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Zhu W, Zhou X, Ren M, Yin W, Tang Y, Yin J, Sun Y, Zhu X, Sun Z. Process approach as a cognitive biomarker related to gray matter volume in mild cognitive impairment and Alzheimer's disease. BMC Neurol 2024; 24:199. [PMID: 38872077 PMCID: PMC11170873 DOI: 10.1186/s12883-024-03711-2] [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: 01/14/2024] [Accepted: 06/04/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND Process approach is valuable for memory assessment in Alzheimer's disease (AD) and mild cognitive impairment (MCI), yet its underlying mechanisms remain elusive. This study aims to synergize the process approach with brain structure analysis to explore both the discriminative capacity and potential mechanisms underlying the process approach. METHODS 37 subjects of MCI, 35 subjects of AD and 38 subjects of healthy control (HC) were included. The process approach in Auditory Verbal Learning Test (AVLT), including discriminability (A'), response bias (B"D), semantic clustering (LBCsem) and serial clustering (LBCser) was performed. The gray matter volume (GMV) was analyzed by voxel-based morphometry. Receiver operating characteristic (ROC) analysis and partial correlations were conducted to explore the value of the process approach and investigate the relationship between the process approach, traditional indices of AVLT and GMV. RESULTS ROC analysis showed the value of A', B"D and LBCser in differentiating MCI and AD. Combining AVLT-Immediately Recall (AVLT-IR) and LBCser showed a higher value in diagnosing MCI. Partial correlations revealed that in the MCI group, A' and B"D were mainly positively associated with GMV of the hippocampus and temporal lobe. CONCLUSION This study indicated that the process approach is a promising cognitive biomarker to detect MCI and AD.
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Affiliation(s)
- Wenhao Zhu
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Shushan District, Hefei, 230022, China
| | - Xia Zhou
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Shushan District, Hefei, 230022, China
| | - Mengmeng Ren
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Shushan District, Hefei, 230022, China
| | - Wenwen Yin
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Shushan District, Hefei, 230022, China
| | - Yating Tang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Shushan District, Hefei, 230022, China
| | - Jiabin Yin
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Shushan District, Hefei, 230022, China
| | - Yue Sun
- Department of Neurology, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiaoqun Zhu
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Shushan District, Hefei, 230022, China
| | - Zhongwu Sun
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Shushan District, Hefei, 230022, China.
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Ruggeri M, Ricci M, Gerace C, Blundo C. Accelerated long-term forgetting: from subjective memory decline to a defined clinical entity. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2024:1-12. [PMID: 38363088 DOI: 10.1080/13825585.2024.2317924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 02/07/2024] [Indexed: 02/17/2024]
Abstract
Subjective memory decline (SMD) might represent the preclinical phase of Alzheimer's disease (AD), and has been reported in epileptic amnesia associated with accelerated long-term forgetting (ALF). We investigated ALF in SMD subjects by means of RAVLT recall and recognition and ROCF recall after 1-week retention and compared with a control group. Two-way ANOVAs for RAVLT and ROCF were conducted, and stepwise regression analysis was administered considering EMQ and DASS-21 as factors. SMD subjects performed significantly worse than controls at 1-week delay on RAVLT recall and recognition, but not on ROCF, and not associated with depression or memory complaints. SMD patients showed ALF, which is usually associated with temporomesial dysfunctions, representing a cognitive marker to assess objectively memory problems in SMD, and to undisclose initial neurodegenerative disease involving temporal structures usually compromised in AD. Therefore, SMD might no longer be "subjective," but rather a specific and defined clinical entity.
