Evidence map›Paper›PMID 35272021›Full record

ArticleNeuroImage2022

Higher-order multi-shell diffusion measures complement tensor metrics and volume in gray matter when predicting age and cognition.

Hamsanandini Radhakrishnan, Ilana J Bennett, Craig El Stark

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  14. Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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  16. Age-Related Brain Atrophy and the Positive Effects of Behavioral Enrichment in Middle-Aged Beagles.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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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

3 authors at 2 institutions in 1 country.

Hamsanandini RadhakrishnanMathematical, Computational and Systems Biology, University of California, Postal Address: 1400 Biological Sciences III, Irvine, CA 92697, United States.
Ilana J BennettDepartment of Psychology, University of California Riverside, Riverside, California, United States.
Craig El StarkMathematical, Computational and Systems Biology, University of California, Postal Address: 1400 Biological Sciences III, Irvine, CA 92697, United States; Department of Neurobiology and Behavior, University of California, Irvine, California 92697, United States. Electronic address: cestark@uci.edu.
University of California, Irvine · USUniversity of California, Riverside · US

Funding

UC Irvine Alzheimer's Disease Research Center Induced Pluripotent Stem Cell CoreP50AG016573 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI YASSA, MICHAEL A · 2000 to 2019
$37.0M
The Alzheimer's Disease Research Center at the University of California, IrvineP30AG066519 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Mathew Mark Blurton-Jones · 2020 to 2026
$27.9M
High-resolution Structural and Functional Brain Imaging of the Medial Temporal LoR01AG034613 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI STARK, CRAIG E · 2009 to 2018
$4.6M
High-resolution multimodal imaging of episodic memory networks in aging.R00AG047334 · NIA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI BENNETT, ILANA JACQUELINE · 2016 to 2018
$737k
Multi-compartment diffusion imaging of hippocampal white and gray matter in agingR21AG054804 · NIA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI BENNETT, ILANA JACQUELINE · 2017 to 2018
$427k
NIA NIH HHS P30 AG066519NIA NIH HHS P50 AG016573NIA NIH HHS R00 AG047334NIA NIH HHS R01 AG034613NIA NIH HHS R21 AG054804
6 · The paper itself

Abstract

Recent advances in diffusion-weighted imaging have enabled us to probe the microstructure of even gray matter non-invasively. However, these advanced multi-shell protocols are often not included in large-scale studies as they significantly increase scan time. In this study, we investigated whether one set of multi-shell diffusion metrics commonly used in gray matter (as derived from Neurite Orientation Dispersion and Density Imaging, NODDI) provide enough additional information over typical tensor and volume metrics to justify the increased acquisition time, using the cognitive aging framework in the human hippocampus as a testbed. We first demonstrated that NODDI metrics are robust and reliable by replicating previous findings from our lab in a larger population of 79 younger (20.41 ± 1.89 years, 46 females) and 75 older (73.56 ± 6.26 years, 45 females) adults, showing that these metrics in the hippocampal subfields are sensitive to age and memory performance. We then asked how these subfield specific hippocampal NODDI metrics compared with standard tensor metrics and volume in predicting age and memory ability. We discovered that both NODDI and tensor measures separately predicted age and cognition in comparable capacities. However, integrating these modalities together considerably increased the predictive power of our logistic models, indicating that NODDI and tensor measures may be capturing independent microstructural information. We use these findings to encourage neuroimaging data collection consortiums to include a multi-shell diffusion sequence in their protocols since existing NODDI measures (and potential future multi-shell measures) may be able to capture microstructural variance that is missed by traditional approaches, even in studies exclusively examining gray matter.

Indexed as

Gray MatterWhite MatterAdultBrainCognitionDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleHumansMaleNeuritesAgingCognitionDiffusion imagingHippocampusMRINODDI

Identifiers

PMID35272021
PMCPMC10538083
OpenAlexW4220867238

What Socratic 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 Socratic graph.