meuret AE, Smits JA, Simon NM, Pollack MH, Eisenmenger K, et al. Augmentation of exposure therapy with D-cycloserine for social anxiety disorder. Arch Gen Psychiatry. 2006;63: 298–304. 10.1001/archpsyc.63.3.298 [DOI] [PubMed] [Google Scholar]
  • 8.Hofmann SG, Smits JA, Rosenfield D, Simon N, Otto MW, Meuret AE, et al. D-Cycloserine as an augmentation strategy with cognitive-behavioral therapy for social anxiety disorder. Am J Psychiatry. 2013;170: 751–758. 10.1176/appi.ajp.2013.12070974 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Mataix-Cols D, De La Cruz LF, Monzani B, Rosenfield D, Andersson E, Pérez-Vigil A, et al. D-cycloserine augmentation of exposure-based cognitive behavior therapy for anxiety, obsessive-compulsive, and posttraumatic stress disorders: a systematic review and meta-analysis of individual participant data. JAMA Psychiatry. 2017;74: 501–510. 10.1001/jamapsychiatry.2016.3955 [DOI] [PubMed] [Google Scholar]
  • 10.Ledgerwood L, Richardson R, Cranney J. Effects of D-cycloserine on extinction of conditioned freezing. Behav Neurosci. 2003;117: 341–349. 10.1037/0735-7044.117.2.341 [DOI] [PubMed] [Google Scholar]
  • 11.Ledgerwood L, Richardson R, Cranney J. D-cycloserine and the facilitation of extinction of conditioned fear: consequences for reinstatement. Behav Neurosci. 2004;118: 505–513. 10.1037/0735-7044.118.3.505 [DOI] [PubMed] [Google Scholar]
  • 12.Ledgerwood L, Richardson R, Cranney J. d-cycloserine facilitates extinction of learned fear: Effects on reacquisition and generalized extinction. Biol Psychiatry. 2005;57: 841–847. 10.1016/j.biopsych.2005.01.023 [DOI] [PubMed] [Google Scholar]
  • 13.Walker DL, Ressler KJ, Lu K-T, Davis M. Facilitation of conditioned fear extinction by systemic administration or intra-amygdala infusions of d-cycloserine as assessed with fear-potentiated startle in rats. J Neurosci. 2002;22: 2343–2351. 10.1523/JNEUROSCI.22-06-02343.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Woods AM, Bouton ME. D-cycloserine facilitates extinction but does not eliminate renewal of the conditioned emotional response. Behav Neurosci. 2006;120: 1159–1162. 10.1037/0735-7044.120.5.1159 [DOI] [PubMed] [Google Scholar]
  • 15.Norberg MM, Krystal JH, Tolin DF. A meta-analysis of D-cycloserine and the facilitation of fear extinction and exposure therapy. Biol Psychiatry. 2008;63: 1118–1126. 10.1016/j.biopsych.2008.01.012 [DOI] [PubMed] [Google Scholar]
  • 16.Insel T, Cuthbert B, Garvey M, Heinssen R, Pine DS, Quinn K, et al. Research domain criteria (RDoC): toward a new classification framework for research on mental disorders. Am Psychiatric Assoc; 2010. [DOI] [PubMed] [Google Scholar]
  • 17.Klumpers F, Denys D, Kenemans JL, Grillon C, van der Aart J, Baas JM. Testing the effects of Δ9-THC and D-cycloserine on extinction of conditioned fear in humans. J Psychopharmacol (Oxf). 2012;26: 471–478. 10.1177/0269881111431624 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Guastella AJ, Lovibond PF, Dadds MR, Mitchell P, Richardson R. A randomized controlled trial of the effect of d-cycloserine on extinction and fear conditioning in humans. Behav Res Ther. 2007;45: 663–672. 10.1016/j.brat.2006.07.005 [DOI] [PubMed] [Google Scholar]
  • 19.Kuriyama K, Honma M, Soshi T, Fujii T, Kim Y. Effect of D-cycloserine and valproic acid on the extinction of reinstated fear-conditioned responses and habituation of fear conditioning in healthy humans: a randomized controlled trial. Psychopharmacology (Berl). 2011;218: 589–597. 10.1007/s00213-011-2353-x [DOI] [PubMed] [Google Scholar]
  • 20.Kuriyama K, Honma M, Yoshiike T, Kim Y. Valproic acid but not d-cycloserine facilitates sleep-dependent offline learning of extinction and habituation of conditioned fear in humans. Neuropharmacology. 2013;64: 424–431. 10.1016/j.neuropharm.2012.07.045 [DOI] [PubMed] [Google Scholar]
  • 21.Milad MR, Wright CI, Orr SP, Pitman RK, Quirk GJ, Rauch SL. Recall of fear extinction in humans activates the ventromedial prefrontal cortex and hippocampus in concert. Biol Psychiatry. 2007;62: 446–454. 10.1016/j.biopsych.2006.10.011 [DOI] [PubMed] [Google Scholar]
