Jordi Llabrés

Virtual Reality Versus Computer-Aided Exposure Treatments for Fear of Flying

Evidence is growing that two modalities of computer-based exposure therapies—virtual reality and computer-aided psychotherapy—are effective in treating anxiety disorders, including fear of flying. However, they have not yet been directly compared. The aim of this study was to analyze the efficacy of three computer-based exposure treatments for fear of flying: virtual reality exposure therapy (VRET), computer-aided exposure with a therapist’s (CAE-T) assistance throughout exposure sessions, and self-administered computer-aided exposure (CAE-SA). A total of 60 participants with flying phobia were randomly assigned to VRET, CAE-T, or CAE-SA. Results indicate that the three interventions were effective in reducing fear of flying at posttreatment and at 1-year follow-up; furthermore, there were no significant differences between them in any of the outcome measure. Large within-group effect sizes were found for all three treatment conditions at both posttreatment and at follow-up. The results suggest that therapist involvement might be minimized during computer-based treatments and that CAE can be as effective as VRET in reducing fear of flying.

Fear induced complexity loss in the electrocardiogram of flight phobics: A multiscale entropy analysis

In this study we explored the changes in the variability and complexity of the electrocardiogram (ECG) of flight phobics (N=61) and a matched non-phobic control group (N=58) when they performed a paced breathing task and were exposed to flight related stimuli. Lower complexity/entropy values were expected in phobics as compared to controls. The phobic system complexity as well as the heart rate variability (HRV) were expected to be reduced by the exposure to fearful stimuli. The multiscale entropy (MSE) analysis revealed lower entropy values in phobics during paced breathing and exposure, and a complexity loss was observed in phobics during exposure to threatening situations. The expected HRV decreases were not found in this study. The discussion is focused on the distinction between variability and complexity measures of the cardiac output, and on the usefulness of the MSE analysis in the field of anxiety disorders.

Looking at the heart of low and high heart rate variability fearful flyers: self-reported anxiety when confronting feared stimuli.

Previous research has shown that phobic subjects with low heart rate variability (HRV) are less able to inhibit an inappropriate response when confronted with threatening words compared to phobic subjects with high HRV [Johnsen, B.H., Thayer, J.F., Laberg, J.C., Wormnes, B., Raadal, M., Skaret, E., et al., 2003. Attentional and physiological characteristics of patients with dental anxiety. Journal of Anxiety Disorders, 17, 75-87]. The aim of this study was to evaluate changes in self-reported anxiety when low HRV and high HRV fearful flyers (N=15) and a matched control group (N=15) were exposed to flight-related pictures, flight-related sounds or both pictures and sounds. We hypothesized that sounds would be crucial to evoke fear. Also, low HRV fearful flyers were expected to report higher anxiety than high HRV fearful flyers assuming anxiety as their inappropriate response. Decreases on HRV measures were also predicted for a subgroup of phobic participants (N=10) when confronted with the feared stimuli. Our data supported the hypothesis that sounds are crucial in this kind of phobia. Low HRV fearful flyers reported higher anxiety than high HRV fearful flyers in two out of three aversive conditions. The predicted HRV decreases were not found in this study. Results are discussed in the context of avoidance of exposure-based treatments.

Computer-Assisted Exposure Treatment for Flight Phobia: a Controlled Study

This study examines the efficacy of computer-assisted exposure (CAE) treatment in helping to overcome flight phobia and analyzes the role of relaxation and information-related components in the reduction of fear. Fifty flight phobics were randomly assigned to 1 of 3 methods of treatment: (a) CAE; (b) a multicomponent method of treatment of information, relaxation, and CAE (IRCAE); and (c) waiting list control treatment. At the end of the treatment, an actual flight was chartered. The results showed that the first 2 methods of treatments were more effective than the waiting list control treatment. The CAE group showed the greatest reduction in fear. According to data from the IRCAE group, no reduction in flight phobia was observed after the information-relaxation phase. Follow-up data showed that improvements in anxiety self-assessment rates remained constant.

Attentional control, attentional network functioning, and emotion regulation styles

Attentional network functioning in emotionally neutral conditions and self-reported attentional control (AC) were analysed as predictors of the tendency to engage in dysfunctional emotion regulation strategies. Diminished attentional orienting predicted an increased tendency to engage in brooding rumination, and enhanced alertness predicted a greater chance of suppression, beyond trait anxiety and self-reported AC, which were not predictive of either rumination or suppression. This is the first study to show that some forms of dysfunctional emotion regulation are related to the attentional network functioning in emotionally neutral conditions. Results are discussed in relation to regulatory temperament and anxiety-related attentional biases literature.

