Nikolaos Koutsouleris

Biographic Data

ID7372217
NAMENikolaos Koutsouleris
GIVEN NAMESNikolaos
FAMILY NAMEKoutsouleris
SIGNATUREKOUTSOULERIS N
AFFILIATIONSMax Planck Institute of Psychiatry
ORCID0000-0001-6825-6262
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS0
WORKS AS AUTHOR9
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Exploring the predictive value of structural covariance networks for the diagnosis of schizophrenia

    Open AccessClara Vetter, Clara S Vetter et al.ARTICLEFrontiers in Psychiatry2025

    These patterns of results show that different SCN computation approaches capture different aspects of the disease. While REF-SCNs contain valuable information for discriminating schizophrenia from healthy control individuals, KLS-SCNs may capture more nuanced symptom-level characteristics similar to those captured by PCA of regional GMV

  • Patterns of risk—Using machine learning and structural neuroimaging to identify pedophilic offenders

    Open AccessDavid Popovic, Maximilian Wertz et al.ARTICLEFrontiers in Psychiatry2023

    Aberrant white matter microstructure in the prefronto-temporo-limbic circuit could be a potential neurobiological correlate for PO individuals at high-risk of reoffending with CSA. Although preliminary and exploratory at this point, our findings highlight the general potential of MRI-based biomarkers and particularly WM microstructure patterns for future CSA risk assessment and preventive efforts

  • The heterogeneity of attenuated and brief limited psychotic symptoms

    Open AccessChristian Theisen, Marlene Rosen et al.ARTICLEFrontiers in Psychiatry2023

    Psychosis-risk patients report a wide range of different contents of APS/BIPS, underlining the psychopathological heterogeneity of this group but also revealing a potential core set of contents. Compared to earlier reports on North-American samples, our maximum prevalence rates of contents were considerably lower; this likely being related to a stricter rating of APS/BIPS and cultural influences, in particular, higher schizotypy reported in North…

  • Automated extraction of speech and turn-taking parameters in autism allows for diagnostic classification using a multivariable prediction model

    Open AccessIrene Sophia Plank, Jana Christina Koehler et al.ARTICLEFrontiers in Psychiatry2023

    Autism spectrum disorder (ASD) is diagnosed on the basis of speech and communication differences, amongst other symptoms. Since conversations are essential for building connections with others, it is important to understand the exact nature of differences between autistic and non-autistic verbal behaviour and evaluate the potential of these differences for diagnostics. In this study, we recorded dyadic conversations and used automated extraction …

  • Annual Research Review

    Open AccessDominic B Dwyer, Dominic Dwyer et al.ARTICLEJournal of Child Psychology and…2022

    Children and adolescents could benefit from the use of predictive tools that facilitate personalized diagnoses, prognoses, and treatment selection. Such tools have not yet been deployed using traditional statistical methods, potentially due to the limitations of the paradigm and the need to leverage large amounts of digital data. This review will suggest that a machine learning approach could address these challenges and is designed to introduce …

  • Biobanking in everyday clinical practice in psychiatry—The Munich Mental Health Biobank

    Open AccessJános Kálmán, Janos L Kalman et al.ARTICLEFrontiers in Psychiatry2022

    Translational research on complex, multifactorial mental health disorders, such as bipolar disorder, major depressive disorder, schizophrenia, and substance use disorders requires databases with large-scale, harmonized, and integrated real-world and research data. The Munich Mental Health Biobank (MMHB) is a mental health-specific biobank that was established in 2019 to collect, store, connect, and supply such high-quality phenotypic data and bio…

  • Modeling Social Sensory Processing During Social Computerized Cognitive Training for Psychosis Spectrum

    Open AccessLana Kambeitz‐Ilankovic, Lana Kambeitz-Ilankovic et al.ARTICLEFrontiers in Psychiatry2020

    Background: Greater impairments in early sensory processing predict response to auditory computerized cognitive training (CCT) in patients with recent-onset psychosis (ROP). Little is known about neuroimaging predictors of response to social CCT, an experimental treatment that was recently shown to induce cognitive improvements in patients with psychosis. Here, we investigated whether ROP patients show interindividual differences in sensory proce…

  • Basic Symptoms Are Associated With Age in Patients With a Clinical High-Risk State for Psychosis

    Open AccessHelene Walger, Linda A Antonucci et al.ARTICLEFrontiers in Psychiatry2020

    In community studies, both attenuated psychotic symptoms (APS) and basic symptoms (BS) were more frequent but less clinically relevant in children and adolescents compared to adults. In doing so, they displayed differential age thresholds that were around age 16 for APS, around age 18 for perceptive BS, and within the early twenties for cognitive BS. Only the age effect has previously been studied and replicated in clinical samples for APS. Thus,…

  • Machine Learning Approaches for Clinical Psychology and Psychiatry

    Dominic B Dwyer, Peter Falkai et al.ARTICLEAnnual Review of Clinical…2018

    Machine learning approaches for clinical psychology and psychiatry explicitly focus on learning statistical functions from multidimensional data sets to make generalizable predictions about individuals. The goal of this review is to provide an accessible understanding of why this approach is important for future practice given its potential to augment decisions associated with the diagnosis, prognosis, and treatment of people suffering from menta…