The importance of informal support and a listening ear: A narrative analysis of emotional conflict and support needs of siblings of children with a psychiatric disorder.

This study investigates the self-reported impact of children's psychiatric disorders on their siblings and assesses what forms of support such children most value. We used a qualitative research design with open interviews to stimulate children between 8 and 15 years old to talk about their experiences living with a brother or sister with a psychiatric disorder. Their stories were analysed within a hermeneutic phenomenological framework in order to identify narrative themes and interpret the meaning of shared experiences. From our analysis, nine shared narrative themes emerge. Overall, siblings report feeling conflicted about adapting their lives to their brother's or sister's disorder and signal a need for personalized attention from parents. They also indicate that being involved in the care for their brother or sister helps them to better understand their behaviour. Finally, siblings reveal that, in their experience, formal, protocolized forms of support foreground family problems and stress. Thus, we recommend to involve children in the care process; to acknowledge their personal needs and conflicts; and to be mindful of the style of support: help offered in an informal or playful way, instead of formal and protocolized, could be a more effective way of meeting siblings' needs.

Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data.

An important focus of studies of individuals at ultra-high risk (UHR) for psychosis has been to identify biomarkers to predict which individuals will transition to psychosis. However, the majority of individuals will prove to be resilient and go on to experience remission of their symptoms and function well. The aim of this study was to investigate the possibility of using structural MRI measures collected in UHR adolescents at baseline to quantitatively predict their long-term clinical outcome and level of functioning. We included 64 UHR individuals and 62 typically developing adolescents (12-18 years old at recruitment). At six-year follow-up, we determined resilience for 43 UHR individuals. Support Vector Regression analyses were performed to predict long-term functional and clinical outcome from baseline MRI measures on a continuous scale, instead of the more typical binary classification. This led to predictive correlations of baseline MR measures with level of functioning, and negative and disorganization symptoms. The highest correlation (r = 0.42) was found between baseline subcortical volumes and long-term level of functioning. In conclusion, our results show that structural MRI data can be used to quantitatively predict long-term functional and clinical outcome in UHR individuals with medium effect size, suggesting that there may be scope for predicting outcome at the individual level. Moreover, we recommend classifying individual outcome on a continuous scale, enabling the assessment of different functional and clinical scales separately without the need to set a threshold. Hum Brain Mapp 38:704-714, 2017. © 2016 Wiley Periodicals, Inc.

Brain development in adolescents at ultra-high risk for psychosis: Longitudinal changes related to resilience.

BACKGROUND: The main focus of studies of individuals at ultra-high risk for psychosis (UHR) has been on identifying brain changes in those individuals who will develop psychosis. However, longitudinal studies have shown that up to half of UHR individuals are resilient, with symptomatic remission and good functioning at follow-up. Yet little is known about brain development in resilient individuals. Therefore, the aim of this study was to investigate differences in brain development between resilient and non-resilient individuals. METHODS: A six-year longitudinal structural MRI study was performed with up to three scans per individual. The final sample consisted of 48 UHR individuals and 48 typically developing controls with a total of 225 MRI-scans, aged 12-20 years at the time of the first MRI-scan and matched for age, gender and number of follow-up scans. At six-year follow-up, 35 UHR individuals were divided in resilient (good functional outcome) and non-resilient (poor functional outcome) subgroups, defined by the modified Global Assessment of Functioning. The main outcome measures were developmental changes in MR-based measures of cortical and subcortical anatomy. RESULTS: We found widespread differences in volume of frontal, temporal and parietal cortex between resilient and non-resilient individuals. These were already present at baseline and remained stable over development (12-24 years). Furthermore, there were differences in the development of cortical surface area in frontal regions including cingulate gyrus. CONCLUSIONS: Developmental differences may reflect compensatory neural mechanisms, where better functioning in resilient individuals leads to less tissue loss over development.

Reduced prepulse inhibition as an early vulnerability marker of the psychosis prodrome in adolescence.

