Age-Related Differences in Spatial Frequency Processing during Scene Categorization.
Visual analysis of real-life scenes starts with the parallel extraction of different visual elementary features at different spatial frequencies. The global shape of the scene is mainly contained in low spatial frequencies (LSF), and the edges and borders of objects are mainly contained in high spatial frequencies (HSF). The present fMRI study investigates the effect of age on the spatial frequency processing in scenes. Young and elderly participants performed a categorization task (indoor vs. outdoor) on LSF and HSF scenes. Behavioral results revealed performance degradation for elderly participants only when categorizing HSF scenes. At the cortical level, young participants exhibited retinotopic organization of spatial frequency processing, characterized by medial activation in the anterior part of the occipital lobe for LSF scenes (compared to HSF), and the lateral activation in the posterior part of the occipital lobe for HSF scenes (compared to LSF). Elderly participants showed activation only in the anterior part of the occipital lobe for LSF scenes (compared to HSF), but not significant activation for HSF (compared to LSF). Furthermore, a ROI analysis revealed that the parahippocampal place area, a scene-selective region, was less activated for HSF than LSF for elderly participants only. Comparison between groups revealed greater activation of the right inferior occipital gyrus in young participants than in elderly participants for HSF. Activation of temporo-parietal regions was greater in elderly participants irrespective of spatial frequencies. The present findings indicate a specific low-contrasted HSF deficit for normal elderly people, in association with an occipito-temporal cortex dysfunction, and a functional reorganization of the categorization of filtered scenes.
Univ. Grenoble Alpes, LPNC, F-38000 Grenoble, France; CNRS, LPNC, F-38000 Grenoble, France; Univ. Grenoble Alpes, GIN, F-38000 Grenoble, France.
Stephen
S
Ramanoël
Univ. Grenoble Alpes, LPNC, F-38000 Grenoble, France; CNRS, LPNC, F-38000 Grenoble, France.
Louise
L
Kauffmann
Univ. Grenoble Alpes, LPNC, F-38000 Grenoble, France; CNRS, LPNC, F-38000 Grenoble, France; UMS IRMaGe, F-38000 Grenoble, France.
Emilie
E
Cousin
Univ. Grenoble Alpes, GIN, F-38000 Grenoble, France; INSERM U836, GIN, F-38000 Grenoble, France.
Michel
M
Dojat
Univ. Grenoble Alpes, LPNC, F-38000 Grenoble, France; CNRS, LPNC, F-38000 Grenoble, France.
Carole
C
Peyrin
D000293:Adolescent; D000328:Adult; D000368:Aged; D000375:Aging; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D009778:Occipital Lobe / Q000502:physiology; D010364:Pattern Recognition, Visual; D010775:Photic Stimulation; D011930:Reaction Time; D013028:Space Perception; D065855:Spatial Processing; D014796:Visual Perception; D055815:Young Adult