Evidence map›Paper›PMID 34941992›Full record

ArticleSocial cognitive and affective neuroscience2022

Localized task-invariant emotional valence encoding revealed by intracranial recordings.

Daniel S Weisholtz, Gabriel Kreiman, David A Silbersweig, Emily Stern, Brannon Cha, Tracy Butler

Open access · goldAbstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 43% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Review
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

6 authors at 3 institutions in 1 country.

Daniel S WeisholtzDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0001-6277-4894
Gabriel KreimanBoston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
David A SilbersweigDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Emily SternDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Brannon ChaUniversity of California San Diego School of Medicine.
Tracy ButlerDepartment of Radiology, Weill Cornell Medical Center, New York 10065, USA.
Brigham and Women's Hospital · USBoston Children's Hospital · USCornell University · US

Funding

Neural dynamics underlying spatiotemporal cognitive integrationR01EY026025 · NEI · BOSTON CHILDREN'S HOSPITAL · PI KREIMAN, GABRIEL · 2016 to 2024
$3.7M
Imaging inflammation in focal epilepsyK23NS057579 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI BUTLER, TRACY A. · 2008 to 2012
$887k
Neural Circuitry of Threat Perception: Implications for Anxiety and ParanoiaR21MH107820 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI KREIMAN, GABRIEL · 2016 to 2017
$487k
NEI NIH HHS EY026025NEI NIH HHS R01 EY026025NIMH NIH HHS MH107820NIMH NIH HHS R21 MH107820NINDS NIH HHS K23 NS057579
6 · The paper itself

Abstract

The ability to distinguish between negative, positive and neutral valence is a key part of emotion perception. Emotional valence has conceptual meaning that supersedes any particular type of stimulus, although it is typically captured experimentally in association with particular tasks. We sought to identify neural encoding for task-invariant emotional valence. We evaluated whether high-gamma responses (HGRs) to visually displayed words conveying emotions could be used to decode emotional valence from HGRs to facial expressions. Intracranial electroencephalography was recorded from 14 individuals while they participated in two tasks, one involving reading words with positive, negative, and neutral valence, and the other involving viewing faces with positive, negative, and neutral facial expressions. Quadratic discriminant analysis was used to identify information in the HGR that differentiates the three emotion conditions. A classifier was trained on the emotional valence labels from one task and was cross-validated on data from the same task (within-task classifier) as well as the other task (between-task classifier). Emotional valence could be decoded in the left medial orbitofrontal cortex and middle temporal gyrus, both using within-task classifiers and between-task classifiers. These observations suggest the presence of task-independent emotional valence information in the signals from these regions.

Indexed as

EmotionsFacial ExpressionHumansPhotic StimulationReadingTemporal Lobeclassifierdecodingemotionintracranial EEGvalence

Identifiers

PMID34941992
PMCPMC9164208
OpenAlexW4200161117

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.