Table 1_Momentary predictors of dissociation in functional neurological disorder: an ecolo

Seventeen individuals with functional neurological disorder (FND) and seventeen matched healthy controls provided data via smartphone prompts eight times daily for one week. This pilot study's secondary analysis examined associations between dissociative symptoms, negative affect, subjective arousal, and heart-rate data from wearable devices. The data, authored by Amy Crellin and last updated in April 2026, is shared under a CC-BY-4.0 license.

Use Cases

• Modeling momentary associations between negative affect and dissociative symptoms based on the described EMA items.
• Analyzing the relationship between subjective arousal and dissociative symptom variability as reported in the study results.
• Investigating the role of physiological data (heart-rate) versus subjective emotional states in predicting dissociation.
• Conducting multilevel modeling to examine between-group differences (FND vs. controls) in dissociative experiences.

Strengths

• Includes data from 34 participants (17 with FND, 17 controls) collected over one week.
• Combines ecological momentary assessment (8 prompts/day) with continuous wearable heart-rate monitoring.
• Analysis includes multilevel modeling and time-lagged analyses, as described in the methods.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (24.4 KB), indicating a limited pilot study scope.

Provenance

Source

figshare

Collection Method

Ecological momentary assessment via smartphone prompts and wearable heart-rate monitoring (Fitbit devices).

Time Range

Data collection covered one week per participant.

Freshness

Last updated 2026-04-30 05:41:33; freshness should be verified.