  • 22.Milad MR, Pitman RK, Ellis CB, Gold AL, Shin LM, Lasko NB, et al. Neurobiological basis of failure to recall extinction memory in posttraumatic stress disorder. Biol Psychiatry. 2009;66: 1075–1082. 10.1016/j.biopsych.2009.06.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Kredlow AM, Orr SP, Otto MW. Who is studied in de novo fear conditioning paradigms? An examination of demographic and stimulus characteristics predicting fear learning. Int J Psychophysiol. 2018;130: 21–28. 10.1016/j.ijpsycho.2018.05.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Otto MW, Moshier SJ, Kinner DG, Simon NM, Pollack MH, Orr SP. De novo fear conditioning across diagnostic groups in the affective disorders: evidence for learning impairments. Behav Ther. 2014;45: 619–629. 10.1016/j.beth.2013.12.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Marin MF, Barbey F, Rosenbaum BL, Hammoud MZ, Orr SP, Milad MR. Absence of conditioned responding in humans: A bad measure or individual differences?. Psychophysiol. 2019;13: e13350 10.1111/psyp.13350 [DOI] [PubMed] [Google Scholar]
  • 26.Hofmann SG, Carpenter JK, Otto MW, Rosenfield D, Smits JAJ, Pollack MH. Dose timing of d-cycloserine to augment cognitive behavioral therapy for social anxiety: study design and rationale. Contemp Clin Trials. 2015;43: 223–230. 10.1016/j.cct.2015.06.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Lonsdorf TB, Menz MM, Andreatta M, Fullana MA, Golkar A, Haaker J, et al. Don’t fear ‘fear conditioning’: Methodological considerations for the design and analysis of studies on human fear acquisition, extinction, and return of fear. Neurosci Biobehav Rev. 2017;77: 247–285. 10.1016/j.neubiorev.2017.02.026 [DOI] [PubMed] [Google Scholar]
  • 28.Lonsdorf TB, Merz CJ, Fullana MA. Fear extinction retention: is it what we think it is? Biol Psychiatry. 2019;85: 1074–1082. 10.1016/j.biopsych.2019.02.011 [DOI] [PubMed] [Google Scholar]
  • 29.Liebowitz MR. Social phobia. Mod Probl Pharmacopsychiatry. 1987;22: 141–173. 10.1159/000414022 [DOI] [PubMed] [Google Scholar]
  • 30.Montgomery SA, Åsberg M. A New depression scale designed to be sensitive to change. br j psychiatry. 1979;134: 382–389. 10.1192/bjp.134.4.382 [DOI] [PubMed] [Google Scholar]
  • 31.Grady AK, Bowen KH, Hyde AT, Totsch SK, Knight DC. Effect of continuous and partial reinforcement on the acquisition and extinction of human conditioned fear. Behav Neurosci. 2016;130: 36–43. 10.1037/bne0000121 [DOI] [PubMed] [Google Scholar]
  • 32.Benedek M, Kaernbach C. A continuous measure of phasic electrodermal activity. J Neurosci Methods. 2010;190: 80–91. 10.1016/j.jneumeth.2010.04.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Fricchione J, Greenberg MS, Spring J, Wood N, Mueller‐Pfeiffer C, Milad MR, et al. Delayed extinction fails to reduce skin conductance reactivity to fear-conditioned stimuli. Psychophysiology. 2016;53: 1343–1351. 10.1111/psyp.12687 [DOI] [PubMed] [Google Scholar]
  • 34.Kredlow AM, Orr SP, Otto MW. Exploring the boundaries of post-retrieval extinction in healthy and anxious individuals. Behav Res Ther. 2018;108: 45–57. 10.1016/j.brat.2018.06.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Schiller D, Kanen JW, LeDoux JE, Monfils M-H, Phelps EA. Extinction during reconsolidation of threat memory diminishes prefrontal cortex involvement. Proc Natl Acad Sci. 2013;110: 20040–20045. 10.1073/pnas.1320322110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Steinfurth ECK, Kanen JW, Raio CM, Clem RL, Huganir RL, Phelps EA. Young and old Pavlovian fear memories can be modified with extinction training during reconsolidation in humans. Learn Mem. 2014;21: 338–341. 10.1101/lm.033589.113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Duits P, Cath DC, Lissek S, Hox JJ, Hamm AO, Engelhard IM, et al. Updated meta‐analysis of classical fear conditioning in the anxiety disorders. Depress Anxiety. 2015;32: 239–253. 10.1002/da.22353 [DOI] [PubMed] [Google Scholar]
  • 38.Kredlow AM, Unger LD, Otto MW. Harnessing reconsolidation to weaken fear and appetitive memories: a meta-analysis of post-retrieval extinction effects. Psychol Bull. 2016;142: 314–336. 10.1037/bul0000034 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Grillon C. DCS facilitation of fear extinction and exposure-based therapy may rely on lower-level, automatic mechanisms. Biol Psychiatry. 2009;66: 636–641. 10.1016/j.biopsych.2009.04.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Carpenter JK, Pinaire M, Hofmann SG. from extinction learning to anxiety treatment: Mind the gap. Brain Sci. 2019;9: 164. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Mineka S, Öhman A. Phobias and preparedness: The selective, automatic, and encapsulated nature of fear. Biol Psychiatry. 2002;52: 927–937. 10.1016/s0006-3223(02)01669-4 [DOI] [PubMed] [Google Scholar]
  • 42.Mallan KM, Lipp OV, Cochrane B. Slithering snakes, angry men and out-group members: What and whom are we evolved to fear?. Cogn Emot. 2013;27: 1168–1180. 10.1080/02699931.2013.778195 [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Judith Homberg

