Evidence map›Paper›PMID 37100843›Full record

ArticleScientific reports2023

Uncovering the fast, directional signal flow through the human temporal pole during semantic processing.

P Tiesinga, A Platonov, V Pelliccia, G LoRusso, I Sartori, G A Orban

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

P TiesingaNeuroinformatics Department, Faculty of Science, Radboud University, Heyendaalseweg 135, 6525AJ, Nijmegen, The Netherlands. p.tiesinga@science.ru.nl.
A PlatonovDepartment of Medicine and Surgery, University of Parma, Via Volturno 39/E, 43125, Parma, Italy.
V PellicciaClaudio Munari Center for Epilepsy Surgery, Ospedale Niguarda-Ca' Granda, 20162, Milan, Italy.
G LoRussoClaudio Munari Center for Epilepsy Surgery, Ospedale Niguarda-Ca' Granda, 20162, Milan, Italy.
I SartoriClaudio Munari Center for Epilepsy Surgery, Ospedale Niguarda-Ca' Granda, 20162, Milan, Italy.
G A OrbanDepartment of Medicine and Surgery, University of Parma, Via Volturno 39/E, 43125, Parma, Italy. guy.orban@kuleuven.be.

Funding

Neural Mechanisms of Learning Relevance in Multidimensional EnvironmentsR01MH123687 · NIMH · VANDERBILT UNIVERSITY · PI WOMELSDORF, THILO · 2021 to 2025
$3.2M
NIMH NIH HHS R01 MH123687
6 · The paper itself

Abstract

The temporal pole (TP) plays a central role in semantic memory, yet its neural machinery is unknown. Intracerebral recordings in patients discriminating visually the gender or actions of an actor, yielded gender discrimination responses in the ventrolateral (VL) and tip (T) regions of right TP. Granger causality revealed task-specific signals travelling first forward from VL to T, under control of orbitofrontal cortex (OFC) and neighboring prefrontal cortex, and then, strongly, backwards from T to VL. Many other cortical regions provided inputs to or received outputs from both TP regions, often with longer delays, with ventral temporal afferents to VL signaling the actor's physical appearance. The TP response timing reflected more that of the connections to VL, controlled by OFC, than that of the input leads themselves. Thus, visual evidence for gender categories, collected by VL, activates category labels in T, and consequently, category features in VL, indicating a two-stage representation of semantic categories in TP.

Indexed as

SemanticsTemporal LobeBrain MappingHumansPrefrontal Cortex

Identifiers

PMID37100843
PMCPMC10133264

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.