Aversive drug cues reduce cigarette craving and increase prefrontal cortex activation during processing of cigarette cues in quitting motivated smokers.

Aversive drug cues can be used to support smoking cessation and create awareness of negative health consequences of smoking. Better understanding of the effects of aversive drug cues on craving and the processing of appetitive drug cues in abstinence motivated smokers is important to further improve their use in cessation therapy and smoking-related public health measures. In this study, 38 quitting motivated smokers underwent functional magnetic resonance imaging (fMRI) scanning while performing a novel extended cue-reactivity paradigm. Pictures of cigarettes served as appetitive drug cues, which were preceded by either aversive drug cues (e.g., smokers' leg) or other cues (neutral or alternative reward cues). Participants were instructed to rate their craving for cigarettes after presentation of drug cues. When aversive drug cues preceded the presentation of appetitive drug cues, behavioural craving was reduced and activations in prefrontal (dorsolateral prefrontal cortex) and paralimbic (dorsal anterior cingulate cortex [dACC] and anterior insulae) areas were enhanced. A positive association between behavioural craving reduction and neurofunctional activation changes was shown for the right dACC. Our results suggest that aversive drug cues have an impact on the processing of appetitive drug cues, both on a neurofunctional and a behavioural level. A proposed model states that aversive drug-related cues activate control-associated brain areas (e.g., dACC), leading to increased inhibitory control on reward-associated brain areas (e.g., putamen) and a reduction in subjective cravings.

Mothers need more information to recognise associated emotions in child facial expressions.

Parenting requires mothers to read social cues and understand their children. It is particularly important that they recognise their child's emotions to react appropriately, for example, with compassion to sadness or compersion to happiness. Despite this importance, it is unclear how motherhood affects women's ability to recognise emotions associated with facial expressions in children. Using videos of an emotionally neutral face continually and gradually taking on a facial expression associated with an emotion, we quantified the amount of information needed to match the emotion with the facial expression. Mothers needed more information than non-mothers to match the emotions with the facial expressions. Both mothers and non-mothers performed equally on a control task identifying animals instead of emotions, and both groups needed less information when recognising the emotions associated with facial expressions in adolescents than pre-schoolers. These results indicate that mothers need more information for to correctly recognise typically associated emotions in child facial expressions but not for similar tasks not involving emotions. A possible explanation is that child facial expressions associated with emotions may have a greater emotional impact on mothers than non-mothers leading to task interference but possibly also to increased compassion and compersion.

Identifying CBT non-response among OCD outpatients: A machine-learning approach.

Objectives: Machine learning models predicting treatment outcomes for individual patients may yield high clinical utility. However, few studies tested the utility of easy to acquire and low-cost sociodemographic and clinical data. In previous work, we reported significant predictions still insufficient for immediate clinical use in a sample with broad diagnostic spectrum. We here examined whether predictions will improve in a diagnostically more homogeneous yet large and naturalistic obsessive-compulsive disorder (OCD) sample. Methods: We used sociodemographic and clinical data routinely acquired during CBT treatment of n = 533 OCD subjects in a specialized outpatient clinic. Results: Remission was predicted with 65% (p = 0.001) balanced accuracy on unseen data for the best model. Higher OCD symptom severity predicted non-remission, while higher age of onset of first OCD symptoms and higher socioeconomic status predicted remission. For dimensional change, prediction achieved r = 0.31 (p = 0.001) between predicted and actual values. Conclusions: The comparison with our previous work suggests that predictions within a diagnostically homogeneous sample, here OCD, are not per se superior to a more diverse sample including several diagnostic groups. Using refined psychological predictors associated with disorder etiology and maintenance or adding further data modalities as neuroimaging or ecological momentary assessments are promising in order to further increase prediction accuracy.

Evidence for a hijacked brain reward system but no desensitized threat system in quitting-motivated smokers: An fMRI study.

