Revealing the Semantic Association between Perception of Scenes and Significant Objects by Representational Similarity Analysis

Wang, Songnan; Cao, Linjing; Xu, Junhai; Zhang, Gaoyan; Lou, Yunxia; Liu, Baolin

doi:10.1016/j.neuroscience.2017.12.043

Cited by 6 publications

(2 citation statements)

References 40 publications

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“…When one or two objects were removed, the spatial structure of the scene was damaged, and the activation pattern could not provide enough information, which caused the low accuracy of pattern recognition. Therefore, we speculated that RSC is not recruited to process the semantic associations between scenes and objects, which is consistent with another research of our group about scene processing (Wang et al, 2018). According to recent studies, the OPA may pay more attention to local scene elements rather than global scene properties (Kamps et al, 2016a).…”

Section: Discussionsupporting

confidence: 88%

Investigating the Impact of the Missing Significant Objects in Scene Recognition Using Multivariate Pattern Analysis

Liu

et al. 2020

Front. Neurorobot.

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Significant objects in a scene can make a great contribution to scene recognition. Besides the three scene-selective regions: parahippocampal place area (PPA), retrosplenial complex (RSC), and occipital place area (OPA), some neuroimaging studies have shown that the lateral occipital complex (LOC) is also engaged in scene recognition processing. In this study, the multivariate pattern analysis was adopted to explore the object-scene association in scene recognition when different amounts of significant objects were masked. The scene classification only succeeded in the intact scene in the ROIs. In addition, the average signal intensity in LOC [including the lateral occipital cortex (LO) and the posterior fusiform area (pF)] decreased when there were masked objects, but such a decrease was not observed in scene-selective regions. These results suggested that LOC was sensitive to the loss of significant objects and mainly involved in scene recognition by the object-scene semantic association. The performance of the scene-selective areas may be mainly due to the fact that they responded to the change of the scene's entire attribute, such as the spatial information, when they were employed in the scene recognition processing. These findings further enrich our knowledge of the significant objects' influence on the activation pattern during the process of scene recognition.

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Section: Discussionsupporting

confidence: 88%

Investigating the Impact of the Missing Significant Objects in Scene Recognition Using Multivariate Pattern Analysis

Liu

et al. 2020

Front. Neurorobot.

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“…Another signi cant nding was the observed negative correlation between ALM and the TH of the lateral occipital region. The lateral occipital region plays a vital role in visual processing, speci cally in object recognition and spatial perception [43]. Furthermore, a decrease in the TH of the lateral occipital region was also evident among children with sensorineural hearing loss [44]and autism spectrum disorders [45].…”

Section: Discussionmentioning

confidence: 99%

Causal association of sarcopenia with brain cortical structure: A Mendelian randomization study

Zhan,

Zhang,

Lin

et al. 2023

Preprint

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Background Patients with sarcopenia are often accompanied by cognitive decline even affecting cortical structures, however, the causal link has not been explained. We used Mendelian randomization (MR) to explain the relationship between muscle and cortical structure. Methods Genome-wide association studies summary data of appendicular lean mass (ALM) in 450,243 UK Biobank participants were used to identify genetically predicted ALM. Data from 454,633 individuals from UK Biobank were used to assess genetically determined body fat percentage (BFP); 461,089 participants from the UK Biobank were used to evaluate genetically predicted right-hand grip strength (HGS-R); 461,026 participants from the UK Biobank were used to evaluate genetically predicted left-hand grip strength (HGS-L). Further, data from 51,665 patients from the ENIGMA Consortium were used to assess the relationship between ALM, BFP, HGS-L, and HGS-R with alterations in cortical thickness (TH) or surficial area (SA) of the brain. We used three different MR methods: inverse-variance weighted (IVW) analysis, MR-Egger regression, and weighted median test. For significant estimates, we further used Cochran’s Q test, MR-Egger intercept test, leave-one-out analyses and MR-PRESSO to assess heterogeneity. Results At the global level, the genetically predicted HGS-R significantly linked to the increase of global SA (β = 5048.6960 mm2, 95% CI: 2123.3746 mm2 to 7974.0174 mm2, P = 0.0007). At the functional region level, ALM was found to significantly decrease the TH of lateral occipital gyrus (β = -0.0079 mm, 95% CI: -0.0117 mm to -0.0041 mm, P = 4.17 × 10− 5) and notably increase the TH of pars opercularis gyrus(β = 0.008 mm, 95% CI: 0.0042 mm to 0.0117 mm, P = 3.12 × 10− 5);BFP significantly raised the TH of the superior parietal gyrus (β = -0.0136 mm, 95% CI: 0.0066 mm to 0.0207 mm, P = 1.61 × 10− 4). Conclusions Our study shows a significant association between sarcopenia and cortical structure, supporting the muscle-brain axis theory. Brain MRI could potentially be utilized for diagnosis of neuropsychiatric disorders in individuals with sarcopenia, and patients with sarcopenia may improve cognition through exercise.

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Age-related differences in the neural correlates of vivid remembering

et al. 2020

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Revealing the Semantic Association between Perception of Scenes and Significant Objects by Representational Similarity Analysis

Cited by 6 publications

References 40 publications

Investigating the Impact of the Missing Significant Objects in Scene Recognition Using Multivariate Pattern Analysis

Investigating the Impact of the Missing Significant Objects in Scene Recognition Using Multivariate Pattern Analysis

Causal association of sarcopenia with brain cortical structure: A Mendelian randomization study

Age-related differences in the neural correlates of vivid remembering

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