1
|
Bruno D, Jauregi‐Zinkunegi A, Bock JR. Predicting CDR status over 36 months with a recall-based digital cognitive biomarker. Alzheimers Dement 2024; 20:7274-7280. [PMID: 39258756 PMCID: PMC11485075 DOI: 10.1002/alz.14213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 07/10/2024] [Accepted: 07/28/2024] [Indexed: 09/12/2024]
Abstract
INTRODUCTION Word-list recall tests are routinely used for cognitive assessment, and process scoring may improve their accuracy. We examined whether Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) derived, process-based digital cognitive biomarkers (DCBs) at baseline predicted Clinical Dementia Rating (CDR) longitudinally and compared them to standard metrics. METHODS Analyses were performed with Alzheimer's Disease Neuroimaging Initiative (ADNI) data from 330 participants (mean age = 71.4 ± 7.2). We conducted regression analyses predicting CDR at 36 months, controlling for demographics and genetic risk, with ADAS-Cog traditional scores and DCBs as predictors. RESULTS The best predictor of CDR at 36 months was M, a DCB reflecting recall ability (area under the curve = 0.84), outperforming traditional scores. Diagnostic results suggest that M may be particularly useful to identify individuals who are unlikely to decline. DISCUSSION These results suggest that M outperforms ADAS-Cog traditional metrics and supports process scoring for word-list recall tests. More research is needed to determine further applicability with other tests and populations. HIGHLIGHTS Process scoring and latent modeling were more effective than traditional scoring. Latent recall ability (M) was the best predictor of Clinical Dementia Rating decline at 36 months. The top digital cognitive biomarker model had odds ≈ 90 times greater than the top Alzheimer's Disease Assessment Scale-Cognitive subscale model. Particularly high negative predictive value supports literature on cognitive testing as a useful screen. Consideration of both cognitive and pathological outcomes is needed.
Collapse
Affiliation(s)
- Davide Bruno
- School of PsychologyLiverpool John Moores UniversityLiverpoolUK
| | | | | | | |
Collapse
|
2
|
Jauregi Zinkunegi A, Bruno D, Betthauser TJ, Koscik RL, Asthana S, Chin NA, Hermann BP, Johnson SC, Mueller KD. A comparison of story-recall metrics to predict hippocampal volume in older adults with and without cognitive impairment. Clin Neuropsychol 2024; 38:453-470. [PMID: 37349970 PMCID: PMC10739621 DOI: 10.1080/13854046.2023.2223389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 06/05/2023] [Indexed: 06/24/2023]
Abstract
Objective: Process-based scores of episodic memory tests, such as the recency ratio (Rr), have been found to compare favourably to, or to be better than, most conventional or "traditional" scores employed to estimate memory ability in older individuals (Bock et al., 2021; Bruno et al., 2019). We explored the relationship between process-based scores and hippocampal volume in older adults, while comparing process-based to traditional story recall-derived scores, to examine potential differences in their predictive abilities. Methods: We analysed data from 355 participants extracted from the WRAP and WADRC databases, who were classified as cognitively unimpaired, or exhibited mild cognitive impairment (MCI) or dementia. Story Recall was measured with the Logical Memory Test (LMT) from the Weschler Memory Scale Revised, collected within twelve months of the magnetic resonance imaging scan. Linear regression analyses were conducted with left or right hippocampal volume (HV) as outcomes separately, and with Rr, Total ratio, Immediate LMT, or Delayed LMT scores as predictors, along with covariates. Results: Higher Rr and Tr scores significantly predicted lower left and right HV, while Tr showed the best model fit of all, as indicated by AIC. Traditional scores, Immediate LMT and Delayed LMT, were significantly associated with left and right HV, but were outperformed by both process-based scores for left HV, and by Tr for right HV. Conclusions: Current findings show the direct relationship between hippocampal volume and all the LMT scores examined here, and that process-based scores outperform traditional scores as markers of hippocampal volume.
Collapse
Affiliation(s)
| | - Davide Bruno
- School of Psychology, Liverpool John Moores University, UK
| | - Tobey J. Betthauser
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
| | - Rebecca Langhough Koscik
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
| | - Sanjay Asthana
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital, Madison, WI, USA
| | - Nathaniel A. Chin
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
| | - Bruce P. Hermann
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Department of Neurology, University of Wisconsin – Madison, Madison, WI, USA
| | - Sterling C. Johnson
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital, Madison, WI, USA
| | - Kimberly D. Mueller
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI, USA
| |
Collapse
|
3
|
Jauregi-Zinkunegi A, Langhough R, Johnson SC, Mueller KD, Bruno D. Comparison of the 10-, 14- and 20-Item CES-D Scores as Predictors of Cognitive Decline. Brain Sci 2023; 13:1530. [PMID: 38002491 PMCID: PMC10669678 DOI: 10.3390/brainsci13111530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/18/2023] [Accepted: 10/27/2023] [Indexed: 11/26/2023] Open
Abstract
The association between depressive symptomatology and cognitive decline has been examined using the Centre for Epidemiologic Studies-Depression Scale (CES-D); however, concerns have been raised about this self-report measure. Here, we examined how the CES-D total score from the 14- and 10-item versions compared to the 20-item version in predicting progression to cognitive decline from a cognitively unimpaired baseline. Data from 1054 participants were analysed using ordinal logistic regression, alongside moderator and receiver-operating characteristics curve analyses. All baseline total scores significantly predicted progression to cognitive decline. The 14-item version was better than the 20-item version in predicting consensus diagnosis, as shown by their AICs, while also showing the highest accuracy when discriminating between participants by diagnosis at last visit. We did not find sex to moderate the relationship between CES-D score and cognitive decline. Current findings suggest the 10- and 14-item versions of the CES-D are comparable to the 20-item version, and that the 14-item version may be better at predicting longitudinal consensus diagnosis compared to the 20-item version.
Collapse
Affiliation(s)
| | - Rebecca Langhough
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA; (R.L.)
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA; (R.L.)
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
- Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital, Madison, WI 53225, USA
| | - Kimberly D. Mueller
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA; (R.L.)
