AIMC Topic: Stress Disorders, Post-Traumatic
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Sleep disturbances and PTSD: identifying baseline predictors of insomnia response in an intensive treatment programme.
European journal of psychotraumatology
Jun 23, 2025
This study examined whether baseline demographic and clinical variables could predict clinically significant reductions in insomnia symptoms among veterans receiving a 2-week Cognitive Processing Therapy (CPT)-based intensive PTSD treatment programm...
"Calming the nightmares": A qualitative study of a socially assistive robot for sensory and emotional support in individuals with eating disorders and PTSD.
PloS one
Jun 6, 2025
Individuals with eating disorders (ED) and co-occurring post-traumatic stress disorder (PTSD) often face difficulties with sensory overload and emotion regulation (ER), which can make treatment more complex. Assistive devices that offer real-time sup...
Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder: a machine learning approach to predict long-term outcome of Narrative Exposure Therapy vs. Dialectical Behavioral Therapy based treatment.
European journal of psychotraumatology
May 7, 2025
: A comorbidity between Borderline Personality Disorder (BPD) and Posttraumatic Stress Disorder (PTSD) is common, severely disabling, and hard to treat. The choice of an optimal psychotherapy based on patient characteristics remains challenging. This...
Brain circuits that regulate social behavior.
Molecular psychiatry
Apr 26, 2025
Social interactions are essential for the survival of individuals and the reproduction of populations. Social stressors, such as social defeat and isolation, can lead to emotional disorders and cognitive impairments. Furthermore, dysfunctional social...
Day-to-day dynamics of facial emotion expressions in posttraumatic stress disorder.
Journal of affective disorders
Mar 21, 2025
Facial expressions are an essential component of emotions that may reveal mechanisms maintaining posttraumatic stress disorder (PTSD). However, most research on emotions in PTSD has relied on self-reports, which only capture subjective affect. The fe...
Using machine learning methods to predict the outcome of psychological therapies for post-traumatic stress disorder: A systematic review.
Journal of anxiety disorders
Mar 11, 2025
BACKGROUND: A number of treatments are available for post-traumatic stress disorder (PTSD), however, there is currently a lack of data-driven treatment selection and adaptation methods for this condition. Machine learning (ML) could potentially help ...
Assessment of PTSD in military personnel via machine learning based on physiological habituation in a virtual immersive environment.
Scientific reports
Mar 4, 2025
Posttraumatic stress disorder (PTSD) is a complex mental health condition triggered by exposure to traumatic events that leads to physical health problems and socioeconomic impairments. Although the complex symptomatology of PTSD makes diagnosis diff...
Using explainable machine learning to investigate the relationship between childhood maltreatment, positive psychological traits, and CPTSD symptoms.
European journal of psychotraumatology
Feb 26, 2025
The functional impairment resulting from CPTSD symptoms is enduring and far-reaching. Existing research has found that CPTSD symptoms are closely associated with childhood maltreatment; however, researchers debate whether CPTSD symptoms are predomin...
Predicting PTSD development with early post-trauma assessments: a proof-of-concept for a concise tree-based classification method.
European journal of psychotraumatology
Feb 18, 2025
Approximately 70% of individuals globally experience at least one traumatic event in their lifetimes, potentially leading to posttraumatic stress disorder (PTSD). Understanding the development of PTSD and devising effective prevention and treatment ...
Mental health phenotypes of well-controlled HIV in Uganda.
Frontiers in public health
Jan 28, 2025
INTRODUCTION: The phenotypic expression of mental health (MH) conditions among people with HIV (PWH) in Uganda and worldwide are heterogeneous. Accordingly, there has been a shift toward identifying MH phenotypes using data-driven methods capable of ...
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