Mirjam J. van Tricht

Reduced parietal P300 amplitude is associated with an increased risk for a first psychotic episode.

BACKGROUND P300 abnormalities indicate changes in information processing and are one of the most reliable biological markers of schizophrenia. We sought to investigate whether abnormalities in P300 (P3) or other event-related potentials are also present in subjects at ultra high risk (UHR) for developing psychosis and whether they are helpful in predicting transition to psychosis. METHODS The N1, N2, N2b, P2, and P3 amplitudes were assessed in 61 UHR subjects, of whom 18 subjects (30%) made a transition to psychosis over a 3-year follow-up period (UHR + T: age 20.4 years) and 43 (70%) did not (UHR + NT: age 19.3 years), and 28 age- and intelligence-matched healthy control subjects (age 20.0 years). Psychopathology was also assessed. RESULTS The UHR + T subjects showed smaller parietal P3 amplitudes, compared with control subjects and UHR + NT subjects. Moreover, the N2b was higher in control subjects compared with both UHR groups. We found no differences in N1 or P2 components between the groups, and our UHR subjects did not exhibit bilateral P3 asymmetry. Reduced P3 amplitudes were the best predictor for subsequent psychosis in the UHR group. The P3 reduction was related to increased social anhedonia and withdrawal and a lower global assessment of social functioning and social personal adjustment. CONCLUSIONS The UHR + T subjects showed reduced parietal P3 amplitudes. In addition, a reduced P3 amplitude was the best predictor for subsequent psychosis. If replicated, these findings might contribute to a more accurate prediction of a first psychotic episode. Furthermore, reduced social functioning might be related to information processing deficits in UHR subjects.

Efficacy and safety of high-dose baclofen for the treatment of alcohol dependence : A multicentre, randomised, double-blind controlled trial

Previous randomised placebo-controlled trials with low-to-medium doses of baclofen (30-60mg) showed inconsistent results, but case studies suggested a dose-response effect and positive outcomes in patients on high doses of baclofen (up to 270mg). Its prescription was temporary permitted for the treatment of alcohol dependence (AD) in France, and baclofen is now widely prescribed. Recently, a small RCT found a strong effect of a mean dose of 180mg baclofen. In the present study the efficacy and safety of high doses of baclofen was examined in a multicentre, double-blind, placebo-controlled trial. 151 patients were randomly assigned to either six weeks titration and ten weeks high-dose baclofen (N=58; up to 150mg), low-dose baclofen (N=31; 30mg), or placebo (N=62). The primary outcome measure was time to first relapse. Nine of the 58 patients (15.5%) in the high-dose group reached 150mg and the mean baclofen dose in this group was 93.6mg (SD=40.3). No differences between the survival distributions for the three groups were found in the time to first relapse during the ten-weeks high-dose phase (χ2=0.41; p=0.813) or the 16-weeks complete medication period (χ2=0.04; p=0.982). There were frequent dose-related adverse events in terms of fatigue, sleepiness, and dry mouth. One medication related serious adverse event occurred in the high-dose baclofen group. Neither low nor high doses of baclofen were effective in the treatment of AD. Adverse events were frequent, although generally mild and transient. Therefore, large-scale prescription of baclofen for the treatment of AD seems premature and should be reconsidered.

Psychosis Prediction: Stratification of Risk Estimation With Information-Processing and Premorbid Functioning Variables

BACKGROUND The period preceding the first psychotic episode is regarded as a promising period for intervention. We aimed to develop an optimized prediction model of a first psychosis, considering different sources of information. The outcome of this model may be used for individualized risk estimation. METHODS Sixty-one subjects clinically at high risk (CHR), participating in the Dutch Prediction of Psychosis Study, were assessed at baseline with instruments yielding data on neuropsychology, symptomatology, environmental factors, premorbid adjustment, and neurophysiology. The follow-up period was 36 months. RESULTS At 36 months, 18 participants (29.5%) had made a transition to psychosis. Premorbid adjustment (P = .001, hazard ratio [HR] = 2.13, 95% CI = 1.39/3.28) and parietal P300 amplitude (P = .004, HR = 1.27, 95% CI = 1.08/1.45) remained as predictors in the Cox proportional hazard model. The resulting prognostic score (PS) showed a sensitivity of 88.9% and a specificity of 82.5%. The area under the curve of the PS was 0.91 (95% CI = 0.83-0.98, cross-validation: 0.86), indicating an outstanding ability of the model to discriminate between transition and nontransition. The PS was further stratified into 3 risk classes establishing a prognostic index. In the class with the worst social-personal adjustment and lowest P300 amplitudes, 74% of the subjects made a transition to psychosis. Furthermore, transition emerged on average more than 17 months earlier than in the lowest risk class. CONCLUSIONS Our results suggest that predicting a first psychotic episode in CHR subjects could be improved with a model including premorbid adjustment and information-processing variables in a multistep algorithm combining risk detection and stratification.