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Davide Bruno
- School of Psychology, Liverpool John Moores University, Liverpool L3 3AF, UK;
| |
Collapse
|
4
|
Bruno D, Zinkunegi AJ, Kollmorgen G, Carboni M, Wild N, Carlsson C, Bendlin B, Okonkwo O, Chin N, Hermann BP, Asthana S, Blennow K, Langhough R, Johnson SC, Pomara N, Zetterberg H, Mueller KD. A comparison of diagnostic performance of word-list and story recall tests for biomarker-determined Alzheimer's disease. J Clin Exp Neuropsychol 2023; 45:763-769. [PMID: 37571873 PMCID: PMC10859550 DOI: 10.1080/13803395.2023.2240060] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 07/18/2023] [Indexed: 08/13/2023]
Abstract
BACKGROUND Wordlist and story recall tests are routinely employed in clinical practice for dementia diagnosis. In this study, our aim was to establish how well-standard clinical metrics compared to process scores derived from wordlist and story recall tests in predicting biomarker determined Alzheimer's disease, as defined by CSF ptau/Aβ42 ratio. METHODS Data from 295 participants (mean age = 65 ± 9.) were drawn from the University of Wisconsin - Madison Alzheimer's Disease Research Center (ADRC) and Wisconsin Registry for Alzheimer's Prevention (WRAP). Rey's Auditory Verbal Learning Test (AVLT; wordlist) and Logical Memory Test (LMT; story) data were used. Bayesian linear regression analyses were carried out with CSF ptau/Aβ42 ratio as outcome. Sensitivity analyses were carried out with logistic regressions to assess diagnosticity. RESULTS LMT generally outperformed AVLT. Notably, the best predictors were primacy ratio, a process score indexing loss of information learned early during test administration, and recency ratio, which tracks loss of recently learned information. Sensitivity analyses confirmed this conclusion. CONCLUSIONS Our study shows that story recall tests may be better than wordlist tests for detection of dementia, especially when employing process scores alongside conventional clinical scores.
Collapse
Affiliation(s)
- Davide Bruno
- School of Psychology, Liverpool John Moores University, UK
| | | | | | | | | | - Cynthia Carlsson
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital, Madison, WI, USA
| | - Barbara Bendlin
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Ozioma Okonkwo
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Nathaniel Chin
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
| | - Bruce P. Hermann
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Department of Neurology, University of Wisconsin – Madison, Madison, WI, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Rebecca Langhough
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital, Madison, WI, USA
| | - Nunzio Pomara
- Geriatric Psychiatry Division, Nathan Kline Institute, Orangeburg, NY, USA
- School of Medicine, New York University, New York, NY, USA
| | - Henrik Zetterberg
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Kimberly D. Mueller
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin – Madison, Madison, WI, USA
- Department of Communication Sciences and Disorders, University of Wisconsin – Madison, Madison, WI, USA
| |
Collapse
|
5
|
Gicas KM, Honer WG, Petyuk VA, Wilson RS, Boyle PA, Leurgans SE, Schneider JA, De Jager PL, Bennett DA. Primacy and recency effects in verbal memory are differentially associated with post-mortem frontal cortex p-tau 217 and 202 levels in a mixed sample of community-dwelling older adults. J Clin Exp Neuropsychol 2023; 45:770-785. [PMID: 37440260 PMCID: PMC10787031 DOI: 10.1080/13803395.2023.2232583] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 06/28/2023] [Indexed: 07/14/2023]
Abstract
INTRODUCTION Serial position effects in verbal memory are associated with in vivo fluid biomarkers and neuropathological outcomes in Alzheimer's disease (AD). To extend the biomarker literature, associations between serial position scores and postmortem levels of brain phosphorylated tau (p-tau) were examined, in the context of Braak stage of neurofibrillary tangle progression. METHOD Participants were 1091 community-dwelling adults (Mage = 80.2, 68.9% female) from the Rush University Religious Orders Study and Memory and Aging Project who were non-demented at enrollment and followed for a mean of 9.2 years until death. The CERAD Word List Memory test administered at baseline and within 1 year of death was used to calculate serial position (primacy, recency) and total recall scores. Proteomic analyses quantified p-tau 217 and 202 from dorsolateral prefrontal cortex samples. Linear regressions assessed associations between cognitive scores and p-tau with Braak stage as a moderator. RESULTS Cognitive status proximal to death indicated 34.7% were unimpaired, 26.2% met criteria for MCI, and 39.0% for dementia. Better baseline primacy recall, but not recency recall, was associated with lower p-tau 217 levels across Braak stages. Delayed recall showed a similar pattern as primacy. There was no main effect of immediate recall, but an interaction with Braak stages indicated a negative association with p-tau 217 level only in Braak V-VI. Within 1 year of death, there were no main effects for cognitive scores; however, recency, immediate and delayed recall scores interacted with Braak stage showing better recall was associated with lower p-tau 217 only in Braak V-VI. No associations were observed with p-tau 202. CONCLUSIONS Primacy recall measured in non-demented adults may be sensitive to emergent tau phosphorylation that occurs in the earliest stages of AD. Serial position scores may complement the routinely used delayed recall score and p-tau biomarkers to detect preclinical AD.
Collapse
Affiliation(s)
| | - William G Honer
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Robert S Wilson
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, United States
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States
| | - Patricia A Boyle
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States
| | - Sue E Leurgans
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, United States
| | - Julie A Schneider
- Department of Pathology, Rush University Medical Center, Chicago, IL, United States
| | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Columbia University Medical Center
| | - David A Bennett
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, United States
| |
Collapse
|
6
|
Weitzner DS, Calamia M. Serial position effects and mild cognitive impairment: a comparison of measures and scoring approaches. J Clin Exp Neuropsychol 2023; 45:813-824. [PMID: 37254866 DOI: 10.1080/13803395.2023.2214298] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 05/04/2023] [Indexed: 06/01/2023]
Abstract
INTRODUCTION Serial position effects (SPEs) have shown promise as predictors of future cognitive decline and conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD), even when accounting for total learning and memory scores. However, conflicting results have been found in the literature, which may be at least partially related to the many ways in which SPEs are calculated. The current study aimed to address the discrepancies in the literature by examining whether one method of analyzing SPEs is more sensitive at distinguishing those with and without psychometrically defined MCI. METHOD 86 older adult participants (57 healthy comparison, 29 MCI) completed the California Verbal Learning Test, Third Edition (CVLT3) and the Rey Auditory Verbal Learning Test (RAVLT), along with measures assessing multiple cognitive domains. Each participant completed two visits, between 3 and 9 days apart, with a different memory measure administered on each day. The standard scoring approach and the regional scoring approach to calculating SPEs were compared. RESULTS Results showed that, when significant differences were found, SPEs were always reduced in the MCI group compared to the healthy comparison group when using regional scoring; however, results were not as consistent when using standard scoring. Further, lower primacy than recency scores were only consistently seen in the MCI group when using the RAVLT but not the CVLT3. ROC analyses showed that only regional scoring of SPEs from delayed recall of the RAVLT and the CVLT3 accurately discriminated between those with and without MCI. CONCLUSION Regional scoring of SPEs may be more sensitive at identifying subtle cognitive decline compared to standard scoring. However, the specific measure that is used to analyze SPEs can impact the interpretation of findings.
