Relapse prevention through health technology program reduces hospitalization in schizophrenia.

BACKGROUND: Psychiatric hospitalization is a major driver of cost in the treatment of schizophrenia. Here, we asked whether a technology-enhanced approach to relapse prevention could reduce days spent in a hospital after discharge. METHODS: The Improving Care and Reducing Cost (ICRC) study was a quasi-experimental clinical trial in outpatients with schizophrenia conducted between 26 February 2013 and 17 April 2015 at 10 different sites in the USA in an outpatient setting. Patients were between 18 and 60 years old with a diagnosis of schizophrenia, schizoaffective disorder, or psychotic disorder not otherwise specified. Patients received usual care or a technology-enhanced relapse prevention program during a 6-month period after discharge. The health technology program included in-person, individualized relapse prevention planning with treatments delivered via smartphones and computers, as well as a web-based prescriber decision support program. The main outcome measure was days spent in a psychiatric hospital during 6 months after discharge. RESULTS: The study included 462 patients, of which 438 had complete baseline data and were thus used for propensity matching and analysis. Control participants (N = 89; 37 females) were enrolled first and received usual care for relapse prevention followed by 349 participants (128 females) who received technology-enhanced relapse prevention. During 6-month follow-up, 43% of control and 24% of intervention participants were hospitalized (χ2 = 11.76, p<0.001). Days of hospitalization were reduced by 5 days (mean days: b = -4.58, 95% CI -9.03 to -0.13, p = 0.044) in the intervention condition compared to control. CONCLUSIONS: These results suggest that technology-enhanced relapse prevention is an effective and feasible way to reduce rehospitalization days among patients with schizophrenia.

Attenuated psychotic and basic symptom characteristics in adolescents with ultra-high risk criteria for psychosis, other non-psychotic psychiatric disorders and early-onset psychosis.

While attenuated psychotic symptoms (APS) and basic symptoms (BS) are the main current predictors of psychosis in adults, studies in adolescents are scarce. Thus, we (1) described the prevalence and severity of positive, negative, disorganization, general, and basic symptoms in adolescent patients at ultra-high risk for psychosis (UHR), with other non-psychotic psychiatric disorders (PC) and with early-onset psychosis (EOP); and (2) investigated BS criteria in relation to UHR criteria. Sixty-nine 12-18-year-old adolescents (15.3 ± 1.7 years, female = 58.0 %, UHR = 22, PC = 27, EOP = 20) were assessed with the structured interview for prodromal syndromes (SIPS) and the schizophrenia proneness instrument-child and youth version (SPI-CY). Despite similar current and past 12-month global functioning, both UHR and EOP had significantly higher SIPS total and subscale scores compared to PC, with moderate-large effect sizes. Expectedly, UHR had significantly lower SIPS positive symptom scores than EOP, but similar SIPS negative, disorganized, and general symptom scores. Compared to PC, both EOP and UHR had more severe basic thought and perception disturbances, and significantly more often met cognitive disturbances criteria (EOP = 50.0 %, UHR = 40.9 %, PC = 14.8 %). Compared to UHR, both EOP and PC significantly less often met cognitive-perceptive BS criteria (EOP = 35.0 %, UHR = 68.2 %, PC = 25.9 %). BS were significantly more prevalent in both EOP and UHR than PC, and UHR were similar to EOP in symptom domains. Given the uncertain outcome of adolescents at clinical high-risk of psychosis, future research is needed to determine whether the combined assessment of early subjective disturbances with observable APS can improve the accuracy of psychosis prediction.

The Bipolar Prodrome Symptom Interview and Scale-Prospective (BPSS-P): description and validation in a psychiatric sample and healthy controls.

