Using neurobiological measures to predict and assess treatment outcome of psychotherapy in posttraumatic stress disorder: systematic review

Trauma-focused cognitive-behavioral therapy (TF-CBT) and eye movement desensitization and reprocessing (EMDR) are effective treatments for posttraumatic stress disorder. However, little is known about their neurobiological effects. The usefulness of neurobiological measures to predict the treatment outcome of psychotherapy also has yet to be determined. Systematic review of randomized controlled trials (RCTs) focused on neurobiological treatment effects of TF-CBT or EMDR and trials with neurobiological measures as predictors of treatment response. We included 23 publications reporting on 16 separate trials. TF-CBT was compared with a waitlist in most trials. TF-CBT was associated with a decrease in heart rate and blood pressure and changes in activity but not in volume of frontal brain structures and the amygdala. Neurobiological changes correlated with changes in symptom severity. EMDR was only tested against other active treatments in included trials. We did not find a difference in neurobiological treatment effects between EMDR and other treatments. Publications on neurobiological predictors of treatment response showed ambiguous results. TF-CBT was associated with a reduction of physiological reactivity. There is some preliminary evidence that TF-CBT influences brain regions involved in fear conditioning, extinction learning and possibly working memory and attention regulation; however, these effects could be nonspecific psychotherapeutic effects. Future trials should use paradigms aimed specifically at these brain regions and physiological reactivity. There are concerns regarding the risk of bias in some of the RCTs, indicating that methodologically more rigorous trials are required. Trials with neurobiological measures as predictors of treatment outcome render insufficient results to be useful in clinical practic

Magnetic resonance imaging for individual prediction of treatment response in major depressive disorder: a systematic review and meta-analysis

No tools are currently available to predict whether a patient suffering from major depressive disorder (MDD) will respond to a certain treatment. Machine learning analysis of magnetic resonance imaging (MRI) data has shown potential in predicting response for individual patients, which may enable personalized treatment decisions and increase treatment efficacy. Here, we evaluated the accuracy of MRI-guided response prediction in MDD. We conducted a systematic review and meta-analysis of all studies using MRI to predict single-subject response to antidepressant treatment in patients with MDD. Classification performance was calculated using a bivariate model and expressed as area under the curve, sensitivity, and specificity. In addition, we analyzed differences in classification performance between different interventions and MRI modalities. Meta-analysis of 22 samples including 957 patients showed an overall area under the bivariate summary receiver operating curve of 0.84 (95% CI 0.81–0.87), sensitivity of 77% (95% CI 71–82), and specificity of 79% (95% CI 73–84). Although classification performance was higher for electroconvulsive therapy outcome prediction (n = 285, 80% sensitivity, 83% specificity) than medication outcome prediction (n = 283, 75% sensitivity, 72% specificity), there was no significant difference in classification performance between treatments or MRI modalities. Prediction of treatment response using machine learning analysis of MRI data is promising but should not yet be implemented into clinical practice. Future studies with more generalizable samples and external validation are needed to establish the potential of MRI to realize individualized patient care in MDD

Catecholaminergic neuromodulation and selective attention jointly shape perceptual decision-making

Perceptual decisions about sensory input are influenced by fluctuations in ongoing neural activity, most prominently driven by attention and neuromodulator systems. It is currently unknown if neuromodulator activity and attention differentially modulate perceptual decision-making and/or whether neuromodulatory systems in fact control attentional processes. To investigate the effects of two distinct neuromodulatory systems and spatial attention on perceptual decisions, we pharmacologically elevated cholinergic (through donepezil) and catecholaminergic (through atomoxetine) levels in humans performing a visuo-spatial attention task, while we measured electroencephalography (EEG). Both attention and catecholaminergic enhancement improved decision-making at the behavioral and algorithmic level, as reflected in increased perceptual sensitivity and the modulation of the drift rate parameter derived from drift diffusion modeling. Univariate analyses of EEG data time-locked to the attentional cue, the target stimulus, and the motor response further revealed that attention and catecholaminergic enhancement both modulated pre-stimulus cortical excitability, cue- and stimulus-evoked sensory activity, as well as parietal evidence accumulation signals. Interestingly, we observed both similar, unique, and interactive effects of attention and catecholaminergic neuromodulation on these behavioral, algorithmic, and neural markers of the decision-making process. Thereby, this study reveals an intricate relationship between attentional and catecholaminergic systems and advances our understanding about how these systems jointly shape various stages of perceptual decision-making

