Evidence map›Paper›PMID 36787369›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Encoding of dynamic facial information in the middle dorsal face area.

Zetian Yang, Winrich A Freiwald

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. The state of modelling face processing in humans with deep learning.British journal of psychology (London, England : 1953) · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Encoding of dynamic facial information in the middle dorsal face area.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Zetian YangLaboratory of Neural Systems, The Rockefeller University, New York, NY 10065.ORCID 0000-0002-3235-1118
Winrich A FreiwaldLaboratory of Neural Systems, The Rockefeller University, New York, NY 10065.ORCID 0000-0001-8456-5030

Funding

Neural Mechanisms of Face RecognitionR01EY021594 · NEI · ROCKEFELLER UNIVERSITY · PI FREIWALD, WINRICH · 2014 to 2019
$2.6M
NEI NIH HHS R01 EY021594
6 · The paper itself

Abstract

Faces in motion reveal a plethora of information through visual dynamics. Faces can move in complex patterns while transforming facial shape, e.g., during the generation of different emotional expressions. While motion and shape processing have been studied extensively in separate research enterprises, much less is known about their conjunction during biological motion. Here, we took advantage of the discovery in brain-imaging studies of an area in the dorsal portion of the macaque monkey superior temporal sulcus (STS), the middle dorsal face area (MD), with selectivity for naturalistic face motion. To gain mechanistic insights into the coding of facial motion, we recorded single-unit activity from MD, testing whether and how MD cells encode face motion. The MD population was highly sensitive to naturalistic facial motion and facial shape. Some MD cells responded only to the conjunction of facial shape and motion, others were selective for facial shape even without movement, and yet others were suppressed by facial motion. We found that this heterogeneous MD population transforms face motion into a higher dimensional activity space, a representation that would allow for high sensitivity to relevant small-scale movements. Indeed, we show that many MD cells carry such sensitivity for eye movements. We further found that MD cells encode motion of head, mouth, and eyes in a separable manner, requiring the use of multiple reference frames. Thus, MD is a bona fide face-motion area that uses highly heterogeneous cell populations to create codes capturing even complex facial motion trajectories.

Indexed as

Brain MappingMagnetic Resonance ImagingAnimalsFacial ExpressionMacacaPhotic StimulationTemporal Lobeface-processing systemsfacial motionfMRI-targeted electrophysiologygazesuperior temporal sulcus

Identifiers

PMID36787369
PMCPMC9974491

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.