2021
DOI: 10.1016/j.ibmed.2021.100032
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A cortical thinning signature to identify World Trade Center responders with possible dementia

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Cited by 6 publications
(2 citation statements)
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“…The presence of any of these activities was thought to amplify exposure effects unless PPE was used; thus, we calculated a unit-weighted sum of these activities, to make an ordinal exposure variable with 5 distinct categories ranging from low (score, 1) to severe (score, 5) exposure. To validate and accentuate our expert-scaling scoring schema for high-exposure categories, we also used a validated artificial neural network protocol 18 , 19 to define a novel empirically derived high-exposure algorithm (eAppendix 1 in Supplement 1 ). Finally, consistent with a prior study, 14 we split the neural network moderate- and high-exposure categories based on working for at least 15 weeks on or adjacent to Ground Zero to create an ordinal exposure variable with 5 categories ranging from low (score, 1) to severe (score, 5) exposure.…”
Section: Methodsmentioning
confidence: 99%
“…The presence of any of these activities was thought to amplify exposure effects unless PPE was used; thus, we calculated a unit-weighted sum of these activities, to make an ordinal exposure variable with 5 distinct categories ranging from low (score, 1) to severe (score, 5) exposure. To validate and accentuate our expert-scaling scoring schema for high-exposure categories, we also used a validated artificial neural network protocol 18 , 19 to define a novel empirically derived high-exposure algorithm (eAppendix 1 in Supplement 1 ). Finally, consistent with a prior study, 14 we split the neural network moderate- and high-exposure categories based on working for at least 15 weeks on or adjacent to Ground Zero to create an ordinal exposure variable with 5 categories ranging from low (score, 1) to severe (score, 5) exposure.…”
Section: Methodsmentioning
confidence: 99%
“…Neurodegeneration in WTC responders does not fit a pattern consistent with known ADRD. 25,26 Noting that, we previously improved our cognitive profiling efforts by applying a deep learning approach to data from neuroimaging 27 and cognitive impairment diagnoses to estimate the risk of cortical atrophy for WTC responders. 28 This classification algorithm allows researchers to study and monitoring the potential progression of WTC-related neurodegenerative disease in this population using the results of cognitive testing when lacking intrusive and expensive methods such as structural neuroimaging and molecular diagnosis.…”
mentioning
confidence: 99%