BACKGROUND AND AIMS: Several aspects of how quitting-motivated tobacco use disorder (TUD) subjects and never-smokers differ in terms of reward and threat processing remain unresolved. We aimed to examine aberrant reward and threat processes in TUD and the association with smoking characteristics. DESIGN: A between- and within-subjects functional magnetic resonance imaging (fMRI) experiment with a 2 (groups) × 4 (stimulus type) factorial design. The experimental paradigm had four conditions: pictures of (1) cigarettes served as drug-related-positive cues, (2) food as alternative reward cues, (3) long-term consequences of smoking as drug-related-negative cues and (4) neutral pictures as control. SETTING/PARTICIPANTS: Adult participants (n = 38 TUD subjects and n = 42 never-smokers) were recruited in Berlin, Germany. MEASUREMENTS: As contrasts of primary interest, the interactions of group × stimulus-type were assessed. Significance threshold correction for multiple testing was carried out with the family-wise error method. Correlation analyses were used to test the association with smoking characteristics. FINDINGS: The 2 × 2 interaction of smoking status and stimulus type revealed activations in the brain reward system to drug-related-positive cues in TUD subjects (between-subjects effect: P-values ≤ 0.036). As a response to drug-related-negative cues, TUD subjects showed no reduced activation of the aversive brain network. Within the TUD group, a significant negative association was found between response of the aversive brain system to drug-related-negative cues (within-subjects effect: P-values ≤ 0.021) and the number of cigarettes smoked per day (right insula r = -0.386, P = 0.024; left insula r = -0.351, P = 0.042; right ACC r = -0.359, P = 0.037). CONCLUSIONS: Moderate smokers with tobacco use disorder appear to have altered brain reward processing of drug-related-positive (but not negative) cues compared with never smokers.

Neurofunctional alterations of cognitive down-regulation of craving in quitting motivated smokers.

OBJECTIVE: Cognitive down-regulation of craving involves a neural network within the prefrontal cortex. Tobacco use disorder (TUD) and trait impulsivity have been associated with prefrontal cortex impairments and down-regulation deficits. However, general deficits in down-regulation of craving (regarding non-drug-related cues) compared to never-smokers (NS), differential alterations between drug-related and non-drug-related cues, as well as its links to subject characteristics (smoking severity, trait impulsivity) have so far sparsely been investigated in TUD. METHOD: In this study, 78 subjects (37 TUD & 42 NS) underwent functional magnetic resonance imaging while performing a down-regulation of craving task. Two reward cue-types were presented (drug cues and alternative rewards). Subjects applied down-regulation of craving during a LATER condition and up-regulated their craving during a NOW condition. Subjective craving ratings were assessed after each trial. To evaluate down-regulation of craving, we investigated the LATER versus NOW condition. RESULTS: TUD subjects showed no differences in down-regulation on a behavioral level, neither compared to NS nor between the two reward cue-types. On a neurofunctional level, we found a stronger BOLD response in the middle temporal gyrus in TUD subjects compared to NS in the alternative reward condition. No differences between the two reward cue-types were found within TUD subjects. During down-regulation across both reward cue-types, we identified significant negative associations between activation of control areas and smoking severity. CONCLUSIONS: Results neither indicate evidence for the expected general alterations in down-regulation of craving in TUD, compared to NS, nor specific alterations between drug-related and alternative reward cues on a neurofunctional level. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Psychological Predictors of Cognitive-Behavioral Therapy Outcomes for Anxiety and Depressive Disorders in Children and Adolescents: A Systematic Review and Meta-Analysis.

