Literature DB >> 22905819

The neural selection and integration of actions and objects: an fMRI study.

Eun Young Yoon1, Glyn W Humphreys, Sanjay Kumar, Pia Rotshtein.   

Abstract

There is considerable evidence that there are anatomically and functionally distinct pathways for action and object recognition. However, little is known about how information about action and objects is integrated. This study provides fMRI evidence for task-based selection of brain regions associated with action and object processing, and on how the congruency between the action and the object modulates neural response. Participants viewed videos of objects used in congruent or incongruent actions and attended either to the action or the object in a one-back procedure. Attending to the action led to increased responses in a fronto-parietal action-associated network. Attending to the object activated regions within a fronto-inferior temporal network. Stronger responses for congruent action-object clips occurred in bilateral parietal, inferior temporal, and putamen. Distinct cortical and thalamic regions were modulated by congruency in the different tasks. The results suggest that (i) selective attention to action and object information is mediated through separate networks, (ii) object-action congruency evokes responses in action planning regions, and (iii) the selective activation of nuclei within the thalamus provides a mechanism to integrate task goals in relation to the congruency of the perceptual information presented to the observer.

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Mesh:

Year:  2012        PMID: 22905819     DOI: 10.1162/jocn_a_00256

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  10 in total

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Authors:  Markus Hoeren; Christoph P Kaller; Volkmar Glauche; Magnus-Sebastian Vry; Michel Rijntjes; Farsin Hamzei; Cornelius Weiller
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2.  Action and semantic tool knowledge - Effective connectivity in the underlying neural networks.

Authors:  Nina N Kleineberg; Anna Dovern; Ellen Binder; Christian Grefkes; Simon B Eickhoff; Gereon R Fink; Peter H Weiss
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3.  Deep recurrent neural network reveals a hierarchy of process memory during dynamic natural vision.

Authors:  Junxing Shi; Haiguang Wen; Yizhen Zhang; Kuan Han; Zhongming Liu
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4.  Human-Object Interactions Are More than the Sum of Their Parts.

Authors:  Christopher Baldassano; Diane M Beck; Li Fei-Fei
Journal:  Cereb Cortex       Date:  2017-03-01       Impact factor: 5.357

5.  Shared neural processes support semantic control and action understanding.

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Journal:  Brain Lang       Date:  2015-02-03       Impact factor: 2.381

Review 6.  The tool in the brain: apraxia in ADL. Behavioral and neurological correlates of apraxia in daily living.

Authors:  Marta M N Bieńkiewicz; Marie-Luise Brandi; Georg Goldenberg; Charmayne M L Hughes; Joachim Hermsdörfer
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7.  The affordance-matching hypothesis: how objects guide action understanding and prediction.

Authors:  Patric Bach; Toby Nicholson; Matthew Hudson
Journal:  Front Hum Neurosci       Date:  2014-05-12       Impact factor: 3.169

8.  Hand-Selective Visual Regions Represent How to Grasp 3D Tools: Brain Decoding during Real Actions.

Authors:  Ethan Knights; Courtney Mansfield; Diana Tonin; Janak Saada; Fraser W Smith; Stéphanie Rossit
Journal:  J Neurosci       Date:  2021-05-10       Impact factor: 6.167

9.  The neural network for tool-related cognition: An activation likelihood estimation meta-analysis of 70 neuroimaging contrasts.

Authors:  Ryo Ishibashi; Gorana Pobric; Satoru Saito; Matthew A Lambon Ralph
Journal:  Cogn Neuropsychol       Date:  2016-06-30       Impact factor: 2.468

10.  Environmental-friendly Eco-labeling Matters: Evidences From an ERPs Study.

Authors:  Jia Jin; Xiaodong Dou; Liang Meng; Haihong Yu
Journal:  Front Hum Neurosci       Date:  2018-10-12       Impact factor: 3.169

  10 in total

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