Pretreatment cortisol predicts trauma-focused psychotherapy response in youth with (partial) posttraumatic stress disorder

Background: Despite availability of effective trauma-focused psychotherapies, treatment non-response in youth with (partial) posttraumatic stress disorder remains substantial. Studies in adult PTSD have suggested that cortisol is associated with treatment outcome. Furthermore, cortisol prior to treatment could be used to predict treatment success. However, there is a lack of comparable studies in youth with (partial) PTSD. The objective of the current study was therefore to test whether cortisol prior to treatment would differ between treatment responders and non-responders and would positively predict the extent of clinical improvement in youth with (partial) PTSD. Methods: Youth aged 8–18 with PTSD (79.2%) or partial PTSD (20.8%) were treated with 8 sessions of either trauma-focused cognitive behavioral therapy (TF-CBT) or eye movement desensitization and reprocessing (EMDR). Prior to treatment initiation, salivary cortisol was measured in treatment responders (n = 23) and treatment non-responders (n = 30) at 10 and 1 min before and 10, 20 and 30 min after personalized trauma script driven imagery (SDI). The cortisol stress response (>1.5 nmol/L increase from baseline) and basal cortisol secretion was assessed during the SDI procedure. We hypothesized that treatment responders would display higher cortisol levels caused by increased cortisol reactivity prior to trauma-focused psychotherapy relative to psychotherapy non-responders and higher cortisol levels would positively predict the extent of clinical improvement. Results: Script driven imagery did not induce a cortisol stress response in all but two participants. Prior to treatment responders showed significantly higher basal cortisol secretion during SDI compared to treatment non-responders. This effect remained significant after controlling for gender. Higher pre-treatment basal cortisol secretion further positively predicted the extent of clinical improvement during trauma-focused psychotherapy. Conclusion: Because SDI failed to provoke a cortisol stress response in our sample, the question if cortisol reactivity differs between treatment responders and non-responders remains inconclusive. However, our results do suggest that higher pretreatment basal cortisol secretion forms a potential indicator of prospective trauma-focused psychotherapy response in youth with (partial) PTSD. Although, the amount of uniquely explained variance in clinical improvement by pre-treatment cortisol secretion is limited and still renders insufficient basis for clinical applicability, these findings do suggest directions for future studies to delineate the mechanisms of treatment success in youth with (partial) PTS

Internet-based behavioural activation therapy versus online psychoeducation for self-reported suicidal ideation in individuals with depression in Indonesia: a secondary analysis of an RCT

Background Southeast Asia has the highest suicide mortality worldwide. To improve our knowledge on the effectiveness of interventions for suicidal ideation (SI) in individuals with depression in Indonesia, we conducted a secondary analysis of a randomised controlled trial.Objective We explored whether an internet-based behavioural activation (BA) intervention (‘Guided Act and Feel Indonesia’ (GAF-ID)) was superior in targeting SI compared with online-delivered psychoeducation (PE).Methods In total, 313 participants were randomised between treatment allocation. The SI item of the Patient Health Questionnaire-9 was the primary outcome measure. Mediation analyses were conducted to identify if BA at week 10 mediated the relationship between intervention and SI at week 24.Findings The GAF-ID intervention was not superior in reducing SI compared with online minimal PE at week 10 (OR 0.61, 95% CI (0.37 to 1.01)), nor at week 24 (OR 0.84, 95% CI (0.47 to 1.52)). SI at week 24 was not mediated by BA at week 10 (b=−0.03, 95% CI (−0.05 to 0.00), p=0.07).Conclusions In individuals with depression in Indonesia, the GAF-ID intervention was not superior in reducing self-reported SI compared with PE. Also, the association between treatment condition and SI at week 24 was not mediated via BA at week 10.Clinical implications This study supports the need for further research on the efficacy of psychological treatments targeting SI in the Southeast Asia context