Literature DB >> 26275965

The multisensory function of the human primary visual cortex.

Micah M Murray1, Antonia Thelen2, Gregor Thut3, Vincenzo Romei4, Roberto Martuzzi5, Pawel J Matusz6.   

Abstract

It has been nearly 10 years since Ghazanfar and Schroeder (2006) proposed that the neocortex is essentially multisensory in nature. However, it is only recently that sufficient and hard evidence that supports this proposal has accrued. We review evidence that activity within the human primary visual cortex plays an active role in multisensory processes and directly impacts behavioural outcome. This evidence emerges from a full pallet of human brain imaging and brain mapping methods with which multisensory processes are quantitatively assessed by taking advantage of particular strengths of each technique as well as advances in signal analyses. Several general conclusions about multisensory processes in primary visual cortex of humans are supported relatively solidly. First, haemodynamic methods (fMRI/PET) show that there is both convergence and integration occurring within primary visual cortex. Second, primary visual cortex is involved in multisensory processes during early post-stimulus stages (as revealed by EEG/ERP/ERFs as well as TMS). Third, multisensory effects in primary visual cortex directly impact behaviour and perception, as revealed by correlational (EEG/ERPs/ERFs) as well as more causal measures (TMS/tACS). While the provocative claim of Ghazanfar and Schroeder (2006) that the whole of neocortex is multisensory in function has yet to be demonstrated, this can now be considered established in the case of the human primary visual cortex.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Brain imaging; Brain mapping; Cross-modal; Humans; Multisensory; Primary cortex; Vision

Mesh:

Year:  2015        PMID: 26275965     DOI: 10.1016/j.neuropsychologia.2015.08.011

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  46 in total

1.  Contextual factors multiplex to control multisensory processes.

Authors:  Beatriz R Sarmiento; Pawel J Matusz; Daniel Sanabria; Micah M Murray
Journal:  Hum Brain Mapp       Date:  2015-10-15       Impact factor: 5.038

2.  Multisensory Integration Reveals Temporal Coding across a Human Sensorimotor Network.

Authors:  Bartlett D Moore; Eleonora Bartoli; Suganya Karunakaran; Kamin Kim
Journal:  J Neurosci       Date:  2015-10-28       Impact factor: 6.167

3.  Electrocorticography reveals continuous auditory and visual speech tracking in temporal and occipital cortex.

Authors:  Cristiano Micheli; Inga M Schepers; Müge Ozker; Daniel Yoshor; Michael S Beauchamp; Jochem W Rieger
Journal:  Eur J Neurosci       Date:  2018-08-12       Impact factor: 3.386

4.  Cross-modal phonetic encoding facilitates the McGurk illusion and phonemic restoration.

Authors:  Noelle T Abbott; Antoine J Shahin
Journal:  J Neurophysiol       Date:  2018-10-10       Impact factor: 2.714

5.  An oscillatory neural network model that demonstrates the benefits of multisensory learning.

Authors:  A Ravishankar Rao
Journal:  Cogn Neurodyn       Date:  2018-06-07       Impact factor: 5.082

Review 6.  The COGs (context, object, and goals) in multisensory processing.

Authors:  Sanne ten Oever; Vincenzo Romei; Nienke van Atteveldt; Salvador Soto-Faraco; Micah M Murray; Pawel J Matusz
Journal:  Exp Brain Res       Date:  2016-03-01       Impact factor: 1.972

7.  Overlapping Anatomical Networks Convey Cross-Modal Suppression in the Sighted and Coactivation of "Visual" and Auditory Cortex in the Blind.

Authors:  Irina Anurova; Synnöve Carlson; Josef P Rauschecker
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

8.  Direct Structural Connections between Auditory and Visual Motion-Selective Regions in Humans.

Authors:  Ane Gurtubay-Antolin; Ceren Battal; Chiara Maffei; Mohamed Rezk; Stefania Mattioni; Jorge Jovicich; Olivier Collignon
Journal:  J Neurosci       Date:  2021-01-29       Impact factor: 6.167

9.  Audio-visual spatial alignment improves integration in the presence of a competing audio-visual stimulus.

Authors:  Justin T Fleming; Abigail L Noyce; Barbara G Shinn-Cunningham
Journal:  Neuropsychologia       Date:  2020-06-20       Impact factor: 3.139

10.  Comparing Auditory-Only and Audiovisual Word Learning for Children With Hearing Loss.

Authors:  Jena McDaniel; Stephen Camarata; Paul Yoder
Journal:  J Deaf Stud Deaf Educ       Date:  2018-10-01
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