Data from: Evidence for normal novel object recognition abilities in developmental prosopagnosia
Fry, Regan et al. (2020), Data from: Evidence for normal novel object recognition abilities in developmental prosopagnosia, Dryad, Dataset, https://doi.org/10.5061/dryad.59zw3r25d
The issue of the face specificity of recognition deficits in developmental prosopagnosia (DP) is fundamental to the organisation of high-level visual memory and has been increasingly debated in recent years. Previous DP investigations have found some evidence of object recognition impairments, but have almost exclusively used familiar objects (e.g., cars), where performance may depend on acquired object-specific experience and related visual expertise. An object recognition test not influenced by experience could provide a better, less contaminated measure of DPs’ object recognition abilities. To investigate this, in the current study we tested 30 DPs and 30 matched controls on a novel object memory test (NOMT Ziggerins) and the Cambridge Face Memory Test (CFMT). DPs were impaired on the CFMT but showed no differences in accuracy or reaction times to controls on the NOMT. We found similar results when comparing DPs to a larger sample of 274 web-based controls. Additional individual analyses demonstrated that the rates of object recognition impairment in DPs did not differ from the rate of impairment in either control group. Together, these results demonstrate unimpaired object recognition in DPs for a class of novel objects that serves as a powerful index for broader novel object recognition capacity.
This dataset was collected from participants online and in the Boston area. Developmental prosopagnosics and in-lab controls were recruited from a database of previous DP participants in the Boston area (Dr. Matthew Peterson, MIT; Dr. Brad Duchaine, Dartmouth College), and web controls were acquired from TestMyBrain.org with the help of Dr. Jeremy Wilmer (Richler, Wilmer, and Gauthier, 2017). All in-lab participants were tested on either a Lenovo laptop (34.5 x 19.5 cm display, 1920 x 1080 pixels, 60 Hz) or a Sony Vaio (34.29 x 19.05 cm, 1920 x 1080 pixels, 59 Hz). Data was analyzed using IBM SPSS Statistics for Mac, version 18.104.22.168.
Some participants declined to provide their age, gender, or education level. DP participants acquired from Drs. Matthew Peterson or Brad Duchaine may be missing reaction time data.
National Eye Institute, Award: #RO1EY026057