Collapse
Affiliation(s)
| | - Matthew Calamia
- Psychology Department, Louisiana State University, Baton Rouge, LA, United States
| |
Collapse
|
7
|
Bruno D, Zinkunegi AJ, Pomara N, Zetterberg H, Blennow K, Koscik RL, Carlsson C, Bendlin B, Okonkwo O, Hermann BP, Johnson SC, Mueller KD. Cross-sectional associations of CSF tau levels with Rey's AVLT: A recency ratio study. Neuropsychology 2023; 37:628-635. [PMID: 35604714 PMCID: PMC9681933 DOI: 10.1037/neu0000821] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE The preeminent in vivo cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) are amyloid β 1-42 (Aβ42), phosphorylated Tau (p-tau), and total Tau (t-tau). The goal of this study was to examine how well traditional (total and delayed recall) and process-based (recency ratio [Rr]) measures derived from Rey's Auditory Verbal Learning test (AVLT) were associated with these biomarkers. METHOD Data from 235 participants (Mage = 65.5, SD = 6.9), who ranged from cognitively unimpaired to mild cognitive impairment, and for whom CSF values were available, were extracted from the Wisconsin Registry for Alzheimer's Prevention. Bayesian regression analyses were carried out using CSF scores as outcomes, AVLT scores as predictors, and controlling for demographic data and diagnosis. RESULTS We found moderate evidence that Rr was associated with both CSF p-tau (Bayesian factor [BFM] = 5.55) and t-tau (BFM = 7.28), above and beyond the control variables, while it did not correlate with CSF Aβ42 levels. In contrast, total and delayed recall scores were not linked with any of the AD biomarkers, in separate analyses. When comparing all memory predictors in a single regression, Rr remained the strongest predictor of CSF t-tau levels (BFM = 3.57). CONCLUSIONS Our findings suggest that Rr may be a better cognitive measure than commonly used AVLT scores to assess CSF levels of p-tau and t-tau in nondemented individuals. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Collapse
Affiliation(s)
- Davide Bruno
- School of Psychology, Liverpool John Moores University
| | | | - Nunzio Pomara
- Geriatric Psychiatry Division, Nathan Kline Institute, Orangeburg, New York, United States
- School of Medicine, New York University
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology
- UK Dementia Research Institute at UCL, London, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Rebecca Langhough Koscik
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin–Madison
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin–Madison
| | - Cynthia Carlsson
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin–Madison
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin–Madison
- Department of Medicine, University of Wisconsin–Madison
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital, Madison, Wisconsin, United States
| | - Barbara Bendlin
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin–Madison
- Department of Medicine, University of Wisconsin–Madison
| | - Ozioma Okonkwo
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin–Madison
- Department of Medicine, University of Wisconsin–Madison
| | - Bruce P. Hermann
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin–Madison
- Department of Neurology, University of Wisconsin–Madison
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin–Madison
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin–Madison
- Department of Medicine, University of Wisconsin–Madison
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital, Madison, Wisconsin, United States
| | - Kimberly D. Mueller
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin–Madison
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin–Madison
- Department of Communication Sciences and Disorders, University of Wisconsin–Madison
| |
Collapse
|
8
|
Egeland J, Raudeberg R. Patterns of proactive interference in CVLT-II: evidence of a low-organized, disorganized, and highly organized learning style. J Clin Exp Neuropsychol 2023; 45:693-704. [PMID: 37807914 DOI: 10.1080/13803395.2023.2265615] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 09/25/2023] [Indexed: 10/10/2023]
Abstract
OBJECTIVE Previous studies have interpreted proactive interference (PI) either as indicating executive dysfunction or a normal process indicating deep level encoding. We investigated these competing models of PI in a large clinical sample using cluster analyses. We expected to find clusters defined by high PI but otherwise characterized by either EF impairment or of good memory performance. METHOD File records of 731 patients with neurological or psychiatric disorders were analyzed. PI-scores, false positive recognition errors, and semantic organization scores on the California Verbal Learning Test-II (CVLT-II) were subjected to cluster analyses. Clusters were compared regarding buildup and release from PI, memory performance and strategy measures, measures of intelligence, EF, and processing speed. RESULTS The analyses revealed six analyzable clusters. Two clusters showed no buildup of PI and normal release from PI. Discriminability was impaired both in List A and B. Learning acquisition and speeded measures of EF were reduced. One cluster showed both buildup of PI and problems with releasing from PI, and particularly impaired discriminability of List B. Semantic organization was low. Learning consolidation and EF speeded measures were impaired. Two other clusters showed buildup of PI, but no problem with release. Learning was highly organized, and they showed good memory and normal neuropsychological performance. CONCLUSIONS Results shows differentiation between a low organized EF dysfunction pattern with no PI, a disorganized PI pattern also indicating EF dysfunction and a highly organized pattern where PI seems to be the price to pay for high effort put into the learning process.