OBJECTIVE: The aim of the present study was to investigate the psychometric properties of the Bipolar Prodrome Symptom Interview and Scale-Prospective (BPSS-P), the first specific interview for emerging bipolar disorder (BD) symptoms. METHODS: A total of 205 youth aged 12-23 years and/or their caregivers underwent BPSS-P interviews: 129 patients with mood spectrum disorders [depression spectrum disorder (n = 77), mood disorder not otherwise specified (NOS) (n = 27), BD-NOS (n = 14), bipolar I disorder (BD-I)/bipolar II disorder (BD-II)/cyclothymia (n = 11), 34 with non-mood spectrum disorders, and 42 healthy controls (HCs)]. We used Cronbach's α to assess internal consistency; intra-class correlation (ICC) for inter-rater reliability; Spearman's rho for convergent validity with the Young Mania Rating Scale (YMRS), General Behavior Inventory-10-item Mania Form (GBI-M-10), and Cyclothymic-Hypersensitive Temperament (CHT) scale; and analysis of variance for discriminatory power between diagnostic groups. RESULTS: Internal consistency was good to very good for the BPSS-P Mania (Cronbach's α = 0.87), Depression (Cronbach's α = 0.89), and General Symptom indices (Cronbach's α = 0.74). Inter-rater reliability was high for the BPSS-P Total score (ICC = 0.939), and BPSS-P Mania (ICC = 0.934), Depression (ICC = 0.985), and General (ICC = 0.981) indices. Convergent validity was large (ρ ≥ 0.50) between the BPSS-P Mania Index and YMRS, GBI-M-10, and CHT; BPSS-P Depression Index and Montgomery-Åsberg Depression Rating Scale (MADRS) and CHT; and BPSS-P General Index and GBI-M-10 and CHT. Expectedly, convergent validity was small (ρ = 0.10 to < 0.30) between the BPSS-P Mania Index and MADRS, and BPSS-P Depression Index and YMRS. Furthermore, the BPSS-P and its subscales discriminated each patient group from HCs and from non-mood spectrum patients (except for the BPSS-P General Index). Moreover, the BPSS-P Total score discriminated BD-I/BD-II/cyclothymia from depression spectrum patients, and the BPSS-Mania Index differentiated all three bipolar spectrum groups from depression spectrum patients. CONCLUSIONS: The BPSS-P has good to excellent psychometric properties. Its use across multiple settings and predictive validity requires further investigation.

Type and duration of subsyndromal symptoms in youth with bipolar I disorder prior to their first manic episode.

OBJECTIVES: The aim of the present study was to systematically evaluate the prodrome to mania in youth. METHODS: New-onset/worsening symptoms/signs of ≥ moderate severity preceding first mania were systematically assessed in 52 youth (16.2 ± 2.8 years) with a research diagnosis of bipolar I disorder (BD-I). Youth and/or caregivers underwent semi-structured interviews, using the Bipolar Prodrome Symptom Scale-Retrospective. RESULTS: The mania prodrome was reported to start gradually in most youth (88.5%), with either slow (59.6%) or rapid (28.8%) deterioration, while a rapid-onset-and-deterioration prodrome was rare (11.5%). The manic prodrome, conservatively defined as requiring ≥ 3 symptoms, lasted 10.3 ± 14.4 months [95% confidence interval (CI): 6.3-14.4], being present for ≥ 4 months in 65.4% of subjects. Among prodromal symptoms reported in ≥ 50% of youth, three were subthreshold manic in nature (irritability: 61.5%, racing thoughts: 59.6%, increased energy/activity: 50.0%), two were nonspecific (decreased school/work functioning: 65.4%, mood swings/lability: 57.7%), and one each was depressive (depressed mood: 53.8%) or subthreshold manic/depressive (inattention: 51.9%). A decreasing number of youth had ≥ 1 (84.6%), ≥ 2 (48.1%), or ≥ 3 (26.9%) 'specific' subthreshold mania symptoms (i.e., elation, grandiosity, decreased need for sleep, racing thoughts, or hypersexuality), lasting 9.5 ± 14.9 months (95% CI: 5.0-14.0), 3.5 ± 3.5 months (95% CI: 2.0-4.9), and 3.0 ± 3.2 months (95% CI: 1.0-5.0) for ≥ 1, ≥ 2, or ≥ 3 specific symptoms, respectively. CONCLUSIONS: In youth with BD-I, a relatively long, predominantly slow-onset mania prodrome appears to be common, including subthreshold manic and depressive psychopathology symptoms. This suggests that early clinical identification and intervention may be feasible in bipolar disorder. Identifying biological markers associated with clinical symptoms of impending mania may help to increase chances for early detection and prevention before full mania.

