{"doi":"10.3389/fnagi.2019.00371","title":"Age-Related Changes in Cortical Connectivity During Surgical Anesthesia","abstract":"An advanced understanding of the neurophysiologic changes that occur with aging may help improve perioperative care for older, vulnerable patients. The objective of this study was to determine age-related changes in cortical connectivity patterns during surgical anesthesia. This was a substudy analysis of a prospective, observational study characterizing cortical connectivity during surgical anesthesia in adult patients (n=45) via whole-scalp (16-channel) electroencephalography. Functional connectivity was estimated using weighted phase lag index, which was classified into a discrete set of states through k-means analysis. Temporal dynamics were quantified by occurrence rate and state transition probabilities. The mean global, connectivity state transition probability (13.4% [±8.1]) was not correlated with age (ρ = 0.100, P=0.513). Increasing age was inversely correlated with prefrontal-frontal alpha-beta connectivity (ρ = -0.446, P=0.002) and positively correlated with frontal-parietal theta connectivity (ρ = 0.414, P=0.005). After adjusting for anesthetic-related confounders, prefrontal-frontal alpha-beta connectivity remained significantly associated with age (β = -0.625, 95% CI -0.99 to -0.26; P=0.001), while frontal-parietal theta connectivity was no longer significant (β = 0.436, 95% CI -0.03 to 0.90; P=0.066). Specific transition states were also examined. Between frontal-parietal connectivity states, transitioning from theta-alpha to theta-dominated connectivity positively correlated with age (ρ = 0.545, P=0.001). Exploratory analysis in subsets of relatively young and old patients also demonstrated an increased propensity for frontal-parietal theta connectivity with older age and reduced prefrontal-frontal alpha-beta connectivity. Dynamic connectivity states during surgical anesthesia, particularly involving alpha and theta bandwidths, may be an informative measure to assess neurophysiologic changes that occur with aging.","journal":"Frontiers in Aging Neuroscience","year":2020,"id":79977,"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":15,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8906,"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":416755,"name":"Mike P. Puglia","orcid":null,"position":1,"is_corresponding":false},{"id":415327,"name":"Andrew P. Lapointe","orcid":"0000-0002-9360-6428","position":2,"is_corresponding":false},{"id":415328,"name":"Ka I Ip","orcid":"0000-0001-7543-3669","position":3,"is_corresponding":false},{"id":416756,"name":"Mackenzie Zierau","orcid":null,"position":4,"is_corresponding":false},{"id":415329,"name":"Amy McKinney","orcid":"0000-0002-6659-8135","position":5,"is_corresponding":false},{"id":415330,"name":"Phillip E. Vlisides","orcid":"0000-0003-3899-5536","position":6,"is_corresponding":false},{"id":415326,"name":"Duan Li","orcid":"0000-0001-9102-0741","position":0,"is_corresponding":true}],"reference_count":38,"raw_metadata":null,"created_at":"2026-07-18T21:51:24.704381Z","pmid":"31998118","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":[]}