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Record W2045694786 · doi:10.1167/10.7.589

Face detection in acquired prosopagnosia

2010· article· en· W2045694786 on OpenAlexaff
Brad Duchaine, Lúcia Garrido, Charles D. Fox, Giuseppe Iaria, Alla Sekunova, Jason J.S. Barton

Bibliographic record

VenueJournal of Vision · 2010
Typearticle
Languageen
FieldNeuroscience
TopicFace Recognition and Perception
Canadian institutionsUniversity of CalgaryUniversity of British Columbia
Fundersnot available
KeywordsPsychologyFusiform face areaPerceptionFace perceptionAudiologyFace (sociological concept)Visual cortexFacial recognition systemCognitive psychologyNeurosciencePattern recognition (psychology)Medicine

Abstract

fetched live from OpenAlex

Detection of faces in visual scenes has received extensive attention in machine vision, but limited research has addressed face detection in humans. Here we assess face detection in six participants with acquired prosopagnosia resulting from a variety of lesions to better understand the processes and neural areas contributing to face detection and the relation of detection to other stages of face recognition. All six participants showed severe impairments on tests of facial identity recognition, confirming prosopagnosia, and participants were also extensively tested for perceptual discrimination of faces. We used structural MRI to delineate the lesions and functional MRI to show the status of the core regions of the face-processing network (OFA, FFA, STS). Two tasks requiring visual search for the presence of a face among distractor stimuli assessed detection in the patients and 12 age-matched controls. Two participants, R-AT2 and B-AT1, performed normally on both tasks. These patients had anterior temporal lesions that did not affect their core face-processing network. Two participants, R-AT1 and R-IOT4, had severe detection impairments while the performance of R-IOT1 and B-AT/IOT1 was borderline. These four subjects all showed difficulty on perceptual tasks requiring discrimination of facial identity. Except for R-AT1, all subjects had lesions to right inferior occipitotemporal cortex, with loss of the FFA and OFA in R-IOT1 and B-AT/IOT1 and loss of the FFA alone in R-IOT4. Furthermore, DTI analysis in R-AT1 suggested reduced fractional anisotropy in the region of the FFA and OFA. The association between detection and identity perception suggests that these abilities may be supported by the same processes. Impairment in these abilities correlates with damage to the core face-processing network in the right hemisphere. Face detection deficits in R-IOT4 despite preservation of the right and left OFA indicates that these regions are not sufficient on their own to support detection.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.029
GPT teacher head0.322
Teacher spread0.293 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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