Skip to main content

Research Repository

Advanced Search

N1 responses to images of hands in occipito-temporal event-related potentials


Miguel Granja

Octavian Sorin Maxim

Associate Professor & Reader in Cognitive Neuroscience


Hands, much like faces, convey social information, instructions and intentions to an observer. While the neural processes of face perception have been widely studied, it was only recently that fMRI identified occipito-temporal areas sensitive to static images of hands as body parts. To complement these studies with fine-grained timing information, we measured event-related EEG potentials (ERPs) from 33 subjects who were presented with static images of hands versus faces, whole bodies, and inanimate objects as controls. Already at N1 latency, ~ 170 ms, hand-related ERP patterns were manifest in two results: (1) significant differences in amplitudes for images of hands versus bodies in occipito-temporal N1 responses; (2) left lateralization of responses to images of hands, and also of the difference waveforms (hands minus bodies), quantifying hand-related responses. In line with fMRI studies of hand-sensitive areas distinct from extrastriate body area (EBA), the current findings provide electrophysiological evidence for hand-sensitive brain activation, occurring at a similarly early latency as N1 responses to faces.


Espírito Santo, M. G., Maxim, O. S., & Schürmann, M. (2017). N1 responses to images of hands in occipito-temporal event-related potentials. Neuropsychologia, 106,

Journal Article Type Article
Acceptance Date Sep 12, 2017
Online Publication Date Sep 14, 2017
Publication Date Nov 1, 2017
Deposit Date Sep 25, 2017
Publicly Available Date Sep 15, 2018
Journal Neuropsychologia
Print ISSN 0028-3932
Electronic ISSN 1873-3514
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 106
Keywords EEG; Event-related potentials (ERPs); N1; Hands; Faces; Bodies; Hemispheric laterality; Extrastriate body area (EBA)
Public URL
Publisher URL


HandsN1_Aug2017_MGES_MS2_MGES_MS2_NSY-D-17-00282R1_preprint.pdf (619 Kb)

Copyright Statement
Copyright information regarding this work can be found at the following address:

You might also like

Downloadable Citations