Evidence map›Paper›PMID 34000394›Full record

ArticleNeuroImage2021

Quantitative measurement of macromolecular tissue properties in white and gray matter in healthy aging and amnestic MCI.

Elveda Gozdas, Hannah Fingerhut, Hua Wu, Jennifer L Bruno, Lauren Dacorro, Booil Jo, Ruth O'Hara, Allan L Reiss, S M Hadi Hosseini

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
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  4. Review
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  6. NeuroImage. Clinical · 2022
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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.

Elveda GozdasDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States. Electronic address: elvedags@stanford.edu.
Hannah FingerhutDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Hua WuCenter for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA, United States.
Jennifer L BrunoDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Lauren DacorroDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Booil JoDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Ruth O'HaraDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Allan L ReissDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
S M Hadi HosseiniDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Stanford University · US

Funding

A Novel Neuromonitoring Guided Cognitive Intervention for Targeted Enhancement of Working MemoryR61MH119289 · NIMH · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2019 to 2021
$787k
The influence of multi-domain cognitive training on large-scale structural and functional brain networks in MCIK25AG050759 · NIA · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2016 to 2020
$739k
A Wearable Optical Imaging System for Daily Monitoring of Prefrontal Activity in ADHDR21MH123873 · NIMH · STANFORD UNIVERSITY · PI BOWDEN, AUDREY KYNSELLA, HOSSEINI, HADI · 2020 to 2020
$443k
Multi-dimensional network framework for AD detection and progressionR21AG064263 · NIA · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2019 to 2020
$430k
NIA NIH HHS K25 AG050759NIA NIH HHS R21 AG064263NIMH NIH HHS R21 MH123873NIMH NIH HHS R61 MH119289
6 · The paper itself

Abstract

Healthy and pathological aging influence brain microstructure via complex processes. Discerning these processes requires measurements that are sensitive to specific biological properties of brain tissue. We integrated a novel quantitative R1 measure with multi-shell diffusion weighted imaging to map age-associated changes in macromolecular tissue volume (MTV) along major white matter tracts in healthy older adults and patients with amnestic Mild Cognitive Impairment (aMCI). Reduced MTV in association tracts was associated with older age in healthy aging, was correlated with memory performance, and distinguished aMCI from controls. We also mapped changes in gray matter tissue properties using quantitative R1 measurements. We documented a widespread decrease in R1 with advancing age across the cortex and decreased R1 in aMCI compared with controls in regions implicated in episodic memory. Our data are the first to characterize MTV loss along major white matter tracts in aMCI and suggest that qMRI is a sensitive measure for detecting subtle degeneration of white and gray matter tissue that cannot be detected by conventional MRI and diffusion measures.

Indexed as

AgingAgedAged, 80 and overCerebral CortexCognitive DysfunctionDiffusion Magnetic Resonance ImagingFemaleGray MatterHumansMagnetic Resonance ImagingMaleMemory, EpisodicWhite MatterDiffusionHealthy agingMacromolecularMild Cognitive ImpairmentQuantitative MRIR1

Identifiers

PMID34000394
PMCPMC8285270
OpenAlexW3161564240

What OpenQuestion holds

Textmetadata
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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.