Characteristics of the Ontario Neurodegenerative Disease Research Initiative cohort.
Alzheimer's disease
Parkinson's disease
amnestic mild cognitive impairment
amyotrophic lateral sclerosis
cerebrovascular disease
cohort study
dementia
frontotemporal dementia spectrum disorder
neurodegenerative disease
Journal
Alzheimer's & dementia : the journal of the Alzheimer's Association
ISSN: 1552-5279
Titre abrégé: Alzheimers Dement
Pays: United States
ID NLM: 101231978
Informations de publication
Date de publication:
01 2023
01 2023
Historique:
revised:
01
12
2021
received:
29
04
2021
accepted:
17
12
2021
pubmed:
2
11
2022
medline:
18
1
2023
entrez:
1
11
2022
Statut:
ppublish
Résumé
Understanding synergies between neurodegenerative and cerebrovascular pathologies that modify dementia presentation represents an important knowledge gap. This multi-site, longitudinal, observational cohort study recruited participants across prevalent neurodegenerative diseases and cerebrovascular disease and assessed participants comprehensively across modalities. We describe univariate and multivariate baseline features of the cohort and summarize recruitment, data collection, and curation processes. We enrolled 520 participants across five neurodegenerative and cerebrovascular diseases. Median age was 69 years, median Montreal Cognitive Assessment score was 25, median independence in activities of daily living was 100% for basic and 93% for instrumental activities. Spousal study partners predominated; participants were often male, White, and more educated. Milder disease stages predominated, yet cohorts reflect clinical presentation. Data will be shared with the global scientific community. Within-disease and disease-agnostic approaches are expected to identify markers of severity, progression, and therapy targets. Sampling characteristics also provide guidance for future study design.
Types de publication
Observational Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
226-243Investigateurs
Agessandro Abrahao
(A)
Sabrina Adamo
(S)
Courtney Berezuk
(C)
Alanna Black
(A)
David P Breen
(DP)
Dennis Bulman
(D)
Ying Chen
(Y)
Sherif El-Defrawy
(S)
Sali Farhan
(S)
Mahdi Ghani
(M)
John Gonder
(J)
Seyyed M H Haddad
(SMH)
Melissa Holmes
(M)
Jeff Huang
(J)
Elena Leontieva
(E)
Efrem Mandelcorn
(E)
Edward Margolin
(E)
Nuwan Nanayakkara
(N)
Miracle Ozzoude
(M)
Alicia J Peltsch
(AJ)
Bruce Pollock
(B)
Pradeep Raamana
(P)
Natalie Rashkovan
(N)
None Yanina
Alisia Southwell
(A)
Sujeevini Sujanthan
(S)
Faryan Tayyari
(F)
Karen Van Ooteghem
(K)
John Woulfe
(J)
Mojdeh Zamyadi
(M)
Guangyong Zou
(G)
Informations de copyright
© 2022 the Alzheimer's Association.
Références
Prince M, Wimo A, Guerchet M, Ali G, Wu Y, Prina M. Alzheimer's Disease International. World Alzheimer's report 2015: The Global Impact of Dementia. 2015.
Petersen RC, Aisen PS, Beckett LA, et al. Alzheimer's Disease Neuroimaging Initiative (ADNI): clinical characterization. Neurology. 2010;74:201-209.
Ellis KA, Bush AI, Darby D, De Fazio D, Foster J, Hudson P, et al. The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease. Int Psychogeriatr. 2009;21(4):672-687.
Rohrer JD, Nicholas JM, Cash DM, et al. Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative (GENFI) study: a cross-sectional analysis. Lancet Neurol. 2015;14:253-262.
Marek K, Chowdhury S, Siderowf A, et al. The Parkinson's progression markers initiative (PPMI)-establishing a PD biomarker cohort. Ann Clin Transl Neurol. 2018;5:1460-1477.
Pantoni L, Basile AM, Pracucci G, et al. Impact of age-related cerebral white matter changes on the transition to disability-the LADIS study: rationale, design and methodology. Neuroepidemiology. 2005;24:51-62.
Kalra S, Khan M, Barlow L, et al. The Canadian ALS Neuroimaging Consortium (CALSNIC)-a multicentre platform for standardized imaging and clinical studies in ALS. medRxiv. 2020. Epub.
