{"doi":"10.1177/19714009221122171","title":"Enhanced clinical task-based fMRI metrics through locally low-rank denoising of complex-valued data","abstract":"Objective This study investigates a locally low-rank (LLR) denoising algorithm applied to source images from a clinical task-based functional MRI (fMRI) exam before post-processing for improving statistical confidence of task-based activation maps. Methods Task-based motor and language fMRI was obtained in eleven healthy volunteers under an IRB approved protocol. LLR denoising was then applied to raw complex-valued image data before fMRI processing. Activation maps generated from conventional non-denoised (control) data were compared with maps derived from LLR-denoised image data. Four board-certified neuroradiologists completed consensus assessment of activation maps; region-specific and aggregate motor and language consensus thresholds were then compared with nonparametric statistical tests. Additional evaluation included retrospective truncation of exam data without and with LLR denoising; a ROI-based analysis tracked t-statistics and temporal SNR (tSNR) as scan durations decreased. A test-retest assessment was performed; retest data were matched with initial test data and compared for one subject. Results fMRI activation maps generated from LLR-denoised data predominantly exhibited statistically significant ( p = 4.88×10 –4 to p = 0.042; one p = 0.062) increases in consensus t-statistic thresholds for motor and language activation maps. Following data truncation, LLR data showed task-specific increases in t-statistics and tSNR respectively exceeding 20 and 50% compared to control. LLR denoising enabled truncation of exam durations while preserving cluster volumes at fixed thresholds. Test-retest showed variable activation with LLR data thresholded higher in matching initial test data. Conclusion LLR denoising affords robust increases in t-statistics on fMRI activation maps compared to routine processing, and offers potential for reduced scan duration while preserving map quality.","journal":"The Neuroradiology Journal","year":2022,"id":287647,"datarank":0.20794415416798362,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"self_citation_contribution":0.20794415416798362,"citation_network_contribution":0.0,"self_endowment_contribution":0.20794415416798362,"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":0.9259,"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":432233,"name":"Daehun Kang","orcid":"0000-0003-3792-3303","position":1,"is_corresponding":false},{"id":967682,"name":"David F. Black","orcid":"0000-0003-3528-435X","position":2,"is_corresponding":false},{"id":414063,"name":"Norbert G. Campeau","orcid":"0000-0002-0688-5781","position":3,"is_corresponding":false},{"id":967683,"name":"Kirk M. Welker","orcid":"0000-0003-1293-2887","position":4,"is_corresponding":false},{"id":433211,"name":"Erin M. Gray","orcid":null,"position":5,"is_corresponding":false},{"id":432234,"name":"Myung‐Ho In","orcid":"0000-0001-8001-6237","position":6,"is_corresponding":false},{"id":432238,"name":"Yunhong Shu","orcid":"0000-0002-7521-9088","position":7,"is_corresponding":false},{"id":381140,"name":"John Huston","orcid":"0000-0003-0584-9460","position":8,"is_corresponding":false},{"id":226056,"name":"Matt A. Bernstein","orcid":"0000-0003-3770-0441","position":9,"is_corresponding":false},{"id":253784,"name":"Joshua D. Trzasko","orcid":"0000-0001-8180-5449","position":10,"is_corresponding":false},{"id":432236,"name":"Nolan Meyer","orcid":"0000-0003-3566-896X","position":0,"is_corresponding":true}],"reference_count":86,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T00:30:01.051685Z","pmid":"36063799","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":[]}