Microstructural thalamic changes in schizophrenia: a combined anatomic and diffusion weighted magnetic resonance imaging study

Journal ArticleObjective: Several magnetic resonance imaging (MRI) and postmortem studies have supported the role of the thalamus in the pathophysiology of schizophrenia. Interestingly, a recent small diffusion weighted imaging (DWI) study showed abnormal thalamic microstructure in patients with schizophrenia. The objective of our study was to use structural MRI and DWI to explore for the first time both thalamic volumes and integrity in schizophrenia. Methods: We measured thalamic volumes and apparent diffusion coefficient (ADC) measures bilaterally in 71 patients with schizophrenia, representative of those living in the geographically defined catchment area of South Verona (i.e., 100 000 inhabitants), and 75 individuals without schizophrenia. The presence of the adhesio interthalamica was also detected. Results: We found no significant differences in thalamus size between patients with schizophrenia and participants in the control group, with only a trend for decreased left volumes. No abnormal frequency of the adhesio interthalamica was found. In contrast, significantly increased thalamic ADC values were shown in schizophrenia patients. Age significantly inversely correlated with thalamic volumes in both groups and correlated positively with posterior ADCs in patients with schizophrenia. No significant associations between clinical variables and either volumes or ADC values were reported. Conclusion: Widespread altered microstructure integrity and partially preserved thalamus size were found in schizophrenia patients. Therefore, subtle thalamic structural abnormalities are present in schizophrenia, even with maintained volumes. This may result from disruption at the cytoarchitecture level, ultimately supporting corticothalamic misconnection. Future imaging studies should further explore thalamic tissue coherence and its role for cognitive disturbances in patients at high risk for schizophrenia and in first-degree relatives

Classification of schizophrenia using feature-based morphometry

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Increased salience of gains versus decreased associative learning differentiate bipolar disorder from schizophrenia during incentive decision making

Background Abnormalities in incentive decision making, typically assessed using the Iowa Gambling Task (IGT), have been reported in both schizophrenia (SZ) and bipolar disorder (BD). We applied the Expectancy-Valence (E-V) model to determine whether motivational, cognitive and response selection component processes of IGT performance are differentially affected in SZ and BD. Method Performance on the IGT was assessed in 280 individuals comprising 70 remitted patients with SZ, 70 remitted patients with BD and 140 age-, sex-and IQ-matched healthy individuals. Based on the E-V model, we extracted three parameters, 'attention to gains or loses', 'expectancy learning' and 'response consistency', that respectively reflect motivational, cognitive and response selection influences on IGT performance. Results Both patient groups underperformed in the IGT compared to healthy individuals. However, the source of these deficits was diagnosis specific. Associative learning underlying the representation of expectancies was disrupted in SZ whereas BD was associated with increased incentive salience of gains. These findings were not attributable to non-specific effects of sex, IQ, psychopathology or medication. Conclusions Our results point to dissociable processes underlying abnormal incentive decision making in BD and SZ that could potentially be mapped to different neural circuits

A multi-element psychosocial intervention for early psychosis (GET UP PIANO TRIAL) conducted in a catchment area of 10 million inhabitants: study protocol for a pragmatic cluster randomized controlled trial

Multi-element interventions for first-episode psychosis (FEP) are promising, but have mostly been conducted in non-epidemiologically representative samples, thereby raising the risk of underestimating the complexities involved in treating FEP in 'real-world' services

Dealing with multigranular spatio-temporal databases to manage psychiatric epidemiology data

In epidemiology spatio-temporal data may represent surveillance data and origins of diseases. In order to better exploit these data, temporal and spatial dimensions could be managed considering them as meta-data useful to retrieve classical data. In this paper, we propose to use a framework for spatio-temporal granularities with the aim to improve the querying of clinical spatio-temporal data. We show how granularities can be used to enrich a psychiatric case register. We exemplify our approach reporting spatio-temporal queries, based on granularities, useful for epidemiological studies