16 Jul 2019

PONE-D-19-15283

Effect of d-cycloserine on fear extinction training in adults with social anxiety disorder

PLOS ONE

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Reviewer #1: The manuscript ‘Effect of d-cycloserine on fear extinction training in adults with social anxiety disorders’ describes the results of a three-day fear learning paradigm. Participants were randomly allocated to receive 50 mg d-cycloserine (DCS) or placebo one hour prior to extinction training on day 2. Data of 43 participants suggested that the fear-learning task successfully produced the desired learning effects, but that DCS did not moderate any effects. The authors conclude that they found no evidence for the putative mechanism of action of DCS: enhancement of extinction memory consolidation.

This study should be considered an important contribution to the literature. Thus far, no study has investigated whether DCS enhances extinction memory consolidation during a de novo fear conditioning paradigm in a clinical population. As such, the current study fills an important gap in the translation of pre-clinical work in healthy controls to treatment interventions for those suffering from anxiety disorders. Moreover, the current study makes use of a three-day paradigm, allowing to disentangle the learning and memory effects of acquisition, extinction and retention. However, the current manuscript suffers also from some weaknesses, which should be addressed.

Abstract:

• The authors state that “human studies of DCS augmentation in a de novo fear paradigm have been scarce and inconclusive”. However, in the introduction they report that all these studies had null-findings. The authors may want to rephrase their summary of findings in the abstract.

• The findings of the study are summarized in two sentences in the abstract. The authors should consider discussing their findings in greater detail and formulating their findings related to the experimental phases (and thus the hypotheses), instead of merely stating that DCS did not moderate fear responses.

Introduction:

• On page 4. the authors write: “Despite this hope, and despite the wealth of clinical trial data showing DCS augmentation success…”. Clinical trial data has shown both DCS augmentation success and failure. A more balanced statement would better reflect the overall clinical trial data for DCS augmentation.

• Was the decision to only include those who demonstrated adequate conditioning of de novo fears an a-priori or post-hoc decision? Of note, performance-based exclusion is not always recommended (see f.i. Lonsdorf et al., 2017 Don’t fear fear conditioning. Neuroscience and Biobehav Reviews). The authors should consider performing additional analyses on all available data.

• On line 85/86 page 4, the authors state that the aims, hypotheses, design, and planned statistical analyses of this experiment were published. However, the protocol paper describes the aim, design and outcome of interest, but these do not completely overlap with the current report. The authors have done different analyses than they originally planned and should explain why they changed their plans.

• The authors should formulate their hypotheses in terms of the experimental phases: What were the specific hypotheses regarding extinction recall and renewal?

Methods:

• The participants self-selected to participate in the experiment. Less than half of participants in the clinical trial chose to participate in the experiment. Is there any information available regarding reasons to not participate in the current study?

• What was the reason for choosing a reinforcement rate of 62.5%? The authors should comment on that in the method section of the manuscript. (In addition, could this low reinforcement rate be related to the failure to acquire fear in half of the sample? The authors should critically discuss this in their discussion section).

• On page 8, line 166: should safe context be danger context?

• Was the decision to analyze US expectancy ratings as a secondary outcome made a-priori or post-hoc? Please clarify.

• In the description of the statistical analyses for the recall and renewal phases the “phase term" seems to be missing.

Results:

• Did those who did not demonstrate discriminant SCR conditioning also not demonstrate explicit contingency learning as indexed by US expectancies? Did those measures align? If not, what was the overlap between measures?

• The sample sizes in table 1 are a bit confusing: Why are there differences in sample size between phases? Please also address this in the Table notes.

• For the SCR, the stimulus by stage interaction is not significant in the extinction phase. How should this be interpreted? Please clarify.

• Page 14, line 284-285. This sentence is slightly confusing, please consider rewriting.

Discussion:

• The decision to exclude those that showed no differential SCR conditioning should be critically discussed (see Marin et al., 2019 Absence of conditioned responding in humans: A bad measure or individual differences; Lonsdorf et al., 2017)

• The discussion should include a critical reflection on the experimental design (e.g. the reinforcement rate, the outcome measures, the stimuli used (CS’s and US), etc.)

• The authors should consider including future research directions in their discussion.

Reviewer #2: The authors studied the effect of a single dose of the N-methyl-D-aspartate partial agonist D-cycloserine (DCS; 50mg) on fear extinction in patients with diagnosed social anxiety disorder using a de novo fear conditioning and extinction paradigm in the laboratory over 3 experimental days. It was found that pre-extinction DCS did not affect physiological (skin conductance response (SCR)) and psychological (shock expectancy) parameters assessed during fear extinction training, recall or renewal. The authors conclude that DCS has no benefit in humans in de novo fear extinction.

The present data adds on numerous studies showing variable effects of DCS on fear extinction and exposure based therapy in healthy and psychopathological subjects (humans and animals), respectively. I have a number of concerns regarding the design of the study, the presentation and interpretation of the results as outlined below in detail:

Major concerns:

1. Several important procedural and technical details are missing and need to be added before a final sound evaluation of this manuscript can be made. Authors should refer e.g. to table 6 in Lonsdorf et al 2017, Neuroscience and Biobehavioral reviews to provide missing information, such as for example:

a. Please provide details on the skin conductance measure. Which system and which settings were used? Which sampling rate?

b. Please provide the data (mean + SD) of actually used shock intensities of the unconditioned stimulus on pp6.

c. Please explain why (different to previous papers of the group) this time partial contingency was used, pairing 5 out of 8 CS with the US.

d. Indicate what is considered as early and late stages of the diverse extinction sessions.

