Category Archives: Eur Psychiatry

New European privacy regulation: Assessing the impact for digital medicine innovations.

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New European privacy regulation: Assessing the impact for digital medicine innovations.
Eur Psychiatry. 2018 Aug 16;54:57-58
Authors: Mulder T, Jagesar RR, Klingenberg AM, P Mifsud Bonnici J, Kas MJ
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Religiosity and mental health of pre-adolescents with psychiatric problems and their parents: The TRAILS study.

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Religiosity and mental health of pre-adolescents with psychiatric problems and their parents: The TRAILS study.

Eur Psychiatry. 2015 Oct;30(7):845-51

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Mental health problems are associated with low-frequency fluctuations in reaction time in a large general population sample. The TRAILS study.

Mental health problems are associated with low-frequency fluctuations in reaction time in a large general population sample. The TRAILS study.

Eur Psychiatry. 2014 Jun 5;

Authors: Bastiaansen JA, van Roon AM, Buitelaar JK, Oldehinkel AJ

Abstract
BACKGROUND: Increased intra-subject reaction time variability (RT-ISV) as coarsely measured by the standard deviation (RT-SD) has been associated with many forms of psychopathology. Low-frequency RT fluctuations, which have been associated with intrinsic brain rhythms occurring approximately every 15-40s, have been shown to add unique information for ADHD. In this study, we investigated whether these fluctuations also relate to attentional problems in the general population, and contribute to the two major domains of psychopathology: externalizing and internalizing problems.
METHODS: RT was monitored throughout a self-paced sustained attention task (duration: 9.1±1.2min) in a Dutch population cohort of young adults (n=1455, mean age: 19.0±0.6years, 55.1% girls). To characterize temporal fluctuations in RT, we performed direct Fourier Transform on externally validated frequency bands based on frequency ranges of neuronal oscillations: Slow-5 (0.010-0.027Hz), Slow-4 (0.027-0.073Hz), and three additional higher frequency bands. Relative magnitude of Slow-4 fluctuations was the primary predictor in regression models for attentional, internalizing and externalizing problems (measured by the Adult Self-Report questionnaire). Additionally, stepwise regression models were created to investigate (a) whether Slow-4 significantly improved the prediction of problem behaviors beyond the RT-SD and (b) whether the other frequency bands provided important additional information.
RESULTS: The magnitude of Slow-4 fluctuations significantly predicted attentional and externalizing problems and even improved model fit after modeling RT-SD first (R(2) change=0.6%, P<.01). Subsequently, adding Slow-5 explained additional variance for externalizing problems (R(2) change=0.4%, P<.05). For internalizing problems, only RT-SD made a significant contribution to the regression model (R(2)=0.5%, P<.01), that is, none of the frequency bands provided additional information.
CONCLUSIONS: Low-frequency RT fluctuations have added predictive value for attentional and externalizing, but not internalizing problems beyond global differences in variability. This study extends previous findings in clinical samples of children with ADHD to adolescents from the general population and demonstrates that deconstructing RT-ISV into temporal components can provide more distinctive information for different domains of psychopathology.

PMID: 24909359 [PubMed – as supplied by publisher]

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The course of depressive symptoms and prescribing patterns of antidepressants in schizophrenia in a one-year follow-up study.

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The course of depressive symptoms and prescribing patterns of antidepressants in schizophrenia in a one-year follow-up study.
Eur Psychiatry. 2012 May;27(4):240-4
Authors: Lako IM, Taxis K, Bruggeman R, Knegte… Continue reading

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