Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups.

Spencer, Daniel; Yue, Yu Ryan; Bolin, David; Ryan, Sarah; Mejia, Amanda F

Spencer, Daniel; Yue, Yu Ryan; Bolin, David; Ryan, Sarah; Mejia, Amanda F.

Affiliation

Spencer D; Department of Statistics, Indiana University, Myles Brand Hall E104 901 E. 10th Street Bloomington, IN, 47408, USA. Electronic address: danspen@iu.edu.
Yue YR; Paul H. Chook Department of Information Systems and Statistics, Baruch College, The City University of New York, New York, NY, 10010, USA.
Bolin D; CEMSE Division, King Abdullah University of Science and Technology, Thuwal, Makkah Province, 23955-6900, Saudi Arabia.
Ryan S; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
Mejia AF; Department of Statistics, Indiana University, Myles Brand Hall E104 901 E. 10th Street Bloomington, IN, 47408, USA.

Neuroimage ; 249: 118908, 2022 04 01.

Article de En | MEDLINE | ID: mdl-35032660

Sujet(s)
Mots clés

Bayesian; Cortical surface; General linear model; Task fMRI

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Analyse et exécution des tâches / Imagerie par résonance magnétique / Cortex cérébral / Connectome / Modèles théoriques Type d'étude: Prognostic_studies Limites: Adult / Humans Langue: En Journal: Neuroimage Sujet du journal: DIAGNOSTICO POR IMAGEM Année: 2022 Type de document: Article Pays de publication: États-Unis d'Amérique

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