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Record W2473025841

Hemispheric Lateralization of Theory of Mind

2016· article· en· W2473025841 on OpenAlexaff
Danna Zevy, Adam Cohen

Bibliographic record

VenueScholarship@Western (Western University) · 2016
Typearticle
Languageen
FieldNeuroscience
TopicHemispheric Asymmetry in Neuroscience
Canadian institutionsWestern University
Fundersnot available
KeywordsTheory of mindLateralization of brain functionPsychologyCognitive psychologyPopulationRight hemisphereLeft and rightAutism spectrum disorderTemporoparietal junctionAutismDevelopmental psychologyCognitionNeuroscience
DOInot available

Abstract

fetched live from OpenAlex

Theory of mind (ToM) is defined as the ability to imagine and reason about states of mind that others hold. This skill is essential for functioning in the social world and core deficits in ToM are seen in the autism spectrum disorder (ASD) population. Recent studies have shown ToM to be functionally lateralized on the right side of the brain, specifically located in the right temporoparietal junction (RTPJ; Saxe & Wexler, 2005). This study examined to what extent ToM is right lateralized, and sought to test the right lateralization account with a behavioural study. A series of 3 experiments were performed, which compared participants’ reaction times to ToM information presented to the left and right visual fields and motor responses with left and right hands. Based on well-established findings of the motor advantages of one’s dominant hand (Annett, 1970), a right hand advantage on the present task was predicted if ToM is bilaterally distributed across the two sides of the brain. However, if ToM is right lateralized, the left hand should receive its own advantage because the right hemisphere controls it, which predicts that the left hand should be as fast as, if not faster, than the right hand. No significant differences between the two presentation sides or responding hands were found, thus providing moderate support for the right lateralization of ToM. The implications of this in terms of the ASD population are discussed, as well as suggestions for future research that will build upon this finding.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.801

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.108
GPT teacher head0.314
Teacher spread0.206 · 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 designBench or experimental
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

Citations1
Published2016
Admission routes1
Has abstractyes

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