Evidence map›Paper›PMID 34647029›Full record

ArticleCerebral cortex communications2021

A Structural Connectivity Disruption One Decade before the Typical Age for Dementia: A Study in Healthy Subjects with Family History of Alzheimer's Disease.

F Ramírez-Toraño, Kausar Abbas, Ricardo Bruña, Silvia Marcos de Pedro, Natividad Gómez-Ruiz, Ana Barabash, Ernesto Pereda, Alberto Marcos, Ramón López-Higes, Fernando Maestu and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Cerebral cortex communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

11 authors at 6 institutions in 2 countries.

F Ramírez-TorañoLaboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid 28223, Comunidad de Madrid, Spain.
Kausar AbbasPurdue Institute for Integrative Neuroscience, Purdue University, West-Lafayette, IN 46202, USA.
Ricardo BruñaLaboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid 28223, Comunidad de Madrid, Spain.
Silvia Marcos de PedroLaboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid 28223, Comunidad de Madrid, Spain.
Natividad Gómez-RuizSección Neurorradiología, Servicio de Diagnóstico por Imagen, Hospital Clínico San Carlos, Madrid 28040, Comunidad de Madrid, Spain.
Ana BarabashEndocrinology and Nutrition Department, Hospital Clinico San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, Madrid 28040, Comunidad de Madrid, Spain.
Ernesto PeredaLaboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid 28223, Comunidad de Madrid, Spain.
Alberto MarcosNeurology Department, Hospital Clinico San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, Madrid 28040, Comunidad de Madrid, Spain.
Ramón López-HigesDepartment of Experimental Psychology, Universidad Complutense de Madrid, Madrid 28223, Comunidad de Madrid, Spain.
Fernando MaestuLaboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid 28223, Comunidad de Madrid, Spain.
Joaquín GoñiPurdue Institute for Integrative Neuroscience, Purdue University, West-Lafayette, IN 46202, USA.
Hospital Clínico San Carlos · ESPurdue University West Lafayette · USUniversidad Complutense de Madrid · ESUniversidad Politécnica de Madrid · ESBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ESUniversidad de La Laguna · ES

Funding

Translational Research and Science Education (OUT)P60AA007611 · NIAAA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI DAVID A. KAREKEN · 2003 to 2026
$45.5M
Statistical models for multi-modal brain imaging studies of HIV-associated cognitive declineR01MH108467 · NIMH · INDIANA UNIVERSITY INDIANAPOLIS · PI HAREZLAK, JAROSLAW · 2015 to 2019
$2.0M
Integrative Bioinformatics Approaches to Human Brain Genomics and ConnectomicsR01EB022574 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI SHEN, LI · 2016 to 2019
$1.9M
NIAAA NIH HHS P60 AA007611NIBIB NIH HHS R01 EB022574NIMH NIH HHS R01 MH108467
6 · The paper itself

Abstract

The concept of the brain has shifted to a complex system where different subnetworks support the human cognitive functions. Neurodegenerative diseases would affect the interactions among these subnetworks and, the evolution of impairment and the subnetworks involved would be unique for each neurodegenerative disease. In this study, we seek for structural connectivity traits associated with the family history of Alzheimer's disease, that is, early signs of subnetworks impairment due to Alzheimer's disease. The sample in this study consisted of 123 first-degree Alzheimer's disease relatives and 61 nonrelatives. For each subject, structural connectomes were obtained using classical diffusion tensor imaging measures and different resolutions of cortical parcellation. For the whole sample, independent structural-connectome-traits were obtained under the framework of

Indexed as

Alzheimer’s diseasecascading network failurediffusion-weighted imagingearly detectionfamily history of Alzheimer’s disease

Identifiers

PMID34647029
PMCPMC8501268
OpenAlexW3198104569

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.