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


ABSTRACT: We measured the fast temporal dynamics of face processing simultaneously across the human temporal cortex (TC) using intracranial recordings in eight participants. We found sites with selective responses to faces clustered in the ventral TC, which responded increasingly strongly to marine animal, bird, mammal, and human faces. Both face-selective and face-active but non-selective sites showed a posterior to anterior gradient in response time and selectivity. A sparse model focusing on information from the human face-selective sites performed as well as, or better than, anatomically distributed models when discriminating faces from non-faces stimuli. Additionally, we identified the posterior fusiform site (pFUS) as causally the most relevant node for inducing distortion of conscious face processing by direct electrical stimulation. These findings support anatomically discrete but temporally distributed response profiles in the human brain and provide a new common ground for unifying the seemingly contradictory modular and distributed modes of face processing.

SUBMITTER: Schrouff J 

PROVIDER: S-EPMC6994602 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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

Schrouff Jessica J   Raccah Omri O   Baek Sori S   Rangarajan Vinitha V   Salehi Sina S   Mourão-Miranda Janaina J   Helili Zeinab Z   Daitch Amy L AL   Parvizi Josef J  

Nature communications 20200131 1


We measured the fast temporal dynamics of face processing simultaneously across the human temporal cortex (TC) using intracranial recordings in eight participants. We found sites with selective responses to faces clustered in the ventral TC, which responded increasingly strongly to marine animal, bird, mammal, and human faces. Both face-selective and face-active but non-selective sites showed a posterior to anterior gradient in response time and selectivity. A sparse model focusing on informatio  ...[more]

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