{"doi":"10.1016/j.neuroimage.2014.09.035","title":"Sex differences in neocortical structure and cognitive performance: A surface-based morphometry study","abstract":null,"journal":"NeuroImage","year":2015,"id":605174,"datarank":0.5495342469194471,"base_score":3.6635616461296463,"endowment":3.6635616461296463,"self_citation_contribution":0.5495342469194471,"citation_network_contribution":0.0,"self_endowment_contribution":0.5495342469194471,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":38,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1553066,"name":"Francisco J. Román","orcid":null,"position":1,"is_corresponding":false},{"id":648138,"name":"Kenia Martínez","orcid":"0000-0002-6880-1395","position":2,"is_corresponding":false},{"id":1553067,"name":"Miguel Burgaleta","orcid":null,"position":3,"is_corresponding":false},{"id":107825,"name":"Sherif Karama","orcid":"0000-0002-9379-7180","position":4,"is_corresponding":false},{"id":1553068,"name":"Roberto Colom","orcid":null,"position":5,"is_corresponding":false},{"id":1553065,"name":"Sergio Escorial","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Sex differences in neocortical structure and cognitive performance: A surface-based morphometry study","abstract":"On average, men show larger brain volumes than women. Regional differences have been also observed, although most of the available studies apply voxel-based morphometry (VBM). Reports applying surface-based morphometry (SBM) have been focused mainly on cortical thickness (CT). Here we apply SBM for obtaining global and regional indices of CT, cortical surface area (CSA), and cortical gray matter volume (CGMV) from samples of men (N=40) and women (N=40) matched for their performance on four cognitive factors varying in their complexity: processing speed, attention control, working memory capacity, and fluid intelligence. These were the main findings: 1) CT and CSA produced very weak correlations in both sexes, 2) men showed larger values in CT, CSA, and CGMV, and 3) cognitive performance was unrelated to brain structural variation within sexes. Therefore, we found substantial group differences in brain structure, but there was no relationship with cognitive performance both between and within-sexes.","is_dataset_classified":null,"base_score":3.6635616461296463,"endowment":3.6635616461296463,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"25255941","pmcid":null,"openalex_id":"https://openalex.org/W2066018696","authors":[],"funders":[{"funder_name":"Ministerio de Ciencia e Innovación, Spain","grant_id":"PSI2010-20364","title":null},{"funder_name":"Ministerio de Ciencia e Innovación, Spain","grant_id":"BES-2011-043527","title":null},{"funder_name":"Alianza 4 Universidades","grant_id":"A4U-4-2011","title":null},{"funder_name":"Ministerio de Educación, Spain","grant_id":"AP2008-00433","title":null}],"total_grants":4,"fwci":1.5415,"citation_percentile":0.81284703,"influential_citations":0,"citation_trend":[{"year":2015,"count":3},{"year":2016,"count":4},{"year":2017,"count":4},{"year":2018,"count":2},{"year":2019,"count":5},{"year":2020,"count":2},{"year":2021,"count":6},{"year":2022,"count":3},{"year":2023,"count":4},{"year":2024,"count":2},{"year":2025,"count":3}],"oa_status":"closed","license":"https://www.elsevier.com/tdm/userlicense/1.0/","oa_locations":[{"url":"https://api.elsevier.com/content/article/PII:S1053811914007770?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S1053811914007770?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.neuroimage.2014.09.035","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/25255941","host_type":"repository"}],"fields_of_study":["Neural and Behavioral Psychology Studies","Functional Brain Connectivity Studies","Creativity in Education and Neuroscience","Adolescent","Adult","Cognition","Female","Gray Matter","Humans","Male","Neocortex","Neuropsychological Tests","Sex Factors","Young Adult"],"mesh_terms":["Adolescent","Adult","Cognition","Female","Humans","Male","Neuropsychological Tests","Sex Factors","Neocortex","Young Adult","Gray Matter"],"keywords":["Cognition","Psychology","Brain morphometry","Cognitive psychology","Surface (topology)","Neuroscience","Mathematics","Geometry","Medicine","Magnetic resonance imaging","Sex differences","Cortical Thickness","Cortical Surface Area","Cortical Gray Matter Volume"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Gender equality"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-30T01:49:52.688021Z","pmid":null,"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":[]}