Collapse
Affiliation(s)
- Jens Egeland
- Division of Mental Health and Addiction, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Rune Raudeberg
- Faculty of Psychology, University of Bergen, Bergen, Norway
| |
Collapse
|
9
|
Gicas KM, Honer WG, Leurgans SE, Wilson RS, Boyle PA, Schneider JA, Bennett DA. Longitudinal change in serial position scores in older adults with entorhinal and hippocampal neuropathologies. J Int Neuropsychol Soc 2023; 29:561-571. [PMID: 36062540 PMCID: PMC10152983 DOI: 10.1017/s1355617722000595] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Serial position scores on verbal memory tests are sensitive to early Alzheimer's disease (AD)-related neuropathological changes that occur in the entorhinal cortex and hippocampus. The current study examines longitudinal change in serial position scores as markers of subtle cognitive decline in older adults who may be in preclinical or at-risk states for AD. METHODS This study uses longitudinal data from the Religious Orders Study and the Rush Memory and Aging Project. Participants (n = 141) were included if they did not have dementia at enrollment, completed follow-up assessments, and died and were classified as Braak stage I or II. Memory tests were used to calculate serial position (primacy, recency), total recall, and episodic memory composite scores. A neuropathological evaluation quantified AD, vascular, and Lewy body pathologies. Mixed effects models were used to examine change in memory scores. Neuropathologies and covariates (age, sex, education, APOE e4) were examined as moderators. RESULTS Primacy scores declined (β = -.032, p < .001), whereas recency scores increased (β = .021, p = .012). No change was observed in standard memory measures. Greater neurofibrillary tangle density and atherosclerosis explained 10.4% of the variance in primacy decline. Neuropathologies were not associated with recency change. CONCLUSIONS In older adults with hippocampal neuropathologies, primacy score decline may be a sensitive marker of early AD-related changes. Tangle density and atherosclerosis had additive effects on decline. Recency improvement may reflect a compensatory mechanism. Monitoring for changes in serial position scores may be a useful in vivo method of tracking incipient AD.
Collapse
Affiliation(s)
| | - William G Honer
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Sue E Leurgans
- Department of Neurological Sciences, Rush University Medical Center, Chicago, USA
| | - Robert S Wilson
- Department of Neurological Sciences, Rush University Medical Center, Chicago, USA
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, USA
| | - Patricia A Boyle
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, USA
| | - Julie A Schneider
- Department of Pathology, Rush University Medical Center, Chicago, USA
| | - David A Bennett
- Department of Neurological Sciences, Rush University Medical Center, Chicago, USA
| |
Collapse
|
10
|
Abstract
INTRODUCTION There are gender disparities in age of diagnosis with Mild Cognitive Impairment (MCI) or dementia, which may be related to general female advantages in verbal memory across aging. Further examination of the serial position effect (SPE) may provide an avenue for earlier diagnosis of MCI/dementia among women. METHOD 338 cognitively healthy adults aged 50+ (110 men; 228 women) were administered the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) List Learning task as part of dementia screening. We examined whether the SPE could be demonstrated on Trial 1 and delayed recall, and whether SPE patterns were consistent across genders, using mixed measure ANOVAs. Using regression, we also examined whether gender, SPE components, or their interactions predicted RBANS Delayed Memory Index (DMI) performance. Using cluster analyses, we identified a group with reduced primacy relative to recency on Trial 1 and a group without. We used ANOVA to examine whether clusters differed in DMI scores and whether this was moderated by gender. RESULTS We demonstrated the prototypical SPE on Trial 1. On delayed recall, we found reduced recency compared to primacy and middle performance. As expected, men exhibited worse performance on the DMI. However, gender did not interact with SPE. Primacy and middle, but not recency, performance on Trial 1 predicted DMI scores, as did the recency ratio. These relationships were not moderated by gender. Finally, participants with better primacy than recency on Trial 1 (N = 187) exhibited higher performance on DMI than participants with better recency than primacy (N = 151). Gender did not interact with cluster membership. CONCLUSION Our results have important clinical implications in assessment, where focusing on Trial 1 primacy performance and loss of recency between Trial 1 and delayed recall may help to address gender-related delays in age of diagnosis of MCI or dementia.
Collapse
Affiliation(s)
- Cardinal Do
- Department of Psychology, Ohio University, Athens, OH, United States
| | - Julie A Suhr
- Department of Psychology, Ohio University, Athens, OH, United States
| |
Collapse
|
11
|
Bruno D, Jauregi Zinkunegi A, Kollmorgen G, Suridjan I, Wild N, Carlsson C, Bendlin B, Okonkwo O, Chin N, Hermann BP, Asthana S, Zetterberg H, Blennow K, Langhough R, Johnson SC, Mueller KD. The recency ratio assessed by story recall is associated with cerebrospinal fluid levels of neurodegeneration biomarkers. Cortex 2023; 159:167-174. [PMID: 36630749 PMCID: PMC9931664 DOI: 10.1016/j.cortex.2022.12.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 11/11/2022] [Accepted: 12/08/2022] [Indexed: 12/24/2022]
Abstract
Recency refers to the information learned at the end of a study list or task. Recency forgetting, as tracked by the ratio between recency recall in immediate and delayed conditions, i.e., the recency ratio (Rr), has been applied to list-learning tasks, demonstrating its efficacy in predicting cognitive decline, conversion to mild cognitive impairment (MCI), and cerebrospinal fluid (CSF) biomarkers of neurodegeneration. However, little is known as to whether Rr can be effectively applied to story recall tasks. To address this question, data were extracted from the database of the Alzheimer's Disease Research Center at the University of Wisconsin - Madison. A total of 212 participants were included in the study. CSF biomarkers were amyloid-beta (Aβ) 40 and 42, phosphorylated (p) and total (t) tau, neurofilament light (NFL), neurogranin (Ng), and α-synuclein (a-syn). Story Recall was measured with the Logical Memory Test (LMT). We carried out Bayesian regression analyses with Rr, and other LMT scores as predictors; and CSF biomarkers (including the Aβ42/40 and p-tau/Aβ42 ratios) as outcomes. Results showed that models including Rr consistently provided best fits with the data, with few exceptions. These findings demonstrate the applicability of Rr to story recall and its sensitivity to CSF biomarkers of neurodegeneration, and encourage its inclusion when evaluating risk of neurodegeneration with story recall.
