{"doi":"10.7554/elife.100123","title":"Imaging of brain electric field networks with spatially resolved EEG","abstract":"a variation of the well-known 'source reconstruction' methods, but rather a direct solution to the EEG inverse problem based on our recently developed model for brain waves that demonstrates the inadequacy of the standard 'quasi-static approximation' that has fostered the belief that such a reconstruction is not physically possible. The method retains the high temporal/frequency resolution of EEG, yet has spatial resolution comparable to (or better than) functional MRI (fMRI), without its significant inherent limitations. The method is validated using simultaneous EEG/fMRI data in healthy subjects, intracranial EEG data in epilepsy patients, comparison with numerical simulations, and a direct comparison with standard state-of-the-art EEG analysis in a well-established attention paradigm. The method is then demonstrated on a very large cohort of subjects performing a standard gambling task designed to activate the brain's 'reward circuit'. The technique uses the output from standard extant EEG systems and thus has potential for immediate benefit to a broad range of important basic scientific and clinical questions concerning brain electrical activity. By offering an inexpensive and portable alternative to fMRI, it provides a realistic methodology to efficiently promote the democratization of medicine.","journal":"eLife","year":2024,"id":507413,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9554,"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":367632,"name":"V. L. Galinsky","orcid":"0000-0003-0420-6834","position":1,"is_corresponding":false},{"id":1343239,"name":"Olave E. Krigolson","orcid":"0000-0002-9053-908X","position":2,"is_corresponding":false},{"id":341671,"name":"Susan F. Tapert","orcid":"0000-0001-7259-6112","position":3,"is_corresponding":false},{"id":384987,"name":"Stephan Bickel","orcid":"0000-0001-5265-2447","position":4,"is_corresponding":false},{"id":289812,"name":"Antı́gona Martı́nez","orcid":"0000-0003-4806-5199","position":5,"is_corresponding":false},{"id":367633,"name":"Lawrence R. Frank","orcid":"0000-0001-7235-587X","position":0,"is_corresponding":true}],"reference_count":96,"raw_metadata":null,"created_at":"2026-07-19T02:11:02.460057Z","pmid":"40472276","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":[]}