ReviewHandbook of clinical neurology2022
Domain-specific connectivity drives the organization of object knowledge in the brain.
Review in Handbook of clinical neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- Article
- Rethinking category-selectivity in human visual cortex.Cognitive neuroscience · 2026Review
- The Emergence of Topography and Hemispheric Lateralization in High-Level Vision.Quarterly journal of experimental psychology (2006) · 2026Review
- Object-directed action representations are componentially built in parietal cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Individual variation in the functional lateralization of human ventral temporal cortex: Local competition and long-range coupling.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Individual variation in the functional lateralization of human ventral temporal cortex: Local competition and long-range coupling.bioRxiv : the preprint server for biology · 2025Article
- Neurobiologically informed graph theory analysis of the language system.Network neuroscience (Cambridge, Mass.) · 2025Article
- Contrastive learning explains the emergence and function of visual category-selective regions.Science advances · 2024Article
- Graspable foods and tools elicit similar responses in visual cortex.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Reciprocal interactions among parietal and occipito-temporal representations support everyday object-directed actions.Neuropsychologia · 2024Article
- Graspable foods and tools elicit similar responses in visual cortex.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
The goal of this chapter is to review neuropsychological and functional MRI findings that inform a theory of the causes of functional specialization for semantic categories within occipito-temporal cortex-the ventral visual processing pathway. The occipito-temporal pathway supports visual object processing and recognition. The theoretical framework that drives this review considers visual object recognition through the lens of how "downstream" systems interact with the outputs of visual recognition processes. Those downstream processes include conceptual interpretation, grasping and object use, navigating and orienting in an environment, physical reasoning about the world, and inferring future actions and the inner mental states of agents. The core argument of this chapter is that innately constrained connectivity between occipito-temporal areas and other regions of the brain is the basis for the emergence of neural specificity for a limited number of semantic domains in the brain.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.