Collapse
Affiliation(s)
- Davide Bruno
- School of Psychology, Liverpool John Moores University, UK.
| | | | | | | | | | - Cynthia Carlsson
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA; Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital, Madison, WI, USA
| | - Barbara Bendlin
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Ozioma Okonkwo
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Nathaniel Chin
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA
| | - Bruce P Hermann
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA; Department of Neurology, University of Wisconsin - Madison, Madison, WI, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK; UK Dementia Research Institute at UCL, London, UK; Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Rebecca Langhough
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Sterling C Johnson
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA; Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital, Madison, WI, USA
| | - Kimberly D Mueller
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA; Department of Communication Sciences and Disorders, University of Wisconsin - Madison, Madison, WI, USA
| |
Collapse
|
12
|
Mueller KD, Du L, Bruno D, Betthauser T, Christian B, Johnson S, Hermann B, Koscik RL. Item-Level Story Recall Predictors of Amyloid-Beta in Late Middle-Aged Adults at Increased Risk for Alzheimer's Disease. Front Psychol 2022; 13:908651. [PMID: 35832924 PMCID: PMC9271832 DOI: 10.3389/fpsyg.2022.908651] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 05/31/2022] [Indexed: 11/13/2022] Open
Abstract
Background Story recall (SR) tests have shown variable sensitivity to rate of cognitive decline in individuals with Alzheimer's disease (AD) biomarkers. Although SR tasks are typically scored by obtaining a sum of items recalled, item-level analyses may provide additional sensitivity to change and AD processes. Here, we examined the difficulty and discrimination indices of each item from the Logical Memory (LM) SR task, and determined if these metrics differed by recall conditions, story version (A vs. B), lexical categories, serial position, and amyloid status. Methods n = 1,141 participants from the Wisconsin Registry for Alzheimer's Prevention longitudinal study who had item-level data were included in these analyses, as well as a subset of n = 338 who also had amyloid positron emission tomography (PET) imaging. LM data were categorized into four lexical categories (proper names, verbs, numbers, and "other"), and by serial position (primacy, middle, and recency). We calculated difficulty and discriminability/memorability by item, category, and serial position and ran separate repeated measures ANOVAs for each recall condition, lexical category, and serial position. For the subset with amyloid imaging, we used a two-sample t-test to examine whether amyloid positive (Aβ+) and amyloid negative (Aβ-) groups differed in difficulty or discrimination for the same summary metrics. Results In the larger sample, items were more difficult (less memorable) in the delayed recall condition across both story A and story B. Item discrimination was higher at delayed than immediate recall, and proper names had better discrimination than any of the other lexical categories or serial position groups. In the subsample with amyloid PET imaging, proper names were more difficult for Aβ+ than Aβ-; items in the verb and "other" lexical categories and all serial positions from delayed recall were more discriminate for the Aβ+ group compared to the Aβ- group. Conclusion This study provides empirical evidence that both LM stories are effective at discriminating ability levels and amyloid status, and that individual items vary in difficulty and discrimination by amyloid status, while total scores do not. These results can be informative for the future development of sensitive tasks or composite scores for early detection of cognitive decline.
Collapse
Affiliation(s)
- Kimberly D. Mueller
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI, United States
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| | - Lianlian Du
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| | - Davide Bruno
- School of Psychology, Liverpool John Moores University, Liverpool, United Kingdom
| | - Tobey Betthauser
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| | - Bradley Christian
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
- Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI, United States
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States
| | - Sterling Johnson
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital, Madison, WI, United States
| | - Bruce Hermann
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
- Department of Neurology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| | - Rebecca Langhough Koscik
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| |
Collapse
|
13
|
Bruno D, Jauregi Zinkunegi A, Pomara N, Zetterberg H, Blennow K, Koscik RL, Carlsson C, Bendlin B, Okonkwo O, Hermann BP, Johnson SC, Mueller KD. Cross-sectional associations of CSF tau levels with Rey's AVLT: A recency ratio study. Neuropsychology 2022. [PMID: 35604714 DOI: 10.1037/neu0000821.advanceonlinepublication] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/10/2023] Open
Abstract
OBJECTIVE The preeminent in vivo cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) are amyloid β 1-42 (Aβ42), phosphorylated Tau (p-tau), and total Tau (t-tau). The goal of this study was to examine how well traditional (total and delayed recall) and process-based (recency ratio [Rr]) measures derived from Rey's Auditory Verbal Learning test (AVLT) were associated with these biomarkers. METHOD Data from 235 participants (Mage = 65.5, SD = 6.9), who ranged from cognitively unimpaired to mild cognitive impairment, and for whom CSF values were available, were extracted from the Wisconsin Registry for Alzheimer's Prevention. Bayesian regression analyses were carried out using CSF scores as outcomes, AVLT scores as predictors, and controlling for demographic data and diagnosis. RESULTS We found moderate evidence that Rr was associated with both CSF p-tau (Bayesian factor [BFM] = 5.55) and t-tau (BFM = 7.28), above and beyond the control variables, while it did not correlate with CSF Aβ42 levels. In contrast, total and delayed recall scores were not linked with any of the AD biomarkers, in separate analyses. When comparing all memory predictors in a single regression, Rr remained the strongest predictor of CSF t-tau levels (BFM = 3.57). CONCLUSIONS Our findings suggest that Rr may be a better cognitive measure than commonly used AVLT scores to assess CSF levels of p-tau and t-tau in nondemented individuals. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Collapse
|
14
|
Kovács KA. Relevance of a Novel Circuit-Level Model of Episodic Memories to Alzheimer's Disease. Int J Mol Sci 2021; 23:ijms23010462. [PMID: 35008886 PMCID: PMC8745479 DOI: 10.3390/ijms23010462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 12/28/2021] [Accepted: 12/29/2021] [Indexed: 11/16/2022] Open
Abstract
The medial temporal lobe memory system has long been identified as the brain region showing the first histopathological changes in early Alzheimer's disease (AD), and the functional decline observed in patients also points to a loss of function in this brain area. Nonetheless, the exact identity of the neurons and networks that undergo deterioration has not been determined so far. A recent study has identified the entorhinal and hippocampal neural circuits responsible for encoding new episodic memories. Using this novel model we describe the elements of the episodic memory network that are especially vulnerable in early AD. We provide a hypothesis of how reduced reelin signaling within such a network can promote AD-related changes. Establishing novel associations and creating a temporal structure for new episodic memories are both affected in AD. Here, we furnish a reasonable explanation for both of these previous observations.
