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Title: Tools of the Trade Multivoxel pattern analysis in fMRI: a practical introduction for social and affective neuroscientists
Abstract The family of neuroimaging analytical techniques known as multivoxel pattern analysis (MVPA) has dramatically increased in popularity over the past decade, particularly in social and affective neuroscience research using functional magnetic resonance imaging (fMRI). MVPA examines patterns of neural responses, rather than analyzing single voxel- or region-based values, as is customary in conventional univariate analyses. Here, we provide a practical introduction to MVPA and its most popular variants (namely, representational similarity analysis (RSA) and decoding analyses, such as classification using machine learning) for social and affective neuroscientists of all levels, particularly those new to such methods. We discuss how MVPA differs from traditional mass-univariate analyses, the benefits MVPA offers to social neuroscientists, experimental design and analysis considerations, step-by-step instructions for how to implement specific analyses in one’s own dataset and issues that are currently facing research using MVPA methods.  more » « less
Award ID(s):
1835239
PAR ID:
10218520
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
Social Cognitive and Affective Neuroscience
Volume:
15
Issue:
4
ISSN:
1749-5016
Page Range / eLocation ID:
487 to 509
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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