14 results match your criteria: "Psychiatric Hospital University of Zurich[Affiliation]"

Article Synopsis
  • Negative symptoms (NS) in schizophrenia spectrum disorders (SSD) and bipolar disorder I (BD-I) have been linked to issues in working memory, but research on their connections to other clinical factors is limited.
  • In a study with 50 participants from SSD and 49 from BD-I, NS were evaluated using SANS scores focusing on areas like avolition-apathy and anhedonia-asociality, while relationships to symptoms and antipsychotic medication were analyzed through regression methods.
  • Results indicated that disorganization correlates with specific negative symptoms, and avolition-apathy notably predicts worse working memory across both disorders, suggesting the need for further understanding of how NS affects cognitive function in these conditions.
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Article Synopsis
  • This study used machine learning to classify subtypes of schizophrenia by analyzing brain images from over 4,000 patients and healthy individuals through international collaboration.* -
  • Researchers identified two neurostructural subgroups: one with predominant cortical loss and enlarged striatum, and another with significant subcortical loss in areas like the hippocampus and striatum.* -
  • The findings suggest this new imaging-based classification could redefine schizophrenia based on biological similarities, enhancing our understanding and treatment of the disorder.*
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Article Synopsis
  • Schizophrenia is characterized by significant changes in brain structure, but it's not clear if these changes relate to the brain's network organization.
  • Researchers analyzed MRI scans from nearly 2,500 people with schizophrenia alongside healthy controls to see how structural changes connect to brain networks.
  • The study found that certain regions in the brain that are crucial for connectivity are more affected in schizophrenia, indicating a link between brain network vulnerability and the disease's impact, with some similarities to bipolar disorder but not major depressive disorder.
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Machine learning can be used to define subtypes of psychiatric conditions based on shared clinical and biological foundations, presenting a crucial step toward establishing biologically based subtypes of mental disorders. With the goal of identifying subtypes of disease progression in schizophrenia, here we analyzed cross-sectional brain structural magnetic resonance imaging (MRI) data from 4,291 individuals with schizophrenia (1,709 females, age=32.5 years±11.

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Large cognitive fluctuations surrounding sleep in daily living.

iScience

March 2021

Institute of Psychology, Cognitive Psychology Unit, Leiden University, Wassenaarseweg 52, Leiden 2333 AK, the Netherlands.

Cognitive output and physical activity levels fluctuate surrounding sleep. The ubiquitous digitization of behavior via smartphones is a promising avenue for addressing how these fluctuations occur in daily living. Here, we logged smartphone touchscreen interactions to proxy cognitive fluctuations and contrasted these to physical activity patterns logged on wrist-worn actigraphy.

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Sleep-dependent memory consolidation in children with self-limited focal epilepsies.

Epilepsy Behav

December 2020

Children's Research Center, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032 Zurich, Switzerland; Department of Neurology, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032 Zurich, Switzerland.

Objective: Children with self-limited focal epilepsies of childhood (SLFE) are known to show impaired memory functions, particularly in the verbal domain. Interictal epileptiform discharges (IED) in these epilepsies are more pronounced in nonrapid eye movement (NREM) sleep. Nonrapid eye movement sleep is crucial for consolidation of newly-encoded memories.

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Capturing sleep-wake cycles by using day-to-day smartphone touchscreen interactions.

NPJ Digit Med

July 2019

1Institute of Psychology, Cognitive Psychology Unit, Leiden University, Leiden, The Netherlands.

Body movements drop with sleep, and this behavioural signature is widely exploited to infer sleep duration. However, a reduction in body movements may also occur in periods of intense cognitive activity, and the ubiquitous use of smartphones may capture these wakeful periods otherwise hidden in the standard measures of sleep. Here, we continuously captured the gross body movements using standard wrist-worn accelerometers to quantify sleep (actigraphy) and logged the timing of the day-to-day touchscreen events ('tappigraphy').

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Diurnal changes in human brain glutamate + glutamine levels in the course of development and their relationship to sleep.

Neuroimage

August 2019

Children's Research Center, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland; Child Development Center, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland; Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital University of Zurich, Lenggstrasse 31, 8032, Zurich, Switzerland. Electronic address:

Sleep slow waves during non-rapid eye movement (NREM) sleep play a crucial role in maintaining cortical plasticity, a process that is especially important in the developing brain. Children show a considerably larger overnight decrease in slow wave activity (SWA; the power in the EEG frequency band between 1 and 4.5 ​Hz during NREM sleep), which constitutes the primary electrophysiological marker for the restorative function of sleep.

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The glutamatergic α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor is involved in synaptic plasticity processes, and animal studies have demonstrated altered expression across the sleep wake cycle. Accordingly, glutamate levels are reduced during non-rapid eye movement (NREM) sleep and the rate of this decrease is positively correlated with sleep EEG slow wave activity (SWA). Here, we combined proton magnetic resonance spectroscopy ( H-MRS) and high-density sleep EEG to assess if H-MRS is sensitive to diurnal changes of glutamate + glutamine (GLX) in healthy young adults and if potential overnight changes of GLX are correlated to SWA.

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The influence of early life stress on the integration of emotion and working memory.

Behav Brain Res

February 2018

Klinik und Hochschulambulanz für Psychiatrie und Psychotherapie, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Benjamin Franklin, Hindenburgdamm 30, 12203 Berlin, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital University of Zurich, 8032 Zurich, Switzerland.

Introduction: Early life stress (ELS) impacts emotional and cognitive competences. We aimed to investigate whether the effects of ELS on working memory (WM) performance depend on the valence of the stimuli.

Methods: Between January and October 2015, we recruited (N=31) healthy subjects with (N=15) and without (N=16) ELS experiences.

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These practice guidelines for the biological treatment of alcohol use disorders are an update of the first edition, published in 2008, which was developed by an international Task Force of the World Federation of Societies of Biological Psychiatry (WFSBP). For this 2016 revision, we performed a systematic review (MEDLINE/PUBMED database, Cochrane Library) of all available publications pertaining to the biological treatment of alcoholism and extracted data from national guidelines. The Task Force evaluated the identified literature with respect to the strength of evidence for the efficacy of each medication and subsequently categorised it into six levels of evidence (A-F) and five levels of recommendation (1-5).

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Rapid eye movement (REM) sleep is considered to preferentially reprocess emotionally arousing memories. We tested this hypothesis by cueing emotional vs. neutral memories during REM and NREM sleep and wakefulness by presenting associated verbal memory cues after learning.

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Pharmacological Cognitive Enhancement in Healthy Individuals: A Compensation for Cognitive Deficits or a Question of Personality?

PLoS One

April 2016

Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital of the University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology, Zurich, Switzerland.

The ongoing bioethical debate on pharmacological cognitive enhancement (PCE) in healthy individuals is often legitimated by the assumption that PCE will widely spread and become desirable for the general public in the near future. This assumption was questioned as PCE is not equally save and effective in everyone. Additionally, it was supposed that the willingness to use PCE is strongly personality-dependent likely preventing a broad PCE epidemic.

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