Literature DB >> 23658192

Representations of facial identity information in the ventral visual stream investigated with multivoxel pattern analyses.

Elfi Goesaert1, Hans P Op de Beeck.   

Abstract

The neural basis of face recognition has been investigated extensively. Using fMRI, several regions have been identified in the human ventral visual stream that seem to be involved in processing and identifying faces, but the nature of the face representations in these regions is not well known. In particular, multivoxel pattern analyses have revealed distributed maps within these regions, but did not reveal the organizing principles of these maps. Here we isolated different types of perceptual and conceptual face properties to determine which properties are mapped in which regions. A set of faces was created with systematic manipulations of featural and configural visual characteristics. In a second part of the study, personal and spatial context information was added to all faces except one. The perceptual properties of faces were represented in face regions and in other regions of interest such as early visual and object-selective cortex. Only representations in early visual cortex were correlated with pixel-based similarities between the stimuli. The representation of nonperceptual properties was less distributed. In particular, the spatial location associated with a face was only represented in the parahippocampal place area. These findings demonstrate a relatively distributed representation of perceptual and conceptual face properties that involves both face-selective/sensitive and non-face-selective cortical regions.

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Year:  2013        PMID: 23658192      PMCID: PMC6619647          DOI: 10.1523/JNEUROSCI.1829-12.2013

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  28 in total

1.  Feature-based face representations and image reconstruction from behavioral and neural data.

Authors:  Adrian Nestor; David C Plaut; Marlene Behrmann
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-28       Impact factor: 11.205

2.  FFA and OFA Encode Distinct Types of Face Identity Information.

Authors:  Maria Tsantani; Nikolaus Kriegeskorte; Katherine Storrs; Adrian Lloyd Williams; Carolyn McGettigan; Lúcia Garrido
Journal:  J Neurosci       Date:  2021-01-15       Impact factor: 6.167

3.  Functional subdomains within human FFA.

Authors:  Tolga Çukur; Alexander G Huth; Shinji Nishimoto; Jack L Gallant
Journal:  J Neurosci       Date:  2013-10-16       Impact factor: 6.167

4.  Neural portraits of perception: reconstructing face images from evoked brain activity.

Authors:  Alan S Cowen; Marvin M Chun; Brice A Kuhl
Journal:  Neuroimage       Date:  2014-03-17       Impact factor: 6.556

5.  Decoding Face Exemplars from fMRI Responses: What Works, What Doesn't?

Authors:  Johan D Carlin
Journal:  J Neurosci       Date:  2015-06-24       Impact factor: 6.167

6.  Posterior Fusiform and Midfusiform Contribute to Distinct Stages of Facial Expression Processing.

Authors:  Yuanning Li; R Mark Richardson; Avniel Singh Ghuman
Journal:  Cereb Cortex       Date:  2019-07-05       Impact factor: 5.357

7.  Dynamic neural architecture for social knowledge retrieval.

Authors:  Yin Wang; Jessica A Collins; Jessica Koski; Tehila Nugiel; Athanasia Metoki; Ingrid R Olson
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-13       Impact factor: 11.205

8.  Spatiotemporal dynamics of similarity-based neural representations of facial identity.

Authors:  Mark D Vida; Adrian Nestor; David C Plaut; Marlene Behrmann
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-27       Impact factor: 11.205

Review 9.  Beyond the FFA: The role of the ventral anterior temporal lobes in face processing.

Authors:  Jessica A Collins; Ingrid R Olson
Journal:  Neuropsychologia       Date:  2014-06-14       Impact factor: 3.139

Review 10.  The Face of Image Reconstruction: Progress, Pitfalls, Prospects.

Authors:  Adrian Nestor; Andy C H Lee; David C Plaut; Marlene Behrmann
Journal:  Trends Cogn Sci       Date:  2020-07-13       Impact factor: 20.229

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