{"doi":"10.1002/mrm.29154","title":"Event‐recurring multiband SWIFT functional MRI with 200‐ms temporal resolution during deep brain stimulation and isoflurane‐induced burst suppression in rat","abstract":"PURPOSE: To develop a high temporal resolution functional MRI method for tracking repeating events in the brain. METHODS: We developed a novel functional MRI method using multiband sweep imaging with Fourier transformation (SWIFT), termed event-recurring SWIFT (EVER-SWIFT). The method is able to image similar repeating events with subsecond temporal resolution. Here, we demonstrate the use of EVER-SWIFT for detecting functional MRI responses during deep brain stimulation of the medial septal nucleus and during spontaneous isoflurane-induced burst suppression in the rat brain at 9.4 T with 200-ms temporal resolution. RESULTS: The EVER-SWIFT approach showed that the shapes and time-to-peak values of the response curves to deep brain stimulation significantly differed between downstream brain regions connected to the medial septal nucleus, resembling findings obtained with traditional 2-second temporal resolution. In contrast, EVER-SWIFT allowed for detailed temporal measurement of a spontaneous isoflurane-induced bursting activity pattern, which was not achieved with traditional temporal resolution. CONCLUSION: The EVER-SWIFT technique enables subsecond 3D imaging of both stimulated and spontaneously recurring brain activities, and thus holds great potential for studying the mechanisms of neuromodulation and spontaneous brain activity.","journal":"Magnetic Resonance in Medicine","year":2022,"id":265641,"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":10,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9512,"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":731484,"name":"Jaakko Paasonen","orcid":"0000-0002-1529-596X","position":1,"is_corresponding":false},{"id":410792,"name":"Lauri J. Lehto","orcid":null,"position":2,"is_corresponding":false},{"id":828164,"name":"Tiina Pirttimäki","orcid":null,"position":3,"is_corresponding":false},{"id":731483,"name":"Hanne Laakso","orcid":"0000-0003-1142-9008","position":4,"is_corresponding":false},{"id":426003,"name":"Lin Wu","orcid":"0000-0001-7449-9922","position":5,"is_corresponding":false},{"id":344537,"name":"Jun Ma","orcid":"0000-0003-0427-8205","position":6,"is_corresponding":false},{"id":443340,"name":"Djaudat Idiyatullin","orcid":"0000-0002-0942-3208","position":7,"is_corresponding":false},{"id":426006,"name":"Heikki Tanila","orcid":"0000-0001-8579-7562","position":8,"is_corresponding":false},{"id":410077,"name":"Silvia Mangia","orcid":"0000-0001-6341-4516","position":9,"is_corresponding":false},{"id":410078,"name":"Shalom Michaeli","orcid":"0000-0001-5426-8369","position":10,"is_corresponding":false},{"id":426005,"name":"Olli Gröhn","orcid":"0000-0003-1372-1651","position":11,"is_corresponding":false},{"id":827778,"name":"Ekaterina Paasonen","orcid":"0000-0003-2365-865X","position":0,"is_corresponding":true}],"reference_count":40,"raw_metadata":null,"created_at":"2026-07-19T00:26:49.862989Z","pmid":"34985145","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":[]}