{"doi":"10.1002/brb3.71032","title":"Different Brain Network Connectomic Relationships Subserve Hand Dexterity During Task Versus Resting States in People with Brain Tumors","abstract":"PURPOSE: The purpose of this study was to explore different brain network connectomic relationships subserving hand dexterity in patients with contrast-enhancing brain tumors during task and resting states. METHOD: We measured hand dexterity, resting state functional connectivity, and task-based functional connectivity in 21 participants with newly diagnosed brain tumors. Hand dexterity was measured using the 9-hole peg test (9HPT), and patient-reported outcomes were assessed with the Duroz Hand Index (DHI). FINDINGS: We discovered the following: (1) The inability to complete dexterous tasks is most associated with low somatomotor-basal ganglia network connectivity during rest but high somatomotor-basal ganglia network connectivity during tasks; (2) in the subgroup of better dexterous performers, resting somatomotor-salience connectivity is higher in people with poor dexterity-a relationship that holds true in healthy adult subjects from the Human Connectome Project (HCP), suggesting it has fundamental importance; and (3) connectomic measurements were stronger predictors of dexterous performance than classical variables of tumor (i.e., size, grade, or anatomical location). CONCLUSIONS: These data suggest that connectomic correlates of dexterity are different in resting and task-based states. Additionally, our data suggest a threshold level of somatomotor-to-basal ganglia connectivity is required to accomplish dexterous movements, and, in the cases of appropriately preserved somatomotor-to-basal ganglia connectivity, salience-somatomotor connectivity then becomes the dominant connection facilitating performance in a hierarchical fashion. These findings have fundamental implications for both surgical planning and neuromodulation-based rehabilitation.","journal":"Brain and Behavior","year":2025,"id":582931,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9135,"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":1494862,"name":"Léon Taquet","orcid":"0000-0001-7337-8096","position":1,"is_corresponding":false},{"id":1283028,"name":"Kaitlin Goetschel","orcid":null,"position":2,"is_corresponding":false},{"id":1494863,"name":"Sarah C. Young","orcid":"0000-0002-8658-7767","position":3,"is_corresponding":false},{"id":392577,"name":"Jennifer Connelly","orcid":"0000-0002-6122-8573","position":4,"is_corresponding":false},{"id":306972,"name":"Jeffrey R. Binder","orcid":"0000-0002-2233-5640","position":5,"is_corresponding":false},{"id":1149344,"name":"Brian D. Schmit","orcid":"0000-0002-3616-8388","position":6,"is_corresponding":false},{"id":301725,"name":"Max Krucoff","orcid":"0000-0002-9577-8944","position":7,"is_corresponding":false},{"id":1294043,"name":"Timothy F. Boerger","orcid":"0000-0003-1587-3704","position":0,"is_corresponding":true}],"reference_count":40,"raw_metadata":null,"created_at":"2026-07-19T02:58:59.653747Z","pmid":"41250893","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":[]}