{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Torrado-Carvajal A"],"funding":["NIBIB NIH HHS","NCCIH NIH HHS","NCI NIH HHS","NINDS NIH HHS","NIH HHS"],"pagination":["1241-1249"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7969370"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["162(4)"],"pubmed_abstract":["<h4>Abstract</h4>Using positron emission tomography, we recently demonstrated elevated brain levels of the 18 kDa translocator protein (TSPO), a glial activation marker, in chronic low back pain (cLBP) patients, compared to healthy controls (HCs). Here, we first sought to replicate the original findings in an independent cohort (15 cLBP, 37.8 ± 12.5 y/o; 18 HC, 48.2 ± 12.8 y/o). We then trained random forest machine learning algorithms based on TSPO imaging features combining discovery and replication cohorts (totaling 25 cLBP, 42.4 ± 13.2 y/o; 27 HC, 48.9 ± 12.6 y/o), to explore whether image features other than the mean contain meaningful information that might contribute to the discrimination of cLBP patients and HC. Feature importance was ranked using SHapley Additive exPlanations valu"],"journal":["Pain"],"pubmed_title":["Thalamic neuroinflammation as a reproducible and discriminating signature for chronic low back pain."],"pmcid":["PMC7969370"],"funding_grant_id":["P01 AT009965","U24 CA180927","U01 CA154601","U24 CA180918","R21 NS087472","P41 EB015896","T32 EB001680","R01 NS095937","R01 NS094306","S10 OD023517","F30 CA239407"],"pubmed_authors":["Chang K","Torrado-Carvajal A","Edwards RR","Loggia ML","Toschi N","Kim M","Albrecht DS","Zhang Y","Kalpathy-Cramer J","Duggento A","Akeju O","Hooker JM","Napadow V"],"additional_accession":[]},"is_claimable":false,"name":"Thalamic neuroinflammation as a reproducible and discriminating signature for chronic low back pain.","description":"<h4>Abstract</h4>Using positron emission tomography, we recently demonstrated elevated brain levels of the 18 kDa translocator protein (TSPO), a glial activation marker, in chronic low back pain (cLBP) patients, compared to healthy controls (HCs). Here, we first sought to replicate the original findings in an independent cohort (15 cLBP, 37.8 ± 12.5 y/o; 18 HC, 48.2 ± 12.8 y/o). We then trained random forest machine learning algorithms based on TSPO imaging features combining discovery and replication cohorts (totaling 25 cLBP, 42.4 ± 13.2 y/o; 27 HC, 48.9 ± 12.6 y/o), to explore whether image features other than the mean contain meaningful information that might contribute to the discrimination of cLBP patients and HC. Feature importance was ranked using SHapley Additive exPlanations valu","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Apr","modification":"2025-04-04T01:02:17.668Z","creation":"2024-11-15T21:01:36.542Z"},"accession":"S-EPMC7969370","cross_references":{"pubmed":["33065737"],"doi":["10.1097/j.pain.0000000000002108"]}}