Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Examining the utility of digital phenotyping for the prediction of intrusive experiences.

European journal of psychotraumatology - 1 Dec 2026

Meaney Tomas, Yadav Vijay, Galatzer-Levy Isaac, Bryant Richard

Abstract excerpt

Background: Intrusive experiences related to witnessing a traumatic event are the core symptom of post-traumatic stress disorder (PTSD), and have been shown to be predicted by peritraumatic emotional arousal. However, research into the role of peritraumatic arousal in the development of intrusions has been limited by a reliance on self-report scales.Objective: This study aimed to examine whether facial, focal,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Arousal
Share to Emotions
Share to Longitudinal Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Machine Learning

Share to Phenotype

Share to Self Report

Share to Stress Disorders, Post-Traumatic

Share to Young Adult

Source

Open in PubMed Open full text

Identifiers

PMID: 42089444
DOI: 10.1080/20008066.2026.2646126
PMCID: PMC13151764

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Examining the utility of digital phenotyping for the prediction of intrusive experiences.PMID 42089444Read ↗

The Nova Protocol: A Comprehensive Multimodal Longitudinal Study among Civilian Survivors of a Mass Trauma EventSemantic proximity Read ↗

A Generalizable Speech Emotion Recognition Model Reveals Depression and RemissionSemantic proximity Read ↗

FKBP5 risk alleles and the development of intrusive memories.Semantic proximity Read ↗

Complex relationship between endocannabinoids, fatty acid amide hydrolase, and stress reactivity in human intrusive memories of analogue trauma.Semantic proximity Read ↗

Detection of Major Depressive Disorder, Bipolar Disorder, Schizophrenia and Generalized Anxiety Disorder Using Vocal Acoustic Analysis and Machine LearningSemantic proximity Read ↗

Effectiveness of the level of personal relevance of visual autobiographical stimuli in the induction of positive emotions in young and older adults: Study protocol for a randomized controlled trial.Semantic proximity Read ↗

Machine Learning-Based Audiovisual Phenotyping for Measuring Communication, Shared Decision-Making, and Trust.Semantic proximity Read ↗

Humanizing "multimodal" digital phenotyping of serious mental illness.Semantic proximity Read ↗

Classifying post-traumatic stress disorder using the magnetoencephalographic connectome and machine learningSemantic proximity Read ↗

Generative AI To Recognize Response Fabrication in PTSDSemantic proximity Read ↗

Functional correlates of a novel 8-factor model of PTSD in U.S. military veterans: Results from the National Health and Resilience in Veterans StudySemantic proximity Read ↗

Fear load: The psychophysiological over-expression of fear as an intermediate phenotype associated with trauma reactions.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.