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Cannabis-Associated Psychotic-like Experiences Are Mediated by Developmental Changes in the Parahippocampal Gyrus
Tao Yu, Tianye Jia, Liping Zhu, Sylvane Desrivières, Christine Macare, Yan Bi, Arun L.W. Bokde, Erin Burke Quinlan, Andreas Heinz, Bernd Ittermann, Chuanxin Liu, Lei Ji, Tobias Banaschewski, Decheng Ren, Li Du, Binyin Hou, Herta Flor, Vincent Frouin, Hugh Garavan, Penny Gowland, Jean‐Luc Martinot, Marie‐Laure Paillère Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Qiang Luo, Congying Chu, Tomáš Paus, Luise Poustka, Sarah Hohmann, Sabina Millenet, Michael N. Smolka, Nora C. Vetter, Eva Mennigen, Henrik Walter, Juliane H. Fröhner, Robert Whelan, Guang He, Lin He, Günter Schumann, Guillaume Robert, Michael A. Rapp, Éric Artiges, Sophia Schneider, Christine Bach, Alexis Barbot, Gareth J. Barker, Christian Büchel, Anna Cattrell, Patrick Constant, Hans S. Crombag, Katharina Czech, Jeffrey W. Dalley, Benjamin Decideur, Tade Matthias Spranger, Tamzin L. Ripley, Nadja Heym, Wolfgang H. Sommer, Birgit Fuchs, Jürgen Gallinat, Rainer Spanagel, Mehri Kaviani, Bert Heinrichs, Naresh Subramaniam, Albrecht Ihlenfeld, James Ireland Delosis, Patricia Conrod, Jennifer Jones, Arno Klaassen, Christophe Lalanne, Dirk Lanzerath, Claire Lawrence, Hervé Lemaître, Catherine Mallik, Karl Mann, Adam C. Mar, Lourdes Martinez-Medina, Fabiana Mesquita de Carvahlo, Yannick Schwartz, Ruediger Bruehl, Kathrin Müller, Charlotte Nymberg, Mark Lathrop, Trevor W. Robbins, Zdenka Pausová, Jani Pentillä, Francesca Biondo, Jean‐Baptiste Poline, Maren Struve, Steven Williams, Thomas Hübner, Uli Bromberg, Semiha Aydın, John A. Rogers, Alexander Romanowski, Christine Schmäl, Dirk Schmidt, Stephan Ripke, Mercedes Arroyo, Yolanda Peña‐Oliver, Mira Fauth‐Bühler, Xavier Mignon, Claudia Speiser, Tahmine Fadai, D.N. Stephens, Andreas Ströhle, Marie-Laure Paillère, Nicole Strache, David Theobald, Sarah Jurk, Hélène Vulser, Rubén Miranda, Juliana Yacubilin, Alexander Genauck, Caroline Parchetka, Isabel Gemmeke, Johann Kruschwitz, Katharina WeiB, Dimitri Papadopoulos, Irina Filippi, Alex Ing, Barbara Ruggeri, Bing Xu, Éanna Hanratty, Veronika Ziesch, Alicia Stedman
Bibliographic record
VenueJournal of the American Academy of Child & Adolescent Psychiatry · 2019
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsHolland Bloorview Kids Rehabilitation Hospital
FundersNational Institute of Biomedical Imaging and BioengineeringSanming Project of Medicine in ShenzhenMedical Research CouncilInstitute of Psychiatry, Psychology and Neuroscience, King’s College LondonFundamental Research Funds for the Central UniversitiesNational Institutes of HealthBundesministerium für Bildung und ForschungUniversität MannheimNational Key Research and Development Program of ChinaJinan UniversityForskningsrådet om Hälsa, Arbetsliv och VälfärdShanghai Jiao Tong UniversityMinistry of Education, IndiaFudan UniversityNational Natural Science Foundation of ChinaBerlin Institute of HealthInstitut National de la Santé et de la Recherche MédicaleWellcome TrustAgence Nationale de la RechercheHigher Education Discipline Innovation ProjectUniversity of TorontoNational Institute of Mental HealthSvenska Forskningsrådet FormasJining Medical UniversityTrinity College DublinDeutsche ForschungsgemeinschaftKing's College LondonNational Institute for Health and Care ResearchSouth London and Maudsley NHS Foundation TrustBloorview Research Institute
KeywordsParahippocampal gyrusCannabisNeurosciencePsychologyLimbic lobePsychiatryMedicineTemporal lobeEpilepsy
Abstract
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 imitationNot 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 head0.011
GPT teacher head0.289
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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
Citations14
Published2019
Admission routes2
Has abstractno