Suicidal ideation and suicide attempts in children and adolescents with bipolar disorder: a systematic review of prevalence and incidence rates, correlates, and targeted interventions.

OBJECTIVE: Pediatric bipolar disorder (PBD) is associated with poor outcomes, including suicidal ideation (SI) and suicide attempt (SA). However, frequencies and risk factors of SI/SA and targeted intervention trials for SI/SA in PBD have not been reviewed systematically. METHODS: We conducted a systematic PubMed review, searching for articles reporting on prevalences/incidences, correlates and intervention studies targeting SI/SA in PBD. Weighted means were calculated, followed by an exploratory meta-regression of SI and SA correlates. RESULTS: Fourteen studies (n = 1595), in which 52.1% of patients were male and the mean age was 14.4 years, reported data on SI/SA prevalence (N = 13, n = 1508) and/or correlates (N = 10, n = 1348) in PBD. Weighted mean prevalences were: past SI = 57.4%, past SA = 21.3%, current SI = 50.4%, and current SA = 25.5%; incidences (mean 42 months of follow-up) were: SI = 14.6% and SA = 14.7%. Regarding significant correlates, SI (N = 3) was associated with a higher percentage of Caucasian race, narrow (as opposed to broad) PBD phenotype, younger age, and higher quality of life than SA. Significant correlates of SA (N = 10) included female sex, older age, earlier illness onset, more severe/episodic PBD, mixed episodes, comorbid disorders, past self-injurious behavior/SI/SA, physical/sexual abuse, parental depression, family history of suicidality, and poor family functioning. Race, socioeconomic status, living situation, and life events were not clearly associated with SA. In a meta-regression analysis, bipolar I disorder and comorbid attention-deficit hyperactivity disorder were significantly associated with SA. Only one open label study targeting the reduction of SI/SA in PBD was identified. CONCLUSIONS: SI and SA are very common but under-investigated in PBD. Exploration of predictors and protective factors is imperative for the establishment of effective preventive and intervention strategies, which are urgently needed.

Post-acute college student satisfaction with telepsychiatry during the COVID-19 pandemic.

OBJECTIVES: Patient satisfaction with telepsychiatry during the COVID-19 pandemic has generally been positive, but few studies have compared patient experiences across settings, and no study to date has investigated the experience of college students receiving post-acute mental health treatment in an outpatient setting. PARTICIPANTS: The current study surveyed college student outpatients (n = 101) to understand their experiences using telehealth during the COVID-19 pandemic. METHODS: An anonymous survey was delivered electronically and included questions regarding patients' age, treatment length, telehealth use, and their experience and satisfaction with telepsychiatry. A mixed-methods approach was used to analyze responses between groups through Chi-Square, Kruskal-Wallis, or Mann-Whitney tests, and qualitatively to understand themes across items related to the benefits and challenges of telehealth. RESULTS: College students were more likely to utilize video-based telehealth and preferred video-based care. College students receiving medication management were much more likely to endorse telehealth being as helpful as in-person treatment. Several challenges associated with telehealth were raised in both groups. CONCLUSIONS: Understanding the benefits and challenges of telepsychiatry in this high-risk college population may help enhance access to care during a critical period of development in which most psychopathology emerges.

Altered awareness of action in schizophrenia: a specific deficit in predicting action consequences.

