English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Characterization of Multisensory Integration with fMRI: Experimental Design, Statistical Analysis, and Interpretation

Noppeney, U. (2012). Characterization of Multisensory Integration with fMRI: Experimental Design, Statistical Analysis, and Interpretation. In M. Murray, & M. Wallace (Eds.), The neural bases of multisensory processes (pp. 233-252). Boca Raton, FL, USA: CRC Press.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-B88C-E Version Permalink: http://hdl.handle.net/21.11116/0000-0001-97AF-0
Genre: Book Chapter

Files

show Files

Creators

show
hide
 Creators:
Noppeney, U1, 2, Author              
Affiliations:
1Research Group Cognitive Neuroimaging, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497804              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: This chapter reviews the potential and limitations of functional magnetic resonance imaging (fMRI) in characterizing the neural processes underlying multisensory integration. The neural basis of multisensory integration can be characterized from two distinct perspectives. From the perspective of functional specialization, we aim to identify regions where information from different senses converges and/or is integrated. From the perspective of functional integration, we investigate how information from multiple sensory regions is integrated via interactions among brain regions. Combining these two perspectives, this chapter discusses experimental design, analysis approaches, and interpretational limitations of fMRI results. The first section describes univariate statistical analyses of fMRI data and emphasizes the interpretational ambiguities of various statistical criteria that are commonly used for the identification of multisensory integration sites. The second section explores the potential and limitations of multivariate and pattern classifier approaches in multisensory integration. The third section introduces effective connectivity analyses that investigate how multisensory integration emerges from distinct interactions among brain regions. The complementary strengths of data-driven and hypothesis-driven effective connectivity analyses will be discussed. We conclude by emphasizing that the combined potentials of these various analysis approaches may help us to overcome or at least ameliorate the interpretational ambiguities associated with each analysis when applied in isolation.

Details

show
hide
Language(s):
 Dates: 2012-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1201/b11092-17
BibTex Citekey: 6652
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: The neural bases of multisensory processes
Source Genre: Book
 Creator(s):
Murray, MM, Editor
Wallace, MT, Editor
Affiliations:
-
Publ. Info: Boca Raton, FL, USA : CRC Press
Pages: - Volume / Issue: - Sequence Number: 13 Start / End Page: 233 - 252 Identifier: ISBN: 978-1-439-81217-4

Source 2

show
hide
Title: Frontiers in Neuroscience
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -