Literature DB >> 21376815

Imagery for shapes activates position-invariant representations in human visual cortex.

Mark Stokes1, Ana Saraiva, Gustavo Rohenkohl, Anna C Nobre.   

Abstract

In this study, we show that top-down control mechanisms engaged during visual imagery of simple shapes (letters X and O) can selectively activate position-invariant perceptual codes in visual areas specialised for shape processing, including lateral occipital complex (LOC). First, we used multivoxel pattern analysis (MVPA) to identify visual cortical areas that code for shape within a position-invariant reference frame. Next, we examined the similarity between these high-level visual codes and patterns elicited while participants imagined the corresponding stimulus at central fixation. Our results demonstrate that imagery engages object-centred codes in higher-level visual areas. More generally, our results also demonstrate that top-down control mechanisms are able to generate highly specific patterns of visual activity in the absence of corresponding sensory input. We argue that a general model of top-down control must account for dynamic modulation of functional connectivity between high-level control centres and overlapping neural codes in visual cortex.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21376815     DOI: 10.1016/j.neuroimage.2011.02.071

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  13 in total

1.  Probing principles of large-scale object representation: category preference and location encoding.

Authors:  Radoslaw Martin Cichy; Philipp Sterzer; Jakob Heinzle; Lloyd T Elliott; Fernando Ramirez; John-Dylan Haynes
Journal:  Hum Brain Mapp       Date:  2012-02-27       Impact factor: 5.038

Review 2.  A review and synthesis of the first 20 years of PET and fMRI studies of heard speech, spoken language and reading.

Authors:  Cathy J Price
Journal:  Neuroimage       Date:  2012-05-12       Impact factor: 6.556

3.  Neural portraits of perception: reconstructing face images from evoked brain activity.

Authors:  Alan S Cowen; Marvin M Chun; Brice A Kuhl
Journal:  Neuroimage       Date:  2014-03-17       Impact factor: 6.556

4.  Disentangling visual imagery and perception of real-world objects.

Authors:  Sue-Hyun Lee; Dwight J Kravitz; Chris I Baker
Journal:  Neuroimage       Date:  2011-10-24       Impact factor: 6.556

Review 5.  On the perception of probable things: neural substrates of associative memory, imagery, and perception.

Authors:  Thomas D Albright
Journal:  Neuron       Date:  2012-04-26       Impact factor: 17.173

6.  Towards an intuitive communication-BCI: decoding visually imagined characters from the early visual cortex using high-field fMRI.

Authors:  Max A van den Boom; Mariska J Vansteensel; Melissa I Koppeschaar; Matthijs A H Raemaekers; Nick F Ramsey
Journal:  Biomed Phys Eng Express       Date:  2019-08-02

7.  Distinct Representational Structure and Localization for Visual Encoding and Recall during Visual Imagery.

Authors:  Wilma A Bainbridge; Elizabeth H Hall; Chris I Baker
Journal:  Cereb Cortex       Date:  2021-03-05       Impact factor: 5.357

8.  Hemispheric Differences within the Fronto-Parietal Network Dynamics Underlying Spatial Imagery.

Authors:  Alexander T Sack; Teresa Schuhmann
Journal:  Front Psychol       Date:  2012-06-28

Review 9.  Multivariate cross-classification: applying machine learning techniques to characterize abstraction in neural representations.

Authors:  Jonas T Kaplan; Kingson Man; Steven G Greening
Journal:  Front Hum Neurosci       Date:  2015-03-25       Impact factor: 3.169

Review 10.  Neural pathways conveying novisual information to the visual cortex.

Authors:  Wen Qin; Chunshui Yu
Journal:  Neural Plast       Date:  2013-06-06       Impact factor: 3.599

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