National Alzheimer's Coordinating Center. Accessed: 2021. Available at: https://naccdata.org/
Ramirez J, McNeely AA, Scott CJM, Masellis M, Black SE. White matter hyperintensity burden in elderly cohort studies: the Sunnybrook Dementia Study, Alzheimer's Disease Neuroimaging Initiative, and Three-City Study. Alzheimer's Dement. 2016;12:203-210.
Ahmad K, Baig MH, Mushtaq G, Kamal MA, Greig NH, Choi I. Commonalities in biological pathways, genetics, and cellular mechanism between Alzheimer disease and other neurodegenerative diseases: an in silico-updated overview. Curr Alzheimer Res. 2017;14:1190-1197.
Coulthard EJ, Love S. A broader view of dementia: multiple co-pathologies are the norm. Brain. 2018;141:1894-1897.
Mirza SS, Saeed U, Knight J, et al. APOE ε4, white matter hyperintensities, and cognition in Alzheimer and Lewy body dementia. Neurology. 2019;93:e1807-e1819.
Wardlaw JM, Smith EE, Biessels GJ, et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol. 2013;12:822-838.
Chan F, Armstrong IT, Pari G, Riopelle RJ, Munoz DP. Deficits in saccadic eye-movement control in Parkinson's disease. Neuropsychologia. 2005;43:784-796.
Coe BC, Munoz DP. Mechanisms of saccade suppression revealed in the anti-saccade task. Philos Trans R Soc B. 2017;372:20160192.
Jindahra P, Hedges TR, Mendoza-Santiesteban CE, Plant GT. Optical coherence tomography of the retina: applications in neurology. Curr Opin Neurol. 2010;23:16-23.
Montero-Odasso M, Verghese J, Beauchet O, Hausdorff JM. Gait and cognition: a complementary approach to understanding brain function and the risk of falling. J Am Geriatr Soc. 2012;60:2127-2136.
Farhan SMK, Bartha R, Black SE, et al. The Ontario Neurodegenerative Disease Research Initiative (ONDRI). Can J Neurol Sci. 2017;44:196-202.
McLaughlin PM, Sunderland KM, Beaton D, et al. The quality assurance and quality control protocol for neuropsychological data collection and curation in the Ontario Neurodegenerative Disease Research Initiative (ONDRI) study. Assessment. 2021;28:1267-1286.
Wechsler D. Wechsler Adult Intelligence Scale. The Psychological Corporation; 1997.
Smith A. Manual for the symbol digit modalities test. Western Psychological Services; 1982.
Benton AL, Sivan AB, Kd Hamsher, Varney NR, Spreen O. Contributions to neuropsychological assessment. Oxford University Press; 1994.
Warrington EK, James M. Visual object and space perception battery. Thames Valley Test Company; 1991.
Mack WJ, Freed DM, Williams BW, Henderson VH. Boston naming test: shortened versions for use in Alzheimer's disease. J Gerontol. 1992;47:154-158.
Delis DC, Kaplan E, Kramer JH. Delis-Kaplan executive function system. The Psychological Corporation; 2001.
German DJ. Test of Adolescent/Adult Word Finding. Western Psychological Services; 2001.
Goodglass H, Kaplan E, Barresi B. Boston Diagnostic Aphasia Examination. Pro-Ed Inc; 2001.
Schmidt M. Rey auditory verbal learning test: a handbook. Western Psychological Services; 1996.
Benedict RHB. Brief visuospatial memory test - revised: professional manual. Psychological Assessment Resources; 1997.
Reitan RM. The relation of the trail making test to organic brain damage. J Consult Psychol;155(19):393.
Wechsler D. Wechsler Abbreviated Scale of Intelligence. The Psychological Corporation; 2011.
Ontario Brain Institute. Available at: https://braininstitute.ca/ 2019.
Vaccarino AL, Dharsee M, Strother S, et al. Brain-CODE: a secure neuroinformatics platform for management, federation, sharing and analysis of multi-dimensional neuroscience data. Front Neuroinform. 2018;12:1-14.
Srivastava O, Hanstock C, Chenji S, et al. Cerebral degeneration in amyotrophic lateral sclerosis. Neurol Clin Pract. 2019;9:400-407.
Grill JD, Monsell S, Karlawish J. Are patients whose study partners are spouses more likely to be eligible for Alzheimer's disease clinical trials? Dement Geriatr Cogn Disord. 2012;33:334-340.
