Katherine A Gifford1, Dandan Liu2, Jacquelyn E Neal2, Michelle A Babicz1,3, Jennifer L Thompson1, Lily E Walljasper1, Margaret E Wiggins4, Maxim Turchan1, Kimberly R Pechman1, Katie E Osborn1, Lealani Mae Y Acosta1, Susan P Bell1,5, Timothy J Hohman1, David J Libon6, Kaj Blennow7,8, Henrik Zetterberg7,8,9,10, Angela L Jefferson1. 1. Vanderbilt Memory and Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA. 2. Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA. 3. Department of Psychology, University of Houston, Houston, Texas, USA. 4. Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida, USA. 5. Divisions of Cardiovascular and Geriatric Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA. 6. Department of Geriatrics and Gerontology and Psychology, New Jersey Institute for Successful Aging, School of Osteopathic Medicine, Rowan University, Stratford, New Jersey, USA. 7. Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden. 8. Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden. 9. Department of Molecular Neuroscience, UCL Institute of Neurology, London, United Kingdom. 10. UK Dementia Research Institute at UCL, London, United Kingdom.
Abstract
BACKGROUND/AIMS: This study evaluated neuroimaging and biological correlates, psychometric properties, and regression-based normative data of the 12-word Philadelphia Verbal Learning Test (PVLT), a list-learning test. METHODS: Vanderbilt Memory and Aging Project participants free of clinical dementia and stroke (n = 230, aged 73 ± 7 years) completed a neuropsychological protocol and brain MRI. A subset (n = 111) underwent lumbar puncture for analysis of Alzheimer's disease (AD) and axonal integrity cerebrospinal fluid (CSF) biomarkers. Regression models related PVLT indices to MRI and CSF biomarkers adjusting for age, sex, race/ethnicity, education, APOE-ε4 carrier status, cognitive status, and intracranial volume (MRI models). Secondary analyses were restricted to participants with normal cognition (NC; n = 127), from which regression-based normative data were generated. RESULTS: Lower PVLT performances were associated with smaller medial temporal lobe volumes (p < 0.05) and higher CSF tau concentrations (p < 0.04). Among NC, PVLT indices were associated with white matter hyperintensities on MRI and an axonal injury biomarker (CSF neurofilament light; p < 0.03). CONCLUSION: The PVLT appears sensitive to markers of neurodegeneration, including temporal regions affected by AD. Conversely, in cognitively normal older adults, PVLT performance seems to relate to white matter disease and axonal injury, perhaps reflecting non-AD pathways to cognitive change. Enhanced normative data enrich the clinical utility of this tool.
BACKGROUND/AIMS: This study evaluated neuroimaging and biological correlates, psychometric properties, and regression-based normative data of the 12-word Philadelphia Verbal Learning Test (PVLT), a list-learning test. METHODS: Vanderbilt Memory and Aging Project participants free of clinical dementia and stroke (n = 230, aged 73 ± 7 years) completed a neuropsychological protocol and brain MRI. A subset (n = 111) underwent lumbar puncture for analysis of Alzheimer's disease (AD) and axonal integrity cerebrospinal fluid (CSF) biomarkers. Regression models related PVLT indices to MRI and CSF biomarkers adjusting for age, sex, race/ethnicity, education, APOE-ε4 carrier status, cognitive status, and intracranial volume (MRI models). Secondary analyses were restricted to participants with normal cognition (NC; n = 127), from which regression-based normative data were generated. RESULTS: Lower PVLT performances were associated with smaller medial temporal lobe volumes (p < 0.05) and higher CSF tau concentrations (p < 0.04). Among NC, PVLT indices were associated with white matter hyperintensities on MRI and an axonal injury biomarker (CSF neurofilament light; p < 0.03). CONCLUSION: The PVLT appears sensitive to markers of neurodegeneration, including temporal regions affected by AD. Conversely, in cognitively normal older adults, PVLT performance seems to relate to white matter disease and axonal injury, perhaps reflecting non-AD pathways to cognitive change. Enhanced normative data enrich the clinical utility of this tool.
Authors: Paul M Thompson; Kiralee M Hayashi; Greig I De Zubicaray; Andrew L Janke; Stephen E Rose; James Semple; Michael S Hong; David H Herman; David Gravano; David M Doddrell; Arthur W Toga Journal: Neuroimage Date: 2004-08 Impact factor: 6.556
Authors: M Ingelsson; H Fukumoto; K L Newell; J H Growdon; E T Hedley-Whyte; M P Frosch; M S Albert; B T Hyman; M C Irizarry Journal: Neurology Date: 2004-03-23 Impact factor: 9.910
Authors: Victor Wasserman; Sheina Emrani; Emily F Matusz; David Miller; Kelly Davis Garrett; Katherine A Gifford; Timothy J Hohman; Angela L Jefferson; Rhoda Au; Rod Swenson; David J Libon Journal: Innov Aging Date: 2019-05-03