Machine Learning Facial Emotion Classifiers in Psychotherapy Research: A Proof-of-Concept Study.

BACKGROUND: New advances in the field of machine learning make it possible to track facial emotional expression with high resolution, including micro-expressions. These advances have promising applications for psychotherapy research, since manual coding (e.g., the Facial Action Coding System), is time-consuming. PURPOSE: We tested whether this technology can reliably identify in-session emotional expression in a naturalistic treatment setting, and how these measures relate to the outcome of psychotherapy. METHOD: We applied a machine learning emotion classifier to video material from 389 psychotherapy sessions of 23 patients with borderline personality pathology. We validated the findings with human ratings according to the Clients Emotional Arousal Scale (CEAS) and explored associations with treatment outcomes. RESULTS: Overall, machine learning ratings showed significant agreement with human ratings. Machine learning emotion classifiers, particularly the display of positive emotions (smiling and happiness), showed medium effect size on median-split treatment outcome (d = 0.3) as well as continuous improvement (r = 0.49, p < 0.05). Patients who dropped out form psychotherapy, showed significantly more neutral expressions, and generally less social smiling, particularly at the beginning of psychotherapeutic sessions. CONCLUSIONS: Machine learning classifiers are a highly promising resource for research in psychotherapy. The results highlight differential associations of displayed positive and negative feelings with treatment outcomes. Machine learning emotion recognition may be used for the early identification of drop-out risks and clinically relevant interactions in psychotherapy.

Mental Health Information Reporting Assistant (MHIRA)-an open-source software facilitating evidence-based assessment for clinical services.

Evidence-based assessment (EBA) in mental health is a critical aspect of improving patient outcomes and addressing the gaps in mental health care. EBA involves the use of psychometric instruments to gather data that can inform clinical decision-making, inform policymakers, and serve as a basis for research and quality management. Despite its potential, EBA is often hindered by barriers such as workload and cost, leading to its underutilization. Regarding low- and middle-income countries (LMIC), the implementation of EBA is recognized as a key strategy to address and close the prevalent mental health treatment gap.To simplify the application of EBA including in LMIC, an international team of researchers and practitioners from Tanzania, Kosovo, Chile, and Switzerland developed the Mental Health Information Reporting Assistant (MHIRA). MHIRA is an open-source electronic health record that streamlines EBA by digitising psychometric instruments and organising patient data in a user-friendly manner. It provides immediate and convenient reports to inform clinical decision-making.The current article provides a comprehensive overview of the features and technical details of MHIRA, as well as insights from four implementation scenarios. The experience gained during the implementations as well as the user-feedback suggests that MHIRA has the potential to be successfully implemented in a variety of clinical contexts and simplify the use of EBA. However, further research is necessary to establish its potential to sustainably transform healthcare services and impact patient outcomes.In conclusion, MHIRA represents an important step in promoting the widespread adoption of EBA in mental health. It offers a promising solution to the barriers that have limited the use of EBA in the past and holds the potential to improve patient outcomes and support the ongoing efforts to address gaps in mental health care.

Study Features and Response Compliance in Ecological Momentary Assessment Research in Borderline Personality Disorder: Systematic Review and Meta-analysis.

