Evidence map›Paper›PMID 41965893›Full record

ArticleNature communications2026

Interactions across hemispheres in prefrontal cortex reflect global cognitive processing.

Megan E McDonnell, Akash Umakantha, Ryan C Williamson, Matthew A Smith, Byron M Yu

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Megan E McDonnell *Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0002-6427-820X
Akash Umakantha *Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
Ryan C Williamson *Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
Matthew A SmithNeuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA. mattsmith@cmu.edu.ORCID http://orcid.org/0000-0003-1192-9942
Byron M YuNeuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA. byronyu@cmu.edu.ORCID http://orcid.org/0000-0003-2252-6938

Funding

Slow time scale fluctuations in neurons and behaviorR01MH128393 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI MATTHEW A SMITH · 2022 to 2026
$2.2M
Understanding feedforward and feedback signaling between neuronal populationsRF1NS127107 · NINDS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI KOHN, ADAM, MACHENS, CHRISTIAN · 2022 to 2022
$2.0M
CRCNS: Modulating Neural Population Interactions between Cortical AreasR01MH118929 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI SMITH, MATTHEW A, YU, BYRON M. · 2018 to 2022
$1.7M
Dynamic population codes for perceptionR01EY029250 · NEI · CARNEGIE-MELLON UNIVERSITY · PI SMITH, MATTHEW A · 2020 to 2023
$1.3M
CRCNS: Dissecting Directed Interactions Amongst Multiple Neuronal PopulationsR01EY035896 · NEI · CARNEGIE-MELLON UNIVERSITY · PI ADAM KOHN, Byron M. Yu · 2023 to 2026
$1.3M
Integrative Training in Neural InterfacingT32EB029365 · NIBIB · CARNEGIE-MELLON UNIVERSITY · PI HE, BIN · 2021 to 2025
$1.0M
Neuronal population dynamics within and across cortical areasR01EB026953 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOIRON, BRENT D., SMITH, MATTHEW A · 2018 to 2020
$1.0M
National Science Foundation (NSF) NCS BCS 1734916/1954107National Science Foundation (NSF) NCS DRL 2124066/2123911NEI NIH HHS R01 EY029250NEI NIH HHS R01 EY035896NIBIB NIH HHS R01 EB026953NIBIB NIH HHS T32 EB029365NIMH NIH HHS R01 MH118929NIMH NIH HHS R01 MH128393NINDS NIH HHS RF1 NS127107Simons Foundation 543065Simons Foundation NC-GB-CULM-00003241-05
6 · The paper itself

Abstract

Brain functions involve processing in local networks as well as modulation from brainwide signals, such as arousal. Dissecting the contributions of populations of neurons to these functions requires knowledge of interactions between brain areas. We investigated these interactions using dual hemisphere recordings of prefrontal cortex in monkeys performing a spatial memory task. To tease apart global processing from local interactions, we applied a novel statistical approach called pCCA-FA (a combination of probabilistic canonical correlation analysis and factor analysis) to analyze trial-to-trial variability in neuronal activity. We found substantial shared variability among neurons within each population, much of which was actually shared across populations and linked to an arousal process. Our work presents a path by which we can leverage multi-area recordings to reveal aspects of brain functions that are hidden in single-area recordings.

Indexed as

CognitionPrefrontal CortexAnimalsMacaca mulattaMaleNeuronsSpatial Memory

Identifiers

PMID41965893
PMCPMC13247044

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.