ArticleFrontiers in human neuroscience2015
Lateral and Medial Ventral Occipitotemporal Regions Interact During the Recognition of Images Revealed from Noise.
Article in Frontiers in human neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Dynamic brain communication underlying face pareidolia in male schizophrenia.Schizophrenia (Heidelberg, Germany) · 2025Article
- Decomposing working memory subprocesses with the reference-back paradigm: Event-related potentials and age-related differences.PloS one · 2024Article
- Neural interactions in occipitotemporal cortex during basic human movement perception by dynamic causal modeling.Brain imaging and behavior · 2021Article
- Emotion Discrimination Using Spatially Compact Regions of Interest Extracted from Imaging EEG Activity.Frontiers in computational neuroscience · 2016Article
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Authors and funding
8 authors.
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Abstract
Several studies suggest different functional roles for the medial and the lateral sections of the ventral visual cortex in object recognition. Texture and surface information is processed in medial sections, while shape information is processed in lateral sections. This begs the question whether and how these functionally specialized sections interact with each other and with early visual cortex to facilitate object recognition. In the current research, we set out to answer this question. In an fMRI study, 13 subjects viewed and recognized images of objects and animals that were gradually revealed from noise while their brains were being scanned. We applied dynamic causal modeling (DCM)-a method to characterize network interactions-to determine the modulatory effect of object recognition on a network comprising the primary visual cortex (V1), the lingual gyrus (LG) in medial ventral cortex and the lateral occipital cortex (LO). We found that object recognition modulated the bilateral connectivity between LG and LO. Moreover, the feed-forward connectivity from V1 to LG and LO was modulated, while there was no evidence for feedback from these regions to V1 during object recognition. In particular, the interaction between medial and lateral areas supports a framework in which visual recognition of objects is achieved by networked regions that integrate information on image statistics, scene content and shape-rather than by a single categorically specialized region-within the ventral visual cortex.
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