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Affiliation(s)
- Massimiliano Ruggeri
- Unit for Cognitive Disorders and Dementia, Department of Neuroscience, San Camillo Forlanini Hospital, Rome, Italy
| | - Monica Ricci
- Unit for Cognitive Disorders and Dementia, Department of Neuroscience, San Camillo Forlanini Hospital, Rome, Italy
| | - Carmela Gerace
- Unit for Cognitive Disorders and Dementia, Department of Neuroscience, San Camillo Forlanini Hospital, Rome, Italy
| | - Carlo Blundo
- Unit for Cognitive Disorders and Dementia, Department of Neuroscience, San Camillo Forlanini Hospital, Rome, Italy
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Euler MJ, Duff K, King JB, Hoffman JM. Recall and recognition subtests of the repeatable battery for the assessment of neuropsychological status and their relationship to biomarkers of Alzheimer's disease. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2023; 30:885-902. [PMID: 36110031 PMCID: PMC10014490 DOI: 10.1080/13825585.2022.2124229] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 09/08/2022] [Indexed: 10/14/2022]
Abstract
Recently, two new recognition subtests for the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) were developed and initially validated in a cohort of older adults who were cognitively intact or classified as amnestic Mild Cognitive Impairment (MCI) or mild Alzheimer's disease (AD). The current paper extends that validation by comparing the recall and recognition subtests of the RBANS, including the existing and recently developed scores, to three commonly used biomarkers in AD in an expanded sample from the initial validation. One hundred fifty-four older adults (65 intact, 46 MCI, 43 AD) were administered the RBANS, which included the recently developed subtests for Story Recognition and Figure Recognition (hits, false positives, total correct), as part of a study on memory and biomarkers. Participants also completed magnetic resonance imaging to obtain hippocampal volumes, positron emission tomography to obtain amyloid plaque deposition, and a blood draw to obtain APOE ε4 status. Whereas correlations between recall scores and biomarkers tended to be moderate (average r = ±0.48), these correlations were comparable across the three recognition total scores (average r = ±0.42), but tended to be lower for recognition hits (average r = ±0.28) and false positives (average r = ±0.38). These results further validate the existing and recently developed recognition scores on the RBANS as providing useful information about brain and genetic pathology in older adults with intact and impaired cognitive functioning.
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Affiliation(s)
- Matthew J Euler
- Department of Psychology, University of Utah, Salt Lake City, UT, USA
| | - Kevin Duff
- Center for Alzheimer's Care, Imaging, and Research, Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Jace B King
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
| | - John M Hoffman
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
- Radiology and Imaging Sciences, Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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Linear Mixed Model Analysis of Polygenic Hazard Score on Verbal Memory Decline in Alzheimer's Disease. Nurs Res 2023; 72:66-73. [PMID: 36097266 DOI: 10.1097/nnr.0000000000000623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) is a chronic, progressive, degenerative disease characterized by cognitive dysfunction, including verbal memory loss. Studies were lacking in examining the longitudinal effect of polygenic hazard score on the Rey Auditory Verbal Learning Test-Delayed Total (AVDELTOT) score (a common measure of verbal memory). A key step in analyzing longitudinal changes in cognitive measures using a linear mixed model (LMM) is choosing a suitable covariance structure. OBJECTIVES The study aims to determine the association between the polygenic hazard score and the AVDELTOT score accounting for repeated measures (the covariance structure). METHODS The AVDELTOT scores were collected at baseline, 12 months, 24 months, 36 months, and 48 months from 283 participants with AD, 347 with cognitive normal, and 846 with mild cognitive impairment in the Alzheimer's Disease Neuroimaging Initiative. The Bayesian information criterion statistic was used to select the best covariance structure from 10 covariance structures in longitudinal analysis of AVDELTOT scores. The multivariable LMM was used to investigate the effect of polygenic hazard score status (low vs. medium vs. high) on changes in AVDELTOT scores while adjusted for age, gender, education, APOE-ε4 genotype, and baseline Mini-Mental State Examination score. RESULTS One-way analysis of variance revealed significant differences in AVDELTOT scores, Mini-Mental State Examination scores, and polygenic hazard scores among AD diagnoses at baseline. Bayesian information criterion favored the compound symmetry covariance structure in the LMM analysis. Using the multivariate LMM, the APOE-ε4 allele and high polygenic hazard score value was significantly associated with AVDELTOT declines. Significant polygenic hazard score status by follow-up visit interactions was discovered. CONCLUSION Our findings provide the first evidence of the effect of polygenic hazard score status and APOE-ε4 allele on declines in verbal memory in people with AD.
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Ricci M, Ruggeri M, Gnisci C, Pizzoni L, Gerace C, Blundo C. Improving Amnesia Diagnostic Accuracy with RAVLT Single Scores and Composite Indices: Italian Normative Data. Arch Clin Neuropsychol 2022; 37:1749-1764. [DOI: 10.1093/arclin/acac055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2022] [Indexed: 11/12/2022] Open
Abstract
Abstract
Objective
The Rey Auditory Verbal Learning Test (RAVLT) is a widely used verbal memory measure that provides scores for different aspects of memory. It involves repeated auditory presentation and recall of a 15-item word list (List A) followed by presentation and recall of a distractor list (List B) and then un-cued immediate and delayed recalls (at 15 min and 1 week) of List A as well as recognition testing. Aims of this study are to provide Italian normative data for certain RAVLT Scores and Composite Indices to improve the diagnostic accuracy of the test in clinical settings and to provide further evidence on how RAVLT can differentiate different amnesia profiles due to focal lesions.
