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Record W4415270455 · doi:10.17615/0ybx-yb10

A consensus protocol for functional connectivity analysis in the rat brain

2025· article· en· W4415270455 on OpenAlexfundno aff
Luc Zimmer, Denise Manahan‐Vaughan, Elaine Dempsey, Jean‐Baptiste Langlois, Perrin Clavijo, Jonathan Reinwald, Rogier B. Mars, Olli Gröhn, Zilu Ma, Kristina Herfert, Yongzhi Zhang, Geralda A. F. van Tilborg, Emmanuel Barbier, Ryuta Kawashima, Mickaël Pereira, Valerio Zerbi, Jibran Y. Khokhar, Aline Seuwen, Rustam Rakhmatullin, Caitlin Fowler, Willem M. Otte, Aileen Schroeter, Daniel Ruiz-Pérez, Jennifer Rodger, Oscar Estéban, Kengo Takahashi, Sung-Ho Lee, Guillaume Becq, Ileana Jelescu, Samuel Cramer, Georgios A. Keliris, Piergiorgio Salvan, Arno Doelemeyer, Gerardo Marsella, Eilidh MacNicol, Marc Dhénain, Alejandra López-Castro, Patrick McCunn, Kirk W. Feindel, Francesca Mandino, Eveline Gelderman, Nanyin Zhang, Péter Hermán, Garth J. Thompson, Alessandro Gozzi, Eike Budinger, Luisa Ciobanu, Heidi Johansen‐Berg, Rie Ryoke, Victora X. Wang, Clare Kelly, Lore M. Peeters, Hiroi Nonaka, Patricia Wenk, Sandra Strobelt, Nicolau Beckmann, Noam Shemesh, Alexander Sartorius, Bram F. Coolen, Marleen Verhoye, Cornelius Faber, Markus Sack, Gabriele Russo, Joanes Grandjean, Rodrigo Triana Del Rio, Patricia Pais‐Roldán, Roberto A. Prado‐Alcalá, Claudia Falfán-Melgoza, Marina Célestine, Daphne M. P. Naessens, Tim Rosenow, Fadi Ayad, Jeffrey Glennon, Lisa Meyer-Baese, Roberta Vertullo, Corrie Smith, Carla E. M. Golden, Jaakko Paasonen, David André Barrière, Annemie Van der Linden, Laura J. Nava-Gomez, Natalia Gass, Jamie Near, Luis M. Colón-Pérez, Gianluigi Forloni, Tudor M. Ionescu, Lydia Wachsmuth, Sophie Achard, Guadalupe Sòria, Baogui B. Zhang, Gabriel A. Devenyi, Mónica López‐Hidalgo, Ting Yin, Sally M. Till, Christian F. Beckmann, Peter C. Kind, Marjory Pompilus, Henning M. Reimann, Dorothee P. Auer, Fabien Marchand, Susann Boretius, Yikang Liu, Kajo van der Marel, Annette van der Toorn, Victoria Chapman, Maria E. Torres-García, Isabel Wank, Erwan Selingue, Francisca F. Fernandes, Federico Moro, Basavaraju G. Sanganahalli, Xavier Helluy, David Dopfel, Xianzong Meng, Ines Blockx, Fahmeed Hyder, Rick M. Dijkhuizen, Emma Muñoz‐Moreno, Joanna A. B. Smith, Akira Sumiyoshi, Alberto Lazari, Aleksandra Bortel, Eduardo A. Garza‐Villarreal, Gabriel Desrosiers-Grégoire, Yen‐Yu Ian Shih, Jorge E. Chavez-Negrete, Arnd Heuser, Nikoloz Sirmpilatze, Clément M. Garin, Jason P. Lerch, Corey Horien, Milou Straathof, Lauren A. Hennessy, Pablo D. Pérez, Henriette Lambers, Ron Stoop, Gina L. Quirarte, Stephen J. Sawiak, Erwin L. A. Blezer, Joseph D. Buxbaum, Bhedita J. Seewoo, Roël M. Vrooman, Andrew Harkin, Dan Madularu, Edoardo Micotti, Wolfgang Weber‐Fahr, Benjamin Vidal, Judith R. Homberg, Xavier López-Gil, Alison McIntosh, Sabina Marciano, Eugene Kim, M. Mallar Chakravarty, Tolomeo Daniele, Tom W. J. Scheenen, Sangcheon Choi, Bowen Shi, Yanyan Y. Liu, Aran T. B. van Hout, Antonio Fuentes-Ibañez, Andor Veltien, Nita Hofwijks, Petteri Stenroos, Marloes J. A. G. Henckens, Gen Kaneko, Christian Kerskens, Margaret Broadwater, M. J. W. Prior, Shella Keilholz, Cynthia Anckaerts, Juan José Ortiz, Alejandro Rivera-Olvera, Raúl Tudela, Andreas Heß, Johannes Kaesser, Amir Shmuel, Beatriz M Cardoso, Nick Todd, Diego Ángeles-Valdéz, Giovanna D. Ielacqua, Emma Christiaen, Yujian Diao, Jeffrey W. Dalley, Kai‐Hsiang Chuang, Marcelo Febo, Stefan Zurbruegg, Christian Vanhove, David J. Watson, Jürgen Baudewig, Tobias J. Rutten, Sarael Alcauter, Wen‐Ju Pan, Cassandra Sampaio‐Baptista, Radu Bolbos, Sandrine Bouvard, Monica van den Berg, Stephan Missault, Diana Cash, Filip Sobczak, Amanda Lillywhite, Chao Guo, Arend Heerschap, Thoralf Niendorf, Jérémie Fouquet, Danielle J. Houwing, Jolyon A. Jones, Matthew J. McAuslan

