Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS.

ABSTRACT: The MRI environment restricts the types of populations and tasks that can be studied by cognitive neuroscientists (e.g., young infants, face-to-face communication). FNIRS is a neuroimaging modality that records the same physiological signal as fMRI but without the constraints of MRI, and with better spatial localization than EEG. However, research in the fNIRS community largely lacks the analytic sophistication of analogous fMRI work, restricting the application of this imaging technology. The current paper presents a method of multivariate pattern analysis for fNIRS that allows the authors to decode the infant mind (a key fNIRS population). Specifically, multivariate pattern analysis (MVPA) employs a correlation-based decoding method where a group model is constructed for all infants exce

SUBMITTER: Emberson LL 

PROVIDER: S-EPMC5398514 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature