Related Experiment Video
Updated: Jul 9, 2026
12:55
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
Published on: September 27, 2020
A multidimensional normative framework for fine-grained social cognition assessment with the BCS-Greco
Arthur Trognon1, Nami Koïdé2, Natacha Stortini2,3
1CLINICOG, Nancy, France. arthur.trognon@clinicog.fr.
BMC Psychology
|July 7, 2026
Summary
A new framework for social cognition assessment enhances clinical analysis by detailing performance in facial emotion recognition and theory of mind. This approach identifies specific deficits, improving diagnostic precision for neurological and psychiatric conditions.
Area of Science:
- Neuroscience
- Psychology
- Cognitive Science
Background:
- Current social cognition assessments often provide global scores, masking individual differences in subcomponents.
- A need exists for fine-grained analysis of social cognition, including facial emotion recognition (FER), mental state inference, and theory of mind (ToM).
Purpose of the Study:
- To introduce a multilevel interpretive framework for the Social Cognition Battery (BCS-Greco).
- To enable detailed analysis of FER, mental state inference, and ToM reasoning.
- To establish normative benchmarks for enhanced clinical utility.
Main Methods:
- Utilized normative samples of healthy French-speaking adults (ages 20-69).
- Employed FER/IDEMO, Reading the Mind in the Eyes Test (RMET), and ToM tasks (belief attribution, faux pas recognition).
- Applied data-driven stratification for age and sex effects, analyzing emotion-specific accuracy, performance profiles, misattribution patterns, response latencies, and ToM subcomponents.
Main Results:
- Age-related decline observed in anger and fear recognition; joy and disgust showed ceiling effects.
- Nonlinear age trajectories in response times, with adults aged 50-59 exhibiting longer latencies.
- Older adults (60+) showed elevated misattribution rates; ToM performance was stable across age groups but differentiated by inferential order and cognitive dimension.
Conclusions:
- The multidimensional framework offers normative benchmarks for improved clinical interpretation.
- Enables identification of emotion-specific performance profiles and processing efficiency variations.
- Enhances diagnostic precision for neurological and psychiatric populations by characterizing systematic error patterns.
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