Collapse
Affiliation(s)
- Krisztián A Kovács
- Retina Research Laboratory, Institute of Translational Medicine, Semmelweis University, Tűzoltó U. 37-47, 1094 Budapest, Hungary
| |
Collapse
|
15
|
Bock JR, Russell J, Hara J, Fortier D. Optimizing Cognitive Assessment Outcome Measures for Alzheimer's Disease by Matching Wordlist Memory Test Features to Scoring Methodology. Front Digit Health 2021; 3:750549. [PMID: 34806078 PMCID: PMC8595108 DOI: 10.3389/fdgth.2021.750549] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 10/11/2021] [Indexed: 11/24/2022] Open
Abstract
Cognitive assessment with wordlist memory tests is a cost-effective and non-invasive method of identifying cognitive changes due to Alzheimer's disease and measuring clinical outcomes. However, with a rising need for more precise and granular measures of cognitive changes, especially in earlier or preclinical stages of Alzheimer's disease, traditional scoring methods have failed to provide adequate accuracy and information. Well-validated and widely adopted wordlist memory tests vary in many ways, including list length, number of learning trials, order of word presentation across trials, and inclusion of semantic categories, and these differences meaningfully impact cognition. While many simple scoring methods fail to account for the information that these features provide, extensive effort has been made to develop scoring methodologies, including the use of latent models that enable capture of this information for preclinical differentiation and prediction of cognitive changes. In this perspective article, we discuss prominent wordlist memory tests in use, their features, how different scoring methods fail or successfully capture the information these features provide, and recommendations for emerging cognitive models that optimally account for wordlist memory test features. Matching the use of such scoring methods to wordlist memory tests with appropriate features is key to obtaining precise measurement of subtle cognitive changes.
Collapse
Affiliation(s)
- Jason R Bock
- Embic Corporation, Newport Beach, CA, United States
| | | | - Junko Hara
- Embic Corporation, Newport Beach, CA, United States
| | | |
Collapse
|
16
|
Bruno D, Mueller KD, Betthauser T, Chin N, Engelman CD, Christian B, Koscik RL, Johnson SC. Serial position effects in the Logical Memory Test: Loss of primacy predicts amyloid positivity. J Neuropsychol 2021; 15:448-461. [PMID: 33274833 PMCID: PMC8175453 DOI: 10.1111/jnp.12235] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 11/11/2020] [Indexed: 11/27/2022]
Abstract
BACKGROUND Story recall is a frequently used neuropsychological test of episodic memory with clinical populations and for screening participants in drug trials for Alzheimer's disease. However, it is unclear at this stage which underlying mechanisms confer the test its sensitivity. In this paper, we examined serial position effects, that is, better recall for items learned early and late on a list, in story recall, and their usefulness to predict early changes associated with neurodegenerative markers. METHODS We analysed data from the Wisconsin Registry for Alzheimer's Prevention. First, we tested whether serial position effects were present in story recall (measured with the Wechsler Memory Scale Logical Memory Task; LMT) across individuals who were classified as cognitively unimpaired - stable, cognitively unimpaired - declining, or as having mild cognitive impairment (MCI). RESULTS Our results showed clear serial position effects for all groups, except for delayed recall among individuals with MCI, where no primacy effect was observed. Second, we tested whether loss of primacy from immediate to delayed recall was associated with amyloid burden (as measured with PiB PET) in individuals who were cognitively unimpaired at baseline. We found that more primacy loss predicted amyloid positivity, above and beyond the LMT total score. CONCLUSIONS This report is the first to show that loss of primacy between immediate and delayed story recall is associated with amyloid burden.
Collapse
Affiliation(s)
- Davide Bruno
- School Psychology, Liverpool John Moores University, Liverpool, UK
| | - Kimberly D. Mueller
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin- Madison, Madison, WI, USA
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, USA, Madison, WI, USA
| | - Tobey Betthauser
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, USA, Madison, WI, USA
- Department of Medicine, University of Wisconsin- Madison, Madison, WI, USA
| | - Nathaniel Chin
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, USA, Madison, WI, USA
- Department of Medicine, University of Wisconsin- Madison, Madison, WI, USA
| | - Corinne D. Engelman
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin- Madison, Madison, WI, USA
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, USA, Madison, WI, USA
- Department of Population Health Sciences, University of Wisconsin- Madison, Madison, WI, USA
| | - Bradley Christian
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, USA, Madison, WI, USA
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
- Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI, USA
| | - Rebecca L. Koscik
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin- Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin- Madison, Madison, WI, USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin- Madison, Madison, WI, USA
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, USA, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, USA, Madison WI, USA
| |
Collapse
|
17
|
Turchetta CS, De Simone MS, Perri R, Fadda L, Caruso G, De Tollis M, Caltagirone C, Carlesimo GA. Forgetting Rates on the Recency Portion of a Word List Predict Conversion from Mild Cognitive Impairment to Alzheimer's Disease. J Alzheimers Dis 2021; 73:1295-1304. [PMID: 31903988 DOI: 10.3233/jad-190509] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Amnestic mild cognitive impairment has a greater risk of progressing to Alzheimer's disease (AD). Consistent with AD patients' distinctive deficit in consolidating new memory traces, in a recent study we demonstrated that the forgetting rate on the recency portion of a word list differentiates AD from other forms of dementia. In line with this finding, the aim of this study was to investigate whether increased recency forgetting could be a reliable index for predicting amnestic mild cognitive impairment (MCI) patients' conversion to AD. For this purpose, we compared accuracy in immediate and delayed recall from different portions of a word list in a group of patients with amnestic MCI who converted (C-MCI) or did not convert (S-MCI) to AD during a three-year follow-up period and in a group of normal controls. The results of the present study show that the forgetting from the recency portion of the list (operationalized as a ratio between immediate and delayed recall) was significantly larger in C-MCI than in S-MCI patients. Consistently, the hierarchical logistic regression analyses demonstrated that the recency ratio is a strong predictor of group membership. Similar to what occurs in full-blown AD patients, the results of our study suggest that the increased forgetting rate from the recency portion of the list in C-MCI patients is due to severely reduced efficiency in converting transitory short-term memory representations into stable long-term memory traces. This is consistent with prominent involvement of neuropathological changes in the cortical areas of the medial-temporal lobes and suggests that the recency ratio is a cognitive marker able to identify MCI patients who have a greater likelihood of progressing to AD.
