Literature DB >> 30759040

Human frontoparietal cortex represents behaviorally relevant target status based on abstract object features.

Margaret Henderson1, John T Serences1,2,3.   

Abstract

Searching for items that are useful given current goals, or "target" recognition, requires observers to flexibly attend to certain object properties at the expense of others. This could involve focusing on the identity of an object while ignoring identity-preserving transformations such as changes in viewpoint or focusing on its current viewpoint while ignoring its identity. To effectively filter out variation due to the irrelevant dimension, performing either type of task is likely to require high-level, abstract search templates. Past work has found target recognition signals in areas of ventral visual cortex and in subregions of parietal and frontal cortex. However, target status in these tasks is typically associated with the identity of an object, rather than identity-orthogonal properties such as object viewpoint. In this study, we used a task that required subjects to identify novel object stimuli as targets according to either identity or viewpoint, each of which was not predictable from low-level properties such as shape. We performed functional MRI in human subjects of both sexes and measured the strength of target-match signals in areas of visual, parietal, and frontal cortex. Our multivariate analyses suggest that the multiple-demand (MD) network, including subregions of parietal and frontal cortex, encodes information about an object's status as a target in the relevant dimension only, across changes in the irrelevant dimension. Furthermore, there was more target-related information in MD regions on correct compared with incorrect trials, suggesting a strong link between MD target signals and behavior. NEW & NOTEWORTHY Real-world target detection tasks, such as searching for a car in a crowded parking lot, require both flexibility and abstraction. We investigated the neural basis of these abilities using a task that required invariant representations of either object identity or viewpoint. Multivariate decoding analyses of our whole brain functional MRI data reveal that invariant target representations are most pronounced in frontal and parietal regions, and the strength of these representations is associated with behavioral performance.

Entities:  

Keywords:  fMRI; frontoparietal; invariance; object; target recognition

Mesh:

Year:  2019        PMID: 30759040      PMCID: PMC6485745          DOI: 10.1152/jn.00015.2019

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  5 in total

1.  Both default and multiple-demand regions represent semantic goal information.

Authors:  Xiuyi Wang; Zhiyao Gao; Jonathan Smallwood; Elizabeth Jefferies
Journal:  J Neurosci       Date:  2021-03-04       Impact factor: 6.167

2.  Shared Representational Formats for Information Maintained in Working Memory and Information Retrieved from Long-Term Memory.

Authors:  Vy A Vo; David W Sutterer; Joshua J Foster; Thomas C Sprague; Edward Awh; John T Serences
Journal:  Cereb Cortex       Date:  2022-02-19       Impact factor: 4.861

3.  Scene context shapes category representational geometry during processing of tools.

Authors:  Heath E Matheson; Frank E Garcea; Laurel J Buxbaum
Journal:  Cortex       Date:  2021-04-10       Impact factor: 4.644

Review 4.  Structure, function and connectivity fingerprints of the frontal eye field versus the inferior frontal junction: A comprehensive comparison.

Authors:  Marco Bedini; Daniel Baldauf
Journal:  Eur J Neurosci       Date:  2021-08-04       Impact factor: 3.698

5.  Flexible utilization of spatial- and motor-based codes for the storage of visuo-spatial information.

Authors:  Margaret M Henderson; Rosanne L Rademaker; John T Serences
Journal:  Elife       Date:  2022-05-06       Impact factor: 8.713

  5 in total

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