{"doi":"10.1117/1.nph.12.s1.s14604","title":"Early changes in spatiotemporal dynamics of remapped circuits and global networks predict functional recovery after stroke in mice","abstract":"Significance: Stroke is the leading cause of chronic disability in the United States. How stroke size affects post-stroke repair and recovery is poorly understood. Aim: We aim to investigate the effects of stroke size on early repair patterns and determine how early changes in neuronal circuits and networks predict functional outcomes after stroke. Approach: We used wide-field optical imaging, photothrombosis, and the cylinder-rearing assay to examine changes in neuronal circuit and network activity in the context of functional recovery after stroke. Results: caused diffuse and widespread forepaw stimulus-evoked cortical activation, including contralesional regions evolving within 4 weeks post-stroke; smaller strokes resulted in more focused ipsilesional activation. Larger strokes decreased neuronal fidelity and bilateral coherence during stimulation of either the affected or unaffected forepaw within this 4-week period. Mice in the larger lesion group demonstrated hyperconnectivity within the contralesional hemisphere at the resting state. Greater degrees of remapping diffusivity, neuronal fidelity degradation, and hyperconnectivity predicted worse 8-week recovery after statistically controlling for the effect of infarct size. Conclusions: These results suggest that diffuse patterns of remapping, and desynchronization and hyperconnectivity of cortical networks, evolving early after stroke may reflect maladaptive plasticity, predicting poor long-term functional recovery.","journal":"Neurophotonics","year":2024,"id":460611,"datarank":0.24141568686511508,"base_score":1.6094379124341003,"endowment":1.6094379124341003,"self_citation_contribution":0.24141568686511508,"citation_network_contribution":0.0,"self_endowment_contribution":0.24141568686511508,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9228,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":348696,"name":"Jake J. Lee","orcid":"0000-0002-8175-9486","position":1,"is_corresponding":false},{"id":1288764,"name":"Bangjie Wang","orcid":"0000-0002-9974-1751","position":3,"is_corresponding":false},{"id":285853,"name":"Keith R. Lohse","orcid":"0000-0002-7643-3887","position":4,"is_corresponding":false},{"id":892689,"name":"Hanyang Miao","orcid":"0000-0001-5757-859X","position":5,"is_corresponding":false},{"id":777111,"name":"Jonah A. Padawer-Curry","orcid":"0000-0003-0275-1468","position":6,"is_corresponding":false},{"id":892687,"name":"Asher J. Albertson","orcid":"0000-0002-4194-9584","position":7,"is_corresponding":false},{"id":545492,"name":"Eric C. Landsness","orcid":"0000-0003-3227-1641","position":8,"is_corresponding":false},{"id":366329,"name":"Adam Q. Bauer","orcid":"0000-0002-8364-3209","position":9,"is_corresponding":false},{"id":310715,"name":"Jin‐Moo Lee","orcid":"0000-0002-3979-0906","position":10,"is_corresponding":false},{"id":754951,"name":"Ryan M. Bowen","orcid":"0000-0003-0970-3581","position":0,"is_corresponding":true}],"reference_count":78,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:04:07.925246Z","pmid":"39711648","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":[]}