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Record W2095991191 · doi:10.1037/a0030257

In search of integrative processes: Basic psychological need satisfaction predicts medial prefrontal activation during decisional conflict.

2012· article· en· W2095991191 on OpenAlexaff
Stefano I. Di Domenico, Marc A. Fournier, Hasan Ayaz, Anthony C. Ruocco

Bibliographic record

VenueJournal of Experimental Psychology General · 2012
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsPsychologyPrefrontal cortexCompetence (human resources)AutonomyCognitive psychologyPreferenceSocial psychologyConflict resolutionCognitionNeuroscience

Abstract

fetched live from OpenAlex

Research has shown that people's abilities to develop and act from a coherent sense of self are facilitated by satisfaction of the basic psychological needs for competence, relatedness, and autonomy. The present study utilized functional near infrared spectroscopy (fNIRS) to examine the effect of need satisfaction on activity in the medial prefrontal cortex (MPFC), a key region in processing information about the self. Participants completed a decision-making task (e.g., Which occupation would you prefer, dancer or chemist?) in which they made a series of forced choices according to their personal preferences. The degree of decisional conflict (i.e., choice difficulty) between the available response options was manipulated on the basis of participants' unique preference ratings for the target stimuli, which were obtained prior to scanning. Need satisfaction predicted elevated MPFC activity during high-conflict relative to low-conflict situations, suggesting that one way need satisfaction may promote self-coherence is by enhancing the utilization of self-knowledge in the resolution of decisional conflicts.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.109
GPT teacher head0.481
Teacher spread0.371 · 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.

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

Citations33
Published2012
Admission routes1
Has abstractyes

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