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The 2024 Richardson Lecture: Prosopagnosia – A Classic Neurologic Deficit Meets the Modern Era

Published online by Cambridge University Press:  11 October 2024

Jason J.S. Barton*
Affiliation:
Departments of Medicine (Neurology), Ophthalmology and Visual Sciences, Psychology, University of British Columbia, Vancouver, BC, Canada
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Abstract:

Acquired prosopagnosia is a rare disorder, but it serves as a model for impairments in expert-level visual processing. This review discusses five key observations made over the past 30 years. First, there are variants, an apperceptive type linked to damage to the inferior occipitotemporal cortex and an amnestic type associated with anterior temporal lesions, both either right or bilateral. Second, these variants are clustered in syndromes with other perceptual deficits, the apperceptive type with field defects, dyschromatopsia and topographagnosia, and the amnestic type with topographagnosia and the auditory disorders of phonagnosia and acquired amusia. Third, extensive testing often shows additional problems with recognizing exemplars of other objects, especially when degrees of expertise are taken into account. Fourth, the prosopagnosic impairment does not affect all facial information. For example, the perception of expression and lip-reading likely depends on other neural substrates than those for processing facial identity. Last, face perception in prosopagnosia is not immutable but can improve with extensive training, though as yet this does not represent a cure for the condition. Continuing work with neural networks and animal models will enhance our understanding of this intriguing condition and what it tells us about how our brains process vision.

Résumé :

RÉSUMÉ :

La conférence Richardson de 2024 : la prosopagnosie, un déficit neurologique classique à l’aune de la science d’aujourd’hui. La prosopagnosie acquise demeure un trouble rare, mais elle sert de modèle pour les troubles du traitement visuel. Cet article entend discuter de cinq observations clés faites au cours des trente dernières années. Premièrement, il existe des variantes à ce trouble, à savoir un type aperceptif lié à des lésions du cortex occipito-temporal inférieur et un type amnésique associé à des lésions temporales antérieures, toutes deux droites ou bilatérales. Deuxièmement, ces variantes sont regroupées dans des syndromes avec d’autres déficits perceptifs : le type aperceptif avec des défauts du champ visuel, la dyschromatopsie et l’agnosie topographique ; et le type amnésique, avec l’agnosie topographique de même que les difficultés auditives liées à la phonagnosie et l’amusie acquise. Troisièmement, des tests approfondis révèlent souvent des problèmes supplémentaires dans la reconnaissance d’exemplaires d’autres objets, en particulier lorsque les niveaux de capacité sont pris en compte. Quatrièmement, la déficience prosopagnosique n’affecte pas toutes les informations faciales. Par exemple, la perception de l’expression et la lecture labiale dépend probablement d’autres substrats neuronaux que ceux qui traitent l’identité faciale. Enfin, la perception des visages dans le cas de la prosopagnosie n’est pas immuable. Elle peut en effet s’améliorer grâce à un entraînement intensif même si cela ne constitue pas encore un remède à la maladie. La poursuite des travaux sur les réseaux neuronaux et les modèles animaux nous permettra de mieux comprendre cette pathologie intrigante ainsi que la façon dont notre cerveau traite la vision.

Information

Type
Review Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Canadian Neurological Sciences Federation
Figure 0

Figure 1. Annual number of publications about prosopagnosia (solid line), also expressed as proportion of the scientific literature (dotted line).

Figure 1

Figure 2. Performance on face tests by 23 patients with acquired prosopagnosia, classified by lesion location. (A) Inverse efficiency scores, normalized by the performance of the control group, for the perception of face configuration (interocular distance and nose–mouth distance combined). (B) Error rate on the famous face imagery test. Both graphs are arranged so that worse performance corresponds to higher scores. The dotted lines show 95% prediction limits from the control group, while the dashed line in B shows the 95% limit for chance performance of 0.5: scores above this are no better than random guessing. Data compiled from Barton, 200842 and Pancaroglu et al., 2016.118

Figure 2

Figure 3. Summary of functional and structural differences for apperceptive and associative variants of prosopagnosia, including associated visual field defects and other high-level sensory deficits.

Figure 3

Figure 4. (A) What car is this? How precise an answer you can give depends on your perceptual expertise. (Answer: Porsche 911, 964 Targa variant, 1994 model year) (B) Expertise-indexed test of car recognition. The proportion of a set of 150 pictures of cars that were correctly named by a subject is plotted as a function of their score on a verbal semantic test, which asked them to match the manufacturer to a named model (e.g., Pinto, answer: “Ford”). In control subjects, these abilities are highly correlated (small gray dots, r = 0.91). With one exception, the nine prosopagnosic patients tested (large black discs) recognized fewer cars than predicted from their verbal semantic score. Data compiled from Barton et al., 200975 and Davies-Thompson et al., 2014.119

Figure 4

Figure 5. Training the face perception of prosopagnosic patients. Subjects performed 11 weeks of daily work with a perceptual learning method. Graphs show the percent change from their test performance before training. After training (A), there is a nearly 40% improvement with the same types of images used in training (black bar in “old image”). The improvement does “generalize” to new views and new expressions of the same faces that had not been seen during training. Also, when tested on a set of faces from different people, there is “transfer” of benefit (gray bars, untrained face set). No benefit is seen after the control task (B), which provided exposure to faces but not feedback or a formal training structure. Data from Davies-Thompson et al., 2017.101