Faculty Bibliography

OBJECTIVE:We discuss the psychosocial implications of the COVID-19 pandemic as self-reported by housestaff and faculty in the NYU Langone Health Department of Neurology, and summarize how our program is responding to these ongoing challenges. METHODS:During the period of May 1-4, 2020, we administered an anonymous electronic survey to all neurology faculty and housestaff to assess the potential psychosocial impacts of COVID-19. The survey also addressed how our institution and department are responding to these challenges. This report outlines the psychosocial concerns of neurology faculty and housestaff and the multifaceted support services that our department and institution are offering in response. Faculty and housestaff cohorts were compared with regard to frequencies of binary responses (yes/ no) using the Fisher's exact test. RESULTS:Among 130 total survey respondents (91/191 faculty [48%] and 37/62 housestaff [60%]), substantial proportions of both groups self-reported having increased fear (79%), anxiety (83%) and depression (38%) during the COVID-19 pandemic. These proportions were not significantly different between the faculty and housestaff groups. Most respondents reported that the institution had provided adequate counseling and support services (91%) and that the department had rendered adequate emotional support (92%). Participants offered helpful suggestions regarding additional resources that would be helpful during the COVID-19 pandemic. CONCLUSION/CONCLUSIONS:COVID-19 has affected the lives and minds of faculty and housestaff in our neurology department at the epicenter of the pandemic. Efforts to support these providers during this evolving crisis are imperative for promoting the resilience necessary to care for our patients and colleagues.

OBJECTIVE:Tests of rapid automatized naming (RAN) have been used for decades to evaluate neurological conditions. RAN tests require extensive brain pathways involving visual perception, memory, eye movements and language. To the extent that different naming tasks capture varied visual pathways and related networks, we developed the Staggered Uneven Number (SUN) test of rapid number naming to complement existing RAN tests, such as the Mobile Universal Lexicon Evaluation System (MULES). The purpose of this investigation was to determine values for time scores for SUN, and to compare test characteristics between SUN and MULES. METHODS:We administered the SUN and MULES tests to healthy adult volunteers in a research office setting. MULES consists of 54 color photographs; the SUN includes 145 single- and multi-digit numbers. Participants are asked to name each number or picture aloud. RESULTS: = 0.43, P = .001). Learning effects between first and second trials were greater for the MULES; participants improved (reduced) their time scores between trials by 5% on SUN and 16% for MULES (P < .0001, Wilcoxon signed-rank test). CONCLUSION/CONCLUSIONS:The SUN is a new vision-based test that complements presently available picture- and number-based RAN tests. These assessments may require different brain pathways and networks for visual processing, visual memory, language and eye movements.