Patients suffering from schizophrenia may report unusual experiences of their own actions. They may either feel that external forces are controlling their actions or even their thoughts, or they may feel in control of events that in fact are not caused by their actions. Most theories link these disturbances in the sense of agency to deficits in motor prediction, resulting in a mismatch between predicted and actual sensory feedback at a central comparator mechanism. Such theories therefore can account for situations in which the sense of agency is reduced. However, other experiments as well as clinical observations show an enhanced rather than reduced sense of agency in schizophrenic patients. Here, we distinguish between a predictive and a retrospective mechanism where both contribute to the experience of agency, and show that schizophrenia is associated with a specific impairment to the predictive component. We measured subjective time estimates of self-initiated voluntary action (a key press) that were followed by a sensory effect (a tone). When the voluntary actions had a high probability of causing tones, healthy volunteers showed a predictive shift of the perceptual estimate of the action towards the tone, even on occasional trials where the tone was omitted. No such shift occurred in the absence of the tone on blocks when tones were less frequent. The predictive component of action awareness was calculated as the difference between time estimates on 'action only' trials from blocks with lower and higher tone probabilities. Schizophrenic patients lacked this predictive component of action awareness, showing a shift on 'action only' trials, regardless of the probability of the tone. Importantly, the schizophrenic deficit in predicting the relation between action and effect was strongly correlated with severity of positive psychotic symptoms, specifically delusions and hallucinations. Furthermore, the patients showed an exaggerated retrospective binding between action and tone, shifting the perceived time of action whenever the tone occurred, relative to when it did not occur. Our quantitative, implicit measures show how basic sensory and motor experience may be altered in acute psychosis. The enhanced sense of agency in schizophrenia reflects reliance on retrospection, rather than prediction, to associate actions with external events. The failure to predict the effects of one's own actions may underlie the blurring and confusion in the relationship between the self and the world that characterizes acute psychosis.

Altered sense of agency in schizophrenia and the putative psychotic prodrome.

The mechanisms underlying distortions in sense of agency, i.e. the experience of controlling one's own actions and their consequences, in schizophrenia are not fully understood and have barely been investigated in patients classified as being in a putative psychotic prodrome. This study aims to expound the contribution of early and late illness-related processes. Thirty schizophrenia patients, 30 putatively prodromal patients and 30 healthy controls were instructed to reproduce a computer-generated series of drum sounds on a drum pad. While tapping, subjects heard either their self-produced tones or a computer-controlled reproduction of the drum tone series that used either exactly the same, an accelerated or decelerated tempo. Subjects had to determine the source of agency. Results show similar significant impairments in assigning the source of agency under ambiguous conditions in schizophrenia and putatively prodromal patients and an exaggerated self-attribution bias, both of which were significantly correlated with increased (ego-)psychopathology. Patient groups, however, benefited significantly more than controls from additional sensorimotor cues to agency. Sensorimotor input seems to be a compensatory mechanism involved in correctly attributing agency. We deduce that altered awareness of agency may hold promise as an additional risk factor for psychosis.

Mental Health Care Providers' Attitudes Toward Telepsychiatry: A Systemwide, Multisite Survey During the COVID-19 Pandemic.

OBJECTIVES: The COVID-19 pandemic has forced a rapid transition to telepsychiatry. This study examined the experience and attitudes of mental health care providers toward telehealth. METHODS: At 18 centers across the United States, 819 mental health care providers completed an electronic survey about telepsychiatry use and satisfaction. RESULTS: Overall, 73% of providers using videoconferencing and 66% using the telephone rated their experience as excellent or good. Flexible scheduling or rescheduling (77%) and timely start (69%) were frequently reported advantages for both modalities. Challenges were related to patients' inability to use conferencing devices (52%), lack of sense of closeness or connection (46%), and technical problems (39%). After the pandemic resolves, 64% of respondents would want to continue using telepsychiatry in at least 25% of their caseload. CONCLUSIONS: Telepsychiatry was very well perceived among mental health care providers, and many would like to continue using it. Access to technology and training raises concerns.

Research in people with psychosis risk syndrome: a review of the current evidence and future directions.

