Automated Speech-Based Modeling of Item-Level Symptom Severity in Schizophrenia - Takeaways - MDSpire

Automated Speech-Based Modeling of Item-Level Symptom Severity in Schizophrenia

  • By

  • Silvia Ciampelli

  • Janna N. de Boer

  • Sanne Koops

  • Evan Troelstra

  • Almut Jebens

  • Jan-Bernard C. Marsman

  • Arnout C. Smit

  • Amir Hossein Nikzad

  • Ryan Partlan

  • Philipp Homan

  • Wolfram Hinzen

  • Sunny X. Tang

  • Iris E. C. Sommer

  • June 25, 2026

  • 0 min

Share

  • 1

    Speech serves as a primary medium for patients to express mental states and for clinicians to assess symptoms in psychiatry.

  • 2

    Automated speech recognition and natural language processing enable scalable monitoring of speech changes to detect early signs of relapse in psychosis.

  • 3

    This study evaluated the association between speech samples and psychotic symptom severity using the PANSS and BPRS scales in Dutch and US cohorts.

  • 4

    A total of 160 features were extracted from Dutch speech samples, while 138 features were extracted from US samples for analysis.

  • 5

    Principal component analyses were conducted to reduce dimensionality of speech features, which were then tested against symptom scores using mixed-effects models.

Original Source(s)

Automated Speech-Based Modeling of Item-Level Symptom Severity in Schizophrenia

  • by Silvia Ciampelli, Janna N. de Boer, Sanne Koops, Evan Troelstra, Almut Jebens, Jan-Bernard C. Marsman, Arnout C. Smit, Amir Hossein Nikzad, Ryan Partlan, Philipp Homan, Wolfram Hinzen, Sunny X. Tang, Iris E. C. Sommer

  • June 25, 2026

Related Content

Quantitative electroencephalography as a potential neurophysiological diagnostic biomarker of schizophrenia and first-episode psychosis: a systematic review of clinical implications

Psychosis in Adolescence: Clinical and Neurocognitive Perspectives

This Neuroscience Grand Rounds session, led by Yasaman Movahedi and Deanna Aghbashian, explores psychosis in adolescence through both clinical and neurocognitive lenses, emphasizing early recognition and multidisciplinary management.

  • June 19, 2026

  • 1 min
Sense of Coherence in patients with stable schizophrenia: multidimensional determinants from a cross-sectional study of 438 inpatients in Guangzhou, China