BACKGROUND: Borderline personality disorder (BPD) is characterized by frequent and intense moment-to-moment changes in affect, behavior, identity, and interpersonal relationships, which typically result in significant and negative deterioration of the person's overall functioning and well-being. Measuring and characterizing the rapidly changing patterns of instability in BPD dysfunction as they occur in a person's daily life can be challenging. Ecological momentary assessment (EMA) is a method that can capture highly dynamic processes in psychopathology research and, thus, is well suited to study intense variability patterns across areas of dysfunction in BPD. EMA studies are characterized by frequent repeated assessments that are delivered to participants in real-life, real-time settings using handheld devices capable of registering responses to short self-report questions in daily life. Compliance in EMA research is defined as the proportion of prompts answered by the participant, considering all planned prompts sent. Low compliance with prompt schedules can compromise the relative advantages of using this method. Despite the growing EMA literature on BPD in recent years, findings regarding study design features that affect compliance with EMA protocols have not been compiled, aggregated, and estimated. OBJECTIVE: This systematic meta-analytic review aimed to investigate the relationship between study design features and participant compliance in EMA research of BPD. METHODS: A systematic review was conducted on November 12, 2021, following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and MOOSE (Meta-analyses of Observational Studies in Epidemiology) guidelines to search for articles featuring EMA studies of BPD that reported compliance rates and included sufficient data to extract relevant design features. For studies with complete data, random-effect models were used to estimate the overall compliance rate and explore its association with design features. RESULTS: In total, 28 peer-reviewed EMA studies comprising 2052 participants were included in the study. Design features (sampling strategy, average prompting frequency, number of items, response window, sampling device, financial incentive, and dropout rate) showed a large variability across studies, and many studies did not report design features. The meta-analytic synthesis was restricted to 64% (18/28) of articles and revealed a pooled compliance rate of 79% across studies. We did not find any significant relationship between design features and compliance rates. CONCLUSIONS: Our results show wide variability in the design and reporting of EMA studies assessing BPD. Compliance rates appear to be stable across varying setups, and it is likely that standard design features are not directly responsible for improving or diminishing compliance. We discuss possible nonspecific factors of study design that may have an impact on compliance. Given the promise of EMA research in BPD, we also discuss the importance of unifying standards for EMA reporting so that data stemming from this rich literature can be aggregated and interpreted jointly.

Withdrawal ruptures in adolescents with borderline personality disorder psychotherapy are marked by increased speech pauses-can minimal responses be automatically detected?

Alliance ruptures of the withdrawal type are prevalent in adolescents with borderline personality disorder (BPD). Longer speech pauses are negatively perceived by these patients. Safran and Muran's rupture model is promising but its application is very work intensive. This workload makes research costly and limits clinical usage. We hypothesised that pauses can be used to automatically detect one of the markers of the rupture model i.e. the minimal response marker. Additionally, the association of withdrawal ruptures with pauses was investigated. A total of 516 ruptures occurring in 242 psychotherapy sessions collected in 22 psychotherapies of adolescent patients with BPD and subthreshold BPD were investigated. Trained observers detected ruptures based on video and audio recordings. In contrast, pauses were automatically marked in the audio-recordings of the psychotherapy sessions and automatic speaker diarisation was used to determine the speaker-switching patterns in which the pauses occur. A random forest classifier detected time frames in which ruptures with the minimal response marker occurred based on the quantity of pauses. Performance was very good with an area under the ROC curve of 0.89. Pauses which were both preceded and followed by therapist speech were the most important predictors for minimal response ruptures. Research costs can be reduced by using machine learning techniques instead of manual rating for rupture detection. In combination with other video and audio derived features like movement analysis or automatic facial emotion detection, more complete rupture detection might be possible in the future. These innovative machine learning techniques help to narrow down the mechanisms of change of psychotherapy, here specifically of the therapeutic alliance. They might also be used to technologically augment psychotherapy training and supervision.

Effectiveness of adolescent identity treatment (AIT) versus DBT-a for the treatment of adolescent borderline personality disorder.

Borderline personality disorder (BPD) is among the most severe mental health problems with long-lasting deterioration of functioning. According to a Cochrane review, evidence for methods focused on treatment for adolescent BPD patients is very limited. Aims of the study were to demonstrate the noninferiority of adolescent identity treatment (AIT) compared with dialectical behavior therapy for adolescents (DBT-A), and that intensive early treatment of BPD leads to significant improvement of psychosocial and personality functioning in adolescent patients. In a nonrandomized controlled trial using a noninferiority approach, we compared 37 patients treated with DBT-A with 23 patients treated with AIT. Both treatments included 25 weekly individual psychotherapy sessions and five to eight family sessions. Patients were assessed at four timepoints: baseline, posttreatment, 1- and 2-year follow-up. Primary outcome was psychosocial functioning at 1-year follow-up. We performed both intention-to-treat analyses and per-protocol analyses (completers). Baseline characteristics of both groups were not significantly different except for age and self-injurious behavior. In all, six AIT patients (26%) and 10 DBT-A patients (27%) dropped out of treatment. Both DBT-A and AIT significantly improved adolescents' psychosocial functioning (AIT: d = 1.82; DBT-A: d = 1.73) and personality functioning. BPD criteria and depression were significantly reduced by both treatments. Overall, AIT was found to be not inferior to DBT-A and even more efficient in reducing BPD criteria. Both treatments are highly effective in improving psychosocial functioning and personality functioning in adolescent BPD patients. AIT is a promising approach and not inferior to DBT-A in respect to treatment efficiency. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The impact of outcome expectancy on therapy outcome in adolescents with borderline personality disorder.

BACKGROUND: Outcome expectancy has been found to be a significant predictor of psychotherapy outcome. However, given that severity, chronicity and comorbidity are moderators of outcome expectancy, it is important to provide evidence of whether the same holds true in clinical conditions marked by these attributes, such as in borderline personality disorder (BPD). The aim of the present study was to investigate the role of patients' outcome expectancy in adolescents undergoing early intervention for BPD using pre-post difference of psychosocial functioning as outcome. METHODS: Forty-four adolescent BPD patients were treated with Dialectical Behavior Therapy for Adolescents (DBT-A) or Adolescent Identity Treatment (AIT). We investigated the effect of outcome expectancy on outcome with type of treatment as moderator. Based on the relevant literature, we assess the correlation between outcome expectancy and pretreatment symptomatology, namely BPD severity, personality functioning, childhood trauma and depression. RESULTS: The results showed a significant effect of expectancy on outcome (stand. ß = 0.30, p = 0.020) above autoregression. ANOVA analysis revealed no difference between the two treatments. Further, results indicate that pretreatment symptomatology, i.e., depression, childhood trauma and personality functioning dimensions self-direction and intimacy, are associated with early treatment expectancy. CONCLUSION: Outcome expectancy as a common factor plays a key role in successful psychotherapy with adolescent BPD patients. Elevated pretreatment depression, childhood trauma and impairment in personality functioning dimensions self-direction and intimacy are risk factors associated with lower expectancy. Low outcome expectancy should be addressed in early psychotherapy to improve the therapeutical process.

A DSM-5 AMPD and ICD-11 compatible measure for an early identification of personality disorders in adolescence-LoPF-Q 12-18 latent structure and short form.

The LoPF-Q 12-18 (Levels of Personality Functioning Questionnaire) was designed for clinical use and to promote early detection of personality disorder (PD). It is a self-report measure with 97 items to assess personality functioning in adolescents from 12 years up. It operationalizes the dimensional concept of personality disorder (PD) severity used in the Alternative DSM-5 Model for Personality Disorders and the ICD-11. In this study, we investigated the factorial structure of the LoPF-Q 12-18. Additionally, a short version was developed to meet the need of efficient screening for PD in clinical and research applications. To investigate the factorial structure, several confirmatory factor analysis models were compared. A bifactor model with a strong general factor and four specific factors showed the best nominal fit (CFI = .91, RMSEA = .04, SRMR = .07). The short version was derived using the ant colony optimization algorithm. This procedure resulted in a 20-item version with excellent fit for a hierarchical model with four first order factors to represent the domains and a secondary higher order factor to represent personality functioning (CFI = .98, RMSEA = .05, SRMR = .04). Clinical validity (effect size d = 3.1 between PD patients and controls) and clinical utility (cutoff ≥ 36 providing 87.5% specificity and 80.2% sensitivity) for detecting patients with PD were high for the short version. Both, the long and short LoPF-Q 12-18 version are ready to be used for research and diagnostic purposes.

Digital use of standardised assessment tools for children and adolescents: can available paper-based questionnaires be used free of charge in electronic format?

