2019
275-LB: Connectome Predictive Modeling May Identify Brain Connectivity Signatures to Help Predict Who Will Benefit from Low-Calorie Diet
GROSKREUTZ D, LAM W, LACADIE C, ELSHAFIE A, HWANG J, SEO D, SAVOYE M, SINHA R, CONSTABLE T, SHERWIN R, BELFORT-DEAGUIAR R. 275-LB: Connectome Predictive Modeling May Identify Brain Connectivity Signatures to Help Predict Who Will Benefit from Low-Calorie Diet. Diabetes 2019, 68 DOI: 10.2337/db19-275-lb.Peer-Reviewed Original ResearchLow-calorie dietCalorie dietWeight lossBrain connectivity matricesEffective weight loss strategyFunctional MRIConnectivity signaturesBrain connectivityWeight loss strategiesReduced calorie dietWeight loss successNon-food imagesMannKind CorporationOB subjectsT2DM subjectsBMI changeLoss strategiesBrain-behavior relationshipsBrain connectivity dataEuglycemiaHyperglycemiaFood picturesDietNational InstituteBOLD activity
2017
Using connectome-based predictive modeling to predict individual behavior from brain connectivity
Shen X, Finn ES, Scheinost D, Rosenberg MD, Chun MM, Papademetris X, Constable RT. Using connectome-based predictive modeling to predict individual behavior from brain connectivity. Nature Protocols 2017, 12: 506-518. PMID: 28182017, PMCID: PMC5526681, DOI: 10.1038/nprot.2016.178.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelingBrain connectivity dataBrain connectivityConnectivity dataPredictive features