Evidence map›Paper›PMID 37010135›Full record

ArticleJournal of neurophysiology2023

Dependence of cognitive ability on synchronous neural interactions determined by magnetoencephalography.

Lisa M James, Arthur C Leuthold, Stacy Dolan, Apostolos P Georgopoulos

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurophysiology, 2023. 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
0.4field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

4 authors at 2 institutions in 1 country.

Lisa M JamesThe Cognitive Neuroscience Research Group, Brain Sciences Center, Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota, United States.ORCID 0000-0001-9021-0690
Arthur C LeutholdThe Cognitive Neuroscience Research Group, Brain Sciences Center, Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota, United States.
Stacy DolanThe Cognitive Neuroscience Research Group, Brain Sciences Center, Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota, United States.
Apostolos P GeorgopoulosThe Cognitive Neuroscience Research Group, Brain Sciences Center, Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota, United States.ORCID 0000-0003-4412-725X
Minneapolis VA Health Care System · USUniversity of Minnesota · US

Funding

VA
6 · The paper itself

Abstract

Previous studies have shown that synchronous neural interactions (SNIs) underlying healthy brain function can be readily distinguished from neural anomalies associated with diseases including dementia; however, it is imperative to identify biomarkers that facilitate early identification of individuals at risk for cognitive decline before the onset of clinical symptoms. Here, we evaluated whether variation in brain function, controlling for age, corresponds with subtle decrements in cognitive performance in cognitively healthy women. A total of 251 women (age range 24-102 yr) who performed above established cutoffs on the Montreal cognitive assessment (MoCA) also underwent a task-free magnetoencephalography scan from which SNIs were computed. The results demonstrated that increased SNI was significantly associated with decreased cognitive performance (

Indexed as

Cognitive DysfunctionMagnetoencephalographyAdultAgedAged, 80 and overCerebral CortexCognitionFemaleHumansMiddle AgedTemporal LobeYoung Adultcognitiondecorrelationmagnetoencephalography

Identifiers

PMID37010135
PMCPMC10110728
OpenAlexW4361283285

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.