Childhood trauma in schizophrenia: current findings and research perspectives
Schizophrenia is a severe neuropsychiatric disorder with persistence of symptoms
throughout adult life in most of the affected patients. This unfavorable course is associated …
throughout adult life in most of the affected patients. This unfavorable course is associated …
LSD acutely impairs working memory, executive functions, and cognitive flexibility, but not risk-based decision-making
T Pokorny, P Duerler, E Seifritz… - Psychological …, 2020 - cambridge.org
BackgroundPsychiatric and neurodegenerative illnesses are characterized by cognitive
impairments, in particular deficits in working memory, decision-making, and executive …
impairments, in particular deficits in working memory, decision-making, and executive …
Associations between aversive learning processes and transdiagnostic psychiatric symptoms in a general population sample
Symptom expression in psychiatric conditions is often linked to altered threat perception,
however how computational mechanisms that support aversive learning relate to specific …
however how computational mechanisms that support aversive learning relate to specific …
[HTML][HTML] Patterns of a structural covariance network associated with dispositional optimism during late adolescence
Abstract Dispositional optimism (hereinafter, optimism), as a vital character strength, reflects
the tendency to hold generalized positive expectancies for future outcomes. A great number …
the tendency to hold generalized positive expectancies for future outcomes. A great number …
[HTML][HTML] Associations between cognitive function and levels of glutamatergic metabolites and gamma-aminobutyric acid in antipsychotic-naïve patients with …
Background Abnormal glutamate and GABA (gamma-aminobutyric acid) levels have been
found in the early phase of schizophrenia and may underlie cognitive deficits. However, the …
found in the early phase of schizophrenia and may underlie cognitive deficits. However, the …
[HTML][HTML] Dopaminergic activity in antipsychotic-naïve patients assessed with positron emission tomography before and after partial dopamine D2 receptor agonist …
Background Dopamine activity has been associated with the response to antipsychotic
treatment. Our study used a four-parameter model to test the association between the striatal …
treatment. Our study used a four-parameter model to test the association between the striatal …
A machine-learning framework for robust and reliable prediction of short-and long-term treatment response in initially antipsychotic-naïve schizophrenia patients …
The reproducibility of machine-learning analyses in computational psychiatry is a growing
concern. In a multimodal neuropsychiatric dataset of antipsychotic-naïve, first-episode …
concern. In a multimodal neuropsychiatric dataset of antipsychotic-naïve, first-episode …
Widespread higher fractional anisotropy associates to better cognitive functions in individuals at ultra‐high risk for psychosis
In schizophrenia patients, cognitive functions appear linked to widespread alterations in
cerebral white matter microstructure. Here we examine patterns of associations between …
cerebral white matter microstructure. Here we examine patterns of associations between …
Morphometric analysis of structural MRI using schizophrenia meta-analytic priors distinguish patients from controls in two independent samples and in a sample of …
Schizophrenia (SCZ) is associated with structural brain changes, with considerable variation
in the extent to which these cortical regions are influenced. We present a novel metric that …
in the extent to which these cortical regions are influenced. We present a novel metric that …
Clustering of antipsychotic-naïve patients with schizophrenia based on functional connectivity from resting-state electroencephalography
Schizophrenia is associated with aberrations in the Default Mode Network (DMN), but the
clinical implications remain unclear. We applied data-driven, unsupervised machine …
clinical implications remain unclear. We applied data-driven, unsupervised machine …