NDLI: Identifying and Quantifying Multisensory Integration: A Tutorial Review

Content Provider	Springer Nature Link
Author	Stevenson, Ryan A. Ghose, Dipanwita Fister, Juliane Krueger Sarko, Diana K. Altieri, Nicholas A. Nidiffer, Aaron R. Kurela, LeAnne R. Siemann, Justin K. James, Thomas W. Wallace, Mark T.
Copyright Year	2014
Abstract	We process information from the world through multiple senses, and the brain must decide what information belongs together and what information should be segregated. One challenge in studying such multisensory integration is how to quantify the multisensory interactions, a challenge that is amplified by the host of methods that are now used to measure neural, behavioral, and perceptual responses. Many of the measures that have been developed to quantify multisensory integration (and which have been derived from single unit analyses), have been applied to these different measures without much consideration for the nature of the process being studied. Here, we provide a review focused on the means with which experimenters quantify multisensory processes and integration across a range of commonly used experimental methodologies. We emphasize the most commonly employed measures, including single- and multiunit responses, local field potentials, functional magnetic resonance imaging, and electroencephalography, along with behavioral measures of detection, accuracy, and response times. In each section, we will discuss the different metrics commonly used to quantify multisensory interactions, including the rationale for their use, their advantages, and the drawbacks and caveats associated with them. Also discussed are possible alternatives to the most commonly used metrics.
Starting Page	707
Ending Page	730
Page Count	24
File Format	PDF
ISSN	08960267
Journal	Brain Topography
Volume Number	27
Issue Number	6
e-ISSN	15736792
Language	English
Publisher	Springer US
Publisher Date	2014-04-11
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Audiovisual fMRI EEG Response time Accuracy Sensory processing Neurosciences Psychiatry Neurology
Content Type	Text
Resource Type	Article
Subject	Neurology Anatomy Radiology, Nuclear Medicine and Imaging Neurology (clinical) Radiological and Ultrasound Technology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Audiovisual Non-Verbal Dynamic Faces Elicit Converging fMRI and ERP Responses

Mismatch Negativity with Visual-only and Audiovisual Speech

Incorporating fMRI Functional Networks in EEG Source Imaging: A Bayesian Model Comparison Approach

Learning to Associate Auditory and Visual Stimuli: Behavioral and Neural Mechanisms

Audiovisual Non-Verbal Dynamic Faces Elicit Converging fMRI and ERP Responses

Inverse Effectiveness and Multisensory Interactions in Visual Event-Related Potentials with Audiovisual Speech

Not Just for Bimodal Neurons Anymore: The Contribution of Unimodal Neurons to Cortical Multisensory Processing

Hemodynamic and EEG Time-Courses During Unilateral Hand Movement in Patients with Cortical Myoclonus. An EEG-fMRI and EEG-TD-fNIRS Study

Behavioral Measures of Multisensory Integration: Bounds on Bimodal Detection Probability

Identifying and Quantifying Multisensory Integration: A Tutorial Review

Similar Documents

Audiovisual Non-Verbal Dynamic Faces Elicit Converging fMRI and ERP Responses

Mismatch Negativity with Visual-only and Audiovisual Speech

Incorporating fMRI Functional Networks in EEG Source Imaging: A Bayesian Model Comparison Approach

Learning to Associate Auditory and Visual Stimuli: Behavioral and Neural Mechanisms

Audiovisual Non-Verbal Dynamic Faces Elicit Converging fMRI and ERP Responses

Inverse Effectiveness and Multisensory Interactions in Visual Event-Related Potentials with Audiovisual Speech

Not Just for Bimodal Neurons Anymore: The Contribution of Unimodal Neurons to Cortical Multisensory Processing

Hemodynamic and EEG Time-Courses During Unilateral Hand Movement in Patients with Cortical Myoclonus. An EEG-fMRI and EEG-TD-fNIRS Study

Behavioral Measures of Multisensory Integration: Bounds on Bimodal Detection Probability

Identifying and Quantifying Multisensory Integration: A Tutorial Review