Vagally mediated heart rate variability and heart rate entropy as predictors of treatment outcome in flight phobia

In the present study a computer-assisted exposure-based treatment was applied to 54 flight phobics and the predictive role of vagally mediated heart rate (HR) variability (high frequency, 0.15-0.4 Hz band power) and heart rate entropy (HR time series sample entropy) on treatment outcome was investigated. Both physiological measures were taken under controlled breathing at 0.2 Hz and during exposure to a fearful sequence of audiovisual stimuli. Hierarchical regression analyses were conducted to assess the predictive power of these variables in these conditions on treatment self-report measures at the end of treatment and at 6 months follow-up, as well as on the behavioral treatment outcome (i.e. flying at the end of treatment). Regression models predicting significant amounts of outcome variance could be built only when HR entropy was added to the HR variability measure in a second step of the regression analyses. HR variability alone was not found to be a good predictor of neither self-reported nor behavioral treatment outcomes.

Linear and nonlinear analyses of EEG dynamics during non-painful somatosensory processing in chronic pain patients

The aim of our study was to characterize brain dynamics of affective modulation of somatosensory processing in chronic pain. We hypothesized that chronic pain patients will show abnormal EEG activity under negative mood conditions compared to healthy controls. Nineteen patients with chronic pain and 21 healthy subjects participated in the experiment. Multiscale entropy, fractal dimension, event-related potentials, and fast Fourier transform were used to analyze EEG data. A significant enhancement of entropy was found in pain patients at P4 compared to P3. Analysis of fractal dimension also revealed significantly higher values at P4 than P3 when pain patients were viewing unpleasant pictures. By contrast, no significant differences due to hemisphere or affective condition were found on nonlinear measures for healthy controls. Analyses of somatosensory ERPs showed that P50 amplitudes elicited by pleasant pictures were more reduced in chronic pain patients than in healthy controls. Finally, we observed that EEG band power was lower in pain patients than in healthy controls, in particular for theta and beta bands over sensorimotor cortices and temporal regions when viewing pleasant images. These findings suggest that sustained pain seems to be accompanied by an abnormal activation and dynamic of brain networks related to emotional processing of somatosensory information in chronic pain. Furthermore, our findings suggest that both linear and nonlinear measures of EEG time series may contribute to the understanding of brain dysfunction in chronic pain.

Computer-assisted therapy in the treatment of flight phobia: A case report

The efficacy of computer-assisted exposure (CAE) therapy for the treatment of flight phobia was examined. The subject was a 34-year-old man with severe fear and almost complete avoidance of flying. Six 50-minute CAE sessions and two 20-minute booster sessions were conducted over a period of 1 month. All self-reported measures of the fear of flying decreased following CAE, and before the subject took a one-hour flight with minimal distress. A follow-up after 6 months revealed that he had flown three times without anxiety. The implications of CAE for treatment of flight phobia are discussed.

Self-implication and heart rate variability during simulated exposure to flight-related stimuli

In the present study, the relationship between self-implication during simulated exposure to feared stimuli and Heart Rate Variability (HRV) was explored within the framework of the dynamical systems model of emotion regulation proposed by Thayer and Lane (Thayer, J.F., and Lane, R.D. (2000). A model of neurovisceral integration in emotion regulation and dysregulation. Journal of Affective Disorders, 61, 201–216.). An analogue sample of flight phobics (n=15) and a matched non-phobic control group (n=15) were presented with flight-related pictures, flight-related sounds or flight-related pictures and sounds. Significant differences on self-implication during exposure to flight-related sounds were found between low and high HRV fearful flyers, the former being more self-implied. However, the expected HRV decreases in the phobic participants exposed to feared stimuli were not found. These results emphasize the need to distinguish between high and low HRV fearful flyers in order to make a better use of the simulated exposure treatments.

Ecological assessment of heart rate complexity: Differences between high- and low-anxious adolescents.

Nonlinear measures can capture the complex structure of the heart beating, and recordings taken while the individual performs daily activities may help to understand the cardiac systems output in natural conditions. As healthy systems are characterized by having highly complex outputs, we hypothesized that the cardiac output from high anxious adolescents should be less complex than the output from their low anxious counterparts. In this study ECG was recorded for two hours in 50 adolescents while they performed regular school activities. Fractal dimension (FD), scaling exponents and multiscale entropy were calculated on the interbeat intervals time series. Both FD and entropy were significantly lower in the high-anxious group than the low-anxious group. These results suggest different heart-related regulation in adolescents who suffered from high anxious symptomatology.