{"doi":"10.1111/jon.70075","title":"High Multiband Acceleration Degrades Resting‐State Functional MRI Reliability and Signal Quality Under Anesthesia","abstract":"BACKGROUND AND PURPOSE: Resting-state fMRI (rs-fMRI) is increasingly used to map brain networks in patients under anesthesia, but technical factors can affect its utility. We evaluated the effects of sevoflurane, multiband acceleration, and scan duration on rs-fMRI signal quality and within-subject reliability under anesthesia. METHODS: We retrospectively analyzed 64 clinical rs-fMRI scans acquired under anesthesia, with or without sevoflurane and multiband factor 5 acceleration. Temporal signal-to-noise ratio (tSNR) was used as a measure of signal quality. For each patient, the scan was split in half, and seed-based connectivity maps were generated for the primary motor cortex (M1), posterior cingulate cortex (PCC), and subgenual anterior cingulate cortex (sgACC). Split-half spatial correlations were used to assess within-subject reliability. Group comparisons examined differences in tSNR and reliability across conditions, and correlations with scan duration were tested. RESULTS: ) and reduced split-half reliability for M1 (p = 0.019), PCC (p = 0.010), and sgACC (p = 0.0064). Sevoflurane showed no significant effect on tSNR or reliability. Longer scan duration correlated with improved reliability for M1 (r = 0.38, p = 0.003) but not for PCC or sgACC. No correlation was found between tSNR and reliability. CONCLUSION: Hight multiband acceleration reduces both signal quality and reliability of rs-fMRI under anesthesia. Sevoflurane had no measurable effect. The lack of correlation between tSNR and reliability underscores the need for more robust metrics when evaluating scan quality.","journal":"Journal of Neuroimaging","year":2025,"id":573149,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9397,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":752614,"name":"Alyssa Ailion","orcid":"0000-0001-8974-4169","position":1,"is_corresponding":false},{"id":291219,"name":"Simon K. Warfield","orcid":"0000-0002-7659-3880","position":2,"is_corresponding":false},{"id":895348,"name":"Taha Gholipour","orcid":"0000-0002-8751-0593","position":3,"is_corresponding":false},{"id":230803,"name":"Shan H. Siddiqi","orcid":"0000-0002-0967-9289","position":4,"is_corresponding":false},{"id":696630,"name":"Steven M. Stufflebeam","orcid":"0000-0002-7011-5212","position":5,"is_corresponding":false},{"id":1115398,"name":"Elmira Hassanzadeh","orcid":"0000-0003-4460-698X","position":6,"is_corresponding":false},{"id":1115866,"name":"Masoud Hassanzadeh","orcid":null,"position":0,"is_corresponding":true}],"reference_count":25,"raw_metadata":null,"created_at":"2026-07-19T02:57:32.445190Z","pmid":"40848013","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":[]}