A new way of classifying developmental prosopagnosia: Balanced Integration Score

Cortex. 2024 Mar:172:159-184. doi: 10.1016/j.cortex.2023.12.011. Epub 2024 Jan 17.

Abstract

Despite severe everyday problems recognising faces, some individuals with developmental prosopagnosia (DP) can achieve typical accuracy scores on laboratory face recognition tests. To address this, studies sometimes also examine response times (RTs), which tend to be longer in DPs relative to control participants. In the present study, 24 potential (according to self-report) DPs and 110 age-matched controls completed the Cambridge Face and Bicycle Memory Tests, old new faces task, and a famous faces test. We used accuracy and the Balanced Integration Score (BIS), a measure that adjusts accuracy for RTs, to classify our sample at the group and individual levels. Subjective face recognition ability was assessed using the PI20 questionnaire and semi structured interviews. Fifteen DPs showed a major impairment using BIS compared with only five using accuracy alone. Logistic regression showed that a model incorporating the BIS measures was the most sensitive for classifying DP and showed highest area under the curve (AUC). Furthermore, larger between-group effect sizes were observed for a derived global (averaged) memory measure calculated using BIS versus accuracy alone. BIS is thus an extremely sensitive novel measure for attenuating speed-accuracy trade-offs that can otherwise mask impairment measured only by accuracy in DP.

Keywords: Balanced Integration Score; Developmental prosopagnosia; Face processing; Face recognition; Neurodevelopmental; Speed-accuracy trade off.

MeSH terms

  • Facial Recognition* / physiology
  • Humans
  • Pattern Recognition, Visual / physiology
  • Prosopagnosia* / diagnosis
  • Reaction Time
  • Self Report
  • Surveys and Questionnaires