Reconstructing digital phenotyping of psychological distress: integrating visual complexity and linguistic sentiment
- 1Department of Bioregulation and Pharmacological Medicine, Fukushima Medical University School of Medicine
- 2Department of Medical Art Therapy, Fukushima Medical University School of Medicine
- 3DMC Institute for Life Science
Abstract
Objective: Identifying objective behavioral signatures of suicide risk remains a critical challenge. While digital phenotyping tracks emotional dynamics, validating multimodal frameworks requires exceptionally dense, chronological data.
Methods: We utilized the comprehensive historical legacy of Vincent van Gogh as a longitudinal paradigm, integrating fractal dimension (FD) analysis of 388 paintings with VADER-based sentiment analysis of his correspondence across his final five clinical phases (1888–1890).
Results: Results demonstrated a significant progressive escalation of FD during periods of severe psychological instability. Concurrently, negative language sentiment peaked during hospitalization but markedly declined in the final weeks preceding his death. Clinically, this distinct divergence—normalization of linguistic affect despite persistently high creative complexity— may serve as a quantifiable behavioral correlate of “terminal resolve” preceding suicide.
Conclusions: This integration of quantitative visual analysis and natural language processing establishes a reproducible framework for retrospective digital phenotyping and hypothesis-generation for future crisis monitoring models.
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BibTeX
@article{yokooka2026reconstructing,
title = {{Reconstructing digital phenotyping of psychological distress: integrating visual complexity and linguistic sentiment}},
author = {Ran Yokooka and Manabu Suzuki and Hideki Sekine and Seiichi Takenoshita and Shoji Endo and Yuko Maejima and Kenju Shimomura},
journal = {Frontiers in Psychiatry},
year = {2026},
month = nov,
doi = {10.3389/fpsyt.2026.1946175},
url = {https://www.frontiersin.org/articles/10.3389/fpsyt.2026.1946175/full},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Reconstructing digital phenotyping of psychological distress: integrating visual complexity and linguistic sentiment
AU - Ran Yokooka
AU - Manabu Suzuki
AU - Hideki Sekine
AU - Seiichi Takenoshita
AU - Shoji Endo
AU - Yuko Maejima
AU - Kenju Shimomura
PY - 2026
DA - 2026/11/02
JO - Frontiers in Psychiatry
DO - 10.3389/fpsyt.2026.1946175
UR - https://www.frontiersin.org/articles/10.3389/fpsyt.2026.1946175/full
AB - Objective: Identifying objective behavioral signatures of suicide risk remains a critical challenge. While digital phenotyping tracks emotional dynamics, validating multimodal frameworks requires exceptionally dense, chronological data. Methods: We utilized the comprehensive historical legacy of Vincent van Gogh as a longitudinal paradigm, integrating fractal dimension (FD) analysis of 388 paintings with VADER-based sentiment analysis of his correspondence across his final five clinical phases (1888–1890). Results: Results demonstrated a significant progressive escalation of FD during periods of severe psychological instability. Concurrently, negative language sentiment peaked during hospitalization but markedly declined in the final weeks preceding his death. Clinically, this distinct divergence—normalization of linguistic affect despite persistently high creative complexity— may serve as a quantifiable behavioral correlate of “terminal resolve” preceding suicide. Conclusions: This integration of quantitative visual analysis and natural language processing establishes a reproducible framework for retrospective digital phenotyping and hypothesis-generation for future crisis monitoring models.
SN - 1664-0640
ER -