BACKGROUND: By understanding specific differences between responders to a treatment and non-responders, treatment modalities may be fitted to the individual in order to increase effectiveness, a concept known as "precision medicine". This systematic review and meta-analysis investigated which pretreatment patient and family characteristics may predict the outcome of cognitive-behavioral therapy (CBT) in clinically anxious and/or depressed youth. In particular, higher symptom severity, more severe co-occurring anxiety or depression and more severe parental psychopathology were hypothesized to predict a worse CBT outcome. METHODS: The databases PubMed, PsycINFO and Cochrane Library were searched; 73 publications were included in the review from which 23 studies were used for the meta-analysis. RESULTS: Higher symptom severity represented a clinically relevant predictor of a worse CBT outcome, with large effects estimated by meta-analysis. Further, parental psychopathology was significant and detrimental for CBT outcome in anxious but not depressed youth, while the effects for co-occurring anxiety and depression remained unclear. The additional results of the review show that only few characteristics seemed to be clearly associated with a worse CBT outcome, namely worse coping skills and, restricted to depressed patients, more non-suicidal self-injury. LIMITATIONS: The available evidence was of only moderate quality in general, further high-quality research with more transparent reporting is needed. CONCLUSIONS: The patient characteristics identified as being relevant for CBT outcome may represent important candidates for use in single patient prediction models for precision medicine in the field of child and adolescent psychotherapy. The review was preregistered on PROSPERO (ID: CRD42018116881).

Increased activation in the bilateral anterior insulae in response to others in pain in mothers compared to non-mothers.

Empathy allows us to share emotions and encourages us to help others. It is especially important in the context of parenting where children's wellbeing is dependent on their parents' understanding and fulfilment of their needs. To date, little is known about differences in empathy responses of parents and non-parents. Using stimuli depicting adults and children in pain, this study focuses on the interaction of motherhood and neural responses in areas associated with empathy. Mothers showed higher activation to both adults and children in pain in the bilateral anterior insulae, key regions of empathy for pain. Additionally, mothers more strongly activated the inferior frontal, superior temporal and the medial superior frontal gyrus. Differences between adult and child stimuli were only found in occipital areas in both mothers and non-mothers. Our results suggest a stronger neural response to others in pain in mothers than non-mothers regardless of whether the person is a child or an adult. This could indicate a possible influence of motherhood on overall neural responses to others in pain rather than motherhood specifically shaping child-related responses. Alternatively, stronger responses to others in pain could increase the likelihood for women to be in a relationship and subsequently to have a child.

Maternal personality, social support, and changes in depressive, anxiety, and stress symptoms during pregnancy and after delivery: A prospective-longitudinal study.

BACKGROUND: The role of maternal personality and perceived social support for peripartum changes in psychopathological symptoms remains unresolved. METHODS: In a regional-epidemiological sample of 306 women, depressive, anxiety, and stress symptoms were assessed three times during pregnancy and three times after delivery with the 21-item version of the Depression Anxiety Stress Scale. In pregnancy, the Big Five personality traits and perceived social support were assessed with the short version of the Big Five Inventory and the Social Support Questionnaire. RESULTS: Multilevel analyses revealed that depressive (b = -0.055) and stress (b = -0.047) symptoms decreased from early to late pregnancy. After delivery, anxiety symptoms were lower (two months postpartum: b = -0.193; four/ 16 months postpartum: b = -0.274), but stress symptoms were higher (two months postpartum: b = 0.468; four/ 16 months postpartum: b = 0.320) than during pregnancy. Across the peripartum period, more conscientious and more extraverted women experienced lower depressive and stress symptoms (b = -0.147 to -0.177), and more emotionally stable women experienced lower depressive, anxiety, and stress symptoms (b = -0.294 to -0.415). More emotionally stable women more strongly increased in anxiety during pregnancy (b = 0.019), and more extraverted women less strongly increased in depression after delivery (b = -0.010). Moreover, peripartum depressive, anxiety, and stress symptoms were lower in women with higher perceived social support (b = -0.225 to -0.308). CONCLUSIONS: Less emotionally stable, less conscientious, and less extraverted women and women with lower perceived social support seem to be at increased risk for peripartum psychopathological symptoms and might thus particularly profit from targeted prevention.

Predicting cognitive behavioral therapy outcome in the outpatient sector based on clinical routine data: A machine learning approach.

