Literature DB >> 35508386

The Dorsal Visual Pathway Represents Object-Centered Spatial Relations for Object Recognition.

Vladislav Ayzenberg1, Marlene Behrmann1.   

Abstract

Although there is mounting evidence that input from the dorsal visual pathway is crucial for object processes in the ventral pathway, the specific functional contributions of dorsal cortex to these processes remain poorly understood. Here, we hypothesized that dorsal cortex computes the spatial relations among an object's parts, a process crucial for forming global shape percepts, and transmits this information to the ventral pathway to support object categorization. Using fMRI with human participants (females and males), we discovered regions in the intraparietal sulcus (IPS) that were selectively involved in computing object-centered part relations. These regions exhibited task-dependent functional and effective connectivity with ventral cortex, and were distinct from other dorsal regions, such as those representing allocentric relations, 3D shape, and tools. In a subsequent experiment, we found that the multivariate response of posterior (p)IPS, defined on the basis of part-relations, could be used to decode object category at levels comparable to ventral object regions. Moreover, mediation and multivariate effective connectivity analyses further suggested that IPS may account for representations of part relations in the ventral pathway. Together, our results highlight specific contributions of the dorsal visual pathway to object recognition. We suggest that dorsal cortex is a crucial source of input to the ventral pathway and may support the ability to categorize objects on the basis of global shape.SIGNIFICANCE STATEMENT Humans categorize novel objects rapidly and effortlessly. Such categorization is achieved by representing an object's global shape structure, that is, the relations among object parts. Yet, despite their importance, it is unclear how part relations are represented neurally. Here, we hypothesized that object-centered part relations may be computed by the dorsal visual pathway, which is typically implicated in visuospatial processing. Using fMRI, we identified regions selective for the part relations in dorsal cortex. We found that these regions can support object categorization, and even mediate representations of part relations in the ventral pathway, the region typically thought to support object categorization. Together, these findings shed light on the broader network of brain regions that support object categorization.
Copyright © 2022 the authors.

Entities:  

Keywords:  dorsal stream; object recognition; shape perception; two visual streams; ventral stream; visual cortex

Mesh:

Year:  2022        PMID: 35508386      PMCID: PMC9186804          DOI: 10.1523/JNEUROSCI.2257-21.2022

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.709


  93 in total

1.  Illusory contours and specific regions of human extrastriate cortex: evidence from rTMS.

Authors:  F Brighina; R Ricci; A Piazza; S Scalia; G Giglia; B Fierro
Journal:  Eur J Neurosci       Date:  2003-06       Impact factor: 3.386

2.  Increasingly complex representations of natural movies across the dorsal stream are shared between subjects.

Authors:  Umut Güçlü; Marcel A J van Gerven
Journal:  Neuroimage       Date:  2015-12-24       Impact factor: 6.556

3.  Independent representation of parts and the relations between them: evidence from integrative agnosia.

Authors:  Marlene Behrmann; Mary A Peterson; Morris Moscovitch; Satoru Suzuki
Journal:  J Exp Psychol Hum Percept Perform       Date:  2006-10       Impact factor: 3.332

Review 4.  Visual Object Recognition: Do We (Finally) Know More Now Than We Did?

Authors:  Isabel Gauthier; Michael J Tarr
Journal:  Annu Rev Vis Sci       Date:  2016-08-03       Impact factor: 6.422

5.  Ventral and dorsal visual stream contributions to the perception of object shape and object location.

Authors:  Valentinos Zachariou; Roberta Klatzky; Marlene Behrmann
Journal:  J Cogn Neurosci       Date:  2013-09-03       Impact factor: 3.225

6.  The Representation of Object-Directed Action and Function Knowledge in the Human Brain.

Authors:  Quanjing Chen; Frank E Garcea; Bradford Z Mahon
Journal:  Cereb Cortex       Date:  2015-01-16       Impact factor: 5.357

7.  Effect of hemodynamic variability on Granger causality analysis of fMRI.

Authors:  Gopikrishna Deshpande; K Sathian; Xiaoping Hu
Journal:  Neuroimage       Date:  2009-12-11       Impact factor: 6.556

Review 8.  Integrative Benchmarking to Advance Neurally Mechanistic Models of Human Intelligence.

Authors:  Martin Schrimpf; Jonas Kubilius; Michael J Lee; N Apurva Ratan Murty; Robert Ajemian; James J DiCarlo
Journal:  Neuron       Date:  2020-09-11       Impact factor: 17.173

9.  Unsupervised neural network models of the ventral visual stream.

Authors:  Chengxu Zhuang; Siming Yan; Aran Nayebi; Martin Schrimpf; Michael C Frank; James J DiCarlo; Daniel L K Yamins
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-19       Impact factor: 12.779

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