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Peer-reviewedCC BY-NC-NDTranslational psychiatry

Temporal elements of speech in mania.

  • Jeremiah B Joyce1,2
  • Ivan N Ayala3
  • Sanjeev Mishra4
  • George Chatzisofroniou5
  • Erik Clemens6
  • Hang Yu6
  • Tyler Kendall7
  • Zachi Attia8
  • Baihan Lin9
  • Mark A Frye3
9 affiliations
  1. 1Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA. [email protected].
  2. 2Clinician Investigator Training Program, Mayo Clinic, Rochester, MN, USA. [email protected].
  3. 3Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.
  4. 4Mayo Clinic Alix School of Medicine, Rochester, MN, USA.
  5. 5School of Psychology, Louisiana State University, Baton Rouge, LA, USA.
  6. 6Division of Engineering, Mayo Clinic, Rochester, MN, USA.
  7. 7Department of Linguistics, University of Oregon, Eugene, OR, USA.
  8. 8Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA.
  9. 9Departments of Artificial Intelligence and Human Health, Neuroscience, and Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
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Abstract

Computational analysis of speech enables precise, objective measurements of a behavioral signal closely linked to manic episodes. In a prospective cohort study conducted in Rochester, MN (ClinicalTrials.gov Identifier: NCT05956340), eighteen English-speaking adults voluntarily hospitalized for a manic episode of Bipolar I Disorder between August 2023 and September 2024 were enrolled. Participants completed semi-structured research interviews during both acute episodes and remission, with manic symptom severity assessed at each session using the Young Mania Rating Scale (YMRS). Across 57 recorded interviews, temporal prosodic features were extracted using a novel end-to-end computational pipeline. After adjusting for individual differences and moderating effects, participant articulation rate (β = 0.24, p = 0.0038), speech rate variability (β = 0.23, p = 0.0041), floor transfer offset (β = -0.31, p = 0.007), and speaking duration (β = 0.54, p < 0.001) were significantly associated with manic symptom severity. These exploratory findings were largely independent of medication effects, as well as the presence of psychotic or mixed symptoms. These temporal elements classified manic (CV AUC = 0.85) and remission (CV AUC = 0.83) status, highlighting their potential as monitoring biomarkers for manic episodes.

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Cite

BibTeXRIS
BibTeX
@article{joyce2026temporal,
  title = {{Temporal elements of speech in mania.}},
  author = {Jeremiah B Joyce and Ivan N Ayala and Sanjeev Mishra and George Chatzisofroniou and Erik Clemens and Hang Yu and Tyler Kendall and Zachi Attia and Baihan Lin and Mark A Frye},
  journal = {Translational psychiatry},
  year = {2026},
  month = aug,
  doi = {10.1038/s41398-026-04329-3},
  url = {https://europepmc.org/article/MED/42957656},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Temporal elements of speech in mania.
AU  - Jeremiah B Joyce
AU  - Ivan N Ayala
AU  - Sanjeev Mishra
AU  - George Chatzisofroniou
AU  - Erik Clemens
AU  - Hang Yu
AU  - Tyler Kendall
AU  - Zachi Attia
AU  - Baihan Lin
AU  - Mark A Frye
PY  - 2026
DA  - 2026/08/03
JO  - Translational psychiatry
DO  - 10.1038/s41398-026-04329-3
UR  - https://europepmc.org/article/MED/42957656
AB  - Computational analysis of speech enables precise, objective measurements of a behavioral signal closely linked to manic episodes. In a prospective cohort study conducted in Rochester, MN (ClinicalTrials.gov Identifier: NCT05956340), eighteen English-speaking adults voluntarily hospitalized for a manic episode of Bipolar I Disorder between August 2023 and September 2024 were enrolled. Participants completed semi-structured research interviews during both acute episodes and remission, with manic symptom severity assessed at each session using the Young Mania Rating Scale (YMRS). Across 57 recorded interviews, temporal prosodic features were extracted using a novel end-to-end computational pipeline. After adjusting for individual differences and moderating effects, participant articulation rate (β = 0.24, p = 0.0038), speech rate variability (β = 0.23, p = 0.0041), floor transfer offset (β = -0.31, p = 0.007), and speaking duration (β = 0.54, p < 0.001) were significantly associated with manic symptom severity. These exploratory findings were largely independent of medication effects, as well as the presence of psychotic or mixed symptoms. These temporal elements classified manic (CV AUC = 0.85) and remission (CV AUC = 0.83) status, highlighting their potential as monitoring biomarkers for manic episodes.
SN  - 2158-3188
ER  -