August 2023
Volume 23, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   August 2023
Can face recognition/recollection in developmental prosopagnosia really be improved? Evidence from a repetition-lag training paradigm
Author Affiliations & Notes
  • Leah Kirsch
    Department of Psychiatry, Harvard Medical School, Boston MA
    Boston Attention and Learning Lab, Boston VA Healthcare System, Boston, MA
  • Regan Fry
    Department of Psychiatry, Harvard Medical School, Boston MA
    Boston Attention and Learning Lab, Boston VA Healthcare System, Boston, MA
  • Mieke Verfaellie
    Memory Disorders Research Center, Boston VA Healthcare Systems, Boston MA
    Department of Psychiatry, Boston University School of Medicine, Boston MA
  • Nicole Anderson
    Departments of Psychology and Psychiatry, University of Toronto, ON, Canada
  • Joseph DeGutis
    Department of Psychiatry, Harvard Medical School, Boston MA
    Boston Attention and Learning Lab, Boston VA Healthcare System, Boston, MA
  • Footnotes
    Acknowledgements  This work was supported by the National Eye Institute (R01 EY032510-02)
Journal of Vision August 2023, Vol.23, 5825. doi:https://doi.org/10.1167/jov.23.9.5825
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      Leah Kirsch, Regan Fry, Mieke Verfaellie, Nicole Anderson, Joseph DeGutis; Can face recognition/recollection in developmental prosopagnosia really be improved? Evidence from a repetition-lag training paradigm. Journal of Vision 2023;23(9):5825. https://doi.org/10.1167/jov.23.9.5825.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

A key extra-perceptual deficit in developmental prosopagnosia (DP) is face recollection memory, the all-or-none retrieval of face information, including semantic and contextual details. However, it remains unclear whether cognitive training can improve face recollection in DPs and what predicts training success. In the current study, we used a novel 8-week perceptual (holistic processing) + repetition-lag training program targeting face recollection in 23 DPs (Age: M=42.13, SD=14.88). Before, immediately after, and 6 weeks post-training, DPs completed assessments of face perception (e.g., computerized Benton, CFPT), face memory (e.g., CFMT), and face recollection/familiarity. DPs improved in overall face perception (Pre: M z=-1.44, SD=1.06, Post: M z=-1.00, SD=1.06; p<.001) and overall face memory (Pre: M z=-1.56, SD=.64, Post: M z=-1.21, SD=.78; p=.003). N​​otably, we observed differential improvement on an independent measure of recollection (Pre: M z=-0.75, SD=0.60, Post: M z=-0.53, SD=.62; p=.008) compared to familiarity (Pre: M z=-0.39, SD=0.53, Post:M z=-0.27, SD=.39; p=.12), with significant improvement only observed in recollection. DPs with better baseline face perception and eye discrimination ability were more accurate on the repetition-lag training, reaching higher levels of difficulty (Perceptual: r(21) = .54, p=.007; Eyes: r(21) = .46, p=.03). When dividing trainees into “better trainee” and “worse trainee” subgroups based on level-of-training reached, better trainees had significantly greater improvements across perception (Better: M z=.67, SD=.52, Worse: M z=.22, SD=.60; p=.04) and recollection (Better: M z=.50, SD=.36, Worse: M z=.04, SD=.47; p=.008) tasks. Together, this suggests that repetition-lag training can successfully improve face recollection and face perception/memory, particularly for DPs with less perceptual impairment who can reach the more challenging training stages.

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