BACKGROUND: The onset of psychosis is thought to be preceded by neurodevelopmental changes in the brain. However, the timing and nature of these changes have not been established. The aim of the present study was to determine whether three "classic" neurophysiological markers of schizophrenia are also characteristic of young adolescents (12-18 years) at ultra-high risk for psychosis (UHR). METHODS: 63 young UHR individuals and 68 typically developing, age-, sex- and IQ-matched controls were recruited for neurophysiological assessment. Data for P50 suppression, prepulse inhibition (PPI) and smooth pursuit eye movements (SPEM) were gathered and compared. RESULTS: UHR individuals showed reduced PPI compared to controls, which became more pronounced when controls were directly compared to medication-naive UHR individuals (N=39). There were no group differences in P50 or SPEM measures. CONCLUSIONS: These results suggest that PPI is a relatively early vulnerability marker, while changes in other neurophysiological measures may only be detected or affected later during the illness course. Antipsychotic and antidepressant medication may aid in elevating PPI levels and potentially have a neuroprotective effect.

Progressive structural brain changes during development of psychosis.

BACKGROUND: Ultra-high risk (UHR) for psychosis has been associated with widespread structural brain changes in young adults. The onset of these changes and their subsequent progression over time are not well understood. METHODS: Rate of brain change over time was investigated in 43 adolescents at UHR for psychosis compared with 30 healthy controls. Brain volumes (total brain, gray matter, white matter [WM], cerebellum, and ventricles), cortical thickness, and voxel-based morphometry were measured at baseline and at follow-up (2 y after baseline) and compared between UHR individuals and controls. Post hoc analyses were done for UHR individuals who became psychotic (N = 8) and those who did not (N = 35). RESULTS: UHR individuals showed a smaller increase in cerebral WM over time than controls and more cortical thinning in the left middle temporal gyrus. Post hoc, a more pronounced decrease over time in total brain and WM volume was found for UHR individuals who became psychotic relative to controls and a greater decrease in total brain volume than individuals who were not psychotic. Furthermore, UHR individuals with subsequent psychosis displayed more thinning than controls in widespread areas in the left anterior cingulate, precuneus, and temporo-parieto-occipital area. Volume loss in the individuals who developed psychosis could not be attributed to medication use. CONCLUSION: The development of psychosis during adolescence is associated with progressive structural brain changes around the time of onset. These changes cannot be attributed to (antipsychotic) medication use and are therefore likely to reflect a pathophysiological process related to clinical manifestation of psychosis.

Transition and remission in adolescents at ultra-high risk for psychosis.

BACKGROUND: Future success of early intervention initiatives to prevent the onset of psychosis will rely on the validity of methods to predict clinical outcome. Proper identification is particularly essential for young adolescents, as psychotic-like symptoms are often transitory during this period and mislabeling can lead to early stigmatization and unnecessary treatment. This article presents results from a prospective, naturalistic 2-year follow-up study of a cohort of young adolescents putatively at ultra-high risk (UHR) for psychosis. METHODS: Seventy-two adolescents between 12 and 18years were recruited, fulfilling either UHR criteria or the basic symptom-based criterion cognitive disturbances (COGDIS). Incidence of transition as well as the remission rate from UHR status was calculated. Individuals who made a transition (UHR-P) were compared to those who did not (UHR-NP) and to those who remitted (UHR-R) on socio-demographic and clinical characteristics. RESULTS: Fifty-seven UHR individuals completed the 2-year follow-up assessment. The confirmed transition rate was 15.6% and 35.3% still met UHR criteria. The remaining 49.1% had remitted from an initial UHR status. The UHR subgroups did not differ on socio-demographic or clinical variables at baseline. CONCLUSIONS: Half of young adolescents meeting UHR criteria continue to experience prodromal or psychotic symptoms after 2 years. However, they are at least three times more likely to have remitted from their UHR status than to have made a transition to psychosis. In addition, baseline characteristics are not indicative of clinical outcome at follow-up. Our results emphasize the need for further improvement and stratification of relative risk factors for psychosis.

No evidence for structural brain changes in young adolescents at ultra high risk for psychosis.

