{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Wang Z"],"funding":["NIA NIH HHS","NIDCD NIH HHS"],"pubmed_abstract":["<h4>Background</h4>Identifying the characteristics of individuals who demonstrate response to an intervention allows us to predict who is most likely to benefit from certain interventions. Prediction is challenging in rare and heterogeneous diseases, such as primary progressive aphasia (PPA), that have varying clinical manifestations. We aimed to determine the characteristics of those who will benefit most from transcranial direct current stimulation (tDCS) of the left inferior frontal gyrus (IFG) using a novel heterogeneity and group identification analysis.<h4>Methods</h4>We compared the predictive ability of demographic and clinical patient characteristics (e.g., PPA variant and disease progression, baseline language performance) vs. functional connectivity alone (from resting-state fMRI) in the same cohort.<h4>Results</h4>Functional connectivity alone had the highest predictive value for outcomes, explaining 62% and 75% of tDCS effect of variance in generalization (semantic fluency) and in the trained outcome of the clinical trial (written naming), contrasted with <15% predicted by clinical characteristics, including baseline language performance. Patients with higher baseline functional connectivity between the left IFG (opercularis and triangularis), and between the middle temporal pole and posterior superior temporal gyrus, were most likely to benefit from tDCS.<h4>Conclusions</h4>We show the importance of a baseline 7-minute functional connectivity scan in predicting tDCS outcomes, and point towards a precision medicine approach in neuromodulation studies. The study has important implications for clinical trials and practice, providing a statistical method that addresses heterogeneity in patient populations and allowing accurate prediction and enrollment of those who will most likely benefit from specific interventions."],"journal":["medRxiv : the preprint server for health sciences"],"pagination":["2024.04.19.24305354"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11065007"],"repository":["biostudies-literature"],"pubmed_title":["Baseline functional connectivity predicts who will benefit from neuromodulation: evidence from primary progressive aphasia."],"pmcid":["PMC11065007"],"funding_grant_id":["P50 DC014664","R01 AG075111","R01 DC014475","R01 DC005375","R01 AG068881","R01 AG075404","R01 DC011317"],"pubmed_authors":["Tsapkini K","Desmond JE","Caffo B","Onyike CU","Tippett D","Hillis AE","Wang Z","Frangakis CE","Gallegos J"],"additional_accession":[]},"is_claimable":false,"name":"Baseline functional connectivity predicts who will benefit from neuromodulation: evidence from primary progressive aphasia.","description":"<h4>Background</h4>Identifying the characteristics of individuals who demonstrate response to an intervention allows us to predict who is most likely to benefit from certain interventions. Prediction is challenging in rare and heterogeneous diseases, such as primary progressive aphasia (PPA), that have varying clinical manifestations. We aimed to determine the characteristics of those who will benefit most from transcranial direct current stimulation (tDCS) of the left inferior frontal gyrus (IFG) using a novel heterogeneity and group identification analysis.<h4>Methods</h4>We compared the predictive ability of demographic and clinical patient characteristics (e.g., PPA variant and disease progression, baseline language performance) vs. functional connectivity alone (from resting-state fMRI) in the same cohort.<h4>Results</h4>Functional connectivity alone had the highest predictive value for outcomes, explaining 62% and 75% of tDCS effect of variance in generalization (semantic fluency) and in the trained outcome of the clinical trial (written naming), contrasted with <15% predicted by clinical characteristics, including baseline language performance. Patients with higher baseline functional connectivity between the left IFG (opercularis and triangularis), and between the middle temporal pole and posterior superior temporal gyrus, were most likely to benefit from tDCS.<h4>Conclusions</h4>We show the importance of a baseline 7-minute functional connectivity scan in predicting tDCS outcomes, and point towards a precision medicine approach in neuromodulation studies. The study has important implications for clinical trials and practice, providing a statistical method that addresses heterogeneity in patient populations and allowing accurate prediction and enrollment of those who will most likely benefit from specific interventions.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Apr","modification":"2026-04-15T03:18:59.584Z","creation":"2026-04-15T03:09:51.531Z"},"accession":"S-EPMC11065007","cross_references":{"pubmed":["38699365"],"doi":["10.1101/2024.04.19.24305354"]}}