{"doi":"10.1016/j.nicl.2019.102148","title":"Sub-millimeter variation in human locus coeruleus is associated with dimensional measures of psychopathology: An in vivo ultra-high field 7-Tesla MRI study","abstract":"The locus coeruleus (LC) has a long-established role in the attentional and arousal response to threat, and in the emergence of pathological anxiety in pre-clinical models. However, human evidence of links between LC function and pathological anxiety has been restricted by limitations in discerning LC with current neuroimaging techniques. We combined ultra-high field 7-Tesla and 0.4 × 0.4 × 0.5 mm quantitative MR imaging with a computational LC localization and segmentation algorithm to delineate the LC in 29 human subjects including subjects with and without an anxiety or stress-related disorder. Our automated, data-driven LC segmentation algorithm provided LC delineations that corresponded well with postmortem anatomic definitions of the LC. There was variation of LC size in healthy subjects (125.7 +/- 59.3 mm3), which recapitulates histological reports. Patients with an anxiety or stress-related disorder had larger LC compared to controls (Cohen's d = 1.08, p = 0.024). Larger LC was additionally associated with poorer attentional and inhibitory control and higher anxious arousal (FDR-corrected p's<0.025), trans-diagnostically across the full sample. This study combined high-resolution and quantitative MR with a mixture of supervised and unsupervised computational techniques to provide robust, sub-millimeter measurements of the LC in vivo, which were additionally related to common psychopathology. This work has wide-reaching applications for a range of neurological and psychiatric disorders characterized by expected LC dysfunction.","journal":"NeuroImage Clinical","year":2020,"id":62384,"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":51,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9069,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":329635,"name":"Aaron Tan","orcid":"0000-0002-3005-3774","position":1,"is_corresponding":false},{"id":4742,"name":"D. Smith","orcid":null,"position":2,"is_corresponding":false},{"id":330471,"name":"Mora M. Grehl","orcid":null,"position":3,"is_corresponding":false},{"id":330472,"name":"Kuang Han-Huang","orcid":null,"position":4,"is_corresponding":false},{"id":329636,"name":"Thomas P. Naidich","orcid":"0000-0003-2304-7007","position":5,"is_corresponding":false},{"id":240831,"name":"Dennis S. Charney","orcid":"0000-0003-0610-3433","position":6,"is_corresponding":false},{"id":329637,"name":"Priti Balchandani","orcid":"0000-0001-7709-5835","position":7,"is_corresponding":false},{"id":257897,"name":"Prantik Kundu","orcid":"0000-0001-9367-3068","position":8,"is_corresponding":false},{"id":329638,"name":"James W. Murrough","orcid":"0000-0001-6286-1242","position":9,"is_corresponding":false},{"id":329634,"name":"Laurel Morris","orcid":"0000-0002-5862-6650","position":0,"is_corresponding":true}],"reference_count":66,"raw_metadata":null,"created_at":"2026-07-18T21:10:11.612909Z","pmid":"32097890","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":[]}