Evidence map›Paper›PMID 22445348›Full record

ArticleNeuron2012

Predicting regional neurodegeneration from the healthy brain functional connectome.

Juan Zhou, Efstathios D Gennatas, Joel H Kramer, Bruce L Miller, William W Seeley

Registry-linked trialAbstract read
In one paragraph

Article in Neuron, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03939286 (Multimodal Imaging Study on Physical Activity in Patients With Alzheimer's Disease), which is not on this map. Cited by 431 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
431citing papers in PubMed, 8 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.

NCT03939286 naunknown statusnot on this mapstarted 2019, after this paper: background citation

Multimodal Imaging Study on Physical Activity in Patients With Alzheimer's Disease

TypeinterventionalSponsorRWTH Aachen UniversityRan2019 to 2021Enrolled50ConditionsAlzheimer DiseaseArmsClinical-neurological and neuropsychological tests, Blood sampling, Assessment of physical activity via fitness tracker/diary, MRI-examinations
3 · Its place in the literature

Who cites it

431 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  4. A co-alteration parceling of the cingulate cortex.Brain structure & function · 2022
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371 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Juan ZhouMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA 94143, USA.
Efstathios D Gennatas
Joel H Kramer
Bruce L Miller
William W Seeley

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
UC Irvine Alzheimer's Disease Research Center Induced Pluripotent Stem Cell CoreP50AG016573 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI LAFERLA, FRANK M · 2000 to 2019
$37.0M
PrPSc SPECIFIC INTERACTION WITH NOVEL PrP-Fc FUSION PROTEINSP50AG023501 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MILLER, BRUCE L · 2004 to 2018
$27.1M
NIA NIH HHS AG1657303NIA NIH HHS AG19724NIA NIH HHS P01 AG019724NIA NIH HHS P50 AG023501
6 · The paper itself

Abstract

Neurodegenerative diseases target large-scale neural networks. Four competing mechanistic hypotheses have been proposed to explain network-based disease patterning: nodal stress, transneuronal spread, trophic failure, and shared vulnerability. Here, we used task-free fMRI to derive the healthy intrinsic connectivity patterns seeded by brain regions vulnerable to any of five distinct neurodegenerative diseases. These data enabled us to investigate how intrinsic connectivity in health predicts region-by-region vulnerability to disease. For each illness, specific regions emerged as critical network "epicenters" whose normal connectivity profiles most resembled the disease-associated atrophy pattern. Graph theoretical analyses in healthy subjects revealed that regions with higher total connectional flow and, more consistently, shorter functional paths to the epicenters, showed greater disease-related vulnerability. These findings best fit a transneuronal spread model of network-based vulnerability. Molecular pathological approaches may help clarify what makes each epicenter vulnerable to its targeting disease and how toxic protein species travel between networked brain structures.

Indexed as

Brain MappingAgedAtrophyBrainFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNerve NetNeural PathwaysNeurodegenerative DiseasesOxygenReference ValuesOxygen

Identifiers

PMID22445348
PMCPMC3361461

What OpenQuestion holds

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Registered trials

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.