Cognitive functioning in ultra-high risk for psychosis individuals with and without depression: Secondary analysis of findings from the NEURAPRO randomized clinical trial

Assessment of memory deficits in psychiatric disorders: A systematic literature review

Memory deficits are observed across psychiatric disorders ranging from the prodrome of psychosis to common mental disorders such as anxiety, depression, and dissociative disorders. Memory deficits among patients recovering from psychiatric disorders could be directly related to the primary illness or secondary to the adverse effect of a treatment such as Electroconvulsive Therapy (ECT). The trouble in the meaningful integration of working-memory and episodic memory is the most commonly affected domain that requires routine assessments. An update on the recent trends of methods of assessment of memory deficits is the first step towards understanding and correcting these deficits to target optimum recovery. A systematic literature search was conducted from October 2018 to October 2022 to review the recent methods of assessment of memory deficits in psychiatric disorders. The definition of 'Memory deficit' was operationalized as 'selective processes of memory, commonly required for activities of daily living, and affected among psychiatric disorders resulting in subjective distress and dysfunction'. We included 110 studies, most of them being conducted in western countries on patients with schizophrenia. Other disorders included dementia and mild cognitive impairment. Brief Assessment of Cognition in Schizophrenia, Cambridge Automated Neuropsychological Test Battery, California Verbal Learning Test, Trail Making Test Part A and B, Rey Auditory Verbal Learning Test, Wechsler Memory Scale, Wechsler Adults Intelligence Scale-IV were the most common neuropsychological assessments used. Mini-Mental State Examination and Montreal Cognitive Assessment were the most common bedside assessment tools used while Squire Subjective Memory Questionnaire was commonly used to measure ECT-related memory deficits. The review highlights the recent developments in the field of assessment of memory deficits in psychiatric disorders. Findings recommend and emphasize routine assessment of memory deficits among psychiatric disorders in developing countries especially severe mental illnesses. It remains interesting to see the role of standardized assessments in diagnostic systems given more than a decade of research on memory deficits in psychiatric disorders.

The potential of digital behavioural tests as a diagnostic aid for psychosis

Timely interventions have a proven benefit for people experiencing psychotic illness. One bottleneck to accessing timely interventions is the referral process to the specialist team for early psychosis (STEP). Many general practitioners lack awareness or confidence in recognising psychotic symptoms or state. Additionally, referrals for people without apparent psychotic symptoms, although beneficial at a population level, lead to excessive workload for STEPs. There is a clear unmet need for accurate stratification of STEPs users and healthy cohorts. Here we propose a new approach to addressing this need via the application of digital behavioural tests. To demonstrate that digital behavioural tests can be used to discriminate between the STEPs users (SU; n = 32) and controls (n = 32, age and sex matched), we compared performance of five different classifiers applied to objective, quantitative and interpretable features derived from the 'mirror game' (MG) and trail making task (TMT). The MG is a movement coordination task shown to be a potential socio-motor biomarker of schizophrenia, while TMT is a neuropsychiatric test of cognitive function. All classifiers had AUC in the range of 0.84-0.92. The best of the five classifiers (linear discriminant classifier) achieved an outstanding performance, AUC = 0.92 (95%CI 0.75-1), Sensitivity = 0.75 (95%CI 0.5-1), Specificity = 1 (95%CI 0.75-1), evaluated on 25% hold-out and 1000 folds. Performance of all analysed classifiers is underpinned by the large effect sizes of the differences between the cohorts in terms of the features used for classification what ensures generalisability of the results. We also found that MG and TMT are unsuitable in isolation to successfully differentiate between SU with and without at-risk-mental-state or first episode psychosis with sufficient level of performance. Our findings show that standardised batteries of digital behavioural tests could benefit both clinical and research practice. Including digital behavioural tests into healthcare practice could allow precise phenotyping and stratification of the highly heterogenous population of people referred to STEPs resulting in quicker and more personalised diagnosis. Moreover, the high specificity of digital behavioural tests could facilitate the identification of more homogeneous clinical high-risk populations, benefiting research on prognostic instruments for psychosis. In summary, our study demonstrates that cheap off-the-shelf equipment (laptop computer and a leap motion sensor) can be used to record clinically relevant behavioural data that could be utilised in digital mental health applications.

Cognitive functioning in a group of adolescents at risk for psychosis

Cognitive deficits are a core feature of schizophrenia, and impairments are present in groups at-risk for psychosis. Most at-risk studies include young adults and not younger age-groups, such as adolescents. Participants are usually help-seeking individuals, even though risk factors may also be present in non-help seeking adolescents. We aim to explore cognitive functions in a group of non-help-seeking 15-year-old adolescents at risk for psychosis compared to age- and gender matched controls, including particular focus on specific cognitive domains. Hundred participants (mean age = 15.3) were invited after completing the 14-year-old survey distributed by the Norwegian Mother-, Father- and Child Study. At-risk adolescents were selected based on high scores on 19 items assessing both psychotic experiences and anomalous self-experiences. Matched controls were selected from the same sample. Cognitive functioning was assessed using the MATRICS Consensus Cognitive Battery and IQ using Wechsler's Abbreviated Test of Intelligence. We found that the adolescents at-risk for psychosis had significantly poorer scores than controls on the composite score of the MCCB. IQ scores were also significantly lower in the at-risk group. The results highlight general cognitive deficits as central in a group of non-help-seeking adolescents at-risk for psychosis. Results indicate that the development of cognitive impairments starts early in life in at-risk groups. It is still unclear whether specific cognitive domains, such as verbal learning, are related to psychotic symptoms or may be specifically vulnerable to symptoms of depression and anxiety.