After decades of research, schizophrenia and related psychotic disorders are still among the most debilitating disorders in medicine. The chronic illness course in most individuals, greater treatment responsiveness during the first episode, progressive gray matter decline during early disease stages, and retrospective accounts of 'prodromal' or early illness signs and symptoms formed the basis for research on the psychosis risk syndrome (PRS), known variably as 'clinical high risk' (CHR), or 'ultra-high risk' (UHR), or 'prodromal'. The pioneering era of research on PRS focused on the development and validation of specific assessment tools and the delineation of high risk criteria. This was followed by the examination of conversion rates in psychosis risk cohorts followed naturalistically, identification of predictors of conversion to psychosis, and investigation of interventions able to abort or delay the development of full psychosis. Despite initially encouraging results concerning the predictive validity of PRS criteria, recent findings of declining conversion rates demonstrate the need for further investigations. Results from intervention studies, mostly involving second-generation antipsychotics and cognitive behavioral therapy, are encouraging, but are currently still insufficient to make treatment recommendations for this early, relatively non-specific illness phase. The next phase of research on PRS, just now beginning, has moved to larger, 'multisite' projects to increase generalizability and to ensure that sufficiently large samples at true risk for psychosis are included. Emphasis in these emerging studies is on: 1) identification of biomarkers for conversion to psychosis; 2) examination of non-antipsychotic, neuroprotective and low-risk pharmacologic and non-pharmacologic interventions; 3) testing of potentially phase-specific interventions; 4) examination of the relationship between treatment response during PRS and prognosis for the course of illness; 5) follow-up of patients who developed schizophrenia despite early interventions and comparison of illness trajectories with patients who did not receive early interventions; 6) characterization of individuals with outcomes other than schizophrenia-spectrum disorders, such as bipolar disorder and remission from PRS, including false positive cases; and 7) assessment of meaningful social and role functioning outcomes. While the research conducted to date has already yielded crucial information, the translation of the concept of a clinically identifiable PRS into clinical practice does not seem justified at this point.

[Operationalized psychodynamic diagnostics (OPD) in patients in a prodromal state of schizophrenia--an explorative study]. / Operationalisierte Psychodynamische Diagnostik (OPD) bei Patienten im schizophrenen Prodromalstadium--Eine explorative Studie.

OBJECTIVES: To obtain data and hypotheses regarding the amelioration of risk estimation and preventive psychotherapy in patients in a prodromal state of schizophrenia by using OPD. METHODS: 20 participants with a prodromal condition--6 subjects far from psychosis and 14 close to psychosis--along with 10 patients with paranoid schizophrenia as reference group were examined using the first four OPD axes. RESULTS: Both groups differed considerably in all four axes. Compared to the schizophrenic participants, prodromal probands appear to have more favourable preconditions for therapy. Moreover, they experienced the interaction partners, including the investigator, as less aversive and induced less distanced behaviour in the investigator. Conflicts of self-esteem were prominent in both prodromal subgroups. However, patients farther from psychosis showed less conflicts of autonomy versus dependence and displayed a higher integration in structures such as "defence" and "attachment" when compared to participants closer to psychosis. CONCLUSIONS: Particularly the differences between the prodromal subgroups suggest that application of the OPD may positively complement previous approaches of early detection, prevention,and psychotherapy for prodromal conditions. The hypotheses obtained should be tested in longitudinal studies with larger sample sizes.

Patient Attitudes Toward Telepsychiatry During the COVID-19 Pandemic: A Nationwide, Multisite Survey.

