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Record W4403262133 · doi:10.1016/j.tem.2024.08.006

A platform to map the mind–mitochondria connection and the hallmarks of psychobiology: the MiSBIE study

2024· review· en· W4403262133 on OpenAlexaff
Catherine Kelly, Caroline Trumpff, Carlos Alberto Palacio Acosta, Stephanie Assuras, Jack W. Baker, Sophia Basarrate, Alexander Behnke, Ke Bo, Natalia Bobba‐Alves, Frances A. Champagne, Quinn Conklin, Marissa Cross, Philip L. De Jager, Kris Engelstad, Elissa Epel, Soah Grace Franklin, Michio Hirano, Qiuhan Huang, Alex Junker, Robert‐Paul Juster, Darshana Kapri, Clemens Kirschbaum, Mangesh Kurade, Vincenzo Lauriola, Shufang Li, Cynthia C Liu, Grace Liu, Bruce S. McEwen, Marlon A. McGill, Kathleen McIntyre, Anna S. Monzel, Jeremy Michelson, Aric A. Prather, Eli Puterman, Xiomara Q. Rosales, Peter A. Shapiro, David Shire, George M. Slavich, Richard P. Sloan, Janell L.M. Smith, Marisa N. Spann, Julie Spicer, Gabriel Sturm, Sophia Tepler, Michel Thiebaut de Schotten, Tor D. Wager, Martin Picard

Bibliographic record

VenueTrends in Endocrinology and Metabolism · 2024
Typereview
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsUniversity of British ColumbiaUniversité de Montréal
FundersNational Center for Advancing Translational SciencesNational Institutes of HealthNational Cancer InstituteNathaniel Wharton FundNational Institute on AgingNational Institute of Mental Health
KeywordsBehavioral neuroscienceNeuroscienceConnection (principal bundle)Cognitive scienceMitochondrionPsychologyBiologyEngineeringCell biology

Abstract

fetched live from OpenAlex

Health emerges from coordinated psychobiological processes powered by mitochondrial energy transformation. But how do mitochondria regulate the multisystem responses that shape resilience and disease risk across the lifespan? The Mitochondrial Stress, Brain Imaging, and Epigenetics (MiSBIE) study was established to address this question and determine how mitochondria influence the interconnected neuroendocrine, immune, metabolic, cardiovascular, cognitive, and emotional systems among individuals spanning the spectrum of mitochondrial energy transformation capacity, including participants with rare mitochondrial DNA (mtDNA) lesions causing mitochondrial diseases (MitoDs). This interdisciplinary effort is expected to generate new insights into the pathophysiology of MitoDs, provide a foundation to develop novel biomarkers of human health, and integrate our fragmented knowledge of bioenergetic, brain-body, and mind-mitochondria processes relevant to medicine and public health.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score0.789

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.136
GPT teacher head0.485
Teacher spread0.349 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations34
Published2024
Admission routes1
Has abstractyes

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