Evidence map›Paper›PMID 34933946›Full record

ArticleeNeuro

Task Modulation of Single-Neuron Activity in the Human Amygdala and Hippocampus.

Runnan Cao, Alexander Todorov, Nicholas J Brandmeir, Shuo Wang

Abstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Encoding of Visual Objects in the Human Medial Temporal Lobe.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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

4 authors.

Runnan CaoLane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506 runnan.cao@mail.wvu.edu shuowang@wustl.edu.ORCID 0000-0001-5827-9903
Alexander TodorovBooth School of Business, University of Chicago, Chicago, IL 60637.
Nicholas J BrandmeirDepartment of Neurosurgery, West Virginia University, Morgantown, WV 26506.
Shuo WangLane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506 runnan.cao@mail.wvu.edu shuowang@wustl.edu.ORCID 0000-0003-2562-0225

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human amygdala and hippocampus are critically involved in various processes in face perception. However, it remains unclear how task demands or evaluative contexts modulate processes underlying face perception. In this study, we employed two task instructions when participants viewed the same faces and recorded single-neuron activity from the human amygdala and hippocampus. We comprehensively analyzed task modulation for three key aspects of face processing and we found that neurons in the amygdala and hippocampus (1) encoded high-level social traits such as perceived facial trustworthiness and dominance and this response was modulated by task instructions; (2) encoded low-level facial features and demonstrated region-based feature coding, which was not modulated by task instructions; and (3) encoded fixations on salient face parts such as the eyes and mouth, which was not modulated by task instructions. Together, our results provide a comprehensive survey of task modulation of neural processes underlying face perception at the single-neuron level in the human amygdala and hippocampus.

Indexed as

AmygdalaFacial RecognitionFacial ExpressionHippocampusHumansMagnetic Resonance ImagingNeuronsamygdala and hippocampusdominancefacehuman single-neuron recordingstask modulationtrustworthiness

Identifiers

PMID34933946
PMCPMC8805196

What OpenQuestion holds

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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.