BACKGROUND: The COVID-19 pandemic and its associated movement restrictions forced a rapid and massive transition to telepsychiatry to successfully maintain care continuity. OBJECTIVE: The aim of this study is to examine a large number of patients' experiences of, use of, and attitudes toward telepsychiatry. METHODS: An anonymous 11-question survey was delivered electronically to 14,000 patients receiving telepsychiatry care at 18 participating centers across 11 US states between the months of April and June 2020, including questions about their age and length of service use, as well as experience and satisfaction with telepsychiatry on a 5-point Likert scale. Descriptive statistics were used to analyze and report data. RESULTS: In total, 3070 patients with different age ranges participated. The overall experience using telepsychiatry was either excellent or good for 1189 (82.2%) participants using video and 2312 (81.5%) using telephone. In addition, 1922 (63.6%) patients either agreed or strongly agreed that remote treatment sessions (telephone or video) have been just as helpful as in-person treatment. Lack of commute (n=1406, 46.1%) and flexible scheduling/rescheduling (n=1389, 45.5%) were frequently reported advantages of telepsychiatry, whereas missing the clinic/hospital (n=936, 30.7%) and not feeling as connected to their doctor/nurse/therapist (n=752, 24.6%) were the most frequently reported challenges. After the current pandemic resolves, 1937 (64.2%) respondents either agreed or strongly agreed that they would consider using remote treatment sessions in the future. CONCLUSIONS: Telepsychiatry is very well perceived among a large sample of patients. After the current pandemic resolves, some patients may benefit from continued telepsychiatry, but longitudinal studies are needed to assess impact on clinical outcomes and determine whether patients' perceptions change over time.

Using behavioral rhythms and multi-task learning to predict fine-grained symptoms of schizophrenia.

Schizophrenia is a severe and complex psychiatric disorder with heterogeneous and dynamic multi-dimensional symptoms. Behavioral rhythms, such as sleep rhythm, are usually disrupted in people with schizophrenia. As such, behavioral rhythm sensing with smartphones and machine learning can help better understand and predict their symptoms. Our goal is to predict fine-grained symptom changes with interpretable models. We computed rhythm-based features from 61 participants with 6,132 days of data and used multi-task learning to predict their ecological momentary assessment scores for 10 different symptom items. By taking into account both the similarities and differences between different participants and symptoms, our multi-task learning models perform statistically significantly better than the models trained with single-task learning for predicting patients' individual symptom trajectories, such as feeling depressed, social, and calm and hearing voices. We also found different subtypes for each of the symptoms by applying unsupervised clustering to the feature weights in the models. Taken together, compared to the features used in the previous studies, our rhythm features not only improved models' prediction accuracy but also provided better interpretability for how patients' behavioral rhythms and the rhythms of their environments influence their symptom conditions. This will enable both the patients and clinicians to monitor how these factors affect a patient's condition and how to mitigate the influence of these factors. As such, we envision that our solution allows early detection and early intervention before a patient's condition starts deteriorating without requiring extra effort from patients and clinicians.

Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks.

BACKGROUND: Schizophrenia spectrum disorders (SSDs) are chronic conditions, but the severity of symptomatic experiences and functional impairments vacillate over the course of illness. Developing unobtrusive remote monitoring systems to detect early warning signs of impending symptomatic relapses would allow clinicians to intervene before the patient's condition worsens. OBJECTIVE: In this study, we aim to create the first models, exclusively using passive sensing data from a smartphone, to predict behavioral anomalies that could indicate early warning signs of a psychotic relapse. METHODS: Data used to train and test the models were collected during the CrossCheck study. Hourly features derived from smartphone passive sensing data were extracted from 60 patients with SSDs (42 nonrelapse and 18 relapse >1 time throughout the study) and used to train models and test performance. We trained 2 types of encoder-decoder neural network models and a clustering-based local outlier factor model to predict behavioral anomalies that occurred within the 30-day period before a participant's date of relapse (the near relapse period). Models were trained to recreate participant behavior on days of relative health (DRH, outside of the near relapse period), following which a threshold to the recreation error was applied to predict anomalies. The neural network model architecture and the percentage of relapse participant data used to train all models were varied. RESULTS: A total of 20,137 days of collected data were analyzed, with 726 days of data (0.037%) within any 30-day near relapse period. The best performing model used a fully connected neural network autoencoder architecture and achieved a median sensitivity of 0.25 (IQR 0.15-1.00) and specificity of 0.88 (IQR 0.14-0.96; a median 108% increase in behavioral anomalies near relapse). We conducted a post hoc analysis using the best performing model to identify behavioral features that had a medium-to-large effect (Cohen d>0.5) in distinguishing anomalies near relapse from DRH among 4 participants who relapsed multiple times throughout the study. Qualitative validation using clinical notes collected during the original CrossCheck study showed that the identified features from our analysis were presented to clinicians during relapse events. CONCLUSIONS: Our proposed method predicted a higher rate of anomalies in patients with SSDs within the 30-day near relapse period and can be used to uncover individual-level behaviors that change before relapse. This approach will enable technologists and clinicians to build unobtrusive digital mental health tools that can predict incipient relapse in SSDs.

