Evidence map›Paper›PMID 35411392›Full record

ArticleBrain : a journal of neurology2022

Hippocampal-subfield microstructures and their relation to plasma biomarkers in Alzheimer's disease.

Syed Salman Shahid, Qiuting Wen, Shannon L Risacher, Martin R Farlow, Frederick W Unverzagt, Liana G Apostolova, Tatiana M Foroud, Henrik Zetterberg, Kaj Blennow, Andrew J Saykin and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
8.2field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
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  4. Brain microstructure mediates the relationship between Alzheimer's proteinopathies and memory.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  14. Hippocampal grey matter changes across scales in Alzheimer's Disease.bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 3 countries.

Syed Salman ShahidCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.
Qiuting WenCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID 0000-0002-7885-4036
Shannon L RisacherCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID 0000-0002-3304-7943
Martin R FarlowIndiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA.
Frederick W UnverzagtIndiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA.
Liana G ApostolovaCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.
Tatiana M ForoudIndiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.ORCID 0000-0003-3930-4354
Kaj BlennowDepartment of Psychiatry and Neurochemistry, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
Andrew J SaykinCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.
Yu Chien WuCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.
Indiana University School of MedicineSahlgrenska University Hospital · SE

Funding

Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 1991 to 2020
$37.3M
Research Education ComponentP30AG072976 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI ANDREW J SAYKIN · 2021 to 2026
$24.1M
Memory Circuitry in MCI and Early Alzheimer’s Disease Prodrome: Molecular DriversR01AG019771 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 2001 to 2021
$6.9M
Multi-Domain Sensory Measures as Biomarkers of Alzheimer's Disease in Preclinical and Prodromal StagesR01AG061788 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI RISACHER, SHANNON L · 2019 to 2023
$3.0M
The effects of iron on oxidative stress and Alzheimer's biomarkers in amyloid-positive and negative elderly normalR01AG068398 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHIANG, GLORIA CHIA-YI · 2020 to 2024
$2.8M
Comprehensive White-matter Microstructure-informed Analytical Methods to Elucidate Neurobiological Mechanisms of Sports-related Concussion (SRC)R01NS112303 · NINDS · INDIANA UNIVERSITY INDIANAPOLIS · PI HAREZLAK, JAROSLAW, WU, YU-CHIEN · 2020 to 2024
$2.3M
Modeling Axonal Density and Inflammation-Associated Cellularity in Alzheimer’s Disease Using Hybrid Diffusion ImagingR01AG053993 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI WU, YU-CHIEN · 2016 to 2020
$2.0M
New Statistical Methods for Multicenter Multimodal Longitudinal Neuroimaging AnalysisR01AG061303 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI LI, LEXIN · 2019 to 2022
$1.5M
Sensory and Perceptual Measures as Biomarkers of Alzheimer's Disease PathologyK01AG049050 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI RISACHER, SHANNON L · 2015 to 2019
$612k
European Research Council 681712NIA NIH HHS K01 AG049050NIA NIH HHS P30 AG010133NIA NIH HHS P30 AG072976NIA NIH HHS R01 AG019771NIA NIH HHS R01 AG053993NIA NIH HHS R01 AG061788NIA NIH HHS R01 AG068398NINDS NIH HHS R01 NS112303
6 · The paper itself

Abstract

Hippocampal subfields exhibit differential vulnerabilities to Alzheimer's disease-associated pathology including abnormal accumulation of amyloid-β deposition and neurofibrillary tangles. These pathological processes extensively impact on the structural and functional interconnectivities of the subfields and may explain the association between hippocampal dysfunction and cognitive deficits. In this study, we investigated the degree of alterations in the microstructure of hippocampal subfields across the clinical continuum of Alzheimer's disease. We applied a grey matter-specific multi-compartment diffusion model (Cortical-Neurite orientation dispersion and density imaging) to understand the differential effects of Alzheimer's disease pathology on the hippocampal subfield microstructure. A total of 119 participants were included in this cross-sectional study. Participants were stratified into three categories, cognitively normal (n = 47), mild cognitive impairment (n = 52), and Alzheimer's disease (n = 19). Diffusion MRI, plasma biomarkers and neuropsychological test scores were used to determine the association between the microstructural integrity and Alzheimer's disease-associated molecular indicators and cognition. For Alzheimer's disease-related plasma biomarkers, we studied amyloid-β, total tau and neurofilament light; for Alzheimer's disease-related neuropsychological tests, we included the Trail Making Test, Rey Auditory Verbal Learning Test, Digit Span and Montreal Cognitive Assessment. Comparisons between cognitively normal subjects and those with mild cognitive impairment showed significant microstructural alterations in the hippocampal cornu ammonis (CA) 4 and dentate gyrus region, whereas CA 1-3 was the most sensitive region for the later stages in the Alzheimer's disease clinical continuum. Among imaging metrics for microstructures, the volume fraction of isotropic diffusion for interstitial free water demonstrated the largest effect size in between-group comparisons. Regarding the plasma biomarkers, neurofilament light appeared to be the most sensitive biomarker for associations with microstructural imaging findings in CA4-dentate gyrus. CA 1-3 was the subfield which had stronger correlations between cognitive performance and microstructural metrics. Particularly, poor performance on the Rey Auditory Verbal Learning Test and Montreal Cognitive Assessment was associated with decreased intracellular volume fraction. Overall, our findings support the value of tissue-specific microstructural imaging for providing pathologically relevant information manifesting in the plasma biomarkers and neuropsychological outcomes across various stages of Alzheimer's disease.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmyloid beta-PeptidesBiomarkersCross-Sectional StudiesHippocampusHumansMagnetic Resonance ImagingAmyloid beta-PeptidesBiomarkersAlzheimer’s diseasediffusion magnetic resonance imaginghippocampal subfieldsmicrostructureplasma biomarkers

Identifiers

PMID35411392
PMCPMC9630875
OpenAlexW4223652742

What OpenQuestion holds

Textmetadata
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.