Evidence map›Paper›PMID 35094063›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2022

Developmental maturation of causal signaling hubs in voluntary control of saccades and their functional controllability.

Yuan Zhang, Srikanth Ryali, Weidong Cai, Kaustubh Supekar, Ramkrishna Pasumarthy, Aarthi Padmanabhan, Bea Luna, Vinod Menon

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 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
0.1field-weighted citation impact, top 61% 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, 1 citations in OpenAlex.

  1. 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

8 authors at 4 institutions in 3 countries.

Yuan ZhangDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0001-9157-5544
Srikanth RyaliDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.
Weidong CaiDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.
Kaustubh SupekarDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.
Ramkrishna PasumarthyDepartment of Electrical Engineering, Robert Bosch Center of Data Sciences and Artificial Intelligence, Network Systems Learning, Control and Evolution Group, Indian Institute of Technology Madras, Chennai 600036, India.
Aarthi PadmanabhanDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.
Bea LunaDepartment of Psychiatry and Behavioral Sciences, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Vinod MenonDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.
Stanford Medicine · USChennai Mathematical Institute · INNeurosciences Institute · USUniversity of Pittsburgh · US

Funding

Integrative computational models of latent behavioral and neural constructs in children: a longitudinal developmental big-data approachR01MH121069 · NIMH · STANFORD UNIVERSITY · PI MENON, VINOD · 2019 to 2023
$3.9M
NIMH NIH HHS R01 MH121069
6 · The paper itself

Abstract

The ability to adaptively respond to behaviorally relevant cues in the environment, including voluntary control of automatic but inappropriate responses and deployment of a goal-relevant alternative response, undergoes significant maturation from childhood to adulthood. Importantly, the maturation of voluntary control processes influences the developmental trajectories of several key cognitive domains, including executive function and emotion regulation. Understanding the maturation of voluntary control is therefore of fundamental importance, but little is known about the underlying causal functional circuit mechanisms. Here, we use state-space and control-theoretic modeling to investigate the maturation of causal signaling mechanisms underlying voluntary control over saccades. We demonstrate that directed causal interactions in a canonical saccade network undergo significant maturation between childhood and adulthood. Crucially, we show that the frontal eye field (FEF) is an immature causal signaling hub in children during control over saccades. Using control-theoretic analysis, we then demonstrate that the saccade network is less controllable in children and that greater energy is required to drive FEF dynamics in children compared to adults. Our findings provide novel evidence that strengthening of causal signaling hubs and controllability of FEF are key mechanisms underlying age-related improvements in the ability to plan and execute voluntary control over saccades.

Indexed as

Frontal LobeSaccadesAdolescentAdultChildCuesExecutive FunctionHumansYoung Adultcausal circuitscontrollabilityfrontal eye fieldsinhibitory controlsaccades

Identifiers

PMID35094063
PMCPMC9627122
OpenAlexW4210393055

What OpenQuestion holds

Textmetadata
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.