Multisubject, multimodal face processing

UC San Diego 2026 Dataset Open access

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Authors: DG Wakeman, RN Henson, Richard N. Henson
DOI: 10.82901/nemar.on000117
Cited by: 0

Abstract

A multi-subject, multi-modal neuroimaging dataset on face processing, combining structural MRI, fMRI, MEG and EEG from 16 healthy young volunteers. Participants viewed famous, unfamiliar and scrambled faces, presented initially or repeated immediately or after a delay, in a 3x3 design. They made a symmetry judgement on each stimulus. The dataset is a BIDS-formatted subset of the original Wakeman & Henson collection and supports multimodal integration and repetition-effect research.

Fields of Study & Subjects

Face Recognition and Perception Face recognition and analysis Neural and Behavioral Psychology Studies

Publication details

Journal / source
UC San Diego
Publication date
9 November 2026
Language
EN
Document type
Dataset