QUESTION: Most adolescents live in low- and middle-income countries (LMIC), and about 10% of them face mental problems. The mental health provision gap in low- and middle-income countries could be addressed by evidence-based practices, however costs are implementational barriers. Digitalization can improve the accessibility of these tools and constitutes a chance for LMIC to use them more easily at a low cost. We reviewed free and brief evidence-based mental health assessment tools available for digital use to assess psychopathology across different domains in youth. METHODS: For the current study, instruments from a recent review on paper-based instruments were re-used. Additionally, a systematic search was conducted to add instruments for the personality disorder domain. We searched and classified the copyright and license terms available from the internet in terms of free usage and deliverability in a digital format. In the case that this information was insufficient, we contacted the authors. RESULTS: In total, we evaluated 109 instruments. Of these instruments, 53 were free and digitally usable covering 11 mental health domains. However, retrieving information on copyright and license terms was very difficult. CONCLUSIONS: Free and digitally adaptable instruments are available, supporting the strategy of using instruments digitally to increase access. The instrument's authors support this initiative, however, the lack of copyright information and the difficulties in contacting the authors and licence holders are barriers to using this strategy in LMIC. A comprehensive, online instrument repository for clinical practice would be an appropriate next step to make the instruments more accessible and reduce implementation barriers.

Therapists' emotional state after sessions in which suicidality is addressed: need for improved management of suicidal tendencies in patients with borderline personality pathology.

INTRODUCTION: Patient suicidality is a frequently experienced topic for psychotherapists. Especially adolescents with borderline personality pathology (BPP) often exhibit suicidal tendencies. Previous research which examined therapists' countertransference towards suicidal patients suggested that therapists are negatively affected and distressed by them. We hypothesize that this emotional response of the therapists is related to specific sessions in which suicidality came up as a topic. Accordingly, the objective of this study consists in examining therapists' emotional state on a session level of analysis. METHODS: The sample consisted of N = 21 adolescents (age 13-19 years) with BPD or subthreshold BPD. Therapists' emotional states were measured in n = 418 sessions using the Session Evaluation Questionnaire. Principal component analysis was used to reduce dimensionality of the therapist response. The emotional states were compared depending on whether suicidality has been addressed in the session (SS) or not (NSS). RESULTS: Two components could be identified. Firstly, therapists were more aroused, excited, afraid, angry and uncertain after SS than after NSS. Secondly, therapists were more aroused, excited, definite and pleased after SS than after NSS. DISCUSSION: Suicidality does not always have to be a burden for therapists: Both a "distress" and an "eustress" component occur in this context from which the latter is supposed to help clinicians master a difficult situation. Since countertransference feelings are often not fully conscious, it is necessary to do research on therapists' emotional states after sessions in which suicidality is addressed. This is crucial to both prevent the therapeutic process from being endangered and preserve clinicians' mental health. Clinical implications and limitations are discussed.

Movement Synchrony in the Psychotherapy of Adolescents With Borderline Personality Pathology - A Dyadic Trait Marker for Resilience?

Movement synchrony describes the coordination of body movements. In psychotherapy, higher movement synchrony between therapist and patient has been associated with higher levels of empathy, therapeutic alliance, better therapy outcome, and fewer drop-outs. The current study investigated movement synchrony during the psychotherapeutic treatment of female adolescents with borderline personality disorder. It was hypothesized that there are higher levels of movement synchrony in the analyzed therapy sessions compared to pseudo-interactions. Further, we tested whether higher levels of movement synchrony correlate with stronger patients' symptom reduction and whether higher movement synchrony predicts higher post-session ratings. A total of 356 sessions from 16 completed psychotherapies of adolescent patients with BPD were analyzed. Movement synchrony was assessed with motion energy analysis and an index of synchrony was calculated by lagged cross-correlation analysis. As hypothesized, the findings support higher levels of movement synchrony in therapy sessions compared to pseudo-interactions (Cohen's d = 0.85). Additionally, a correlation of movement synchrony with better therapy outcome was found (standardized beta = -0.43 indicating stronger personality functioning impairment reduction). The post-session ratings were negatively associated with higher levels of movement synchrony (standardized beta = -0.1). The relevance of movement synchrony and potential implications for clinical practice are discussed.

