Rethinking Group Differences in Psychopathology Networks: A Slow-Fast Perspective on Context and Symptom Activation
Abstract
Groups differing in social and economic circumstances often differ markedly in depressive symptom levels, yet their estimated symptom networks show few clear differences. Such null results are often read as evidence that the groups' symptom systems are the same, but they only show that no difference was detected in how symptoms interact. How readily symptoms become present, and how this depends on the contextual conditions under which they are observed, is rarely compared. Building on a slow-fast perspective, we treat depressive symptoms as a relatively fast-changing system embedded in more persistent social, economic, psychosocial, health, and lifestyle conditions that shape symptom activation. Using a cohort of 23,689 adults from Amsterdam, we illustrate this with PHQ-9 depressive symptoms and a composite index of persistent socioeconomic, psychosocial, and health-related conditions, which we call Slow Risk Load (SRL). Participants with high SRL had substantially higher symptom levels than those with low SRL. A standard Network Comparison Test detected no overall difference in network structure, although global strength was modestly higher in the high-SRL group. Ising models, which separate how symptoms co-occur from how readily each becomes present, indicate higher activation under high SRL for eight of nine symptoms, and model comparison consistently favored group-specific activation over group-specific interactions. The slow-fast perspective reframes group network comparisons as a multiple-timescale problem in which network structure, symptom activation, and context should be considered jointly. It places symptom-focused and context-focused interventions at different layers of the same coupled system rather than in competition.
Related
- Optimal Initialization Scale for Neural Networks with Locally Quadratic Loss Landscapes: An SGD Dynamics Perspective
- Silent Alignment in Two-Layer Linear Networks: A High-Dimensional Perspective
- Activation-Matched Gibbs Initialization for Neural Networks
- An Elaborated Model of Youth Externalizing Psychopathology
- Rethinking Representation Geometry in Supervised Contrastive Learning under Long-Tailed Data
BibTeX
@misc{park2026rethinking,
title = {{Rethinking Group Differences in Psychopathology Networks: A Slow-Fast Perspective on Context and Symptom Activation}},
author = {Kyuri Park and Denny Borsboom and Mike Lees and Leonie Elsenburg and Gaby Lunansky and Karien Stronks and Johan Bollen and Mary Nicolaou and Vítor V. Vasconcelos},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.33736},
eprint = {2609.33736},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.33736},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Rethinking Group Differences in Psychopathology Networks: A Slow-Fast Perspective on Context and Symptom Activation
AU - Kyuri Park
AU - Denny Borsboom
AU - Mike Lees
AU - Leonie Elsenburg
AU - Gaby Lunansky
AU - Karien Stronks
AU - Johan Bollen
AU - Mary Nicolaou
AU - Vítor V. Vasconcelos
PY - 2026
DA - 2026/09/27
PB - arXiv
DO - 10.48550/arxiv.2609.33736
UR - https://arxiv.org/abs/2609.33736
AB - Groups differing in social and economic circumstances often differ markedly in depressive symptom levels, yet their estimated symptom networks show few clear differences. Such null results are often read as evidence that the groups' symptom systems are the same, but they only show that no difference was detected in how symptoms interact. How readily symptoms become present, and how this depends on the contextual conditions under which they are observed, is rarely compared. Building on a slow-fast perspective, we treat depressive symptoms as a relatively fast-changing system embedded in more persistent social, economic, psychosocial, health, and lifestyle conditions that shape symptom activation. Using a cohort of 23,689 adults from Amsterdam, we illustrate this with PHQ-9 depressive symptoms and a composite index of persistent socioeconomic, psychosocial, and health-related conditions, which we call Slow Risk Load (SRL). Participants with high SRL had substantially higher symptom levels than those with low SRL. A standard Network Comparison Test detected no overall difference in network structure, although global strength was modestly higher in the high-SRL group. Ising models, which separate how symptoms co-occur from how readily each becomes present, indicate higher activation under high SRL for eight of nine symptoms, and model comparison consistently favored group-specific activation over group-specific interactions. The slow-fast perspective reframes group network comparisons as a multiple-timescale problem in which network structure, symptom activation, and context should be considered jointly. It places symptom-focused and context-focused interventions at different layers of the same coupled system rather than in competition.
ER -