{"doi":"10.1002/brb3.2077","title":"Estimating longitudinal depressive symptoms from smartphone data in a transdiagnostic cohort","abstract":"BACKGROUND: Passive measures collected using smartphones have been suggested to represent efficient proxies for depression severity, but the performance of such measures across diagnoses has not been studied. METHODS: We enrolled a cohort of 45 individuals (11 with major depressive disorder, 11 with bipolar disorder, 11 with schizophrenia or schizoaffective disorder, and 12 individuals with no axis I psychiatric disorder). During the 8-week study period, participants were evaluated with a rater-administered Montgomery-Åsberg Depression Rating Scale (MADRS) biweekly, completed self-report PHQ-8 measures weekly on their smartphone, and consented to collection of smartphone-based GPS and accelerometer data in order to learn about their behaviors. We utilized linear mixed models to predict depression severity on the basis of phone-based PHQ-8 and passive measures. RESULTS: Among the 45 individuals, 38 (84%) completed the 8-week study. The average root-mean-squared error (RMSE) in predicting the MADRS score (scale 0-60) was 4.72 using passive data alone, 4.27 using self-report measures alone, and 4.30 using both. CONCLUSIONS: While passive measures did not improve MADRS score prediction in our cross-disorder study, they may capture behavioral phenotypes that cannot be measured objectively, granularly, or over long-term via self-report.","journal":"Brain and Behavior","year":2022,"id":250969,"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":25,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.6265,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":362342,"name":"Emily J. Huang","orcid":"0000-0003-1964-5231","position":1,"is_corresponding":false},{"id":893729,"name":"Patrick Staples","orcid":"0000-0001-6215-7343","position":2,"is_corresponding":false},{"id":513509,"name":"Kamber L. Hart","orcid":"0000-0002-0168-645X","position":3,"is_corresponding":false},{"id":893730,"name":"Jeanette Lorme","orcid":"0000-0003-3083-122X","position":4,"is_corresponding":false},{"id":471929,"name":"Hannah E. Brown","orcid":"0000-0002-8365-379X","position":5,"is_corresponding":false},{"id":254136,"name":"Roy H. Perlis","orcid":"0000-0002-5862-6757","position":6,"is_corresponding":false},{"id":894400,"name":"Jukka‐Pekka J. Onnela","orcid":null,"position":7,"is_corresponding":false},{"id":893728,"name":"Amelia M. Pellegrini","orcid":"0000-0001-9312-7673","position":0,"is_corresponding":true}],"reference_count":36,"raw_metadata":null,"created_at":"2026-07-19T00:24:37.429628Z","pmid":"35076166","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":[]}