Cognition and psychopathology in myoclonus-dystonia

Objective (1) To study the neuropsychological and psychopathological profile in myoclonus-dystonia (M-D) patients with and without a mutation in the DYT11 gene. (2) To explore whether cognitive and psychiatric impairments are related to severity and duration of motor symptoms. Herewith, this study may help to clarify whether neuropsychological and psychiatric symptoms are associated with the DYT11 mutation or are secondary to the burden of motor impairments that originated in early childhood. Methods Extensive batteries of neuropsychological tests and psychiatric questionnaires were administered to DYT11 gene mutation-carrying (MC) M-D patients (n=31), non-mutation-carrying (NMC) M-D patients (n=20) and a healthy control group (n=36). Results MC M-D patients demonstrated mild impairments in executive functions. On the contrary, with the exception of one type of verbal fluency, no evident cognitive impairments were found in NMC M-D patients. Further, increased rates of anxiety disorders were found only in MC M-D patients, whereas increased rates of depressive symptoms were observed in both M-D groups. Correlation analyses yielded modest associations between severity of myoclonus and executive functions. No relationships were found between neuropsychological test performance and scores on the psychiatric assessments. Conclusions The findings of this study suggest that anxiety disorders and executive dysfunctions may be part of the phenotype of M-D patients with a DYT11 mutation, whereas depressive symptoms and semantic fluency impairments may be secondary to suffering from a chronic movement disorder, regardless of DYT11 gene mutation.

Can quantitative EEG measures predict clinical outcome in subjects at Clinical High Risk for psychosis? A prospective multicenter study

BACKGROUND Prediction studies in subjects at Clinical High Risk (CHR) for psychosis are hampered by a high proportion of uncertain outcomes. We therefore investigated whether quantitative EEG (QEEG) parameters can contribute to an improved identification of CHR subjects with a later conversion to psychosis. METHODS This investigation was a project within the European Prediction of Psychosis Study (EPOS), a prospective multicenter, naturalistic field study with an 18-month follow-up period. QEEG spectral power and alpha peak frequencies (APF) were determined in 113 CHR subjects. The primary outcome measure was conversion to psychosis. RESULTS Cox regression yielded a model including frontal theta (HR=1.82; [95% CI 1.00-3.32]) and delta (HR=2.60; [95% CI 1.30-5.20]) power, and occipital-parietal APF (HR=.52; [95% CI .35-.80]) as predictors of conversion to psychosis. The resulting equation enabled the development of a prognostic index with three risk classes (hazard rate 0.057 to 0.81). CONCLUSIONS Power in theta and delta ranges and APF contribute to the short-term prediction of psychosis and enable a further stratification of risk in CHR samples. Combined with (other) clinical ratings, EEG parameters may therefore be a useful tool for individualized risk estimation and, consequently, targeted prevention.

Auditory ERP components before and after transition to a first psychotic episode

We investigated the course of Event Related Potentials (ERP) from prior to until shortly after a first psychotic episode in subjects at Ultra High Risk (UHR) for psychosis. N1, N2, N2b, P2 and P3 amplitudes were assessed using an auditory active oddball paradigm in 15 UHR subjects who made a transition to psychosis (UHR+T) at follow up, 23 subjects without a transition (UHR+NT) and 17 matched healthy controls at inclusion and again after approximately 18 months. Repeated-measures analyses revealed no significant time effects for any of the ERP components. However, an interaction effect was found for N1 amplitudes. Post-hoc analyses showed that N1 amplitudes were smaller at follow up compared to baseline only in UHR+T subjects. P3 amplitudes showed no further reduction after psychotic onset. These findings suggest that discernable ERP components behave differently during progression from the prodromal phase to the first psychotic episode. These findings may give insight in pathophysiological mechanisms underlying the genesis of psychosis.