Bibliographic record

VenueUNC Libraries · 2025
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsnot available
FundersDivision of Materials ResearchNational Health and Medical Research CouncilMedical Research CouncilNatural Sciences and Engineering Research Council of CanadaNational Institutes of HealthSimons Initiative for the Developing BrainInnosuisse - Schweizerische Agentur für InnovationsförderungEurostarsVlaamse regeringDirectorate for Biological SciencesCentre Hospitalier Universitaire VaudoisCentre d'Imagerie BioMédicaleUniversité de GenèveCanadian Institutes of Health ResearchFonds Wetenschappelijk OnderzoekNational Natural Science Foundation of ChinaNederlandse Organisatie voor Wetenschappelijk OnderzoekMinistry of Education, Culture, Sports, Science and TechnologyDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoMcGill UniversityDeutsche ForschungsgemeinschaftHorizon 2020 Framework ProgrammeUniversiteit UtrechtFondation Brain CanadaEuropean CommissionKing's College LondonSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungWerner Siemens-StiftungScience Foundation IrelandNational Science FoundationCompute CanadaVersus ArthritisAustralian GovernmentAgence Nationale de la RechercheWellcome TrustÉcole Polytechnique Fédérale de LausanneFundação para a Ciência e a TecnologiaUniversité de LausanneNational Alliance for Research on Schizophrenia and DepressionNational Imaging FacilityCentro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y NanomedicinaShanghaiTech UniversityAutism Speaks
KeywordsProtocol (science)Functional connectivityFunctional magnetic resonance imagingPipeline (software)NeuroimagingFunctional neuroimagingInteroperabilityModalities

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)0.011
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.123
Threshold uncertainty score0.410

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.020
Meta-epidemiology (narrow)0.0040.005
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0090.005
Science and technology studies0.0060.003
Scholarly communication0.0030.002
Open science0.0070.003
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.1230.053

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 head0.069
GPT teacher head0.317
Teacher spread0.248 · 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 designNot applicable
Domainnot available
GenreProtocol

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".

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Citations0
Published2025
Admission routes1
Has abstractno

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