title: Functional neuroimaging studies of category specificity in object recognition: a critical review and meta-analysis.
abstract: Functional neuroimaging studies in which the cortical organization for semantic knowledge has been addressed have revealed interesting dissociations in the recognition of different object categories, such as faces, natural objects, and manufactured objects. The present paper critically reviews these studies and performs a meta-analysis of stereotactic coordinates to determine whether category membership predicts patterns of brain activation across different studies. This meta-analysis revealed that, in the ventral temporal cortex, recognition of manufactured objects activates more medial aspects of the fusiform gyrus, as compared with natural object or face recognition. Face recognition activates more inferior aspects of the ventral temporal cortex, as compared with manufactured object recognition. The recognition task used--viewing, matching, or naming--also predicted brain activation patterns. Specifically, matching tasks recruit more inferior occipital regions than do either naming or viewing tasks, whereas naming tasks recruit more anterior ventral temporal sites than do either viewing or matching tasks. These findings indicate that the cognitive demands of a particular recognition task are as predictive of cortical activation patterns as is category membership.
authors.affiliation: Department of Anatomy and Neurobiology, University of Kentucky College of Medicine, 800 Rose Street, Davis-Mills Building Room 308, Lexington, KY 40536, USA. jjoseph@pop.uky.edu
authors.forename: J E
authors.initials: JE
authors.lastname: Joseph
mesh_terms: D001931:Brain Mapping; D002540:Cerebral Cortex / Q000502:physiology*; D004193:Discrimination Learning / Q000502:physiology*; D006801:Humans; D008279:Magnetic Resonance Imaging; D011939:Mental Recall / Q000502:physiology*; D010364:Pattern Recognition, Visual / Q000502:physiology*; D013702:Temporal Lobe / Q000502:physiology; D014055:Tomography, Emission-Computed