{"doi":"10.1111/jon.70029","title":"Myelin Quantification Using Ultrashort Echo Time Magnetization Transfer Ratio in a Mouse Model of Traumatic Brain Injury","abstract":"BACKGROUND AND PURPOSE: This study aims to assess the potential of ultrashort echo time imaging-based magnetization transfer ratio (UTE-MTR) in detecting demyelination in mice with mild traumatic brain injury (mTBI) caused by an open-field low-intensity blast (LIB) injury model. METHODS: This study included 30 male C57BL/6 mice, approximately 8 weeks old, sourced from Jackson Laboratories in Bar Harbor, ME, and conducted under institutional guidelines. The mice were divided into the mTBI group (n = 15) and the sham control group (n = 15). All animal experiments followed the approved protocols for the Care and Use of Laboratory Animals and Animal Research. The mTBI group underwent the open-field LIB injury. Behavioral tests were conducted to assess motor activity and anxiety-like responses. UTE-MT imaging was performed using a 3 Tesla Bruker system to measure UTE-MTR from two UTE-MT datasets with saturation powers of 1500° and 500°, and two frequency offsets of 2 and 50 kHz, respectively. Luxol fast blue (LFB) staining was performed to evaluate myelin content. The mean UTE-MTR values for regions of interest centered at the medial section of the corpus callosum were computed. The behavioral tests, LFB myelin staining, and UTE-MTR values were compared between the two groups using the independent t-test. p values <0.05 were considered significant. RESULTS: The mTBI mice demonstrated decreased motor activity and increased anxiety-like response over sham controls. The mTBI mice also showed significantly lower UTE-MTR values (0.399±0.007 vs. 0.393±0.005; p<0.05) and reduced LFB myelin staining (0.848±0.324 vs. 1.145±0.260; p = 0.048) over sham controls. CONCLUSION: The significantly lower UTE-MTR values in the corpus callosum of mTBI mice are consistent with reduced LFB myelin staining, indicating that UTE-MTR can detect myelin loss and associated alterations in motor and anxiety domains post-LIB exposure.","journal":"Journal of Neuroimaging","year":2025,"id":532009,"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":0.959,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"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":486371,"name":"Xin Cheng","orcid":"0000-0002-7836-8724","position":1,"is_corresponding":false},{"id":774967,"name":"Qingbo Tang","orcid":"0000-0002-7995-504X","position":2,"is_corresponding":false},{"id":896077,"name":"Dina Moazamian","orcid":"0000-0002-8815-4535","position":3,"is_corresponding":false},{"id":310559,"name":"Eric Y. Chang","orcid":"0000-0003-3633-5630","position":4,"is_corresponding":false},{"id":405238,"name":"Catherine E. Johnson","orcid":"0000-0002-0670-8179","position":5,"is_corresponding":false},{"id":1394904,"name":"Jiankun Cui","orcid":"0000-0003-1147-0203","position":6,"is_corresponding":false},{"id":908553,"name":"Zezong Gu","orcid":null,"position":7,"is_corresponding":false},{"id":310553,"name":"Yajun Ma","orcid":"0000-0003-0830-9232","position":8,"is_corresponding":false},{"id":310555,"name":"Saeed Jerban","orcid":"0000-0001-6450-2892","position":9,"is_corresponding":false},{"id":896075,"name":"Jiyo Athertya","orcid":"0000-0002-0866-1052","position":0,"is_corresponding":true}],"reference_count":58,"raw_metadata":null,"created_at":"2026-07-19T02:51:18.928280Z","pmid":"39994838","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":[]}