{"doi":"10.1093/cercor/bhad098","title":"Multi-shell connectome DWI-based graph theory measures for the prediction of temporal lobe epilepsy and cognition","abstract":"Temporal lobe epilepsy (TLE) is the most common epilepsy syndrome that empirically represents a network disorder, which makes graph theory (GT) a practical approach to understand it. Multi-shell diffusion-weighted imaging (DWI) was obtained from 89 TLE and 50 controls. GT measures extracted from harmonized DWI matrices were used as factors in a support vector machine (SVM) analysis to discriminate between groups, and in a k-means algorithm to find intrinsic structural phenotypes within TLE. SVM was able to predict group membership (mean accuracy = 0.70, area under the curve (AUC) = 0.747, Brier score (BS) = 0.264) using 10-fold cross-validation. In addition, k-means clustering identified 2 TLE clusters: 1 similar to controls, and 1 dissimilar. Clusters were significantly different in their distribution of cognitive phenotypes, with the Dissimilar cluster containing the majority of TLE with cognitive impairment (χ2 = 6.641, P = 0.036). In addition, cluster membership showed significant correlations between GT measures and clinical variables. Given that SVM classification seemed driven by the Dissimilar cluster, SVM analysis was repeated to classify Dissimilar versus Similar + Controls with a mean accuracy of 0.91 (AUC = 0.957, BS = 0.189). Altogether, the pattern of results shows that GT measures based on connectome DWI could be significant factors in the search for clinical and neurobehavioral biomarkers in TLE.","journal":"Cerebral Cortex","year":2023,"id":378535,"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":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9447,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":406234,"name":"Nagesh Adluru","orcid":"0000-0001-8330-1770","position":1,"is_corresponding":false},{"id":796096,"name":"Daniel Y. Chu","orcid":"0000-0001-6455-9514","position":2,"is_corresponding":false},{"id":260777,"name":"Veena A. Nair","orcid":"0000-0002-5666-3239","position":3,"is_corresponding":false},{"id":1093245,"name":"Anusha Adluru","orcid":"0009-0008-6455-9299","position":4,"is_corresponding":false},{"id":297390,"name":"Andrew S. Nencka","orcid":"0000-0001-5268-2718","position":5,"is_corresponding":false},{"id":306968,"name":"Rama Maganti","orcid":"0000-0001-5472-1645","position":6,"is_corresponding":false},{"id":306963,"name":"Jedidiah Mathis","orcid":"0000-0002-9688-9531","position":7,"is_corresponding":false},{"id":306959,"name":"Lisa L. Conant","orcid":"0000-0002-5050-3437","position":8,"is_corresponding":false},{"id":396751,"name":"Andrew L. Alexander","orcid":"0000-0003-2695-768X","position":9,"is_corresponding":false},{"id":260778,"name":"Vivek Prabhakaran","orcid":"0000-0002-1974-3125","position":10,"is_corresponding":false},{"id":306972,"name":"Jeffrey R. Binder","orcid":"0000-0002-2233-5640","position":11,"is_corresponding":false},{"id":306973,"name":"M. Elizabeth Meyerand","orcid":"0000-0002-4655-8523","position":12,"is_corresponding":false},{"id":289691,"name":"Bruce P. Hermann","orcid":"0000-0003-0133-4427","position":13,"is_corresponding":false},{"id":306970,"name":"Aaron F. Struck","orcid":"0000-0002-9103-1798","position":14,"is_corresponding":false},{"id":306962,"name":"Camille Garcia‐Ramos","orcid":"0000-0003-4365-9895","position":0,"is_corresponding":true}],"reference_count":58,"raw_metadata":null,"created_at":"2026-07-19T01:16:48.594070Z","pmid":"37067514","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":[]}