Methods
We enrolled 440 healthy participants and RAVLT Single Scores and Composite Indices have been analyzed by means of multiple regression to verify the influence of age, education, and gender.
Results
We computed the best linear models with RAVLT Single Scores and Composite Indices, as dependent variables, and the most suitable transformation of independent variables. By reversing the signs of the regression coefficients, the adjustment factors for each level of age and, if needed, education and gender have been computed and the adjusted scores have been standardized into Equivalent Scores.
Conclusion
Using these standardized measures, we differentiate three profiles of amnesia due to selective hippocampal sclerosis with severe encoding deficit, fornix lesions with source memory problems, and temporal lobe epilepsy with consolidation failure.
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Affiliation(s)
- Monica Ricci
- Centre for Cognitive Disorders and Dementia (CDCD) , Neuroscience Departement, , Rome , Italy
- San Camillo-Forlanini Hospital , Neuroscience Departement, , Rome , Italy
| | - Massimiliano Ruggeri
- Centre for Cognitive Disorders and Dementia (CDCD) , Neuroscience Departement, , Rome , Italy
- San Camillo-Forlanini Hospital , Neuroscience Departement, , Rome , Italy
- CAR – Rehabilitation Centre , Rome , Italy
| | - Cristina Gnisci
- Centre for Cognitive Disorders and Dementia (CDCD) , Neuroscience Departement, , Rome , Italy
- San Camillo-Forlanini Hospital , Neuroscience Departement, , Rome , Italy
| | - Luca Pizzoni
- Centre for Cognitive Disorders and Dementia (CDCD) , Neuroscience Departement, , Rome , Italy
- San Camillo-Forlanini Hospital , Neuroscience Departement, , Rome , Italy
| | - Carmela Gerace
- Centre for Cognitive Disorders and Dementia (CDCD) , Neuroscience Departement, , Rome , Italy
- San Camillo-Forlanini Hospital , Neuroscience Departement, , Rome , Italy
| | - Carlo Blundo
- Centre for Cognitive Disorders and Dementia (CDCD) , Neuroscience Departement, , Rome , Italy
- San Camillo-Forlanini Hospital , Neuroscience Departement, , Rome , Italy
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Girtler N, Chincarini A, Brugnolo A, Doglione E, Orso B, Morbelli S, Massa F, Peira E, Biassoni E, Donniaquio A, Grisanti S, Pardini M, Arnaldi D, Nobili F. The Free and Cued Selective Reminding Test: Discriminative Values in a Naturalistic Cohort. J Alzheimers Dis 2022; 87:887-899. [DOI: 10.3233/jad-215043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Neuropsychological assessment is still the basis for the first evaluation of patients with cognitive complaints. The Free and Cued Selective Reminding Test (FCSRT) generates several indices that could have different accuracy in the differential diagnosis between Alzheimer’s disease (AD) and other disorders. Objective: In a consecutive series of naturalistic patients, the accuracy of the FCSRT indices in differentiating patients with either mild cognitive impairment (MCI) due to AD or AD dementia from other competing conditions was evaluated. Methods: We evaluated the accuracy of the seven FCSRT indices in differentiating patients with AD from other competing conditions in 434 consecutive outpatients, either at the MCI or at the early dementia stage. We analyzed these data through the receiver operating characteristics curve, and we then generated the odds-ratio map of the two indices with the best discriminative value between pairs of disorders. Results: The immediate and the delayed free total recall, the immediate total recall, and the index of sensitivity of cueing were the most useful indices and allowed to distinguish AD from dementia with Lewy bodies and psychiatric conditions with very high accuracy. Accuracy was instead moderate in distinguishing AD from behavioral variant frontotemporal dementia, vascular cognitive impairment, and other conditions. Conclusion: By using odd-ratio maps and comparison-customized cut-off scores, we confirmed that the FCSRT represents a useful tool to characterize the memory performance of patients with MCI and thus to assist the clinician in the diagnosis process, though with different accuracy values depending on the clinical hypothesis.
