Evidence map›Paper›PMID 37915531›Full record

ReviewFrontiers in behavioral neuroscience2023

Alterations of neural activity in the prefrontal cortex associated with deficits in working memory performance.

Sihai Li, Matthew C Rosen, Suha Chang, Samuel David, David J Freedman

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in behavioral neuroscience, 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
0.9field-weighted citation impact, top 27% 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, 5 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Sihai LiDepartment of Neurobiology, The University of Chicago, Chicago, IL, United States.
Matthew C RosenDepartment of Neurobiology, The University of Chicago, Chicago, IL, United States.
Suha ChangDepartment of Neurobiology, The University of Chicago, Chicago, IL, United States.
Samuel DavidDepartment of Neurobiology, The University of Chicago, Chicago, IL, United States.
David J FreedmanDepartment of Neurobiology, The University of Chicago, Chicago, IL, United States.
University of Chicago · US

Funding

Cortical Mechanisms of Visual Category Recognition and LearningR01EY019041 · NEI · UNIVERSITY OF CHICAGO · PI David J Freedman · 2009 to 2026
$8.5M
NEI NIH HHS R01 EY019041
6 · The paper itself

Abstract

Working memory (WM), a core cognitive function, enables the temporary holding and manipulation of information in mind to support ongoing behavior. Neurophysiological recordings conducted in nonhuman primates have revealed neural correlates of this process in a network of higher-order cortical regions, particularly the prefrontal cortex (PFC). Here, we review the circuit mechanisms and functional importance of WM-related activity in these areas. Recent neurophysiological data indicates that the absence of these neural correlates at different stages of WM is accompanied by distinct behavioral deficits, which are characteristic of various disease states/normal aging and which we review here. Finally, we discuss emerging evidence of electrical stimulation ameliorating these WM deficits in both humans and non-human primates. These results are important for a basic understanding of the neural mechanisms supporting WM, as well as for translational efforts to developing therapies capable of enhancing healthy WM ability or restoring WM from dysfunction.

Indexed as

brain stimulationcognitive deficitsneurophysiologyprefrontal cortexworking memory

Identifiers

PMID37915531
PMCPMC10616307
OpenAlexW4387704401

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.