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The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint

2019· article· en· W2912702435 on OpenAlexaff
Enrico Premi, Vince D. Calhoun, Matteo Diano, Stefano Gazzina, Maura Cosseddu, Antonella Alberici, Silvana Archetti, Donata Paternicò, Roberto Gasparotti, John C. van Swieten, Daniela Galimberti, Raquel Sánchez‐Valle, Robert Laforce, Fermín Moreno, Matthis Synofzik, Caroline Graff, Mario Masellis, Maria Carmela Tartaglia, James B. Rowe, Rik Vandenberghe, Elizabeth Finger, Fabrizio Tagliavini, Alexandre de Mendonça, Isabel Santana, Christopher Butler, Simon Ducharme, Alexander Gerhard, Adrian Danek, Johannes Levin, Markus Otto, Giovanni B. Frisoni, Stefano F. Cappa, Sandro Sorbi, Alessandro Padovani, Jonathan D. Rohrer, Barbara Borroni, Maria Rosário Almeida, Sarah Anderl‐Straub, Christin Andersson, Anna Antonell, Andrea Arighi, Mircea Balasa, Myriam Barandiarán, Núria Bargalló, Benjamin Bender, Luisa Benussi, Giuliano Binetti, Sandra E. Black, Martina Bocchetta, Sergi Borrego‐Écija, José Brás, Rose Bruffaerts, Paola Caroppo, David M. Cash, Miguel Castelo‐Branco, Rhian S. Convery, Thomas Cope, María de Arriba, Giuseppe Di Fede, Zigor Díaz, Katrina M. Dick, Diana Duro, Chiara Fenoglio, Carlos Ferreira, Catarina B. Ferreira, Toby Flanagan, Nick C. Fox, Morris Freedman, Giorgio Fumagalli, Alazne Gabilondo, Serge Gauthier, Roberta Ghidoni, Giorgio Giaccone, Ana Gorostidi, Caroline Greaves, Rita Guerreiro, Carolin Heller, Tobias Hoegen, Begoña Indakoetxea, Vesna Jelić, Lize C. Jiskoot, Hans‐Otto Karnath, Ron Keren, Maria João Leitão, Albert Lladó, Gemma Lombardi, Sandra Loosli, Carolina Maruta, Simon Mead, Lieke Meeter, Gabriel Miltenberger, Rick van Minkelen, Sara Mitchell, Benedetta Nacmias, Mollie Neason, Jennifer Nicholas, Linn Öijerstedt, Jaume Olives, Jessica Panman, Janne M. Papma, Maximilian Patzig, Michela Pievani, Sara Prioni, Catharina Prix, Rosa Rademakers, Veronica Redaelli, Timothy Rittman, Ekaterina Rogaeva, Pedro Rosa‐Neto, Giacomina Rossi, Martin N. Rossor, Beatriz Santiago, Elio Scarpini, Elisa Semler, Rachelle Shafei, Christen Shoesmith, Miguel Tábuas‐Pereira, Mikel Tainta, David F. Tang‐Wai, David L. Thomas, Håkan Thonberg, Carolyn Timberlake, Pietro Tiraboschi, Mathieu Vandenbulcke, Michele Veldsman, Ana Verdelho, Jorge Villanúa, Jason D. Warren, Carlo Wilke, Henrik Zetterberg, Miren Zulaica

Bibliographic record

VenueNeuroImage · 2019
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsMcGill UniversityWestern UniversitySunnybrook Health Science CentreToronto Western HospitalUniversité Laval
FundersNational Institute of Neurological Disorders and StrokeNational Institute of General Medical SciencesNational Institute of Mental HealthMedical Research CouncilNational Institute for Health and Care ResearchNational Institute of Biomedical Imaging and BioengineeringWellcome TrustNational Institutes of HealthNational Science Foundation
KeywordsFrontotemporal dementiaNeuroimagingDementiaNeurosciencePsychologyFunctional magnetic resonance imagingBiomarkerMedicineInternal medicineBiologyGeneticsDisease

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.249
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations43
Published2019
Admission routes1
Has abstractno

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