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Affiliation(s)
- Nicola Girtler
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Andrea Brugnolo
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Beatrice Orso
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Silvia Morbelli
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Health Science (DISSAL), University of Genoa, Italy
| | - Federico Massa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Enrico Peira
- Istituto Nazionale di Fisica Nucleare (INFN), Genova, Italy
| | - Erica Biassoni
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Andrea Donniaquio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Stefano Grisanti
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Matteo Pardini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Dario Arnaldi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Flavio Nobili
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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Barker MS, Manoochehri M, Rizer SJ, Appleby BS, Brushaber D, Dev SI, Devick KL, Dickerson BC, Fields JA, Foroud TM, Forsberg LK, Galasko DR, Ghoshal N, Graff-Radford NR, Grossman M, Heuer HW, Hsiung GY, Kornak J, Litvan I, Mackenzie IR, Mendez MF, Pascual B, Rankin KP, Rascovsky K, Staffaroni AM, Tartaglia MC, Weintraub S, Wong B, Boeve BF, Boxer AL, Rosen HJ, Goldman J, Huey ED, Cosentino S. Recognition memory and divergent cognitive profiles in prodromal genetic frontotemporal dementia. Cortex 2021; 139:99-115. [PMID: 33857770 DOI: 10.1016/j.cortex.2021.03.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 01/28/2021] [Accepted: 03/01/2021] [Indexed: 01/01/2023]
Abstract
Although executive dysfunction is the characteristic cognitive marker of behavioral variant frontotemporal dementia (bvFTD), episodic memory deficits are relatively common, and may be present even during the prodromal disease phase. In a cohort of mutation carriers with mild behavioral and/or cognitive symptoms consistent with prodromal bvFTD, we aimed to investigate patterns of performance on an abbreviated list learning task, with a particular focus on recognition memory. We further aimed to characterize the cognitive prodromes associated with the three major genetic causes of frontotemporal dementia, as emerging evidence suggests there may be subtle differences in cognitive profiles among carriers of different genetic mutations. Participants included 57 carriers of a pathogenic mutation in microtubule-associated protein tau (MAPT, N = 23), or progranulin (GRN, N = 15), or a or a hexanucleotide repeat expansion in chromosome 9 open reading frame 72 (C9orf72, N = 19), with mild cognitive and/or behavioral symptoms consistent with prodromal bvFTD. Familial non-carriers were included as controls (N = 143). All participants completed a comprehensive neuropsychological examination, including an abbreviated list learning test assessing episodic memory recall and recognition. MAPT mutation carriers performed worse than non-carriers in terms of list recall, and had difficulty discriminating targets from distractors on the recognition memory task, primarily due to the endorsement of distractors as targets. MAPT mutation carriers also showed nonverbal episodic memory and semantic memory dysfunction (object naming). GRN mutation carriers were variable in performance and overall the most dysexecutive. Slowed psychomotor speed was evident in C9orf72 repeat expansion carriers. Identifying the earliest cognitive indicators of bvFTD is of critical clinical and research importance. List learning may be a sensitive cognitive marker for incipient dementia in MAPT and potentially a subset of GRN carriers. Our results highlight that distinct cognitive profiles may be evident in carriers of the three disease-causing genes during the prodromal disease stage.
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Affiliation(s)
- Megan S Barker
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA.
| | - Masood Manoochehri
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
| | - Sandra J Rizer
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
| | - Brian S Appleby
- Department of Neurology, Case Western Reserve University, Cleveland, OH, USA
| | - Danielle Brushaber
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Sheena I Dev
- Department of Neurology, Frontotemporal Disorders Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Katrina L Devick
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Bradford C Dickerson
- Department of Neurology, Frontotemporal Disorders Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Julie A Fields
- Division of Neurocognitive Disorders, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Tatiana M Foroud
- National Centralized Repository for Alzheimer's Disease (NCRAD), Indiana University, Indianapolis, IN, USA
| | | | - Douglas R Galasko
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | - Nupur Ghoshal
- Department of Neurology, Washington University, St. Louis, MO, USA
| | | | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hilary W Heuer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Ging-Yuek Hsiung
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - John Kornak
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Irene Litvan
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | - Ian R Mackenzie
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Mario F Mendez
- Department of Neurology, University of California, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Belen Pascual
- Nantz National Alzheimer Center, Houston Methodist Neurological Institute, Houston, TX, USA; Weill Cornell Medicine, NY, USA
| | - Katherine P Rankin
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Katya Rascovsky
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Adam M Staffaroni
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Maria Carmela Tartaglia
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sandra Weintraub
- Northwestern Feinberg School of Medicine, Mesulam Center for Cognitive Neurology and Alzheimer's Disease Northwestern University, Chicago, IL, USA
| | - Bonnie Wong
- Department of Neurology, Frontotemporal Disorders Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Adam L Boxer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Howard J Rosen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Jill Goldman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA; Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Edward D Huey
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA; Department of Neurology, Columbia University Medical Center, New York, NY, USA; Department of Psychiatry and New York Psychiatric Institute, Columbia University Medical Center, New York, USA
| | - Stephanie Cosentino
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA; Department of Neurology, Columbia University Medical Center, New York, NY, USA; Gertrude H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA
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