Natural language processing for mental health interventions: a systematic review and research framework
Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …
Automated analysis of speech as a marker of sub-clinical psychotic experiences
Automated speech analysis techniques, when combined with artificial intelligence and
machine learning, show potential in capturing and predicting a wide range of psychosis …
machine learning, show potential in capturing and predicting a wide range of psychosis …
Language network self-inhibition and semantic similarity in first-episode schizophrenia: a computational-linguistic and effective connectivity approach
Introduction A central feature of schizophrenia is the disorganization and impoverishment of
language. Recently, we observed higher semantic similarity in first-episode-schizophrenia …
language. Recently, we observed higher semantic similarity in first-episode-schizophrenia …
Phenomenology as a resource for translational research in mental health: methodological trends, challenges and new directions
This editorial reflects on current methodological trends in translational research in mental
health. It aims to build a bridge between two fields that are frequently siloed off from each …
health. It aims to build a bridge between two fields that are frequently siloed off from each …
Widespread cortical thinning, excessive glutamate and impaired linguistic functioning in schizophrenia: A cluster analytic approach
Introduction Symptoms of schizophrenia are closely related to aberrant language
comprehension and production. Macroscopic brain changes seen in some patients with …
comprehension and production. Macroscopic brain changes seen in some patients with …
[HTML][HTML] The 'L-factor': Language as a transdiagnostic dimension in psychopathology
W Hinzen, L Palaniyappan - Progress in Neuro-Psychopharmacology and …, 2024 - Elsevier
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 …
of this dynamics diverges in clinical directions, the possible pathways involved are captured …
Studying psychosis using Natural Language Generation: A review of emerging opportunities
Disrupted language in psychotic disorders, such as schizophrenia, can manifest as false
contents and formal deviations, often described as thought disorder. These features play a …
contents and formal deviations, often described as thought disorder. These features play a …
Speech based natural language profile before, during and after the onset of psychosis: A cluster analysis
Abstract Background and Hypothesis Speech markers are digitally acquired,
computationally derived, quantifiable set of measures that reflect the state of neurocognitive …
computationally derived, quantifiable set of measures that reflect the state of neurocognitive …
[HTML][HTML] Theory-driven analysis of natural language processing measures of thought disorder using generative language modeling
Background Natural language processing (NLP) holds promise to transform psychiatric
research and practice. A pertinent example is the success of NLP in the automatic detection …
research and practice. A pertinent example is the success of NLP in the automatic detection …
Semantic speech networks linked to formal thought disorder in early psychosis
Abstract Background and Hypothesis Mapping a patient's speech as a network has proved
to be a useful way of understanding formal thought disorder in psychosis. However, to date …
to be a useful way of understanding formal thought disorder in psychosis. However, to date …