Evidence map›Paper›PMID 18691658›Full record

ArticleNeuroImage2008

Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: an MRI study of 676 AD, MCI, and normal subjects.

Xue Hua, Alex D Leow, Neelroop Parikshak, Suh Lee, Ming-Chang Chiang, Arthur W Toga, Clifford R Jack, Michael W Weiner, Paul M Thompson, Alzheimer's Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in NeuroImage, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 211 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
211citing 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

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

  1. Pooled it
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  4. Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity.Proceedings of the National Academy of Sciences of the United States of America · 2013
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  9. Postmortem neuropathologies are associated with retrospective tensor-based morphometry findings in Alzheimer's dementia continuum.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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  15. Review
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151 more citing papers are in PubMed but not listed here.

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.

Xue HuaLaboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Neuroscience Research Building 225E, 635 Charles Young Drive, Los Angeles, CA 90095-1769, USA.
Alex D Leow
Neelroop Parikshak
Suh Lee
Ming-Chang Chiang
Arthur W Toga
Clifford R Jack
Michael W Weiner
Paul M Thompson
Alzheimer's Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
RECRUITMENT COREU19AG010483 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FELDMAN, HOWARD · 2013 to 2020
$80.6M
UCLA ALZHEIMERS DISEASE RESEARCH CENTERP50AG016570 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GRILL, JOSHUA · 1999 to 2014
$25.9M
DIGITAL REPRESENTATION AND VISUALIZATION OF HUMAN BRAINR01LM005639 · NLM · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TOGA, ARTHUR W · 1995 to 2005
$1.8M
Novel PDEs for Cortical Mapping and Analysis in DiseaseR21RR019771 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2003 to 2004
$351k
Environmental Etiologies of Neurological Disorders (NEUROTOXICOLOGY 24)U13ES016515 · NIEHS · UNIV OF ARKANSAS FOR MED SCIS · PI CRANMER, JOAN MARIE · 2007 to 2007
$26k
NCRR NIH HHS R21 RR019771NCRR NIH HHS RR019771NIA NIH HHS AG016570NIA NIH HHS P50 AG016570NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG010483NIBIB NIH HHS EB01651NIEHS NIH HHS U13 ES016515NLM NIH HHS LM05639NLM NIH HHS R01 LM005639
6 · The paper itself

Abstract

In one of the largest brain MRI studies to date, we used tensor-based morphometry (TBM) to create 3D maps of structural atrophy in 676 subjects with Alzheimer's disease (AD), mild cognitive impairment (MCI), and healthy elderly controls, scanned as part of the Alzheimer's Disease Neuroimaging Initiative (ADNI). Using inverse-consistent 3D non-linear elastic image registration, we warped 676 individual brain MRI volumes to a population mean geometric template. Jacobian determinant maps were created, revealing the 3D profile of local volumetric expansion and compression. We compared the anatomical distribution of atrophy in 165 AD patients (age: 75.6+/-7.6 years), 330 MCI subjects (74.8+/-7.5), and 181 controls (75.9+/-5.1). Brain atrophy in selected regions-of-interest was correlated with clinical measurements--the sum-of-boxes clinical dementia rating (CDR-SB), mini-mental state examination (MMSE), and the logical memory test scores - at voxel level followed by correction for multiple comparisons. Baseline temporal lobe atrophy correlated with current cognitive performance, future cognitive decline, and conversion from MCI to AD over the following year; it predicted future decline even in healthy subjects. Over half of the AD and MCI subjects carried the ApoE4 (apolipoprotein E4) gene, which increases risk for AD; they showed greater hippocampal and temporal lobe deficits than non-carriers. ApoE2 gene carriers--1/6 of the normal group--showed reduced ventricular expansion, suggesting a protective effect. As an automated image analysis technique, TBM reveals 3D correlations between neuroimaging markers, genes, and future clinical changes, and is highly efficient for large-scale MRI studies.

Indexed as

AgedAlzheimer DiseaseApolipoprotein E4BrainBrain MappingDisease ProgressionHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeuropsychological TestsApolipoprotein E4

Identifiers

PMID18691658
PMCPMC3197851

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.