Evidence map›Paper›PMID 28345189›Full record

ArticleHuman brain mapping2017

Tuning face perception with electrical stimulation of the fusiform gyrus.

Corey J Keller, Ido Davidesco, Pierre Megevand, Fred A Lado, Rafael Malach, Ashesh D Mehta

Abstract read
In one paragraph

Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Improved Speech Hearing in Noise with Invasive Electrical Brain Stimulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Intracortical Dynamics Underlying Repetitive Stimulation Predicts Changes in Network Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  18. Induction and Quantification of Excitability Changes in Human Cortical Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    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

6 authors at 4 institutions in 2 countries.

Corey J KellerDepartment of Neurosurgery, Hofstra Northwell School of Medicine, and Feinstein Institute for Medical Research, Manhasset, New York.ORCID 0000-0003-0529-3490
Ido DavidescoDepartment of Psychology, New York University.
Pierre MegevandDepartment of Neurosurgery, Hofstra Northwell School of Medicine, and Feinstein Institute for Medical Research, Manhasset, New York.
Fred A LadoDepartments of Neuroscience and Neurology, Albert Einstein College of Medicine, Bronx, New York.
Rafael MalachWeizmann Institute for Science, Rehovot, Israel.
Ashesh D MehtaDepartment of Neurosurgery, Hofstra Northwell School of Medicine, and Feinstein Institute for Medical Research, Manhasset, New York.
Albert Einstein College of Medicine · USFeinstein Institute for Medical Research · USNew York University · USWeizmann Institute of Science · IL

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007288 · NIGMS · YESHIVA UNIVERSITY · PI AKABAS, MYLES H. · 1985 to 2022
$35.6M
Localizing functional and pathological networks in epilepsyF31NS080357 · NINDS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI KELLER, COREY J · 2012 to 2013
$58k
NIGMS NIH HHS T32 GM007288NINDS NIH HHS F31 NS080357
6 · The paper itself

Abstract

The fusiform gyrus (FG) is an important node in the face processing network, but knowledge of its causal role in face perception is currently limited. Recent work demonstrated that high frequency stimulation applied to the FG distorts the perception of faces in human subjects (Parvizi et al. []: J Neurosci 32:14915-14920). However, the timing of this process in the FG relative to stimulus onset and the spatial extent of FG's role in face perception are unknown. Here, we investigate the causal role of the FG in face perception by applying precise, event-related electrical stimulation (ES) to higher order visual areas including the FG in six human subjects undergoing intracranial monitoring for epilepsy. We compared the effects of single brief (100 μs) electrical pulses to the FG and non-face-selective visual areas on the speed and accuracy of detecting distorted faces. Brief ES applied to face-selective sites did not affect accuracy but significantly increased the reaction time (RT) of detecting face distortions. Importantly, RT was altered only when ES was applied 100ms after visual onset and in face-selective but not place-selective sites. Furthermore, ES applied to face-selective areas decreased the amplitude of visual evoked potentials and high gamma power over this time window. Together, these results suggest that ES of face-selective regions within a critical time window induces a delay in face perception. These findings support a temporally and spatially specific causal role of face-selective areas and signify an important link between electrophysiology and behavior in face perception. Hum Brain Mapp 38:2830-2842, 2017. © 2017 Wiley Periodicals, Inc.

Indexed as

AdultBrain MappingComputer SimulationDeep Brain StimulationDrug Resistant EpilepsyElectrodes, ImplantedEvoked Potentials, VisualFacial RecognitionFemaleHumansMaleMiddle AgedPhotic StimulationReaction TimeTemporal LobeYoung Adultcortico-cortical evoked potentialselectrical stimulationelectrocorticographyfusiform gyrushigh gamma power

Identifiers

PMID28345189
PMCPMC5426961
OpenAlexW2603394728

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.