title: Using model-based functional MRI to locate working memory updates and declarative memory retrievals in the fronto-parietal network.
abstract: In this study, we used model-based functional MRI (fMRI) to locate two functions of the fronto-parietal network: declarative memory retrievals and updating of working memory. Because regions in the fronto-parietal network are by definition coherently active, locating functions within this network is difficult. To overcome this problem, we applied model-based fMRI, an analysis method that uses predictions of a computational model to inform the analysis. We applied model-based fMRI to five previously published datasets with associated computational cognitive models, and subsequently integrated the results in a meta-analysis. The meta-analysis showed that declarative memory retrievals correlated with activity in the inferior frontal gyrus and the anterior cingulate, whereas updating of working memory corresponded to activation in the inferior parietal lobule, as well as to activation around the inferior frontal gyrus and the anterior cingulate.
authors: Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA. jelmer@cmu.edu
authors: Jelmer P
authors: JP
authors: Borst
authors: John R
authors: JR
authors: Anderson
mesh_terms: D001931:Brain Mapping; D005625:Frontal Lobe / Q000502:physiology*; D006179:Gyrus Cinguli / Q000502:physiology; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008568:Memory / Q000502:physiology; D008570:Memory, Short-Term / Q000502:physiology*; D015201:Meta-Analysis as Topic; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D010296:Parietal Lobe / Q000502:physiology*; D011340:Problem Solving / Q000502:physiology; D011597:Psychomotor Performance / Q000502:physiology