Autonomic nervous system activity and dialectical behavioral therapy outcome in adolescent borderline personality pathology.

OBJECTIVES: We aimed to investigate whether pre-treatment cardiac autonomic nervous system (ANS) activity, indexed by heart rate (HR) and heart rate variability (HRV) predicts clinical outcome and therapy drop-outs in adolescents with borderline personality (BPD) pathology receiving dialectical behavioural therapy (DBT-A). We further tested for an association between changes in ANS function and clinical outcome over time. Traumatic experiences were considered as potential confounding factor. METHODS: N = 43 (95.4% female, Mage = 15.5 years) adolescents fulfilling at least sub-threshold criteria for BPD (≥3) were investigated before and after outpatient DBT-A as well as at follow-up. N = 10 patients dropped out of treatment (<50% of treatment sessions). Latent growth curve models were used for analyses. RESULTS: Greater pre-treatment resting HRV significantly predicted clinical improvement (decrease in BPD pathology/increase of global functioning) over time. Pre-treatment ANS activity was unrelated to treatment drop-out. Further, changes in ANS activity over treatment were associated with changes in clinical outcome. CONCLUSION: This study is the first providing evidence that pre-treatment HRV predicts and is related to treatment response in adolescent borderline personality pathology. Implications for the use of ANS measures in clinical practice and directions for future research are discussed.

Silence in the psychotherapy of adolescents with borderline personality pathology.

Silence in psychotherapy has been associated with different, sometimes opposing meanings. This study investigated silence during adolescent identity treatment in adolescent patients with borderline personality pathology. A more active therapeutic approach with less silence is advised in adolescent identity treatment. It was hypothesized that a session with more silence might be negatively perceived by adolescent patients. A total of 382 sessions that involved 21 female patients were analyzed. Silence was automatically detected from audio recordings. Diarization (segmenting an audio according to speaker identity) was performed. The patient's perception of the sessions was measured with the Session Evaluation Questionnaire. The amount of silence in the different speaker-switching patterns was not independent of one other. This finding supports the hypothesis of mutual attunement of patient and therapist concerning the amount of silence in a given session. Sessions with less silence were rated as being both smoother and better. The potential implications for clinical practice are discussed. The investigation of turn-taking and interpersonal temporal dynamics is relevant for psychotherapy research. The topic can be addressed efficiently using automated procedures. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Alliance Ruptures and Resolutions in Personality Disorders.

PURPOSE OF REVIEW: This review provides an overview of the state of research on alliance ruptures and resolutions in the treatment of personality disorders (PDs). We discuss frequently used instruments to measure alliance ruptures and resolutions. We discuss the effectiveness of rupture resolution processes and highlight possible avenues for research to explore. Innovative assessments with the potential to reveal the link of ruptures and resolutions and mechanisms of psychotherapeutic change are discussed. RECENT FINDINGS: The assessment of alliance rupture and resolutions is heterogeneous. Instruments vary largely with respect to a direct or indirect assessment, the time resolution of assessment (integral therapy, phase, session, event), session sampling strategy and perspectives (patient, therapist, observer). The heterogeneity in the instruments and study designs impedes comparability and interpretation of the findings. Results support the hypothesis that ruptures are more frequent in PD. Results also point towards beneficial effects of rupture resolution patterns, early alliance quality, and resolution complexity. Few studies control findings for pretreatment factors. Evidence points to the direction that rupture resolution processes can be considered a general principle of change in the treatment of PD. The concept of alliance ruptures and resolutions provides a useful tool for the management of the therapeutic alliance and its moments of deteriorations throughout the treatment course. Dimensional pretreatment personality functioning is considered a key variable in future studies to highlight what works for whom.

Supervised Speaker Diarization Using Random Forests: A Tool for Psychotherapy Process Research.

Speaker diarization is the practice of determining who speaks when in audio recordings. Psychotherapy research often relies on labor intensive manual diarization. Unsupervised methods are available but yield higher error rates. We present a method for supervised speaker diarization based on random forests. It can be considered a compromise between commonly used labor-intensive manual coding and fully automated procedures. The method is validated using the EMRAI synthetic speech corpus and is made publicly available. It yields low diarization error rates (M: 5.61%, STD: 2.19). Supervised speaker diarization is a promising method for psychotherapy research and similar fields.

