{"doi":"10.1007/s11427-019-9556-4","title":"Reconstruction of behavior-relevant individual brain activity: an individualized fMRI study","abstract":null,"journal":"Science China Life Sciences","year":2020,"id":600783,"datarank":0.38474240361923057,"base_score":2.5649493574615367,"endowment":2.5649493574615367,"self_citation_contribution":0.38474240361923057,"citation_network_contribution":0.0,"self_endowment_contribution":0.38474240361923057,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":12,"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":801787,"name":"Xin Li","orcid":"0000-0002-8779-125X","position":1,"is_corresponding":false},{"id":941243,"name":"Tianzi Jiang","orcid":"0000-0002-0607-3775","position":2,"is_corresponding":false},{"id":1326605,"name":"Dongya Wu","orcid":"0000-0003-1967-2264","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Reconstruction of behavior-relevant individual brain activity: an individualized fMRI study","abstract":"Different patterns of brain activity are observed in various subjects across a wide functional domain. However, these individual differences, which are often neglected through the group average, are not yet completely understood. Based on the fundamental assumption that human behavior is rooted in the underlying brain function, we speculated that the individual differences in brain activity are reflected in the individual differences in behavior. Adopting 98 behavioral measures and assessing the brain activity induced at seven task functional magnetic resonance imaging states, we demonstrated that the individual differences in brain activity can be used to predict behavioral measures of individual subjects with high accuracy using the partial least square regression model. In addition, we revealed that behavior-relevant individual differences in brain activity transferred between different task states and can be used to reconstruct individual brain activity. Reconstructed individual brain activity retained certain individual differences which were lost in the group average and could serve as an individual functional localizer. Therefore, our results suggest that the individual differences in brain activity contain behavior-relevant information and should be included in group averaging. Moreover, reconstructed individual brain activity shows a potential use in precise and personalized medicine.","is_dataset_classified":null,"base_score":2.5649493574615367,"endowment":2.5649493574615367,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"31290094","pmcid":null,"openalex_id":"https://openalex.org/W2960381226","authors":[],"funders":[{"funder_name":"National Institutes of Health","grant_id":"3U54MH091657-03S1","title":"Mapping the Human Connectome: Structure, Function, and Heritability"}],"total_grants":1,"fwci":0.9533,"citation_percentile":0.7244898,"influential_citations":0,"citation_trend":[{"year":2020,"count":3},{"year":2021,"count":1},{"year":2022,"count":5},{"year":2024,"count":1},{"year":2025,"count":2}],"oa_status":"closed","license":"Springer TDM","oa_locations":[{"url":"https://doi.org/10.1007/s11427-019-9556-4","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/31290094","host_type":"repository"},{"url":"https://api.library.uq.edu.au/view/UQ:83f9a5b","host_type":""},{"url":"https://espace.library.uq.edu.au/view/UQ:83f9a5b","host_type":""},{"url":"https://dx.doi.org/10.1007/s11427-019-9556-4","host_type":""},{"url":"https://doi.org/https://doi.org/10.1007/s11427-019-9556-4","host_type":""}],"fields_of_study":["Functional Brain Connectivity Studies","Neural dynamics and brain function","Advanced MRI Techniques and Applications","0301 basic medicine","03 medical and health sciences","0302 clinical medicine","Brain","Humans","Least-Squares Analysis","Magnetic Resonance Imaging","Models, Biological","Models, Neurological","Neural Pathways","Precision Medicine","Problem Behavior"],"mesh_terms":["Problem Behavior","Brain","Humans","Magnetic Resonance Imaging","Models, Biological","Models, Neurological","Neural Pathways","Least-Squares Analysis","Precision Medicine"],"keywords":["Brain activity and meditation","Functional magnetic resonance imaging","Psychology","Brain function","Brain mapping","Neuroscience","Task (project management)","Premovement neuronal activity","Regression","Human brain","Neuroimaging","Cognitive psychology","Electroencephalography","Prediction","Behavior","fMRI","Individual Difference","Problem Behavior","2300 Environmental Science","1300 Biochemistry","Models, Neurological","150","Brain","Genetics and Molecular Biology","Magnetic Resonance Imaging","Models, Biological","1100 Agricultural and Biological Sciences","1300 Biochemistry, Genetics and Molecular Biology","Neural Pathways","Humans","Least-Squares Analysis","Precision Medicine"],"sdg_mappings":[{"sdg_number":3,"sdg_label":"3. Good health"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-29T14:08:01.923876Z","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":[]}