Collapse
Affiliation(s)
- Chiara Stella Turchetta
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy.,University "Tor Vergata", Department of Systems Medicine, Rome, Italy
| | | | - Roberta Perri
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Lucia Fadda
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy.,University "Tor Vergata", Department of Systems Medicine, Rome, Italy
| | - Giulia Caruso
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy.,University "Tor Vergata", Department of Systems Medicine, Rome, Italy
| | - Massimo De Tollis
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy.,University "Tor Vergata", Department of Systems Medicine, Rome, Italy
| | - Carlo Caltagirone
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy.,University "Tor Vergata", Department of Systems Medicine, Rome, Italy
| | - Giovanni Augusto Carlesimo
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy.,University "Tor Vergata", Department of Systems Medicine, Rome, Italy
| |
Collapse
|
18
|
Talamonti D, Koscik R, Johnson S, Bruno D. Temporal contiguity and ageing: The role of memory organization in cognitive decline. J Neuropsychol 2021; 15 Suppl 1:53-65. [PMID: 32652802 PMCID: PMC7958486 DOI: 10.1111/jnp.12219] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 06/02/2020] [Indexed: 01/10/2023]
Abstract
The temporal contiguity effect is the tendency to form associations between items presented in nearby study positions. In the present study, we explored whether temporal contiguity predicted conversion to cognitively unimpaired-declining (CUD) status from a baseline of unimpaired older adults. Data from 419 participants were drawn from the Wisconsin Registry of Alzheimer's Prevention (WRAP) data set and analysed with binary logistic regressions. Temporal contiguity was calculated using the Rey Auditory Verbal Learning Test. Other predictors included age, years of education, sex, APOE-ε4 status, and other measures of memory recall. Lower temporal contiguity predicted conversion to CUD after accounting for covariates. These findings support the hypothesis that temporal organization in memory is related to cognitive decline and suggest that temporal contiguity may be used for studies of early detection.
Collapse
Affiliation(s)
- Deborah Talamonti
- EPIC center, Montreal Heart Institute, Université de Montréal, Montreal, QC, CA
| | - Rebecca Koscik
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Sterling Johnson
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Davide Bruno
- Faculty of Psychology, Liverpool John Moores University, Liverpool, UK
| |
Collapse
|
19
|
Egeland J. Following H.N. over 21 years: recency change and reduced retention predict later impairment in memory, and recency ratio may combine both effects. Neurocase 2021; 27:147-154. [PMID: 33729091 DOI: 10.1080/13554794.2021.1893339] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
The study follows an intellectually superior patient from initial subjective memory complaints to MCI and dementia over 21 years. Primary memory measures, process- and reliable change-measures from 12 assessments with the California Verbal Learning Test (CVLT) were analyzed as well as experimental measures of retrieval and Recency-Ratio (Rr) combining traditional recency measures with selective retrieval impairments of recency items.Recency change preceded normatively impaired memory by four years, and retention percentage by two years. Rr indicated risk for MCI conversion 13 years prior to receiving that diagnosis, and is an interesting measure for early detection of dementia in CVLT.
Collapse
Affiliation(s)
- Jens Egeland
- Division of Mental Health & Addiction, Vestfold Hospital Trust, Tønsberg, Norway.,Department of Psychology, University of Oslo, Oslo, Norway
| |
Collapse
|
20
|
Shapira-Lichter I, Oren N, Asvadurian A, Ben-Hayun R, Fisher T, Aharon-Peretz J, Glik A. The First Word Recalled Measure - A Potential Addition to Clinical Exams. Front Neurol 2021; 12:561824. [PMID: 33597914 PMCID: PMC7882623 DOI: 10.3389/fneur.2021.561824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 01/04/2021] [Indexed: 11/13/2022] Open
Abstract
Characterizing episodic memory abilities is highly important in the diagnosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI), and usually includes wordlist learning and recall tasks. Clinical evaluations typically focus on the number of words recalled, ignoring additional information, like serial position. Here, we tested the potential value of two serial positioning measures for clinical diagnosis – how retrieval is initiated, as measured by the first word recalled, and how it proceeds – using data from patients with AD and MCI that completed a wordlist learning and recall task. Our results show that during the early stages of learning, patients with AD are less prone to retrieve the first word from the wordlist, manifested as lower primacy effect in the first word recalled, compared with MCI patients. The first word recalled measure adds to the differentiation between the groups over and above the total number of words learned. Thus, the first word recalled during word list learning and recall tasks may be used as a simple complementary measure to distinguish between MCI and AD during standard neuropsychological evaluations.
Collapse
Affiliation(s)
- Irit Shapira-Lichter
- Functional MRI Center, Beilinson Hospital, Petach Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Noga Oren
- Functional MRI Center, Beilinson Hospital, Petach Tikva, Israel
| | - Anita Asvadurian
- Cognitive Neurology Clinic and Department of Neurology, Beilinson Hospital, Petach Tikva, Israel
| | - Rachel Ben-Hayun
- Cognitive Neurology Institute, Rambam Health Care Campus, Haifa, Israel
| | - Tali Fisher
- Cognitive Neurology Institute, Rambam Health Care Campus, Haifa, Israel
| | | | - Amir Glik
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Cognitive Neurology Clinic and Department of Neurology, Beilinson Hospital, Petach Tikva, Israel
| |
Collapse
|
21
|
Talamonti D, Koscik R, Johnson S, Bruno D. Predicting Early Mild Cognitive Impairment With Free Recall: The Primacy of Primacy. Arch Clin Neuropsychol 2020; 35:133-142. [PMID: 30994919 DOI: 10.1093/arclin/acz013] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 02/20/2019] [Accepted: 03/20/2019] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES Serial position effects have been found to discriminate between normal and pathological aging, and to predict conversion from Mild Cognitive Impairment (MCI) to Alzheimer's disease (AD). Different scoring methods have been used to estimate the accuracy of these predictions. In the current study, we investigated delayed primacy as predictor of progression to early MCI over established diagnostic memory methods. We also compared three serial position methods (regional, standard and delayed scores) to determine which measure is the most sensitive in differentiating between individuals who develop early MCI from a baseline of cognitively intact older adults. METHOD Data were analyzed with binary logistic regression and with receiver-operating characteristic (ROC). Baseline serial position scores were collected using the Rey's Auditory Verbal Learning Test and used to predict conversion to early MCI. The diagnosis of early MCI was obtained through statistical algorithm and consequent consensus conference. One hundred and ninety-one participants were included in the analyses. All participants were aged 60 or above and cognitively intact at baseline. RESULTS The binary logistic regression showed that delayed primacy was the only predictor of conversion to early MCI, when compared to total and delayed recall. ROC curves showed that delayed primacy was still the most sensitive predictor of progression to early MCI when compared to other serial position measures. CONCLUSIONS These findings are consistent with previous studies and support the hypothesis that delayed primacy may be a useful cognitive marker of early detection of neurodegeneration.