Emotion dysregulation and resting-state autonomic function in adolescent borderline personality disorder-A multimodal assessment approach.

Borderline personality disorder (BPD) is characterized by persistent emotion dysregulation (ED), and ED is one of the core features of BPD. In recent years, research aimed to identify distinct patterns of ED characteristic of patients with BPD. These efforts comprised translational approaches, including psychophysiological measures. Autonomic nervous system (ANS) dysfunction, indexed by reduced resting-state heart rate variability (HRV), is suggested to be a psychophysiological marker of ED. Reduced HRV is seen in patients with a variety of psychiatric disorders, including adolescents with depression and BPD. No previous study, to the best of our knowledge, addressed the association between ANS function and different measures of ED in adolescents with BPD. Here, we used a multimodal assessment of ED (self-reports, interviews, ambulatory assessment) in a sample of 43 adolescent patients (95.4% female, Mage = 15.5 years), fulfilling at least 3 BPD criteria. Replicating earlier findings, greater BPD symptom severity was significantly related to reduced resting-state HRV and increased heart rate. However, other measures of ED and mean affect were unrelated to ANS function. Findings suggest that ANS dysfunction maps to symptom severity in general rather than specific symptomatology (such as ED) in adolescents with BPD. Implications for the use of ANS measures in clinical practice and directions for future research are discussed. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Trajectories of alliance ruptures in the psychotherapy of adolescents with borderline personality pathology: timing, typology and significance.

Jeremy Safran and his research group suggest that rupture-repair processes are important for the therapeutic change in patients with personality disorders. In this exploratory study, we describe alliance ruptures and resolutions on a session-by-session basis in a clinical sample of adolescents with Borderline Personality Pathology (BPP). Three research questions are addressed: i) Is there a typical trajectory of alliance ruptures over treatment time? ii) Which rupture and resolution markers occur frequently? iii) Which rupture markers are most significant for the therapeutic alliance? Ten patients who presented with identity diffusion and at least three Borderline Personality Disorder criteria were studied and treated with Adolescent Identity Treatment. Alliance ruptures and resolutions were coded in 187 therapy sessions according to the Rupture Resolution Rating System. Mixed-effect models were used for statistical analyses. Findings supported an inverted U-shaped trajectory of alliance ruptures across treatment time. The inspection of individual trajectories displayed that alliance ruptures emerge non-linearly with particular significant alliance ruptures appearing in phases or single peak sessions. Withdrawal rupture markers emerged more often compared to confrontation markers. However, confrontation markers inflicted a higher impact or strain on the immediate collaboration between patient and therapist compared to withdrawal markers. Clinicians should expect alliance ruptures to occur frequently in the treatment of adolescents with BPP. The findings support the theory of a dynamic therapeutic alliance characterised by a continuous negotiation between patients and therapists.

A design for process-outcome psychotherapy research in adolescents with Borderline Personality Pathology.

Underage patients with Borderline Personality Pathology (BPP) are in need of specialised psychotherapeutic treatment. A handful of these treatments, including Adolescent Identity Treatment (AIT) and Dialectical Behavior Therapy for Adolescents (DBT-A), have been adapted for adolescent patients. Psychotherapy research has shown that the outcome of different psychotherapeutic approaches can be very similar despite conceptual and practical differences between the theoretical models. Therefore, to understand what really works in psychotherapy, it is necessary to investigate the psychotherapeutic process and its effects on the patient. This paper presents a study design for process-outcome research, integrating (1) a classical outcome design, comparing AIT and DBT-A in a non-inferiority trial assessing changes in psychosocial functioning at 12 months after baseline as primary outcome; and (2) a process research design, addressing multiple BPP and psychotherapy relevant factors. These factors include well-studied generic variables such as the psychotherapeutic alliance, more recent approaches such as video-based identification of significant therapeutic events, as well as more experimental approaches such as psychophysiological markers measured during the therapeutic sessions. The use of repeated measures and the methodological pluralism which includes event and micro-process analyses has been recommended for psychotherapy research aiming at a better understanding of the interplay of factors at work to narrow the gap between research and practice in this field.

