ArticleTranslational psychiatry2017
Two subgroups of antipsychotic-naive, first-episode schizophrenia patients identified with a Gaussian mixture model on cognition and electrophysiology.
Article in Translational psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- EEG-Based Measures in At-Risk Mental State and Early Stages of Schizophrenia: A Systematic Review.Frontiers in psychiatry · 2021Pooled it
- Effects of clonidine on MMN and P3a amplitude in schizophrenia patients on stable medication.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019Trial
- Driving Performance in Schizophrenia: The Role of Neurocognitive Correlates-A Systematic Review.Brain sciences · 2025Review
- Advancing treatment response prediction in first-episode psychosis: integrating clinical and electroencephalography features.Psychiatry and clinical neurosciences · 2025Article
- An introduction to Sequential Monte Carlo for Bayesian inference and model comparison-with examples for psychology and behavioral science.Behavior research methods · 2025Article
- Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia?Schizophrenia (Heidelberg, Germany) · 2025Review
- Clustering of antipsychotic-naïve patients with schizophrenia based on functional connectivity from resting-state electroencephalography.European archives of psychiatry and clinical neuroscience · 2023Article
- Relating self-disorders to neurocognitive and psychopathological measures in first-episode schizophrenia.Early intervention in psychiatry · 2022Article
- Abnormal degree centrality in first-episode medication-free adolescent depression at rest: A functional magnetic resonance imaging study and support vector machine analysis.Frontiers in psychiatry · 2022Article
- Article
- Aberrant triple-network connectivity patterns discriminate biotypes of first-episode medication-naive schizophrenia in two large independent cohorts.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Article
- EEG microstate features for schizophrenia classification.PloS one · 2021Article
- A machine-learning framework for robust and reliable prediction of short- and long-term treatment response in initially antipsychotic-naïve schizophrenia patients based on multimodal neuropsychiatric data.Translational psychiatry · 2020Article
- Current challenges and possible future developments in personalized psychiatry with an emphasis on psychotic disorders.Heliyon · 2020Review
- Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies-PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice.Schizophrenia bulletin · 2020Article
- Identification of a Serotonin 2A Receptor Subtype of Schizophrenia Spectrum Disorders With Pimavanserin: The Sub-Sero Proof-of-Concept Trial Protocol.Frontiers in pharmacology · 2020Article
- Accuracy of diagnostic classification algorithms using cognitive-, electrophysiological-, and neuroanatomical data in antipsychotic-naïve schizophrenia patients.Psychological medicine · 2019Article
- The impact of schizophrenia and intelligence on the relationship between age and brain volume.Schizophrenia research. Cognition · 2019Article
- Extended-wavelength diffuse reflectance spectroscopy with a machine-learning method for in vivo tissue classification.PloS one · 2019Article
- Attenuated mismatch negativity in patients with first-episode antipsychotic-naive schizophrenia using a source-resolved method.NeuroImage. Clinical · 2019Article
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Authors and funding
9 authors.
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Abstract
Deficits in information processing and cognition are among the most robust findings in schizophrenia patients. Previous efforts to translate group-level deficits into clinically relevant and individualized information have, however, been non-successful, which is possibly explained by biologically different disease subgroups. We applied machine learning algorithms on measures of electrophysiology and cognition to identify potential subgroups of schizophrenia. Next, we explored subgroup differences regarding treatment response. Sixty-six antipsychotic-naive first-episode schizophrenia patients and sixty-five healthy controls underwent extensive electrophysiological and neurocognitive test batteries. Patients were assessed on the Positive and Negative Syndrome Scale (PANSS) before and after 6 weeks of monotherapy with the relatively selective D
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