{"doi":"10.1093/texcom/tgad018","title":"Detection and characterization of resting state functional networks in squirrel monkey brain","abstract":"Resting-state fMRI based on analyzing BOLD signals is widely used to derive functional networks in the brain and how they alter during disease or injury conditions. Resting-state networks can also be used to study brain functional connectomes across species, which provides insights into brain evolution. The squirrel monkey (SM) is a non-human primate (NHP) that is widely used as a preclinical model for experimental manipulations to understand the organization and functioning of the brain. We derived resting-state networks from the whole brain of anesthetized SMs using Independent Component Analysis of BOLD acquisitions. We detected 15 anatomically constrained resting-state networks localized in the cortical and subcortical regions as well as in the white-matter. Networks encompassing visual, somatosensory, executive control, sensorimotor, salience and default mode regions, and subcortical networks including the Hippocampus-Amygdala, thalamus, basal-ganglia and brainstem region correspond well with previously detected networks in humans and NHPs. The connectivity pattern between the networks also agrees well with previously reported seed-based resting-state connectivity of SM brain. This study demonstrates that SMs share remarkable homologous network organization with humans and other NHPs, thereby providing strong support for their suitability as a translational animal model for research and additional insight into brain evolution across species.","journal":"Cerebral Cortex Communications","year":2023,"id":355110,"datarank":0.29188652235829704,"base_score":1.9459101490553132,"endowment":1.9459101490553132,"self_citation_contribution":0.29188652235829704,"citation_network_contribution":0.0,"self_endowment_contribution":0.29188652235829704,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8489,"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":378957,"name":"Feng Wang","orcid":"0000-0002-8965-7708","position":1,"is_corresponding":false},{"id":378956,"name":"Arabinda Mishra","orcid":"0000-0003-1564-5373","position":2,"is_corresponding":false},{"id":723466,"name":"Jamie L. Reed","orcid":"0000-0002-0273-1689","position":3,"is_corresponding":false},{"id":378958,"name":"Li Min Chen","orcid":"0000-0001-9662-1925","position":4,"is_corresponding":false},{"id":324146,"name":"John C. Gore","orcid":"0000-0002-9480-0900","position":5,"is_corresponding":false},{"id":344638,"name":"Anirban Sengupta","orcid":"0000-0001-9872-0513","position":0,"is_corresponding":true}],"reference_count":113,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T01:13:16.394812Z","pmid":"37753115","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":[]}