Evidence map›Paper›PMID 32040518›Full record

ArticlePloS one2020

Towards an ontology of cognitive processes and their neural substrates: A structural equation modeling approach.

Teal Eich, David Parker, Yunglin Gazes, Qolamreza Razlighi, Christian Habeck, Yaakov Stern

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Cognitive reserve protects ALS-typical cognitive domains: A longitudinal study.Annals of clinical and translational neurology · 2022
    Article
  3. Article
  4. Article
  5. 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

6 authors at 2 institutions in 1 country.

Teal EichLeonard Davis School of Gerontology, University of Southern California, Los Agneles, California, United States of America.ORCID 0000-0003-4094-3276
David ParkerCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, New York, United States of America.
Yunglin GazesCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, New York, United States of America.
Qolamreza RazlighiCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, New York, United States of America.
Christian HabeckCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, New York, United States of America.
Yaakov SternCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, New York, United States of America.
Columbia University · USUniversity of Southern California · US

Funding

Exploring Cognitive Aging Using Reference Ability Neural NetworksR01AG038465 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HABECK, CHRISTIAN GEORG, STERN, YAAKOV · 2011 to 2025
$17.0M
Exploring Cognitive Aging Using Refernce Ability Neural NetworksRF1AG038465 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HABECK, CHRISTIAN GEORG, STERN, YAAKOV · 2016 to 2018
$7.6M
Exploring the Latent Class Structure of Inhibition in Normal AgingR00AG055684 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EICH, TEAL S · 2019 to 2021
$741k
Analyzing age-related changes of brain activation in subjects native spaceK01AG044467 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI RAZLIGHI, QOLAMREZA RAY · 2013 to 2017
$636k
Longitudinal changes in white matter integrity predicting cognitive changes in reasoning and vocabulary abilitiesK01AG051777 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GAZES, YUNGLIN · 2016 to 2020
$623k
Exploring the Latent Class Structure of Inhibition in Normal AgingK99AG055684 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI EICH, TEAL S · 2017 to 2018
$260k
NIA NIH HHS K01 AG044467NIA NIH HHS K01 AG051777NIA NIH HHS K99 AG055684NIA NIH HHS R00 AG055684NIA NIH HHS R01 AG038465NIA NIH HHS RF1 AG038465
6 · The paper itself

Abstract

A key challenge in the field of cognitive neuroscience is to identify discriminable cognitive functions, and then map these functions to brain activity. In the current study, we set out to explore the relationships between performance arising from different cognitive tasks thought to tap different domains of cognition, and then to test whether these distinct latent cognitive abilities also are subserved by corresponding "latent" brain substrates. To this end, we tested a large sample of adults under the age of 40 on twelve cognitive tasks as they underwent fMRI scanning. Exploratory factor analysis revealed 4-factor model, dissociating tasks into processes corresponding to episodic memory retrieval, reasoning, speed of processing and vocabulary. An analysis of the topographic covariance patterns of the BOLD-response acquired during each task similarity also converged on four neural networks that corresponded to the 4 latent factors. These results suggest that distinct ontologies of cognition are subserved by corresponding distinct neural networks.

Indexed as

Biological OntologiesCognitionModels, NeurologicalAdultBehaviorBrainFemaleHumansLatent Class AnalysisMaleYoung Adult

Identifiers

PMID32040518
PMCPMC7010254
OpenAlexW3006314891

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.