Resilience buffers the impact of trauma on autobiographical memory: a text analysis of daily autobiographical narratives

Autobiographical memory plays a central role in behaviour regulation, social connection, and self-continuity, but may become emotionally biased after traumatic experiences. Resilience, defined as the capacity to adapt effectively to stress and adversity, is widely linked to psychological recovery. However, few studies have examined whether resilience can buffer emotional biases in daily autobiographical memory, particularly among trauma-exposed individuals. Therefore, the current study aimed to examine this relationship using ecological momentary assessment (EMA). Seventy-nine participants (mean age = 22.26, 68.4% women) completed the Connor-Davidson Resilience Scale (CD-RISC) and reported autobiographical memories five times daily for seven consecutive days. Emotional valence features were extracted using natural language processing (NLP), including lexical-level features (e.g., negative term frequency) and sentence-level semantic features (e.g., positive sentence ratio). Multilevel modelling showed that while resilience was not associated with lexical-level features, it significantly predicted more positive and fewer negative emotional expressions at the semantic level. Moreover, negative memory entries tended to be followed by similarly negative content in subsequent entries, whereas positive entries did not exhibit such continuity. These results suggest that resilience may serve as a protective factor against the emotional effects of trauma in daily memory recall, offering potential insights for clinical intervention.

Authors

Institutions

Publication Details

Journal
Memory
Published
2025-09-15
DOI
https://doi.org/10.1080/09658211.2025.2555525
Primary Topic
Resilience and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Resilience buffers the impact of trauma on autobiographical memory: a text analysis of daily autobiographical narratives

Shan Zhang, Xinlei Zang, Houchao Lyu
Memory
Resilience and Mental Health
article

Resilience buffers the impact of trauma on autobiographical memory: a text analysis of daily autobiographical narratives

Shan Zhang, Xinlei Zang, Houchao Lyu
article en

Abstract

Autobiographical memory plays a central role in behaviour regulation, social connection, and self-continuity, but may become emotionally biased after traumatic experiences. Resilience, defined as the capacity to adapt effectively to stress and adversity, is widely linked to psychological recovery. However, few studies have examined whether resilience can buffer emotional biases in daily autobiographical memory, particularly among trauma-exposed individuals. Therefore, the current study aimed to examine this relationship using ecological momentary assessment (EMA). Seventy-nine participants (mean age = 22.26, 68.4% women) completed the Connor-Davidson Resilience Scale (CD-RISC) and reported autobiographical memories five times daily for seven consecutive days. Emotional valence features were extracted using natural language processing (NLP), including lexical-level features (e.g., negative term frequency) and sentence-level semantic features (e.g., positive sentence ratio). Multilevel modelling showed that while resilience was not associated with lexical-level features, it significantly predicted more positive and fewer negative emotional expressions at the semantic level. Moreover, negative memory entries tended to be followed by similarly negative content in subsequent entries, whereas positive entries did not exhibit such continuity. These results suggest that resilience may serve as a protective factor against the emotional effects of trauma in daily memory recall, offering potential insights for clinical intervention.

MemoryVol. 33(9)
Southwest University (CN)
Openalex Percentile: Top 65%
Resilience and Mental Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.