{"doi":"10.1002/mrm.30061","title":"Age‐related differences in macromolecular resonances observed in ultra‐short‐TE STEAM MR spectra at 7T","abstract":"PURPOSE: To understand how macromolecular content varies in the human brain with age in a large cohort of healthy subjects. METHODS: H-MR spectra were acquired using ultra-short TE STEAM at 7T in the posterior cingulate cortex. Macromolecular content was studied in 147 datasets from a cohort ranging in age from 19 to 89 y. Three fitting approaches were used to evaluate the macromolecular content: (1) a macromolecular resonances model developed for this study; (2) LCModel-simulated macromolecules; and (3) a combination of measured and LCModel-simulated macromolecules. The effect of age on the macromolecular content was investigated by considering age both as a continuous variable (i.e., linear regressions) and as a categorical variable (i.e., multiple comparisons among sub-groups obtained by stratifying data according to age by decade). RESULTS: While weak age-related effects were observed for macromolecular peaks at ˜0.9 (MM09), ˜1.2 (MM12), and ˜1.4 (MM14) ppm, moderate to strong effects were observed for peaks at ˜1.7 (MM17), and ˜2.0 (MM20) ppm. Significantly higher MM17 and MM20 content started from 30 to 40 y of age, while for MM09, MM12, and MM14, significantly higher content started from 60 to 70 y of age. CONCLUSIONS: Our findings provide insights into age-related differences in macromolecular contents and strengthen the necessity of using age-matched measured macromolecules during quantification.","journal":"Magnetic Resonance in Medicine","year":2024,"id":467459,"datarank":0.22806197101896347,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"self_citation_contribution":0.20794415416798362,"citation_network_contribution":0.02011781685097985,"self_endowment_contribution":0.20794415416798362,"citer_contribution":0.02011781685097985,"corpus_percentile":37.951574224491374,"corpus_rank":8022,"citation_count":3,"citer_count":3,"citers_with_citation_signal":3,"citers_with_endowment":3,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.6898,"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":262956,"name":"Melissa Terpstra","orcid":"0000-0002-6249-1613","position":1,"is_corresponding":false},{"id":410076,"name":"Pavel Filip","orcid":"0000-0001-5656-5164","position":2,"is_corresponding":false},{"id":410077,"name":"Silvia Mangia","orcid":"0000-0001-6341-4516","position":3,"is_corresponding":false},{"id":494348,"name":"J. Riley McCarten","orcid":"0000-0001-5375-6862","position":4,"is_corresponding":false},{"id":494998,"name":"Laura S. Hemmy","orcid":null,"position":5,"is_corresponding":false},{"id":489090,"name":"Małgorzata Marjańska","orcid":"0000-0002-4727-2447","position":6,"is_corresponding":false},{"id":495942,"name":"Guglielmo Genovese","orcid":"0000-0001-9409-0120","position":0,"is_corresponding":true}],"reference_count":40,"raw_metadata":null,"created_at":"2026-07-19T02:05:15.025255Z","pmid":"38441257","pmcid":"PMC11055657","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":[]}