Collapse
Affiliation(s)
- Deborah Talamonti
- School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool, UK
| | - Rebecca Koscik
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Sterling Johnson
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.,Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Davide Bruno
- School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool, UK
| |
Collapse
|
22
|
Bruno D, Reichert Plaska C, Clark DPA, Zetterberg H, Blennow K, Verbeek MM, Pomara N. CSF α-synuclein correlates with CSF neurogranin in late-life depression. Int J Neurosci 2020; 131:357-361. [PMID: 32228205 DOI: 10.1080/00207454.2020.1744596] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Purpose/aim of the study: Major depressive disorder (MDD) in late life is linked to increased risk of subsequent dementia, but it is still unclear exactly what pathophysiological mechanisms underpin this link. A potential mechanism related to elevated risk of dementia in MDD is increased levels of α-synuclein (α-Syn), a protein found in presynaptic neuronal terminals.Materials and methods: In this study, we examined cerebrospinal fluid (CSF) levels of α-Syn in conjunction with biomarkers of neurodegeneration (amyloid-β 42, total and phospho tau) and synaptic dysfunction (neurogranin), and measures of memory ability, in 27 cognitively intact older individuals with MDD and 19 controls.Results: Our results show that CSF α-Syn levels did not significantly differ across depressed and control participants, but α-Syn was directly associated with neurogranin levels, and indirectly linked to poorer memory ability.Conclusions: All in all, we found that α-Syn may be implicated in the association between late life MDD and synaptic dysfunction, although further research is needed to confirm these results.
Collapse
Affiliation(s)
- Davide Bruno
- School of Psychology, Liverpool John Moores University, Liverpool, UK
| | - Chelsea Reichert Plaska
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA.,Department of Psychology, the Graduate Center, City University of New York, New York City, NY, USA
| | - Daniel P A Clark
- Department of Psychology, Liverpool Hope University, Liverpool, UK
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Marcel M Verbeek
- Cognition and Behaviour, Departments of Neurology and Laboratory Medicine, Alzheimer Centre, Radboud University Medical Center, Donders Institute for Brain, Nijmegen, The Netherlands
| | - Nunzio Pomara
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA.,Department of Psychiatry, School of Medicine, New York University, New York City, NY, USA
| |
Collapse
|
23
|
Bruno D, Gleason CE, Koscik RL, Pomara N, Zetterberg H, Blennow K, Johnson SC. The recency ratio is related to CSF amyloid beta 1-42 levels in MCI-AD. Int J Geriatr Psychiatry 2019; 34:415-419. [PMID: 30430632 PMCID: PMC6710624 DOI: 10.1002/gps.5029] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 11/06/2018] [Indexed: 11/08/2022]
Abstract
OBJECTIVE As anti-amyloid therapeutic interventions shift from enrolling patients with Alzheimer's disease (AD) dementia to individuals with pre-clinical disease, the need for sensitive measures that allow for non-invasive, fast, disseminable, and cost-effective identification of preclinical status increases in importance. The recency ratio (Rr) is a memory measure that relies on analysis of serial position performance, which has been found to predict cognitive decline and conversion to early mild cognitive impairment (MCI). The aim of this study was to test Rr's sensitivity to cerebrospinal fluid (CSF) levels of the core AD biomarkers in individuals with MCI-AD and controls. METHODS Baseline data from 126 (110 controls and 16 MCI-AD) participants from the Wisconsin Alzheimer's Disease Research Center were analysed. Partial correlations adjusting for demographics were carried out between CSF measure of amyloid beta (Aβ40, Aβ42, and the 40/42 ratio) and tau (total and phosphorylated), and memory measures (Rr, delayed recall, and total recall) derived from the Rey's Auditory Verbal Learning Test. RESULTS Results indicated that Rr was the most sensitive memory score to Aβ42 levels in MCI-AD, while no memory score correlated significantly with any biomarker in controls. CONCLUSIONS This study shows that Rr is a sensitive cognitive index of underlying amyloid β pathology in MCI-AD.
Collapse
Affiliation(s)
- Davide Bruno
- School of Natural Science and Psychology, Liverpool John Moores University, Liverpool, UK
| | - Carey E. Gleason
- Division of Geriatrics, Department of Medicine, School of Medicine and Public Health, University of Wisconsin- Madison, Madison, WI, USA,Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, USA, Madison, WI, USA,Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, USA, Madison WI, USA
| | - Rebecca L. Koscik
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin- Madison, Madison, WI, USA
| | - Nunzio Pomara
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA; Department of Psychiatry, School of Medicine, New York University, New York City, NY, USA,Department of Psychiatry, School of Medicine, New York University, New York City, NY, USA
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK,UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Sterling C. Johnson
- Division of Geriatrics, Department of Medicine, School of Medicine and Public Health, University of Wisconsin- Madison, Madison, WI, USA,Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, USA, Madison, WI, USA,Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, USA, Madison WI, USA
| |
Collapse
|
24
|
Turchetta CS, Perri R, Fadda L, Caruso G, De Simone MS, Caltagirone C, Carlesimo GA. Forgetting Rate on the Recency Portion of a Word List Differentiates Mild to Moderate Alzheimer’s Disease from Other Forms of Dementi. J Alzheimers Dis 2018; 66:461-470. [DOI: 10.3233/jad-180690] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Chiara Stella Turchetta
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- University “Tor Vergata”, Department of Systems Medicine, Rome, Italy
| | - Roberta Perri
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Lucia Fadda
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- University “Tor Vergata”, Department of Systems Medicine, Rome, Italy
| | - Giulia Caruso
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- University “Tor Vergata”, Department of Systems Medicine, Rome, Italy
| | - Maria Stefania De Simone
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- University “Tor Vergata”, Department of Systems Medicine, Rome, Italy
| | - Carlo Caltagirone
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- University “Tor Vergata”, Department of Systems Medicine, Rome, Italy
| | - Giovanni Augusto Carlesimo
- Laboratory of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- University “Tor Vergata”, Department of Systems Medicine, Rome, Italy
| |
Collapse
|