Evidence map›Paper›PMID 32276060›Full record

ArticleNeuroImage2020

fMRI-guided white matter connectivity in fluid and crystallized cognitive abilities in healthy adults.

Yunglin Gazes, Seonjoo Lee, Jayant Sakhardande, Ashley Mensing, Qolamreza Razlighi, Ann Ohkawa, Maria Pleshkevich, Linggang Luo, Christian Habeck

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2020. 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
0.4field-weighted citation impact, top 34% 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, 6 citations in OpenAlex.

  1. 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

9 authors at 1 institution in 1 country.

Yunglin GazesCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, 630 W. 168th Street, P & S Box 16, New York, NY, 10032, USA. Electronic address: yl2107@cumc.columbia.edu.
Seonjoo LeeCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, 630 W. 168th Street, P & S Box 16, New York, NY, 10032, USA.
Jayant SakhardandeCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, 630 W. 168th Street, P & S Box 16, New York, NY, 10032, USA.
Ashley MensingCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, 630 W. 168th Street, P & S Box 16, New York, NY, 10032, USA.
Qolamreza RazlighiCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, 630 W. 168th Street, P & S Box 16, New York, NY, 10032, USA.
Ann OhkawaCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, 630 W. 168th Street, P & S Box 16, New York, NY, 10032, USA.
Maria PleshkevichCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, 630 W. 168th Street, P & S Box 16, New York, NY, 10032, USA.
Linggang LuoCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, 630 W. 168th Street, P & S Box 16, New York, NY, 10032, USA.
Christian HabeckCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, 630 W. 168th Street, P & S Box 16, New York, NY, 10032, USA.
Columbia University Irving Medical Center · 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
Imaging of Cognition, Learning and Memory in AgingR01AG026158 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STERN, YAAKOV · 2004 to 2021
$10.9M
Exploring Cognitive Aging Using Refernce Ability Neural NetworksRF1AG038465 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HABECK, CHRISTIAN GEORG, STERN, YAAKOV · 2016 to 2018
$7.6M
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
Statistical Methods for Neural Mechanisms Mediating Cognitive System in Mental Health ResearchK01AG051348 · NIA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI LEE, SEONJOO · 2015 to 2018
$526k
NIA NIH HHS K01 AG051348NIA NIH HHS K01 AG051777NIA NIH HHS R01 AG026158NIA NIH HHS R01 AG038465NIA NIH HHS RF1 AG038465
6 · The paper itself

Abstract

This study examined within-subject differences among three fluid abilities that decline with age: reasoning, episodic memory and processing speed, compared with vocabulary, a crystallized ability that is maintained with age. The data were obtained from the Reference Ability Neural Network (RANN) study from which 221 participants had complete behavioral data for all 12 cognitive tasks, three per ability, along with fMRI and diffusion weighted imaging data. We used fMRI task activation to guide white matter tractography, and generated mean percent signal change in the regions associated with the processing of each ability along with diffusion tensor imaging measures, fractional anisotropy (FA) and mean diffusivity (MD), for each cognitive ability. Qualitatively brain regions associated with vocabulary were more localized and lateralized to the left hemisphere whereas the fluid abilities were associated with brain activations that were more distributed across the brain and bilaterally situated. Using continuous age, we observed smaller correlations between MD and age for white matter tracts connecting brain regions associated with the vocabulary ability than that for the fluid abilities, suggesting that vocabulary white matter tracts were better maintained with age. Furthermore, after multiple comparisons correction and accounting for age, education, and sex, the mean percent signal change for episodic memory showed positive associations with behavioral performance. Overall, the vocabulary ability may be better maintained with age due to the more localized brain regions involved, which places smaller reliance on long distance white matter tracts for signal transduction. These results support the hypothesis that functional activation and white matter structures underlying the vocabulary ability contribute to the ability's greater resistance against aging.

Indexed as

AdultAgedBrainCognitionCrystallizationDiffusion Tensor ImagingFemaleHealthy VolunteersHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetPhotic StimulationReaction TimeWhite MatterAgingCrystallized abilityFluid abilityfmriTractographyVocabularyWhite matter

Identifiers

PMID32276060
PMCPMC7292763
OpenAlexW3015853475

What OpenQuestion holds

Textmetadata
LicenceTDM
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.