Evidence map›Paper›PMID 28474365›Full record

ArticleHuman brain mapping2017

Tackling variability: A multicenter study to provide a gold-standard network approach for frontotemporal dementia.

Lucas Sedeño, Olivier Piguet, Sofía Abrevaya, Horacio Desmaras, Indira García-Cordero, Sandra Baez, Laura Alethia de la Fuente, Pablo Reyes, Sicong Tu, Sebastian Moguilner and 11 more

Abstract readMulticenter Study
In one paragraph

Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Temporal Irreversibility of Large-Scale Brain Dynamics in Alzheimer's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

21 authors.

Lucas SedeñoInstitute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina.
Olivier PiguetNeuroscience Research Australia, Sydney, Australia and School of Medical Sciences, The University of New South Wales, Sydney, Australia.
Sofía AbrevayaInstitute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina.
Horacio DesmarasInstitute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina.
Indira García-CorderoInstitute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina.
Sandra BaezInstitute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina.
Laura Alethia de la FuenteInstitute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina.
Pablo ReyesIntellectus Memory and Cognition Center, Mental Health and Psychiatry Department, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Colombia.
Sicong TuFMRIB, Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, United Kingdom.
Sebastian MoguilnerInstitute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina.
Nicolas LoriInstitute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina.
Ramon Landin-RomeroNeuroscience Research Australia, Sydney, Australia and School of Medical Sciences, The University of New South Wales, Sydney, Australia.
Diana MatallanaIntellectus Memory and Cognition Center, Mental Health and Psychiatry Department, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Colombia.
Andrea SlachevskyPhysiopathology Department, ICBM Neuroscience Department, Faculty of Medicine, University of Chile, Santiago, Chile.
Teresa TorralvaInstitute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina.
Dante ChialvoNational Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
Fiona KumforNeuroscience Research Australia, Sydney, Australia and School of Medical Sciences, The University of New South Wales, Sydney, Australia.
Adolfo M GarcíaInstitute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina.
Facundo ManesInstitute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina.
John R HodgesNeuroscience Research Australia, Sydney, Australia and School of Medical Sciences, The University of New South Wales, Sydney, Australia.
Agustin IbanezInstitute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina.ORCID 0000-0001-6758-5101

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers represent a critical research area in neurodegeneration disease as they can contribute to studying potential disease-modifying agents, fostering timely therapeutic interventions, and alleviating associated financial costs. Functional connectivity (FC) analysis represents a promising approach to identify early biomarkers in specific diseases. Yet, virtually no study has tested whether potential FC biomarkers prove to be reliable and reproducible across different centers. As such, their implementation remains uncertain due to multiple sources of variability across studies: the numerous international centers capable conducting FC research vary in their scanning equipment and their samples' socio-cultural background, and, more troublingly still, no gold-standard method exists to analyze FC. In this unprecedented study, we aim to address both issues by performing the first multicenter FC research in the behavioral-variant frontotemporal dementia (bvFTD), and by assessing multiple FC approaches to propose a gold-standard method for analysis. We enrolled 52 bvFTD patients and 60 controls from three international clinics (with different fMRI recording parameters), and three additional neurological patient groups. To evaluate FC, we focused on seed analysis, inter-regional connectivity, and several graph-theory approaches. Only graph-theory analysis, based on weighted-matrices, yielded consistent differences between bvFTD and controls across centers. Also, graph metrics robustly discriminated bvFTD from the other neurological conditions. The consistency of our findings across heterogeneous contexts highlights graph-theory as a potential gold-standard approach for brain network analysis in bvFTD. Hum Brain Mapp 38:3804-3822, 2017. © 2017 Wiley Periodicals, Inc.

Indexed as

Brain MappingMagnetic Resonance ImagingAgedAlzheimer DiseaseAphasia, Primary ProgressiveArgentinaAtrophyAustraliaBrainColombiaFemaleFrontotemporal DementiaHumansMaleMiddle AgedNeural Pathwaysbiomarkersfrontotemporal dementiafunctional connectivitygraph-theory and neurodegenerative diseases

Identifiers

PMID28474365
PMCPMC6867023

What OpenQuestion holds

Textmetadata
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.