Neuropsychological profile of psychogenic jerky movement disorders: Importance of evaluating non-credible cognitive performance and psychopathology

Background Psychogenic movement disorders are disorders of movements that cannot be explained by a known neurological disorder and are assumed to be associated with psychiatric symptoms such as depression and anxiety. Objective To examine the neuropsychological profile of patients with psychogenic movement disorders. Methods We examined cognitive functioning using neuropsychological tests in 26 patients with clinically established psychogenic jerky movement disorders (PMD). We included 16 patients with Gilles de la Tourette syndrome (GTS) who served as a patient control group, in addition to 22 healthy control subjects. Non-credible test performance was detected using a Symptom Validity Test (SVT). Psychopathology was also assessed. Results Apart from a worse performance on a verbal memory task, no evidence of neuropsychological impairments was found in our PMD sample. Interestingly however, patients with PMD reported more cognitive complaints in daily life and performed worse on the SVT than the two other groups. Patients with GTS did not report, or show, cognitive impairments. In patients with PMD, we found associations between verbal learning, SVT performance and severity of depression and anxiety complaints. Conclusions We conclude that some patients with PMD show non-credible cognitive symptoms. In contrast, no evident cognitive impairments were present in patients with PMD or GTS. Our study underlines the importance of assessment of non-credible response in patients with PMD. Additionally, non-credible response might aid in the differentiation of PMD from other movement disorders.

Impaired emotion recognition in music in Parkinson's disease

Music has the potential to evoke strong emotions and plays a significant role in the lives of many people. Music might therefore be an ideal medium to assess emotion recognition. We investigated emotion recognition in music in 20 patients with idiopathic Parkinsons disease (PD) and 20 matched healthy volunteers. The role of cognitive dysfunction and other disease characteristics in emotion recognition was also evaluated. We used 32 musical excerpts that expressed happiness, sadness, fear or anger. PD patients were impaired in recognizing fear and anger in music. Fear recognition was associated with executive functions in PD patients and in healthy controls, but the emotion recognition impairments of PD patients persisted after adjusting for executive functioning. We found no differences in the recognition of happy or sad music. Emotion recognition was not related to depressive symptoms, disease duration or severity of motor symptoms. We conclude that PD patients are impaired in recognizing complex emotions in music. Although this impairment is related to executive dysfunction, our findings most likely reflect an additional primary deficit in emotional processing.

Sensory gating in subjects at ultra high risk for developing a psychosis before and after a first psychotic episode

Abstract Objectives. To explore sensory gating deficits in subjects at Ultra High Risk (UHR) for psychosis before and after transition to a first psychotic episode. Methods. Sensory gating was assessed with the paired click paradigm in 61 UHR subjects, of whom 18 (30%) made a transition to psychosis (UHR + T) over a 3-year follow-up period and 28 matched healthy controls. Subjects were assessed at inclusion and again after approximately 18 months. P50, N100 (N1) and P200 (P2) sensory gating was established using the amplitude on the first (S1) and second (S2) click, the ratio- (S2/S1) and the difference score (S1-S2). Psychopathology was also assessed. Results. At baseline, UHR + T subjects presented smaller N1 difference scores compared to UHR + NT subjects and controls. The N1 difference score contributed modestly to the prediction of a first psychotic episode. Repeated measure analyses revealed smaller N1 and P2 S1 amplitudes, smaller P2 difference scores and larger P2 ratios at follow-up compared to baseline in UHR + T subjects. Conclusion. The N1 difference score may be helpful in predicting a first psychosis. N1 and P2 sensory gating measures also showed alterations between the prodromal phase and the first psychosis, suggesting that these changes may relate to the onset of a frank psychotic episode.

Effects of cannabis use on event related potentials in subjects at ultra high risk for psychosis and healthy controls

Cannabis use has consistently been associated with psychotic symptoms as well as cognitive impairments. Moreover, its use may provoke subclinical psychotic symptoms and is associated with neuropsychological dysfunctions in subjects at ultra high risk (UHR) for developing psychosis. However, to our knowledge, no data are yet available on the relationship between cannabis use, UHR symptoms and information processing as assessed with event related potentials (ERP) in UHR subjects. This cross-sectional study therefore aimed to investigate N100, N200, P200 and P300 ERP components in 48 UHR subjects (19 cannabis users; UHR+C) and 50 healthy controls (21 cannabis users; HC+C). Results showed smaller P300 amplitudes in HC+C and UHR subjects compared to HC-C. Moreover, HC+C showed prolonged P300 and N200 latencies compared to HC-C and UHR-C. No significant ERP differences were found between UHR+C and UHR-C. Regarding the relationship between information processing and psychopathology, we found associations between ERP components and severity of UHR symptoms, findings being most pronounced for N100 latencies and P300 amplitudes and severity of general psychopathology and positive symptoms. We conclude that UHR subjects and healthy cannabis users demonstrate similar P300 amplitude reductions compared to non-using control subjects. In addition, the interrelation of cannabis use with prolonged ERP latencies may signify reduced information processing speed associated with cannabis use. Finally, our findings cautiously support the hypothesis that the clinical phenomena of the UHR state may be associated with abnormalities in stimulus processing.