Auditory cues facilitate object movement processing in human extrastriate visual cortex during simulated self-motion: A pilot study.


Journal

Brain research
ISSN: 1872-6240
Titre abrégé: Brain Res
Pays: Netherlands
ID NLM: 0045503

Informations de publication

Date de publication:
15 08 2021
Historique:
received: 04 09 2020
revised: 12 04 2021
accepted: 13 04 2021
pubmed: 22 4 2021
medline: 22 1 2022
entrez: 21 4 2021
Statut: ppublish

Résumé

Visual segregation of moving objects is a considerable computational challenge when the observer moves through space. Recent psychophysical studies suggest that directionally congruent, moving auditory cues can substantially improve parsing object motion in such settings, but the exact brain mechanisms and visual processing stages that mediate these effects are still incompletely known. Here, we utilized multivariate pattern analyses (MVPA) of MRI-informed magnetoencephalography (MEG) source estimates to examine how crossmodal auditory cues facilitate motion detection during the observer's self-motion. During MEG recordings, participants identified a target object that moved either forward or backward within a visual scene that included nine identically textured objects simulating forward observer translation. Auditory motion cues 1) improved the behavioral accuracy of target localization, 2) significantly modulated the MEG source activity in the areas V2 and human middle temporal complex (hMT+), and 3) increased the accuracy at which the target movement direction could be decoded from hMT+ activity using MVPA. The increase of decoding accuracy by auditory cues in hMT+ was significant also when superior temporal activations in or near auditory cortices were regressed out from the hMT+ source activity to control for source estimation biases caused by point spread. Taken together, these results suggest that parsing object motion from self-motion-induced optic flow in the human extrastriate visual cortex can be facilitated by crossmodal influences from auditory system.

Identifiants

pubmed: 33882297
pii: S0006-8993(21)00346-2
doi: 10.1016/j.brainres.2021.147489
pmc: PMC8206020
mid: NIHMS1698637
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

147489

Subventions

Organisme : NIBIB NIH HHS
ID : P41 EB015896
Pays : United States
Organisme : NIDCD NIH HHS
ID : R01 DC016765
Pays : United States
Organisme : NIDCD NIH HHS
ID : R01 DC016915
Pays : United States
Organisme : NIDCD NIH HHS
ID : R01 DC017991
Pays : United States

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

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Auteurs

Lucia M Vaina (LM)

Brain and Vision Research Laboratory, Department of Biomedical Engineering, Boston University, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Harvard Medical School-Department of Neurology, Massachusetts General Hospital and Brigham and Women's Hospital, MA, USA.

Finnegan J Calabro (FJ)

Brain and Vision Research Laboratory, Department of Biomedical Engineering, Boston University, Boston, MA, USA; Department of Psychiatry and Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.

Abhisek Samal (A)

Brain and Vision Research Laboratory, Department of Biomedical Engineering, Boston University, Boston, MA, USA.

Kunjan D Rana (KD)

Brain and Vision Research Laboratory, Department of Biomedical Engineering, Boston University, Boston, MA, USA.

Fahimeh Mamashli (F)

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.

Sheraz Khan (S)

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.

Matti Hämäläinen (M)

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.

Seppo P Ahlfors (SP)

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.

Jyrki Ahveninen (J)

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA. Electronic address: jahveninen@mgh.harvard.edu.

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Classifications MeSH