2. The main conclusion of the authors that DCS does not affect fear extinction in this experimental setup cannot be drawn from the presented data. In my opinion the data do not support the formation of a fear memory that could be extinguished in the study population. First, no usable SCR was obtained for 15% of the participants due to technical problems and 38% of the remaining participants did not learn the fear association adequately (as indicated by no difference in SCR to CS- and CS+) and, thus, were excluded from the analysis. The fact that only half of the study population was used, raises questions whether this paradigm was suited for social anxiety patients. Importantly, placebo controls showed the same SCR in response to the CS+ as to the CS- during early extinction phase suggesting that no fear memory was formed. Furthermore, there seems to be no fear extinction, as the reduction in SCR is similarly present in unconditioned and conditioned placebo controls suggesting habituation rather than fear extinction. Finally, in contrast to the (early) extinction trial, CS+ groups showed higher fear responses than CS- groups in extinction recall and renewal sessions. This could be an effect of fear reconsolidation. Please explain.

3. Several recent meta-analysis and publications (including important contributions some of the authors of the present MS) critically discuss the importance of timepoint of DCS administration when used as an adjunct to exposure based therapy. Against the recommendation that DCS should be administered AFTER successful fear extinction training (i.e. reduction in fear responses) in order to reduce the risk of enhancing the previously formed fear memory by facilitating reconsolidation, the authors administered DCS PRIOR to fear extinction training. Please explain and critically discuss why this timepoint for DCS administration was chosen.

4. Figure legends 2 and 3 are sloppy, they just give a title and do not provide information on the data presented and the abbreviations in the figures (kind of data shown (mean +/- sem?). Needs to be revised.

Minor points:

5. Figure 1. For a better temporal resolution of the experimental protocol, a timeline including the images presented in figure 1 and procedures (pairings details also given below the images) should be included. Please also show habituation period in the timeline.

6. In general, some parts of the MS are written in present tense rather than past tense. Please revise.

7. On pp8, line 159 check description of the safe context. Furthermore, on the same page, on line 166 I think the contexts for renewal got mixed up and it should be “within threat context” rather than “safe” context. Please correct.

8. Please clarify the abbreviation PBO mentioned for the first time on pp9, line 194. Please either stick to PBO or placebo throughout the manuscript.

9. Table 1 and 2 seem to be redundancies of the main text (pp11-15).

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Reviewer #1: No

Reviewer #2: No

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PLoS One. 2019 Oct 17;14(10):e0223729. doi: 10.1371/journal.pone.0223729.r002

Author response to Decision Letter 0


27 Aug 2019

Reviewer #1: The manuscript ‘Effect of d-cycloserine on fear extinction training in adults with social anxiety disorders’ describes the results of a three-day fear learning paradigm. Participants were randomly allocated to receive 50 mg d-cycloserine (DCS) or placebo one hour prior to extinction training on day 2. Data of 43 participants suggested that the fear-learning task successfully produced the desired learning effects, but that DCS did not moderate any effects. The authors conclude that they found no evidence for the putative mechanism of action of DCS: enhancement of extinction memory consolidation.

This study should be considered an important contribution to the literature. Thus far, no study has investigated whether DCS enhances extinction memory consolidation during a de novo fear conditioning paradigm in a clinical population. As such, the current study fills an important gap in the translation of pre-clinical work in healthy controls to treatment interventions for those suffering from anxiety disorders. Moreover, the current study makes use of a three-day paradigm, allowing to disentangle the learning and memory effects of acquisition, extinction and retention. However, the current manuscript suffers also from some weaknesses, which should be addressed.

Abstract:

• The authors state that “human studies of DCS augmentation in a de novo fear paradigm have been scarce and inconclusive”. However, in the introduction they report that all these studies had null-findings. The authors may want to rephrase their summary of findings in the abstract.

Response: We have revised the respective sentences in order to make them more concordant, as seen below.

Abstract:

“Preclinical and clinical data have shown that D-cycloserine (DCS), a partial agonist at the N-methyl-d-aspartate receptor complex, augments the retention of fear extinction in animals and the therapeutic learning from exposure therapy in humans. However, studies with non-clinical human samples in de novo fear conditioning paradigms have demonstrated minimal to no benefit of DCS.”

Page 4:

“Despite this hope, and despite evidence of successful DCS augmentation in clinical trials, initial human studies using de novo fear conditioning paradigms have shown minimal to no effect of DCS on the retention of extinction learning. Specifically, studies examining the effects of DCS augmentation on extinction recall and fear renewal have consistently had null findings [15–18], though some evidence of reduced reinstatement has been found [17,18].”

• The findings of the study are summarized in two sentences in the abstract. The authors should consider discussing their findings in greater detail and formulating their findings related to the experimental phases (and thus the hypotheses), instead of merely stating that DCS did not moderate fear responses.

