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Record W2166377545 · doi:10.1093/cercor/bhs329

Neuroimaging Evidence of the Anatomo-Functional Organization of the Human Cingulate Motor Areas

2012· article· en· W2166377545 on OpenAlexafffund
Céline Amiez, Michael Petrides

Bibliographic record

VenueCerebral Cortex · 2012
Typearticle
Languageen
FieldNeuroscience
TopicMotor Control and Adaptation
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
FundersCanadian Institutes of Health Research
KeywordsCingulate cortexNeuroscienceHuman brainMotor cortexSulcusAnterior cingulate cortexFunctional magnetic resonance imagingSupplementary motor areaPsychologyMotor areaCentral nervous systemCognitionStimulation

Abstract

fetched live from OpenAlex

In the monkey, 3 motor areas have been identified in the cortex occupying the banks of the cingulate sulcus (cgs): A rostral cingulate motor area and 2 caudal cingulate motor areas, 1 located in the dorsal bank and the other in the ventral bank of the sulcus. The homologs of these 3 cingulate motor areas in the human brain are poorly understood. The present functional magnetic resonance imaging study examined the anatomo-functional organization of the cingulate motor areas in the human brain. A subject by subject analysis revealed the existence of 3 motor areas along the cgs and these areas appear to be somatotopically organized. Importantly, these 3 motor areas relate to the specific morphological features of the cingulate/paracingulate cortex. These results demonstrate the location and organization of the 3 cingulate motor areas in the human brain and suggest a well-preserved organization of these motor areas from the monkey to the human brain.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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

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 head0.040
GPT teacher head0.257
Teacher spread0.217 · 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

Citations212
Published2012
Admission routes2
Has abstractyes

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