Evidence map›Paper›PMID 28736521›Full record

ArticleFrontiers in aging neuroscience2017

Group-Level Progressive Alterations in Brain Connectivity Patterns Revealed by Diffusion-Tensor Brain Networks across Severity Stages in Alzheimer's Disease.

Javier Rasero, Carmen Alonso-Montes, Ibai Diez, Laiene Olabarrieta-Landa, Lakhdar Remaki, Iñaki Escudero, Beatriz Mateos, Paolo Bonifazi, Manuel Fernandez, Juan Carlos Arango-Lasprilla and 3 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

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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

13 authors.

Javier RaseroDipartimento Interateneo di Fisica, Istituto Nazionale di Fisica Nucleare, Universita degli Studi di BariBari, Italy.
Carmen Alonso-MontesBasque Center for Applied MathematicsBilbao, Spain.
Ibai DiezBiocruces Health Research InstituteBarakaldo, Spain.
Laiene Olabarrieta-LandaDepartment of Education and Psychology, University of DeustoBilbao, Spain.
Lakhdar RemakiBasque Center for Applied MathematicsBilbao, Spain.
Iñaki EscuderoBiocruces Health Research InstituteBarakaldo, Spain.
Beatriz MateosBiocruces Health Research InstituteBarakaldo, Spain.
Paolo BonifaziBiocruces Health Research InstituteBarakaldo, Spain.
Manuel FernandezBiocruces Health Research InstituteBarakaldo, Spain.
Juan Carlos Arango-LasprillaBiocruces Health Research InstituteBarakaldo, Spain.
Sebastiano StramagliaDipartimento Interateneo di Fisica, Istituto Nazionale di Fisica Nucleare, Universita degli Studi di BariBari, Italy.
Jesus M CortesBiocruces Health Research InstituteBarakaldo, Spain.
Alzheimer’s Disease Neuroimaging Initiative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a chronically progressive neurodegenerative disease highly correlated to aging. Whether AD originates by targeting a localized brain area and propagates to the rest of the brain across disease-severity progression is a question with an unknown answer. Here, we aim to provide an answer to this question at the group-level by looking at differences in diffusion-tensor brain networks. In particular, making use of data from Alzheimer's Disease Neuroimaging Initiative (ADNI), four different groups were defined (all of them matched by age, sex and education level): G

Indexed as

Alzheimer’s diseasebrain networksdiffusion-tensor imagingseverity progression

Identifiers

PMID28736521
PMCPMC5500648

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.