Response: We have revised the abstract accordingly:

“The primary outcome was skin conductance response to conditioned stimuli, and shock expectancy ratings were examined as a secondary outcome. Results showed greater skin conductance and expectancy ratings in response to the CS+ compared to CS- at the end of conditioning. As expected, this difference was no longer present at the end of extinction training, but returned at early recall and renewal phases on Day 3, showing evidence of return of fear. In contrast to hypotheses, DCS had no moderating influence on skin conductance response or expectancy of shock during recall or renewal phases.

Introduction:

• On page 4. the authors write: “Despite this hope, and despite the wealth of clinical trial data showing DCS augmentation success…”. Clinical trial data has shown both DCS augmentation success and failure. A more balanced statement would better reflect the overall clinical trial data for DCS augmentation.

Response: We have ensured our statements of DCS’s clinical effects are balanced with the following on page 3:

Although results across individual clinical trials have been variable [e.g., 7,8], a recent meta-analysis indicates that across disparate clinical trials of anxiety disorders, DCS augmentation of exposure therapy offers advantages on the order of a small effect size (d = 0.25) for enhancing early response to treatment relative to placebo [9].

And page 4:

Despite this hope, and despite evidence of successful DCS augmentation in clinical trials...

• Was the decision to only include those who demonstrated adequate conditioning of de novo fears an a-priori or post-hoc decision? Of note, performance-based exclusion is not always recommended (see f.i. Lonsdorf et al., 2017 Don’t fear fear conditioning. Neuroscience and Biobehav Reviews). The authors should consider performing additional analyses on all available data.

Response: We decided a priori to exclude non-conditioners, as this is a consistent approach for our team members. We have also provided additional clarification for our rationale, including citations to our past studies and an additional citation showing that conditioning failures reflect differential brain processing of the conditioning stimuli.

Page 4-5: “Third, to provide a direct test of extinction effects that have an analogue to clinical fears, we assessed DCS vs. placebo augmentation effects only in individuals who demonstrated adequate acquisition of de novo fears (indeed, among both anxious and healthy samples a substantial proportion of participants may fail to show fear acquisition on skin conductance measures [18,23,24], and there is evidence that poor skin conductance conditioning reflects hypoactivation of brain regions involved in fear learning and expression [25].”

And on page 10: “This approach is consistent with our previous work [21,22], and was done to ensure that participants included in the analysis demonstrated adequate fear learning that could meaningfully be subjected to extinction and renewal procedures in the subsequent phases of the study (see also Marin et al. 2019).”

Yet, we are aware that different opinions exist on this methodological strategy, and to respond to such concerns, we include the following on pages 11-12

“Following the recommendations of Lonsdorf et al., 2019, we performed sensitivity analyses to determine whether exclusion of non-conditioners influences results. No differential effects were obtained relative to those reported below, and we report these results as supplementary material.”

• On line 85/86 page 4, the authors state that the aims, hypotheses, design, and planned statistical analyses of this experiment were published. However, the protocol paper describes the aim, design and outcome of interest, but these do not completely overlap with the current report. The authors have done different analyses than they originally planned and should explain why they changed their plans.

We have clarified this on pg. 5: “Prior to data analysis we made several modifications to the analytic approach described in Hofmann et al. (2015) [23] to be consistent with the latest methodological advancements and recommendations. Specifically, we used continuous decomposition analysis to extract skin conductance responses and we tested the pre-specified hypotheses in ANOVA that included a term for contrasts between stimuli, as opposed to subtracting CS- SCRs from CS+ SCRs prior to analyses [27]. Another modification was to omit the prespecified “Extinction Retention Index” (ERI) analysis in light of a recent publication [28] which outlined theoretical and procedural problems with its operationalization, including the existence of 16 different calculations of the ERI in the literature.”

The authors should formulate their hypotheses in terms of the experimental phases: What were the specific hypotheses regarding extinction recall and renewal?

We have done so on pg. 5:

“Prior to study initiation, hypotheses (i.e., DCS enhancement of extinction recall and reduction of fear renewal) were published in Hofmann et al. [26].”

Methods:

• The participants self-selected to participate in the experiment. Less than half of participants in the clinical trial chose to participate in the experiment. Is there any information available regarding reasons to not participate in the current study?

Response: This specific experiment was optional and considered a separate study from the clinical trial. All eligible participants were given the option to participate. We did not collect information regarding the reasons for or against choosing to participate.

• What was the reason for choosing a reinforcement rate of 62.5%? The authors should comment on that in the method section of the manuscript. (In addition, could this low reinforcement rate be related to the failure to acquire fear in half of the sample? The authors should critically discuss this in their discussion section).

Response: We now write on page 9:

“This reinforcement rate was used to replicate procedures from the previously validated paradigm used for this study [21,22], and because lower reinforcement rates create more uncertainty and lead to slower extinction [31,32], thus allowing more room for potential DCS augmentation effects.”

And page 17 of the discussion:

Such acquisition failure rates are not uncommon in human fear conditioning studies [23,24], and may have resulted from a relatively low reinforcement rate used during conditioning [32], or because clinical populations are less likely to demonstrate differential conditioning [38], even when 100% reinforcement schedules are used [24].

• On page 8, line 166: should safe context be danger context?

Response: We have corrected this to reflect the context used in the renewal phase.

