Evidence map›Paper›PMID 38581681›Full record

ArticleCell reports2024

Functional organization of posterior parietal cortex circuitry based on inferred information flow.

Jung Uk Kang, Eric Mooshagian, Lawrence H Snyder

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2024. 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
2.4field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. A causal role for the posterior corpus callosum in bimanual coordination.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  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

3 authors at 1 institution in 1 country.

Jung Uk KangDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA. Electronic address: kang@eye-hand.wustl.edu.
Eric MooshagianDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA.
Lawrence H SnyderDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA.
Washington University in St. Louis · US

Funding

VISUAL-MOTOR TRANSFORMATIONS IN PARIETAL CORTEXR01EY012135 · NEI · WASHINGTON UNIVERSITY · PI SNYDER, LAWRENCE H · 2000 to 2023
$8.4M
NEI NIH HHS R01 EY012135
6 · The paper itself

Abstract

Many studies infer the role of neurons by asking what information can be decoded from their activity or by observing the consequences of perturbing their activity. An alternative approach is to consider information flow between neurons. We applied this approach to the parietal reach region (PRR) and the lateral intraparietal area (LIP) in posterior parietal cortex. Two complementary methods imply that across a range of reaching tasks, information flows primarily from PRR to LIP. This indicates that during a coordinated reach task, LIP has minimal influence on PRR and rules out the idea that LIP forms a general purpose spatial processing hub for action and cognition. Instead, we conclude that PRR and LIP operate in parallel to plan arm and eye movements, respectively, with asymmetric interactions that likely support eye-hand coordination. Similar methods can be applied to other areas to infer their functional relationships based on inferred information flow.

Indexed as

Parietal LobeAnimalsEye MovementsMacaca mulattaMaleNerve NetNeuronsPsychomotor PerformanceCP: Neuroscienceeye-hand coordinationfunctional connectivitymotor planningparietal cortex

Identifiers

PMID38581681
PMCPMC11090617
OpenAlexW4393999965

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.