{"doi":"10.1109/icassp.2016.7472888","title":"Dynamic analysis of resting state fMRI data and its applications","abstract":null,"journal":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","year":2016,"id":611939,"datarank":0.22178825492751703,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.056996411627300556,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.056996411627300556,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":2,"citers_with_citation_signal":2,"citers_with_endowment":2,"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":322711,"name":"Bing Ji","orcid":"0009-0006-6678-1745","position":1,"is_corresponding":false},{"id":281195,"name":"Zhihao Li","orcid":"0000-0002-1597-2676","position":2,"is_corresponding":false},{"id":401429,"name":"Jason Langley","orcid":"0000-0001-9412-1265","position":3,"is_corresponding":false},{"id":362967,"name":"Xiaoping Hu","orcid":null,"position":4,"is_corresponding":false},{"id":590440,"name":"Shiyang Chen","orcid":"0000-0002-5250-5217","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Dynamic analysis of resting state fMRI data and its applications","abstract":"While most resting state connectivity studies assume that resting-state fMRI time series are stationary, there is growing evidence indicating that they are in fact dynamically evolving. This paper describes two pieces of our work related to the resting state dynamics. We assume the resting-state brain to be in quasi-static states with spontaneous switching between them. First, we apply a hidden Markov model to the resting state fMRI data and derive model parameters reflecting the states. With this approach, we identified 9 reproducible states, which resemble resting state networks described in the literature. The second piece of work is the dynamic parcellations of thalamus, leading the state specific parcellations and their merged results, both of which revealed new insights about the thalamic function and connectivity.","is_dataset_classified":null,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"23304386","pmcid":null,"openalex_id":"https://openalex.org/W2406918878","authors":[],"funders":[],"total_grants":0,"fwci":0.3571,"citation_percentile":0.46599071,"influential_citations":0,"citation_trend":[{"year":2018,"count":1},{"year":2021,"count":1}],"oa_status":"closed","license":null,"oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx7/7465907/7471614/07472888.pdf?arnumber=7472888","host_type":"publisher"},{"url":"https://doi.org/10.1109/icassp.2016.7472888","host_type":""}],"fields_of_study":["Functional Brain Connectivity Studies","Neural dynamics and brain function","EEG and Brain-Computer Interfaces"],"mesh_terms":[],"keywords":["Resting state fMRI","Computer science","Functional connectivity","State (computer science)","Markov chain","Dynamic functional connectivity","Thalamus","Hidden Markov model","Markov model","Markov process","Neuroscience","Artificial intelligence","Machine learning","Algorithm","Mathematics","Psychology","Statistics"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-02T00:07:08.811985Z","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":[]}