• Was the decision to analyze US expectancy ratings as a secondary outcome made a-priori or post-hoc? Please clarify.

We now specify that our primary hypothesis relates to SCR on page 5, which is consistent with the published protocol paper (Hofmann et al., 2015).

“Our primary hypothesis was that DCS would augment de novo fear extinction learning of SCR through increased retention of extinction during a recall and renewal phase occurring 24 hours later.”

We clarify that the decision to analyze expectancy ratings as a secondary outcome was made post-hoc on page 4:

“Second, we reduced cues for higher-order processing (i.e. shock expectancy ratings administered during CS presentations), while retaining some assessment of explicit knowledge of the fear contingency in the form of retrospective expectancy ratings administered at the end of each experimental phase. This enabled us to evaluate post-hoc whether DCS effects on skin conductance response (SCR) were mirrored by expectancy ratings.”

• In the description of the statistical analyses for the recall and renewal phases the “phase term" seems to be missing.

Response: We have added the term into the description (pg. 11)

Results:

• Did those who did not demonstrate discriminant SCR conditioning also not demonstrate explicit contingency learning as indexed by US expectancies? Did those measures align? If not, what was the overlap between measures?

Response: We write on page 11:

“Total LSAS score,... MADRS score,…and US intensity... were not significantly different between participants that did and did not show differential SCR conditioning, nor was differential US expectancy (CS+E minus CS-), t(66) = -0.59, p = 0.56, conditioners: M = 2.33, SD = 1.34; non-conditioners: M = 2.11, SD = 1.70, or likelihood of contingency awareness, χ2 (1) = 2.42, p = 0.120, at the end of the conditioning phase.”

• The sample sizes in table 1 are a bit confusing: Why are there differences in sample size between phases? Please also address this in the Table notes.

Response: We have clarified this in the methods section (pg. 10):

“Since hypotheses were tested within each phase, participants were not excluded from analysis in one phase when they had incomplete data in another phase, which resulted in minor variations in sample size across phases.”

• For the SCR, the stimulus by stage interaction is not significant in the extinction phase. How should this be interpreted? Please clarify.

Response: Our SCR data did reflect a lack of specificity for the extinction effects observed on Day 2: there was a decrease in responding across the CSs, without the stated interaction reaching significance. The most reasonable hypotheses for the failure of this interaction effect is generalization occurring between Day 1 and Day 2, so that safety was learned across cues that shared at least some fear associations (due to shared context, heightened shock expectation for all stimuli,or diminished retention of “fear” of the CS+). Nonetheless, results for the expectancy ratings were clear (i.e., had the expected stimulus by stage interaction), and differential conditioning for SCR was evident on Day 3 in the recall and renewal paradigms, supporting the notion that learning persisted to Day 3. Finally, despite the lack of clear differential SCR at extinction initiation, reactivity to both CS+ and CS- decreased significantly across the extinction phase, presumably providing an extinction learning substrate for DCS augmentation. In the revised discussion we now devote a paragraph to explicating these issues (page 17-18):

“Second, despite selection of those displaying adequate fear acquisition, fear retention (and a stimulus by phase interaction) at the outset of the Day Two extinction phase was evident only for the expectancy measure not for SCR. This flattening of the differential responding between the CS+ and CS- may reflect a combination of stimulus generalization and poor consolidation, although it is clear from the recall and renewal effects that greater fear learning to the CS+ persisted relative to the CS-. In addition, extinction of reactivity to both CSs was achieved across phases, presumably providing adequate extinction learning for augmentation.”

• Page 14, line 284-285. This sentence is slightly confusing, please consider rewriting.

We have revised the sentence as following (now on page 16):

“There was a significant main effect of Group, F(1, 39) = 4.42, p = .042, η²p = .10, indicating lower US expectancy ratings across all stimuli and stages in the DCS group relative to PBO. However, all interactions with Group were nonsignificant (all ps > .096).”

Discussion:

• The decision to exclude those that showed no differential SCR conditioning should be critically discussed (see Marin et al., 2019 Absence of conditioned responding in humans: A bad measure or individual differences; Lonsdorf et al., 2017)

Response: As described in response to the point above, we have now provided, on pages 5 and 10 a more complete rationale for our exclusion of those showing no differential conditioning, including citations of both Marin and Londsdorf in that section.

We also write on page 17-18:

“Such acquisition failure rates are not uncommon in human fear conditioning studies [23,24], and may have resulted from a relatively low reinforcement rate used during conditioning [32], or because clinical populations are less likely to demonstrate differential conditioning [38], even when 100% reinforcement schedules are used [24]. Accordingly, our acquisition results are well in line with expectations from the literature. A necessary consequence to our decision to examine extinction effects only in those who had acquired a differential response is that our results are necessarily specific to individuals who learned a conditioned fear. Nonetheless, there were no differences in clinical severity, contingency awareness, or US expectancy between conditioners and non-conditioners. Moreover, results did not differ when non-conditioners were included in the analysis.”

• The discussion should include a critical reflection on the experimental design (e.g. the reinforcement rate, the outcome measures, the stimuli used (CS’s and US), etc.)

• The authors should consider including future research directions in their discussion.

Response: In addition to our response to the preceding point, we have written the following on page 19-20 of the discussion.

