2020
DOI: 10.31234/osf.io/68gbm
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Comparing the sensitivity of face matching assessments to detect face perception deficits

Abstract: Numerous neurological, developmental, and psychiatric conditions demonstrate impaired face recognition abilities, which can be socially debilitating. These impairments could be caused by either deficient face perceptual processes, such as reduced ability to integrate face parts into a whole, or deficient face memory processes, such as reduced ability to associate a face with semantic information. Research and clinical practice have focused more on developing face memory assessments, while it currently remains … Show more

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Cited by 6 publications
(9 citation statements)
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References 69 publications
(129 reference statements)
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“…Consistent with a recent study (Mishra et al, 2020; but see Duchaine & Nakayama, 2004), this finding suggests that face perception deficits in developmental prosopagnosia may originate in early stages of face processing, before image-invariant representations are extracted, but more systematic research is needed.…”
Section: Empirical Implicationssupporting
confidence: 85%
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“…Consistent with a recent study (Mishra et al, 2020; but see Duchaine & Nakayama, 2004), this finding suggests that face perception deficits in developmental prosopagnosia may originate in early stages of face processing, before image-invariant representations are extracted, but more systematic research is needed.…”
Section: Empirical Implicationssupporting
confidence: 85%
“…The BFRT is a standardised, widely used paper-based test that was originally developed for clinical evaluations of various neuropsychological conditions (e.g., Benton, 1980;Benton et al, 1994). More recently, the BFRT has been used in developmental prosopagnosia research (e.g., Huis in't Veld, 2012;Mishra et al, 2020; for a comprehensive list see Table A1 in Appendix A). Several normative data for the BFRT have been published (Albonico et al, 2017;Benton et al, 1994;Rossion & Michel, 2018;Wang et al, 2020), including for the computer-based version (Rossion & Michel, 2018).…”
Section: Methodsmentioning
confidence: 99%
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