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Age-Related Differences in Spatial Frequency Processing during Scene Categorization.

Ramanoël S, Kauffmann L, Cousin E, Dojat M, Peyrin C - PLoS ONE (2015)

Bottom Line: Behavioral results revealed performance degradation for elderly participants only when categorizing HSF scenes.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).Activation of temporo-parietal regions was greater in elderly participants irrespective of spatial frequencies.

View Article: PubMed Central - PubMed

Affiliation: Univ. Grenoble Alpes, LPNC, F-38000 Grenoble, France; CNRS, LPNC, F-38000 Grenoble, France; Univ. Grenoble Alpes, GIN, F-38000 Grenoble, France.

ABSTRACT
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.

No MeSH data available.


Mean no-response error rates (%), mean false categorization rates (%) and mean correct reaction times (in milliseconds) for the categorization of non-filtered scenes (NF), low-spatial frequency scenes (LSF), and high-spatial frequency scenes (HSF).Error bars correspond to the standard error.
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pone.0134554.g002: Mean no-response error rates (%), mean false categorization rates (%) and mean correct reaction times (in milliseconds) for the categorization of non-filtered scenes (NF), low-spatial frequency scenes (LSF), and high-spatial frequency scenes (HSF).Error bars correspond to the standard error.

Mentions: The ANOVA on mNR (Fig 2) revealed that elderly participants responded less often than young participants (Mean ± SD: 17.5 ± 10.9% and 1.9 ± 3.4%, respectively; F1,22 = 26.54, p < 0.001). The expected Group x Spatial frequency interaction was significant (F2,44 = 37.35, p < 0.001). Planned comparison showed that elderly participants responded less often when categorizing HSF scenes (49.2 ± 26.9%) than NF scenes (0.3 ± 0.8%; F1,22 = 80.79, p < 0.001) and LSF scenes (2.8 ± 5.0%; F1,22 = 85.01, p < 0.001), and when categorizing LSF than NF scenes (F1,22 = 7.52, p < 0.05). For young participants, there was no effect of spatial frequencies (NF: 1.2 ± 3.6%; LSF: 1.3 ± 2.8%; HSF: 3.3 ± 3.90%; all F1,22 < 1). In addition, elderly participants responded less often than young participants only when categorizing HSF scenes (F1,22 = 34.67, p < 0.001; NF: F1,22 < 1; LSF; F1,22 = 1.01, p = 0.33). The Group x Spatial frequency x Category interaction was significant (F2,44 = 5.76, p < 0.01). Planned comparison revealed a significant Spatial frequency x Category interaction only for elderly participants (F2,44 = 4.77, p < 0.05; young participants: F2,44 = 1.80, p = 0.18) due to the fact that they only responded less often for categorizing indoor than outdoor scenes filtered in HSF (51.1 ± 27.2% and 47.4 ± 26.6%, respectively; F1,22 = 11.03, p < 0.01; NF: F1,22 = 1.11, p = 0.305; LSF: F1,22 = 3.13, p = 0.09).


Age-Related Differences in Spatial Frequency Processing during Scene Categorization.

Ramanoël S, Kauffmann L, Cousin E, Dojat M, Peyrin C - PLoS ONE (2015)

Mean no-response error rates (%), mean false categorization rates (%) and mean correct reaction times (in milliseconds) for the categorization of non-filtered scenes (NF), low-spatial frequency scenes (LSF), and high-spatial frequency scenes (HSF).Error bars correspond to the standard error.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4543582&req=5

pone.0134554.g002: Mean no-response error rates (%), mean false categorization rates (%) and mean correct reaction times (in milliseconds) for the categorization of non-filtered scenes (NF), low-spatial frequency scenes (LSF), and high-spatial frequency scenes (HSF).Error bars correspond to the standard error.
Mentions: The ANOVA on mNR (Fig 2) revealed that elderly participants responded less often than young participants (Mean ± SD: 17.5 ± 10.9% and 1.9 ± 3.4%, respectively; F1,22 = 26.54, p < 0.001). The expected Group x Spatial frequency interaction was significant (F2,44 = 37.35, p < 0.001). Planned comparison showed that elderly participants responded less often when categorizing HSF scenes (49.2 ± 26.9%) than NF scenes (0.3 ± 0.8%; F1,22 = 80.79, p < 0.001) and LSF scenes (2.8 ± 5.0%; F1,22 = 85.01, p < 0.001), and when categorizing LSF than NF scenes (F1,22 = 7.52, p < 0.05). For young participants, there was no effect of spatial frequencies (NF: 1.2 ± 3.6%; LSF: 1.3 ± 2.8%; HSF: 3.3 ± 3.90%; all F1,22 < 1). In addition, elderly participants responded less often than young participants only when categorizing HSF scenes (F1,22 = 34.67, p < 0.001; NF: F1,22 < 1; LSF; F1,22 = 1.01, p = 0.33). The Group x Spatial frequency x Category interaction was significant (F2,44 = 5.76, p < 0.01). Planned comparison revealed a significant Spatial frequency x Category interaction only for elderly participants (F2,44 = 4.77, p < 0.05; young participants: F2,44 = 1.80, p = 0.18) due to the fact that they only responded less often for categorizing indoor than outdoor scenes filtered in HSF (51.1 ± 27.2% and 47.4 ± 26.6%, respectively; F1,22 = 11.03, p < 0.01; NF: F1,22 = 1.11, p = 0.305; LSF: F1,22 = 3.13, p = 0.09).

Bottom Line: Behavioral results revealed performance degradation for elderly participants only when categorizing HSF scenes.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).Activation of temporo-parietal regions was greater in elderly participants irrespective of spatial frequencies.

View Article: PubMed Central - PubMed

Affiliation: Univ. Grenoble Alpes, LPNC, F-38000 Grenoble, France; CNRS, LPNC, F-38000 Grenoble, France; Univ. Grenoble Alpes, GIN, F-38000 Grenoble, France.

ABSTRACT
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.

No MeSH data available.