{"doi":"10.31234/osf.io/7d2gf","title":"Automating the Analysis of Facial Emotion Dynamics: A Computational Framework and Application in Psychotic Disorders","abstract":"Emotion has wide-ranging links with mental health, political views, and consumer choices. Unfortunately, the assessment of emotion is often limited to cross-sectional subjective reports that are prone to bias and have poor temporal resolution for capturing emotion dynamics over brief timescales. Here, we present a method that overcomes both limitations by using machine learning to quantify emotion expressions and computational network modeling to assess the interplay among emotions. We demonstrate the utility of this approach in a sample of 96 people with psychotic disorders and 116 never-psychotic adults, using video recordings of clinical interviews. Participants with schizophrenia frequently transitioned from an emotionally neutral state to contextually inappropriate emotions (e.g., fear, surprise), whereas participants with other psychoses (e.g., mood disorders with psychosis) transitioned to expressions of sadness. This method has broad applications to study normal and altered emotions and can be integrated with telemedicine to improve psychiatric assessment and treatment.","journal":"PsyArXiv (OSF Preprints)","year":2023,"id":400261,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9466,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":372415,"name":"Michael N. Hallquist","orcid":"0000-0001-5894-8038","position":1,"is_corresponding":false},{"id":609089,"name":"Elizabeth A. Martin","orcid":"0000-0001-8893-1667","position":2,"is_corresponding":false},{"id":677355,"name":"Wenxuan Lian","orcid":null,"position":3,"is_corresponding":false},{"id":343000,"name":"Katherine Jonas","orcid":"0000-0002-1910-223X","position":4,"is_corresponding":false},{"id":343005,"name":"Roman Kotov","orcid":"0000-0001-9569-8381","position":5,"is_corresponding":false},{"id":743435,"name":"Nathan T. Hall","orcid":"0000-0003-4598-8123","position":0,"is_corresponding":true}],"reference_count":70,"raw_metadata":null,"created_at":"2026-07-19T01:20:00.023537Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}