The challenges of implementing hybrid baselines for the interpretation of longitudinal behavioral data from individuals
Sandra Anna Just, Enrico Tedeschi, Einar Holsbø, Karl Øyvind Mikalsen, Lars Ailo Bongo, Philipp Homan & Brita Elvevåg | Published: 22 April 2026 Establishing whether observed behavioral differences reflect meaningful change in an individual necessitates baselines specific to the individual and task. Automated hybrid solutions combine adaptive baselines with fixed thresholds. Applying this approach to behavioral science harbors […]
The global economic burden of schizophrenia: an umbrella review of systematic reviews and meta-analyses with reconstructed primary-study cost data
Attila Imre, Ágota Mészáros, Bertalan Németh, Balázs Nagy, Judit Józwiak-Hagymásy, Giacomo Cecere, Philipp Homan, Iris E. C. Sommer & Balázs Babarczy Published: 27 March 2026 Background Existing studies on the economic impact of schizophrenia are fragmented and vary in methodology, hindering an ample understanding of the total economic burden. Aims To quantify the global economic burden of schizophrenia […]
Prompt Engineering an Informational Chatbot for Education on Mental Health Using a Multiagent Approach for Enhanced Compliance With Prompt Instructions: Algorithm Development and Validation
Background:People with schizophrenia often present with cognitive impairments that may hinder their ability to learn about their condition. Education platforms powered by large language models (LLMs) have the potential to improve the accessibility of mental health information. However, the black-box nature of LLMs raises ethical and safety concerns regarding the controllability of chatbots. In particular, […]
Approximating the semantic space: word embedding techniques in psychiatric speech analysis
Large language models provide high-dimensional representations (embeddings) of word meaning, which allow quantifying changes in the geometry of the semantic space in mental disorders. A pattern of a more condensed (‘shrinking’) semantic space marked by an increase in mean semantic similarity between words has been recently documented in psychosis across several languages. We aimed to […]
A single composite index of semantic behavior tracks symptoms of psychosis over time
Semantic variables automatically extracted from spontaneous speech characterize anomalous semantic associations generated by groups with schizophrenia spectrum disorders (SSD). However, with the use of different language models and numerous aspects of semantic associations that could be tracked, the semantic space has become very high-dimensional, challenging both theoretical understanding and practical applications. This study aimed to […]
The ‘L-factor’: Language as a transdiagnostic dimension in psychopathology
Thoughts and moods constituting our mental life incessantly change. When the steady flow of this dynamics diverges in clinical directions, the possible pathways involved are captured through discrete diagnostic labels. Yet a single vulnerable neurocognitive system may be causally involved in psychopathological deviations transdiagnostically. We argue that language viewed as integrating cortical functions is the […]