OBJECTIVE: The onset of psychosis is thought to be preceded by neurodevelopmental changes in the brain. However, the timing of these changes has not been established. We investigated structural brain changes in a sample of young adolescents (12-18 years) at ultra high-risk for psychosis (UHR). METHODS: Structural MRI data from young UHR subjects (n=54) and typically developing, matched controls (n=54) were acquired with a 1.5 Tesla scanner and compared. RESULTS: None of the measures differed between UHR subjects and controls. CONCLUSIONS: Our results do not support the presence of gross neuroanatomical changes in young UHR subjects. This suggests that early changes are too subtle to detect with conventional imaging techniques. Therefore, changes observed in older cohorts may only onset later developmentally or occur secondary to prodromal symptoms.

The genetic overlap of attention deficit hyperactivity disorder and autistic spectrum disorder.

Autistic spectrum disorders (ASD) and attention deficit hyperactivity disorder (ADHD) are classified as distinct disorders within the DSM-IV-TR (1994). The manual excludes simultaneous use of both diagnoses in case of overlap on a symptomatic level. However this does not always represent clinical observations and findings of previous studies. This review explores the genetic basis of the phenomenological overlap between ADHD and ASD. Based on an extensive review of twin-, linkage-, association studies, and reported structural genomic abnormalities associated with these disorders, we have identified seventeen regions on the human genome that can be related to both disorders. These regions of shared genetic association are: 2q35, 3p14, 4p16.1, 4p16.3, 5p15.31, 5p15.33, 7p12.3, 7p22, 7q21, 8q24.3, 14q12, 15q11-12, 16p13, 17q11, 18q21-23, 22q11.2, Xp22.3. The presented data are of interest for future genetic studies and appear to suggest the existence of a phenotype partition that may differ from the current classification of psychiatric disorders.

Characteristics of early psychosis.

There is little research on characteristics related to course and prognosis of early-onset psychosis. The present article aims to advance our knowledge of this disorder for the purpose of proper diagnosis and treatment. It focuses on premorbid and prodromal characteristics, treatment history, symptoms and classifications, and differences between subgroups with affective and schizophrenic psychosis. A chart review was constructed to study a group of 129 subjects (12-18 years) with psychotic symptoms referred to the University Medical Center in Utrecht. The group was characterized by early-but nonspecific-treatment, developmental problems (mostly social), and clear prodromal symptoms. Drug abuse, depressive symptoms, and suicidal behavior were also frequent. Male sex, a relatively long prodromal phase, school problems, and drug abuse were more indicative of the schizophrenic subgroup. Introversion was characteristic for boys with schizophrenia. Classifications, however, were not stable. These findings suggest that early recognition of psychosis can be enhanced in health and youth care facilities. Careful examination of the prodromal phase seems helpful to differentiate between schizophrenic and affective psychosis.

Brain volume changes in first-episode schizophrenia: a 1-year follow-up study.

BACKGROUND: Imaging studies of patients with schizophrenia have demonstrated that brain abnormalities are largely confined to decreases in gray matter volume and enlargement of the lateral and third ventricles. Global gray matter volume has been reported to progressively decrease in childhood-onset and chronic schizophrenia. Global gray matter volumes have not been examined longitudinally in patients with first-episode schizophrenia. One would expect global gray matter to decrease progressively, particularly in first-episode patients, because clinical deterioration is greatest in the early stages of the disease. METHODS: Patients with first-episode schizophrenia who had taken antipsychotic medication for 0 to 16 weeks (n = 34) and matched healthy comparison subjects (n = 36) were included in the study. For all subjects, magnetic resonance imaging scans of the whole brain were obtained at inclusion and after 1 year (mean [SD], 12.7 [1.1] months). Outcome was measured 2 years after inclusion. To compare morphological changes over time between patients and healthy comparison subjects, multiple repeated-measures analyses of variance were conducted with intracranial volume as a covariate. Outcome and cumulative antipsychotic medication were related to changes in patients' brain volumes. RESULTS: Total brain volume (-1.2%) and gray matter volume of the cerebrum (-2.9%) significantly decreased and lateral ventricle volume significantly increased (7.7%) in patients. The decrease in global gray matter volume significantly correlated with outcome and, independently of that, with higher cumulative dosage of antipsychotic medication. CONCLUSIONS: The loss of global gray matter in schizophrenia is progressive, occurs at an early stage of the illness, and is related to the disease process and antipsychotic medication.