Literature DB >> 28570739

Exploring the spatio-temporal neural basis of face learning.

Ying Yang1, Yang Xu2, Carol A Jew3, John A Pyles4, Robert E Kass5, Michael J Tarr6.   

Abstract

Humans are experts at face individuation. Although previous work has identified a network of face-sensitive regions and some of the temporal signatures of face processing, as yet, we do not have a clear understanding of how such face-sensitive regions support learning at different time points. To study the joint spatio-temporal neural basis of face learning, we trained subjects to categorize two groups of novel faces and recorded their neural responses using magnetoencephalography (MEG) throughout learning. A regression analysis of neural responses in face-sensitive regions against behavioral learning curves revealed significant correlations with learning in the majority of the face-sensitive regions in the face network, mostly between 150-250 ms, but also after 300 ms. However, the effect was smaller in nonventral regions (within the superior temporal areas and prefrontal cortex) than that in the ventral regions (within the inferior occipital gyri (IOG), midfusiform gyri (mFUS) and anterior temporal lobes). A multivariate discriminant analysis also revealed that IOG and mFUS, which showed strong correlation effects with learning, exhibited significant discriminability between the two face categories at different time points both between 150-250 ms and after 300 ms. In contrast, the nonventral face-sensitive regions, where correlation effects with learning were smaller, did exhibit some significant discriminability, but mainly after 300 ms. In sum, our findings indicate that early and recurring temporal components arising from ventral face-sensitive regions are critically involved in learning new faces.

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Mesh:

Year:  2017        PMID: 28570739      PMCID: PMC5461867          DOI: 10.1167/17.6.1

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  48 in total

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2.  The timing of individual face recognition in the brain.

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3.  Reduced structural connectivity in ventral visual cortex in congenital prosopagnosia.

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4.  Neural correlates of face gender discrimination learning.

Authors:  Junzhu Su; Qingleng Tan; Fang Fang
Journal:  Exp Brain Res       Date:  2013-01-10       Impact factor: 1.972

5.  Diffusion MRI properties of the human uncinate fasciculus correlate with the ability to learn visual associations.

Authors:  Cibu Thomas; Alexandru Avram; Carlo Pierpaoli; Chris Baker
Journal:  Cortex       Date:  2015-02-11       Impact factor: 4.027

6.  The neural speed of familiar face recognition.

Authors:  G Barragan-Jason; M Cauchoix; E J Barbeau
Journal:  Neuropsychologia       Date:  2015-06-19       Impact factor: 3.139

Review 7.  The role of the occipital face area in the cortical face perception network.

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Journal:  Exp Brain Res       Date:  2011-02-12       Impact factor: 1.972

8.  MEG/EEG sources of the 170-ms response to faces are co-localized in the fusiform gyrus.

Authors:  Iris Deffke; Tilmann Sander; Jens Heidenreich; Werner Sommer; Gabriel Curio; Lutz Trahms; Andreas Lueschow
Journal:  Neuroimage       Date:  2007-02-13       Impact factor: 6.556

9.  Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements.

Authors:  S Taulu; J Simola
Journal:  Phys Med Biol       Date:  2006-03-16       Impact factor: 3.609

10.  MNE software for processing MEG and EEG data.

Authors:  Alexandre Gramfort; Martin Luessi; Eric Larson; Denis A Engemann; Daniel Strohmeier; Christian Brodbeck; Lauri Parkkonen; Matti S Hämäläinen
Journal:  Neuroimage       Date:  2013-10-24       Impact factor: 6.556

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  1 in total

1.  Fast temporal dynamics and causal relevance of face processing in the human temporal cortex.

Authors:  Jessica Schrouff; Omri Raccah; Sori Baek; Vinitha Rangarajan; Sina Salehi; Janaina Mourão-Miranda; Zeinab Helili; Amy L Daitch; Josef Parvizi
Journal:  Nat Commun       Date:  2020-01-31       Impact factor: 14.919

  1 in total

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