{"doi":"10.1101/2024.12.11.24318815","title":"A Unified Flexible Large Polysomnography Model for Sleep Staging and Brain Disorder Diagnosis","abstract":"Sleep disorders affect billions worldwide, yet clinical polysomnography (PSG) analysis remains hindered by labor-intensive manual scoring and limited generalizability of automated sleep staging tools across heterogeneous protocols. We present LPSGM, a large-scale PSG model designed to address two critical challenges in sleep medicine: cross-center generalization and adaptable diagnosis of neuropsychiatric disorders. Trained on 220,500 hours of multi-center PSG data (24,000 full-night recordings from 16 public datasets), LPSGM integrates domain-adaptive pre-training, flexible channel configurations, and a unified architecture to mitigate variability in equipment, montages, and populations during sleep staging while enabling downstream fine-tuning for mental disorder detection. In prospective validation, LPSGM achieves expert-level consensus in sleep staging (κ = 0.845 ± 0.066 vs. inter-expert κ = 0.850 ± 0.102) and matches the performance of fully supervised models on two independent private cohorts. When fine-tuned, it attains 88.01% accuracy in narcolepsy detection and 100% accuracy in identifying major depressive disorder (MDD), highlighting shared physiological biomarkers between sleep architecture and neuropsychiatric symptoms. By bridging automated sleep staging with real-world clinical deployment, LPSGM establishes a scalable, data-efficient framework for integrated sleep and mental health diagnostics. The code and pre-trained model are publicly available at https://github.com/Deng-GuiFeng/LPSGM to advance reproducibility and translational research in sleep medicine.","journal":"medRxiv","year":2024,"id":487565,"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":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9262,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1332294,"name":"Mengfan Niu","orcid":null,"position":1,"is_corresponding":false},{"id":1332295,"name":"Shuying Rao","orcid":null,"position":2,"is_corresponding":false},{"id":1331902,"name":"Yuxi Luo","orcid":"0000-0003-3133-0064","position":3,"is_corresponding":false},{"id":1332296,"name":"Jianjia Zhang","orcid":null,"position":4,"is_corresponding":false},{"id":1332297,"name":"Junyi Xie","orcid":null,"position":5,"is_corresponding":false},{"id":1332298,"name":"Zhenghe Yu","orcid":null,"position":6,"is_corresponding":false},{"id":1331903,"name":"Wenjuan Liu","orcid":"0000-0003-0926-4195","position":7,"is_corresponding":false},{"id":394781,"name":"Junhang Zhang","orcid":"0000-0002-7847-3102","position":8,"is_corresponding":false},{"id":1331904,"name":"Sha Zhao","orcid":"0000-0003-4628-5198","position":9,"is_corresponding":false},{"id":244367,"name":"Gang Pan","orcid":"0000-0002-4049-6181","position":10,"is_corresponding":false},{"id":1331905,"name":"Xiaojing Li","orcid":"0000-0002-4757-5333","position":11,"is_corresponding":false},{"id":1331906,"name":"Wei Deng","orcid":"0000-0003-2924-9021","position":12,"is_corresponding":false},{"id":543849,"name":"Wanjun Guo","orcid":"0000-0002-0517-3352","position":13,"is_corresponding":false},{"id":347171,"name":"Yaoyun Zhang","orcid":"0000-0001-9220-3101","position":14,"is_corresponding":false},{"id":605564,"name":"Tao Li","orcid":"0000-0003-3831-901X","position":15,"is_corresponding":false},{"id":344116,"name":"Haiteng Jiang","orcid":"0000-0003-0739-8413","position":16,"is_corresponding":false},{"id":1332293,"name":"Guifeng Deng","orcid":null,"position":0,"is_corresponding":true}],"reference_count":70,"raw_metadata":null,"created_at":"2026-07-19T02:08:10.215754Z","pmid":"39711704","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":[]}