“Given the limitations of the present study (e.g. relatively weak conditioning as measured by SCR) and evidence that DCS can reduce reinstatement [19,20], it would be worth further investigating the procedural variants that might enable detection of DCS augmentation effects found in animal and human clinical research (see [41] for a discussion of needed improvements to human fear conditioning paradigms). For instance, using biologically “prepared” or other fear-relevant stimuli can lead to stronger conditioned responses that reflect a greater role of lower-order fear learning processes [42,43], and therefore may be more susceptible to the effects of DCS.

Reviewer #2: The authors studied the effect of a single dose of the N-methyl-D-aspartate partial agonist D-cycloserine (DCS; 50mg) on fear extinction in patients with diagnosed social anxiety disorder using a de novo fear conditioning and extinction paradigm in the laboratory over 3 experimental days. It was found that pre-extinction DCS did not affect physiological (skin conductance response (SCR)) and psychological (shock expectancy) parameters assessed during fear extinction training, recall or renewal. The authors conclude that DCS has no benefit in humans in de novo fear extinction.

The present data adds on numerous studies showing variable effects of DCS on fear extinction and exposure based therapy in healthy and psychopathological subjects (humans and animals), respectively. I have a number of concerns regarding the design of the study, the presentation and interpretation of the results as outlined below in detail:

Major concerns:

1. Several important procedural and technical details are missing and need to be added before a final sound evaluation of this manuscript can be made. Authors should refer e.g. to table 6 in Lonsdorf et al 2017, Neuroscience and Biobehavioral reviews to provide missing information, such as for example:

a. Please provide details on the skin conductance measure. Which system and which settings were used? Which sampling rate?

We now write on page 7:

“At the University of Texas-Austin site, a BIOPAC MP150 Psychophysiological Recording Apparatus (BIOPAC Systems, Inc., USA), was used, and data were acquired using AcqKnowledge 4.0 software. At Boston University and Rush University, psychophysiological data were recorded with custom equipment made by James Long Company, Caroga Lake, NY, and the data-acquisition program Snap-Master for Windows. Across sites, the sampling rate was 1000 Hz.”

b. Please provide the data (mean + SD) of actually used shock intensities of the unconditioned stimulus on pp6.

Response: This has been added on page 7:

“...mean shock intensity was 1.86 Milliamperes (SD = 1.56).”

We also added a comparison of shock intensity between conditioners and non-conditioners to check whether this variable may have been related to likelihood of skin conductance conditioning, which it was not.

Page 11: “...US intensity (i.e. individually selected shock level), t(64) = -.35, p = .725 [was] not significantly different between participants that did and did not show differential SCR conditioning…”

c. Please explain why (different to previous papers of the group) this time partial contingency was used, pairing 5 out of 8 CS with the US.

Response: The reinforcement rate described in the protocol paper (Hofmann et al., 2015) was in error, as the original protocol as described in the NIH grant funding this study stated that a partial reinforcement rate of 62.5% (5 of 8 CS+ presentations) would be used.

d. Indicate what is considered as early and late stages of the diverse extinction sessions.

We write on page 10:

“(6) for the conditioning phase, the last four SCRs of each stimulus were averaged to calculate late conditioning, and for the remaining phases, the first two (early) and last two (late) trials were averaged;”

2. The main conclusion of the authors that DCS does not affect fear extinction in this experimental setup cannot be drawn from the presented data. In my opinion the data do not support the formation of a fear memory that could be extinguished in the study population. First, no usable SCR was obtained for 15% of the participants due to technical problems and 38% of the remaining participants did not learn the fear association adequately (as indicated by no difference in SCR to CS- and CS+) and, thus, were excluded from the analysis. The fact that only half of the study population was used, raises questions whether this paradigm was suited for social anxiety patients. Importantly, placebo controls showed the same SCR in response to the CS+ as to the CS- during early extinction phase suggesting that no fear memory was formed. Furthermore, there seems to be no fear extinction, as the reduction in SCR is similarly present in unconditioned and conditioned placebo controls suggesting habituation rather than fear extinction. Finally, in contrast to the (early) extinction trial, CS+ groups showed higher fear responses than CS- groups in extinction recall and renewal sessions. This could be an effect of fear reconsolidation. Please explain.

Is this actually significant?

Response: In the revision we better explain that our rates of successful/unsuccessful acquisition are in line with results in the literature - this is simply a surprisingly/ concerningly common result in the fear conditioning literature. Also, as explicated in paragraph 2 of our discussion, we are able to track the differential conditioning to the CS+ across the three days of our study (and note that it is evident in the expectancy ratings when it is not evident in SCR). Accordingly, we do believe we have a sample with adequate learning to have the potential to demonstrate a DCS effect. Yet we did not, a result that is also in line with the extant literature. In the discussion we now more clearly present the case for an adequate acquisition and extinction substrate for a fair DCS vs. Placebo experiment. Moreover, we now present results for the full sample in addition to our highly relevant conditioners. Given these factors, we do believe that our results are noteworthy (significant) and are a contribution to the field.

3. Several recent meta-analysis and publications (including important contributions some of the authors of the present MS) critically discuss the importance of timepoint of DCS administration when used as an adjunct to exposure based therapy. Against the recommendation that DCS should be administered AFTER successful fear extinction training (i.e. reduction in fear responses) in order to reduce the risk of enhancing the previously formed fear memory by facilitating reconsolidation, the authors administered DCS PRIOR to fear extinction training. Please explain and critically discuss why this timepoint for DCS administration was chosen.