The neuropsychology of emerging psychosis and the role of working memory in episodic memory encoding.

BACKGROUND: Episodic memory encoding and working memory (WM) deficits are among the first cognitive signs and symptoms in the course of schizophrenia spectrum disorders. However, it is not clear whether the deficit pattern is generalized or specific in nature. We hypothesized that encoding deficits at an early stage of the disease might be due to the more fundamental WM deficits. METHODS: We examined episodic memory encoding and WM by administering the California Verbal Learning Test, a 2-back task, and the Wisconsin Card Sorting Test in 90 first-episode psychosis (FE) patients and 116 individuals with an at-risk mental state for psychosis (ARMS) compared to 57 healthy subjects. RESULTS: Learning progress, but not span of apprehension, was diminished to a similar extent in both the ARMS and the FE. We showed that this was due to WM impairment by applying a structural equation approach. CONCLUSION: Thus, we conclude that verbal memory encoding deficits are secondary to primary WM impairment in emerging psychosis.

Evaluating verbal learning and memory in patients with an at-risk mental state or first episode psychosis using structural equation modelling.

BACKGROUND: Verbal learning and memory are impaired not only in patients with a first episode of psychosis (FEP) but also-to a lower extent-in those with an at-risk mental state for psychosis (ARMS). However, little is known about the specific nature of these impairments. Hence, we aimed to study learning and memory processes in ARMS and FEP patients by making use of structural equation modelling. METHODS: Verbal learning was assessed with the California Verbal Learning Test (CVLT) in 98 FEP patients, 126 ARMS patients and 68 healthy controls (HC) as part of the Basel early detection of psychosis (FePsy) study. The four-factorial CFA model of Donders was used to estimate test performance on latent variables of the CVLT and growth curve analysis was used to model the learning curve. The latter allows disentangling initial recall, which is strongly determined by attentional processes, from the learning rate. RESULTS: The CFA model revealed that ARMS and FEP patients were impaired in Attention Span, Learning Efficiency and Delayed Memory and that FEP patients were additionally impaired in Inaccurate Memory. Additionally, ARMS-NT, but not ARMS-T, performed significantly worse than HC on Learning Efficiency. The growth curve model indicated that FEP patients were impaired in both initial recall and learning rate and that ARMS patients were only impaired in the learning rate. CONCLUSIONS: Since impairments were more pronounced in the learning rate than the initial recall, our results suggest that the lower scores in the CVLT reported in previous studies are more strongly driven by impairments in the rate of learning than by attentional processes.

Apathy in Patients with Parkinson's Disease Correlates with Alteration of Left Fronto-Polar Electroencephalographic Connectivity.

Introduction: Quantitative electroencephalography (QEEG) brain frequency and network analyses are known to differentiate between disease stages in Parkinson's disease (PD) and are possible biomarkers. They correlate with cognitive decline. Little is known about changes in brain networks in relation to apathy. Objective/Aims: To analyze changes in brain network connectivities related to apathy. Methods: 40 PD patients (14 PD with mild cognitive deficits and 26 PD with normal cognition) were included. All patients had extensive neuropsychological testing; apathy was evaluated using the apathy evaluation score (AES, median 24.5, range 18-39). Resting state EEG was recorded with 256 electrodes and analyzed using fully automated Matlab® code (TAPEEG). For estimation of the connectivities between brain regions, PLI (phase lag index) was used, enhanced by a microstates segmentation. Results: After correction for multiple comparisons, significant correlations were found for single alpha2-band connectivities with the AES (p-values < 0.05). Lower connectivities, mainly involving the left fronto-polar region, were related to higher apathy scores. Conclusions: In our sample of patients with PD, apathy correlates with a network alteration mainly involving the left fronto-polar region. This might be due to dysfunction of the cortico-basal loop, modulating motivation.