The availability of large-scale datasets and sophisticated machine learning tools enables developing models that predict treatment outcomes for individual patients. However, few studies used routinely available sociodemographic and clinical data for this task, and many previous investigations used highly selected samples. This study aimed to investigate cognitive behavioral therapy (CBT) outcomes in a large, naturalistic and longitudinal dataset. Routine data from a university-based outpatient center with n = 2.147 patients was analyzed. Only baseline data including sociodemographics, symptom measures and functional impairment ratings was used for prediction. Different competing classification and regression models were compared to each other; the best models were then applied to previously unseen validation data. Applied on the validation set, the best performing classification model for remission achieved a balanced accuracy of 59% (p < 0.001) and the best performing regression model for dimensional change achieved r = 0.27 (p < 0.001). Age, sex, functional impairment, symptom severity, and axis II comorbidity were among the most important features. Predictor performances significantly exceeded chance level but were far from clinical utility. Neither applying more sophisticated approaches nor restricting the sample to homogeneous subgroups resulted in considerable performance gains. Adding hypotheses-based, more specific clinical constructs and deep (e.g. neurobiological) to digital phenotypes may increase prediction performance.

The modulating impact of cigarette smoking on brain structure in panic disorder: a voxel-based morphometry study.

Cigarette smoking increases the likelihood of developing anxiety disorders, among them panic disorder (PD). While brain structures altered by smoking partly overlap with morphological changes identified in PD, the modulating impact of smoking as a potential confounder on structural alterations in PD has not yet been addressed. In total, 143 PD patients (71 smokers) and 178 healthy controls (62 smokers) participated in a multicenter magnetic resonance imaging (MRI) study. T1-weighted images were used to examine brain structural alterations using voxel-based morphometry in a priori defined regions of the defensive system network. PD was associated with gray matter volume reductions in the amygdala and hippocampus. This difference was driven by non-smokers and absent in smoking subjects. Bilateral amygdala volumes were reduced with increasing health burden (neither PD nor smoking > either PD or smoking > both PD and smoking). As smoking can narrow or diminish commonly observed structural abnormalities in PD, the effect of smoking should be considered in MRI studies focusing on patients with pathological forms of fear and anxiety. Future studies are needed to determine if smoking may increase the risk for subsequent psychopathology via brain functional or structural alterations.

The impact of depressive comorbidity on neural plasticity following cognitive-behavioral therapy in panic disorder with agoraphobia.

BACKGROUND: Depressive disorders are a frequent comorbidity of panic disorder with agoraphobia (PD/AG). Cognitive-behavioral therapy (CBT) for PD/AG effectively reduces anxiety and depressive symptoms, irrespective of comorbidities. However, as depressive comorbidities can confound fear circuitry activation (i.e. amygdalae, insulae, anterior cingulate cortex) in PD/AG, we investigated whether comorbid depressive disorders alter neural plasticity following CBT. METHODS: Within a randomized, controlled clinical trial on exposure-based CBT, forty-two PD/AG patients including fifteen (35.7%) with a comorbid depressive disorder (PD/AG + DEP) participated in a longitudinal functional magnetic resonance imaging (fMRI) study. A differential fear conditioning task was used as probe of interest. A generalized psycho-physiological interaction analysis (gPPI) served to study functional connectivity patterns. RESULTS: After CBT, only PD/AG patients without comorbid depressive disorders (PD/AG-DEP) showed reduced activation in the left inferior frontal gyrus (IFG) extending to the insula. While PD/AG-DEP patients showed enhanced functional connectivity (FC) between the left IFG and subcortical structures (anterior cingulate cortex, thalamus and midbrain), PD/AG + DEP patients exhibited increased FC between the left IFG and cortical structures (prefrontal, parietal regions). In both groups, FC decreased following CBT. LIMITATIONS: Primary depressed and medicated patients were excluded. Major depression and dysthymia were collapsed. CONCLUSIONS: Reduced activation in the left IFG, as previously shown in PD/AG, appears to be a specific substrate of CBT effects in PD/AG-DEP patients only. Differential patterns of FC pertaining to fear circuitry networks in patients without depression vs. cognitive networks in patients with comorbid depression may point towards different pathways recruited by CBT as a function of comorbidity.