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Journal of Clinical and Experimental Neuropsychology Volume 45, 2023 - Issue 8: Process scores on measures of learning and memory: issue 2
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Process scores on measures of learning and memory: Issue 2

A comparison of diagnostic performance of word-list and story recall tests for biomarker-determined Alzheimer’s disease

Davide Brunoa School of Psychology, Liverpool John Moores University, UKCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-1943-9905View further author information
ORCID Icon,
Ainara Jauregi Zinkunegia School of Psychology, Liverpool John Moores University, UKView further author information
,
Gwendlyn Kollmorgenb Roche Diagnostics GmbH, Penzberg, GermanyView further author information
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Margherita Carbonic Roche Diagnostics International Ltd, Rotkreuz, SwitzerlandView further author information
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Norbert Wildb Roche Diagnostics GmbH, Penzberg, GermanyView further author information
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Cynthia Carlssond Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA;e Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA;f Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA;g Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital, Madison, WI, USAView further author information
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Barbara Bendline Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA;f Department of Medicine, University of Wisconsin-Madison, Madison, WI, USAView further author information
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Ozioma Okonkwoe Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA;f Department of Medicine, University of Wisconsin-Madison, Madison, WI, USAView further author information
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Nathaniel Chind Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA;e Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USAView further author information
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Bruce P. Hermannd Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA;h Department of Neurology, University of Wisconsin – Madison, Madison, WI, USAView further author information
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Sanjay Asthanad Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA;e Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USAView further author information
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Kaj Blennowi Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden;j Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, SwedenView further author information
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Rebecca Langhoughd Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA;e Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA;f Department of Medicine, University of Wisconsin-Madison, Madison, WI, USAView further author information
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Sterling C. Johnsond Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA;e Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA;f Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA;g Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital, Madison, WI, USAView further author information
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Nunzio Pomarak Geriatric Psychiatry Division, Nathan Kline Institute, Orangeburg, NY, USA;l School of Medicine, New York University, New York, USAView further author information
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Henrik Zetterberge Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA;i Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden;j Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden;m Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK;n UK Dementia Research Institute at UCL, London, UK;o Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, ChinaView further author information
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Kimberly D. Muellerd Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA;e Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA;p Department of Communication Sciences and Disorders, University of Wisconsin – Madison, Madison, WI, USAORCID Iconhttps://orcid.org/0000-0001-8691-9517View further author information
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Pages 763-769 | Received 30 Jan 2023, Accepted 18 Jul 2023, Published online: 12 Aug 2023

Figures & data

Table 1. Demographics, CSF and memory data by biomarker-determined diagnosis. LP = lumbar puncture. Imm = Immediate. Del = Delayed. Pr = primacy ratio. Rr = recency ratio. Tr = total ratio.

Figure 1. Conditional estimates plot (95% confidence intervals). LMT primacy ratio (Pr) to lumbar puncture for bdAD classification (0: without bdAD; 1: with bdAD). The Y-axis represents the probability of a bdAD classification based on the p-tau/Abeta42 cut off of 0.038. As the primacy ratio score increases, the likelihood of a bdAD classification decreases.

Figure 1. Conditional estimates plot (95% confidence intervals). LMT primacy ratio (Pr) to lumbar puncture for bdAD classification (0: without bdAD; 1: with bdAD). The Y-axis represents the probability of a bdAD classification based on the p-tau/Abeta42 cut off of 0.038. As the primacy ratio score increases, the likelihood of a bdAD classification decreases.
Supplemental material

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Data availability statement

Data will be released to internal and external investigators following confirmation of IRB approval together with an evaluation by WRAP and ADRC of scientific merit and resource availability. Data can be requested from the respective Executive Committees at: https://wrap.wisc.edu/data-requests-2/ and https://www.adrc.wisc.edu/apply-resources

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