Evidence map›Paper›PMID 29305751›Full record

ArticleBrain imaging and behavior2018

Volumetric comparison of hippocampal subfields extracted from 4-minute accelerated vs. 8-minute high-resolution T2-weighted 3T MRI scans.

Shan Cong, Shannon L Risacher, John D West, Yu-Chien Wu, Liana G Apostolova, Eileen Tallman, Maher Rizkalla, Paul Salama, Andrew J Saykin, Li Shen

Abstract readComparative Study
In one paragraph

Article in Brain imaging and behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Review
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  14. Neuroimaging in aging and neurologic diseases.Handbook of clinical neurology · 2019
    Review
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

10 authors.

Shan CongCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16th Street Suite 4100, Indianapolis, IN, 46202, USA.
Shannon L RisacherCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16th Street Suite 4100, Indianapolis, IN, 46202, USA.
John D WestCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16th Street Suite 4100, Indianapolis, IN, 46202, USA.
Yu-Chien WuCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16th Street Suite 4100, Indianapolis, IN, 46202, USA.
Liana G ApostolovaCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16th Street Suite 4100, Indianapolis, IN, 46202, USA.
Eileen TallmanCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16th Street Suite 4100, Indianapolis, IN, 46202, USA.
Maher RizkallaDepartment of Electrical and Computer Engineering, Purdue University, 799 West Michigan Street, Indianapolis, IN, 46202-5160, USA.
Paul SalamaDepartment of Electrical and Computer Engineering, Purdue University, 799 West Michigan Street, Indianapolis, IN, 46202-5160, USA.
Andrew J SaykinCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16th Street Suite 4100, Indianapolis, IN, 46202, USA. asaykin@iupui.edu.
Li ShenCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16th Street Suite 4100, Indianapolis, IN, 46202, USA. shenli@iu.edu.ORCID http://orcid.org/0000-0002-5443-0503

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MICHAEL W WEINER · 2016 to 2026
$226.7M
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 1991 to 2020
$37.3M
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
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
Integrative Bioinformatics Approaches to Human Brain Genomics and ConnectomicsR01EB022574 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI SHEN, LI · 2016 to 2019
$1.9M
Mechanisms of Reelin Signaling in the Adult HippocampusR01AG022574 · NIA · VANDERBILT UNIVERSITY · PI WEEBER, EDWIN JOHN · 2004 to 2008
$1.4M
Bioinformatics Strategies for Multidimensional Brain Imaging GeneticsR01LM011360 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI MOORE, JASON H., SAYKIN, ANDREW J · 2012 to 2015
$1.4M
Imaging and genetic biomarkers for Alzheimer's diseaseR01AG040770 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI APOSTOLOVA, LIANA G · 2012 to 2016
$1.4M
Sensory and Perceptual Measures as Biomarkers of Alzheimer's Disease PathologyK01AG049050 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI RISACHER, SHANNON L · 2015 to 2019
$612k
National Institute of Biomedical Imaging and Bioengineering R01 EB022574National Institute on Aging K01 AG049050National Institute on Aging P30 AG10133National Institute on Aging R01 AG040770National Institute on Aging R01 AG19771National Institute on Aging U01 AG024904NIA NIH HHS K01 AG049050NIA NIH HHS P30 AG010133NIA NIH HHS R01 AG019771NIA NIH HHS R01 AG040770NIA NIH HHS R01 AG053993NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG024904NIBIB NIH HHS R01 EB022574NLM NIH HHS R01 LM011360U.S. National Library of Medicine (US) R01 LM011360
6 · The paper itself

Abstract

The hippocampus has been widely studied using neuroimaging, as it plays an important role in memory and learning. However, hippocampal subfield information is difficult to capture by standard magnetic resonance imaging (MRI) techniques. To facilitate morphometric study of hippocampal subfields, ADNI introduced a high resolution (0.4 mm in plane) T2-weighted turbo spin-echo sequence that requires 8 min. With acceleration, the protocol can be acquired in 4 min. We performed a comparative study of hippocampal subfield volumes using standard and accelerated protocols on a Siemens Prisma 3T MRI in an independent sample of older adults that included 10 cognitively normal controls, 9 individuals with subjective cognitive decline, 10 with mild cognitive impairment, and 6 with a clinical diagnosis of Alzheimer's disease (AD). The Automatic Segmentation of Hippocampal Subfields (ASHS) software was used to segment 9 primary labeled regions including hippocampal subfields and neighboring cortical regions. Intraclass correlation coefficients were computed for reliability tests between 4 and 8 min scans within and across the four groups. Pairwise group analyses were performed, covaried for age, sex and total intracranial volume, to determine whether the patterns of group differences were similar using 4 vs. 8 min scans. The 4 and 8 min protocols, analyzed by ASHS segmentation, yielded similar volumetric estimates for hippocampal subfields as well as comparable patterns of differences between study groups. The accelerated protocol can provide reliable imaging data for investigation of hippocampal subfields in AD-related MRI studies and the decreased scan time may result in less vulnerability to motion.

Indexed as

AgedAlzheimer DiseaseCognitive DysfunctionDiagnostic Self EvaluationFemaleHippocampusHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedOrgan SizeReproducibility of ResultsSoftwareTime FactorsAlzheimer’s diseaseHippocampal subfieldsMagnetic resonance imagingSegmentationVolumetric analysis

Identifiers

PMID29305751
PMCPMC6033688

What OpenQuestion holds

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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.