Investigating human audio-visual object perception with a combination of hypothesis-generating and hypothesis-testing fMRI analysis tools

Naumer, Marcus J; van den Bosch, Jasper J F; Wibral, Michael; Kohler, Axel; Singer, Wolf; Kaiser, Jochen; van de Ven, Vincent; Muckli, Lars (2011). Investigating human audio-visual object perception with a combination of hypothesis-generating and hypothesis-testing fMRI analysis tools. Experimental brain research, 213(2-3), pp. 309-20. Berlin: Springer 10.1007/s00221-011-2669-0

[img]
Preview
Text
Naumer2011_Article_InvestigatingHumanAudio-visual.pdf - Published Version
Available under License Creative Commons: Attribution-Noncommercial (CC-BY-NC).

Download (622kB) | Preview

Primate multisensory object perception involves distributed brain regions. To investigate the network character of these regions of the human brain, we applied data-driven group spatial independent component analysis (ICA) to a functional magnetic resonance imaging (fMRI) data set acquired during a passive audio-visual (AV) experiment with common object stimuli. We labeled three group-level independent component (IC) maps as auditory (A), visual (V), and AV, based on their spatial layouts and activation time courses. The overlap between these IC maps served as definition of a distributed network of multisensory candidate regions including superior temporal, ventral occipito-temporal, posterior parietal and prefrontal regions. During an independent second fMRI experiment, we explicitly tested their involvement in AV integration. Activations in nine out of these twelve regions met the max-criterion (A < AV > V) for multisensory integration. Comparison of this approach with a general linear model-based region-of-interest definition revealed its complementary value for multisensory neuroimaging. In conclusion, we estimated functional networks of uni- and multisensory functional connectivity from one dataset and validated their functional roles in an independent dataset. These findings demonstrate the particular value of ICA for multisensory neuroimaging research and using independent datasets to test hypotheses generated from a data-driven analysis.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy > Psychiatric Neurophysiology [discontinued]

UniBE Contributor:

Kohler, Axel

ISSN:

0014-4819

Publisher:

Springer

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:24

Last Modified:

05 Dec 2022 14:07

Publisher DOI:

10.1007/s00221-011-2669-0

PubMed ID:

21503649

Web of Science ID:

000293959200018

BORIS DOI:

10.48350/8314

URI:

https://boris.unibe.ch/id/eprint/8314 (FactScience: 213833)

Actions (login required)

Edit item Edit item
Provide Feedback