Negative Symptom Domains in Children and Adolescents at Ultra-High Risk for Psychosis: Association With Real-Life Functioning

Background

Negative symptoms (NS) appear early in subjects at ultra-high risk (UHR) for psychosis and may increase the risk of conversion to psychotic disorders and poor outcome. Contrary to schizophrenia, there is no consensus on the conceptualization and factor structure of NS in UHR subjects. This study aims to explore NS prevalence, factor structure, and impact on the outcome of UHR state in children and adolescents.

Methods

71 UHR were recruited at the Neuropsychiatry Unit of the Hospital Bambino Gesù in Rome. We examined the prevalence of NS of at least moderate severity, the factor structure of NS by Principal Component Analysis (PCA) and Confirmatory Factor Analysis (CFA), and correlations between extracted factors and functioning. We also evaluated the severity of baseline NS in subjects who converted to psychosis (converters) and in those who did not convert (nonconverters) at 1-year follow-up.

Results

At baseline, all participants showed at least one NS of at least moderate severity. PCA and CFA yielded a two-factor solution: an ''Expressive" and an "Experiential" factor. Only the Experiential factor was associated with functioning. At baseline, severity of NS did not differ between converters (N = 16) and nonconverters (N = 55).

Conclusions

In UHR children and adolescents NS have a high prevalence, a significant impact on functioning, and cluster in two-factors. Replications by independent studies, with state-of-the-art instruments and longer duration of follow-up, are needed to improve the characterization of NS in this population, clarify their impact on the outcome and enhance their early identification, prevention, and treatment.

Depression Predicts Global Functional Outcomes in Individuals at Clinical High Risk for Psychosis

Objectives

While co-morbid depression is associated with poor functional outcome among patients with schizophrenia, whether depression similarly predicts poorer outcomes in individuals at clinical high-risk for psychosis (CHR-P) is not clear. The present study aimed to examine depressive symptoms in relation to long-term global functional outcomes in the North American Prodrome Longitudinal Study cohort (NAPLS2).

Methods

CHR individuals were evaluated clinically at baseline and at 12- and 24-month follow-ups for depressive and prodromal symptom severity as well as general functioning. Regression models were built to investigate whether baseline positive and depressive symptom scores predicted longitudinal improvement in global functioning.

Results

A total of 406 CHR individuals completed the 12-month follow-up assessment and 259 CHR individuals completed the 24-month assessment. Baseline depressive symptoms in the CHR-P population were found to predict better global functional outcomes at 2 years. Furthermore, the degree of recovery of depressive symptoms in the first year following baseline completely mediated the association between depressive symptoms at baseline and functional improvement at 2 years.

Conclusions

Presence of affective symptoms within the CHR-P population has different implications for prognosis compared with patients with schizophrenia. The present findings support the view that among those at risk for psychosis, depressive symptoms at baseline predict a more favorable course of functional recovery, and highlight the potential importance of treating co-occurring depressive symptoms at an early stage of psychosis risk.

Relationship of negative symptom severity with cognitive symptoms and functioning in subjects at ultra-high risk for psychosis

AIM

Negative symptoms and cognition are related with functioning in schizophrenia. However, it is not clear whether they have a similar effect in individuals at ultra-high risk (UHR) for psychosis. In this study, we aimed to explore relationship of negative symptoms with cognition and functioning cross-sectionally in people with UHR for psychosis.

METHODS

In total, 107 people participated in this study. We assessed negative symptoms with Scale for Negative Symptoms (SANS). We applied a cognitive battery including seven tests. We evaluated functioning by using Global Assessment of Functioning Scale and work/study status as an indicator of role functioning.

RESULTS

SANS scores were correlated to global functioning cross-sectionally. SANS total score was correlated to cognitive test scores related to cognitive flexibility and attention. Only Trail Making Test B (TMT B) was negatively correlated to global functioning. SANS-affective blunting and SANS-avolition scores were independently related to global functioning. There was a significant indirect effect of the TMT B and composite attention scores on global functioning through negative symptoms indicating a complete mediation.

CONCLUSION

Our findings suggest that negative symptoms, particularly avolition have an impact on functioning and the association of cognition with functioning was mediated by negative symptoms in UHR.

Could Polygenic Risk Scores Be Useful in Psychiatry?: A Review

IMPORTANCE

Polygenic risk scores (PRS) are predictors of the genetic susceptibility to diseases, calculated for individuals as weighted counts of thousands of risk variants in which the risk variants and their weights have been identified in genome-wide association studies. Polygenic risk scores show promise in aiding clinical decision-making in many areas of medical practice. This review evaluates the potential use of PRS in psychiatry.

OBSERVATIONS

On their own, PRS will never be able to establish or definitively predict a diagnosis of common complex conditions (eg, mental health disorders), because genetic factors only contribute part of the risk and PRS will only ever capture part of the genetic contribution. Combining PRS with other risk factors has potential to improve outcome prediction and aid clinical decision-making (eg, determining follow-up options for individuals seeking help who are at clinical risk of future illness). Prognostication of adverse physical health outcomes or response to treatment in clinical populations are of great interest for psychiatric practice, but data from larger samples are needed to develop and evaluate PRS.

CONCLUSIONS AND RELEVANCE

Polygenic risk scores will contribute to risk assessment in clinical psychiatry as it evolves to combine information from molecular, clinical, and lifestyle metrics. The genome-wide genotype data needed to calculate PRS are inexpensive to generate and could become available to psychiatrists as a by-product of practices in other medical specialties. The utility of PRS in clinical psychiatry, as well as ethical issues associated with their use, should be evaluated in the context of realistic expectations of what PRS can and cannot deliver. Clinical psychiatry has lagged behind other fields of health care in its use of new technologies and routine clinical data for research. Now is the time to catch up.