Serotonergic dysfunction in the prodromal, first-episode and chronic course of schizophrenia as assessed by the loudness dependence of auditory evoked activity.

Recent studies revealing evidence of increased serotonergic neurotransmission in schizophrenia has generated substantial interest in the role of serotonin in its pathophysiology. None of these studies, however, have queried whether dysfunctional serotonergic activity might already have been present in subjects of at-risk mental state for schizophrenia before the onset of psychotic symptoms, and whether serotonergic activity further increases during the development of schizophrenia and the chronic course. Although no valid indicator for measuring the activity level of serotonergic neurotransmission has yet been found, a series of evidence from human and animal studies suggests that a weak loudness dependence of auditory evoked potentials (LDAEP) indicates high serotonergic activity and vice versa. We examined the LDAEP (N1/P2 component) in 60 patients with at-risk mental state for schizophrenia who showed characteristic prodromal symptoms, 34 first-episode patients, 28 patients with a chronic course of schizophrenia and 57 healthy controls. Prodromal patients showed significantly weaker LDAEP in comparison to healthy volunteers, but similarly to that in first-episode and chronic patients. None of the covariates such as age, gender, medication, age of onset, or psychopathology had an influence on this finding. In a subsample of prodromal patients, LDAEP values remain the same after retesting 10 months later. These results indicate that serotonergic neurotransmission had already increased before the onset of the full-blown psychosis of schizophrenia and remains enhanced in the further course of the disease. A weak LDAEP may therefore represent a vulnerability marker rather than an expression of illness progression.

Early mood swings as symptoms of the bipolar prodrome: preliminary results of a retrospective analysis.

BACKGROUND/AIMS: Temperament and mood swings are promising indicators for the characterization of mood spectrum vulnerability. The aim of this study was to investigate the relationship between affective temperament and mood swings in bipolar disorder. We explored these clinical features retrospectively. METHODS: Patients who met the criteria for bipolar I disorder were enrolled in the study. Exclusion criteria were partial remittance and a full affective or psychotic episode. Data concerning illness and family history, mood swings (semistructured interview for mood swings) and depression (Beck, Depression Inventory) were obtained. We examined premorbid temperament with the validated German version Temps-M of the original version Temps-A. Patients with and without mood swings were compared with respect to the dominant temperament. RESULTS: Out of 20 bipolar patients, 6 subjects reported mood swings prior to the onset of affective disorder. Subjects with mood swings prior to the onset of bipolar disorder significantly correlated with a positive family history of affective disorders. Concerning cyclothymic and irritable temperament, bipolar affective patients with mood swings had higher scores. No differences were found between males and females. CONCLUSION: Our findings go in line with previous results that mood swings, as represented by the cyclothymic temperament, are present prior to the first onset of bipolar disorder in a subset of patients. These traits may represent vulnerability markers and could presumably be used to identify individuals at high risk for developing bipolar disorder in order to prevent this illness. Further studies are indicated to clarify the correlation with genetic risk factors.

Relationships between smartphone social behavior and relapse in schizophrenia: A preliminary report.

