Identifying and Quantifying Multisensory Integration: A Tutorial Review
Autor: | Ryan A. Stevenson, Nicholas Altieri, LeAnne R. Kurela, Juliane Krueger Fister, Dipanwita Ghose, Aaron R. Nidiffer, Diana K. Sarko, Mark T. Wallace, Thomas W. James, Justin K. Siemann |
---|---|
Rok vydání: | 2014 |
Předmět: |
Sensory processing
Process (engineering) media_common.quotation_subject medicine.medical_treatment Electroencephalography Machine learning computer.software_genre Perception medicine Animals Humans Process information Radiology Nuclear Medicine and imaging Computer vision media_common Neurons Brain Mapping Radiological and Ultrasound Technology medicine.diagnostic_test business.industry Brain Multisensory integration Magnetic Resonance Imaging Neurology Data Interpretation Statistical Neurology (clinical) Artificial intelligence Anatomy Psychology Functional magnetic resonance imaging business Host (network) computer |
Zdroj: | Brain Topography. 27:707-730 |
ISSN: | 1573-6792 0896-0267 |
DOI: | 10.1007/s10548-014-0365-7 |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: |