Response: We recognize that a design that mirrors that of the clinical trial - i.e., pre-dosing vs. post-dosing vs. targeted dosing vs. placebo - would have been most optimal for addressing the question of whether DCS can facilitate fear extinction retention (and under which conditions). At the time of study onset, there was no clear evidence suggesting that post-dosing outperforms pre-dosing. Hence, because this experiment was considered secondary to the trial and we aimed to make an adequately powered experiment feasible, we opted for a two-cell design comparing pre-dosing to placebo.

4. Figure legends 2 and 3 are sloppy, they just give a title and do not provide information on the data presented and the abbreviations in the figures (kind of data shown (mean +/- sem?). Needs to be revised.

The y-axis of the figure states the measure (e.g., SCR mean +/- SE). We have explained all abbreviations in the figure legend:

“PBO = placebo group, DCS = d-cycloserine, SCR = skin conductance response, SE = 1 standard error, CS- = stimulus that was not paired with shock, CS+E = stimulus that was paired with shock during conditioning and presented in the extinction phase, CS+U = stimulus that was paired with shock during conditioning but not presented in the extinction phase.”

Minor points:

5. Figure 1. For a better temporal resolution of the experimental protocol, a timeline including the images presented in figure 1 and procedures (pairings details also given below the images) should be included. Please also show habituation period in the timeline.

Response: We have revised the figure to better represent the temporal aspects of the procedure.

6. In general, some parts of the MS are written in present tense rather than past tense. Please revise.

Response: We have revised accordingly.

7. On pp8, line 159 check description of the safe context. Furthermore, on the same page, on line 166 I think the contexts for renewal got mixed up and it should be “within threat context” rather than “safe” context. Please correct.

Response: The descriptions of the safe and threat contexts throughout the different stages of the paradigm are now accurate.

8. Please clarify the abbreviation PBO mentioned for the first time on pp9, line 194. Please either stick to PBO or placebo throughout the manuscript.

Response: We have clarified the abbreviation and used PBO throughout the manuscript

9. Table 1 and 2 seem to be redundancies of the main text (pp11-15)

Response: Our preference is to retain them because they provide the statistics of all model terms, including nonsignificant results, whereas the main text summarizes only the significant results.

Attachment

Submitted filename: DCS SAD Fear Conditioning Response to Reviewers 8.23.19.docx

Decision Letter 1

Judith Homberg

20 Sep 2019

PONE-D-19-15283R1

Effect of d-cycloserine on fear extinction training in adults with social anxiety disorder

PLOS ONE

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Reviewer #1: The authors have addressed all my earlier comments. I have only one minor comment. The authors argue that the 62.5 % reinforcement rate "... was used ... because lower reinforcement rates create more uncertainty and lead to slower extinction [31,32], thus allowing more room for potential DCS augmentation effects." . As DCS is not believed to facilitate extinction learning, but rather to enhance extinction consolidation, I am not sure whether the second part of their argumentation is valid.

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PLoS One. 2019 Oct 17;14(10):e0223729. doi: 10.1371/journal.pone.0223729.r004

Author response to Decision Letter 1


25 Sep 2019

Reviewer #1: The authors have addressed all my earlier comments. I have only one minor comment. The authors argue that the 62.5 % reinforcement rate "... was used ... because lower reinforcement rates create more uncertainty and lead to slower extinction [31,32], thus allowing more room for potential DCS augmentation effects." . As DCS is not believed to facilitate extinction learning, but rather to enhance extinction consolidation, I am not sure whether the second part of their argumentation is valid.

Response: We changed the sentence

“This reinforcement rate was used to replicate procedures from the previously validated paradigm used for this study [21,22], because lower reinforcement rates create more uncertainty and lead to slower extinction [31,32], thus allowing more room for potential DCS augmentation effects.”

To the following:

This reinforcement rate was used to replicate procedures from the previously validated paradigm used for this study [21,22], and to prevent the rapid extinction seen in protocols with 100% reinforcement [27,31].

Attachment

Submitted filename: DCS SAD Fear Conditioning Response to Reviewers1.docx

Decision Letter 2

Judith Homberg

27 Sep 2019

Effect of d-cycloserine on fear extinction training in adults with social anxiety disorder

PONE-D-19-15283R2

Dear Dr. Hofmann,

We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements.

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Judith Homberg

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Judith Homberg

9 Oct 2019

PONE-D-19-15283R2

Effect of d-cycloserine on fear extinction training in adults with social anxiety disorder

Dear Dr. Hofmann:

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 File. Dataset.

    This is the complete dataset used for analyses.

    (CSV)

    S2 File. Supplementary analyses.

    Sensitivity analyses were run with all available data to determine whether exclusion of non-conditioners affected the impact of DCS vs. PBO on extinction retention. Consistent with results when analyzing only conditioners, no main or interactive effects of group were seen during recall or renewal phases for SCR or US expectancy data.

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    Attachment

    Submitted filename: DCS SAD Fear Conditioning Response to Reviewers 8.23.19.docx

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    Submitted filename: DCS SAD Fear Conditioning Response to Reviewers1.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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