Social dysfunction is a hallmark of schizophrenia. Social isolation may increase individuals' risk for psychotic symptom exacerbation and relapse. Monitoring and timely detection of shifts in social functioning are hampered by the limitations of traditional clinic-based assessment strategies. Ubiquitous mobile technologies such as smartphones introduce new opportunities to capture objective digital indicators of social behavior. The goal of this study was to evaluate whether smartphone-collected digital measures of social behavior can provide early indication of relapse events among individuals with schizophrenia. Sixty-one individuals with schizophrenia with elevated risk for relapse were given smartphones with the CrossCheck behavioral sensing system for a year of remote monitoring. CrossCheck leveraged the device's microphone, call record, and text messaging log to capture digital socialization data. Relapse events including psychiatric hospitalizations, suicidal ideation, and significant psychiatric symptom exacerbations were recorded by trained assessors. Exploratory mixed effects models examined relationships of social behavior to relapse, finding that reductions in number and duration of outgoing calls, as well as number of text messages were associated with relapses. Number and duration of incoming phone calls and in-person conversations were not. Smartphone enabled social activity may provide an important metric in determining relapse risk in schizophrenia and provide access to sensitive, meaningful and ecologically valid data streams never before available in routine care.

Capturing behavioral indicators of persecutory ideation using mobile technology.

Most existing measures of persecutory ideation (PI) rely on infrequent in-person visits, and this limits their ability to assess rapid changes or real-world functioning. Mobile health (mHealth) technology may address these limitations. Little is known about passively sensed behavioral indicators associated with PI. In the current study, sixty-two participants with schizophrenia spectrum disorders completed momentary assessments of PI on a smartphone that also passively collected behavioral data for one year. Results suggested that PI was prevalent (n = 50, 82% of sample) but had infrequent incidence (25.2% of EMA responses). PI was also associated with changes in several passively sensed variables, including decreases in distance traveled (Mkilometers = -1.20, SD = 18.88), time spent in a vehicle (Mminutes = -4.15, SD = 49.59), length of outgoing phone calls (Mminutes = -0.79, SD = 13.13), time spent proximal to human speech (Mminutes = -6.26, SD = 153.03), and an increase in time sitting still (Mminutes = 4.04, SD = 94.69). The present study suggests changes associated with PI may be detectable by passive sensors, including reductions in moving or traveling, and time spent around others or in self-initiated phone conversations. These constructs might constitute risk for PI.

Reduction of auditory event-related P300 amplitude in subjects with at-risk mental state for schizophrenia.

Neurophysiological methods allow the examination of cognitive-cortical functioning in patients with schizophrenia in its prodromal states. As revealed by previous studies, event-related potential components such as auditory evoked P300 associated with cognitive processes, such as attention and orientation, are known to be reduced in amplitude in acute and chronic as well as in medicated and unmedicated patients. It is, however, unclear whether a P300 amplitude reduction occurs before the schizophrenic psychosis is fully manifested. We studied patients in the prodromal phase of the schizophrenic disorder (i.e. subjects with an at-risk mental state showing attenuated psychotic symptoms or brief limited intermittent symptoms) as well as first-episode patients and chronic patients with schizophrenia and compared these groups to healthy subjects. The event-related P300 was recorded during an auditory oddball paradigm. Groups differed significantly from each other in the P300 amplitude at Pz (F(3/149)=2.532, p=0.02). Post-hoc tests revealed significantly lower P300 amplitudes of non-medicated prodromal (p=.03), first-episode (p=.01) and chronic patients (p=.001) compared to the healthy controls. The study revealed that there are neurophysiological changes as the reduction in P300 amplitudes begins early in schizophrenia at the prodromal phase, i.e. before a manifestation of full-blown psychosis, and that these changes seem to have a progressive course from prodromal to chronic state of schizophrenia as assumed in this cross-sectional study.

Early recognition of bipolar disorder.

Bipolar disorders are frequently not diagnosed until long after their onset, leaving patients with no or correspondingly inadequate treatment. The course of the disorder is all the more severe and the negative repercussions for those affected all the greater. Concerted research effort is therefore going into learning how to recognize bipolar disorders at an early stage. Drawing on current research results, this paper presents considerations for an integrative Early Symptom Scale with which persons at risk can be identified and timely intervention initiated. This will require prospective studies to determine the predictive power of the risk factors integrated into the scale.