Lee L, Hillier LM, Heckman G, et al. Primary care-based memory clinics: expanding capacity for dementia care. Can J Aging. 2014;33:307-319.
Willis AW, Schootman M, Evanoff BA, Perlmutter JS, Racette BA. Neurologist care in Parkinson disease: a utilization, outcomes, and survival study. Neurology. 2011;77:851-857.
Kapoor A, Bartha R, Black SE, et al. Structural brain magnetic resonance imaging to rule out comorbid pathology in the assessment of Alzheimer's disease dementia: findings from the Ontario Neurodegenerative Disease Research Initiative (ONDRI) study and clinical trials over the past 10 years. J Alzheimer's Dis. 2020;74:747-757.
Dilliott AA, Farhan SMK, Ghani M, et al. Targeted next-generation sequencing and bioinformatics pipeline to evaluate genetic determinants of constitutional disease. J Vis Exp. 2018;134:57266.
Wong BM, Cheng RW, Mandelcorn ED, et al. Validation of optical coherence tomography retinal segmentation in neurodegenerative disease. Transl Vis Sci Technol. 2019;8(5):6.
Haddad SMH, Scott CJM, Ozzoude M, et al. Comparison of quality control methods for automated diffusion tensor imaging analysis pipelines. PLoS One [online serial. 2019;14(12):e0226715.
Scott CJM, Arnott SR, Chemparathy A, et al. An overview of the quality assurance and quality control of magnetic resonance imaging data for the Ontario Neurodegenerative Disease Research Initiative (ONDRI): pipeline development and neuroinformatics. bioRxiv [online serial]. 2020. Available at: https://www.biorxiv.org/content/10.1101/2020.01.10.896415v1 2020.
Ramirez J, Holmes MF, Scott CJM, Ozzoude M, Adamo S, Szilagyi GM, et al. Ontario Neurodegenerative Disease Research Initiative (ONDRI): structural MRI methods and outcome measures. Front Neurol;11:847.
Sunderland KM, Beaton D, Fraser J, et al. The utility of multivariate outlier detection techniques for data quality evaluation in large studies: an application within the ONDRI project. BMC Med Res Methodol. 2019;19:1-16.
McKhann GM, Knopman DS, Chertkow H, et al. The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on aging-Alzheimer's association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimer's Dement. 2012;7:263-269.
Albert MS, Dekosky ST, Dickson D, et al. The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimer's Dement. 2011;7:270-279.
E Brooks. Escorial world federation of neurology criteria for the diagnosis of amyotrophic lateral sclerosis. J Neurol Sci. 1994;124:96-107.
Rascovsky K, Hodges JR, Knopman D, et al. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain. 2011;134:2456-2477.
Armstrong MJ, Litvan I, Lang AE, et al. Criteria for the diagnosis of corticobasal degeneration. Neurology. 2013;80:496-503.
Litvan I, Agid Y, Calne D, et al. Clinical research criteria for the diagnosis of progressive supranuclear palsy (Steele-Richardson-Olszewski syndrome): report of the NINDS-SPSP International Workshop. Neurology. 1996;47:1-9.
Gorno-Tempini ML, Hillis AE, Weintraub S, et al. Classification of primary progressive aphasia and its variants. Neurology. 2011;76:1006-1014.
Hughes AJ, Daniel SE, Kilford L, Lees AJ. Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases. J Neurol Neurosurg Psychiatry. 1992;55:181-184.
Nasreddine ZS, Phillips NA, Bédirian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53:695-699.
Greenacre M, Blasius J. Multiple Correspondence Analysis and Related Methods. Chapman & Hall/CRC Press; 2006.
Montero-Odasso M, Pieruccini-Faria F, Bartha R, et al. Motor phenotype in neurodegenerative disorders: gait and balance platform study design protocol for the Ontario Neurodegenerative Research Initiative (ONDRI). J Alzheimer's Dis. 2017;59:707-721.
Farhan SMK, Dilliott AA, Ghani M, et al. The ONDRISeq panel: custom-designed next-generation sequencing of genes related to neurodegeneration. NPJ Genomic Med. 2016;1:16032.
Elamin M, Bede P, Byrne S, et al. Cognitive changes predict functional decline in ALS: a population-based longitudinal study. Neurology. 2013;80:1590-1597.
Beaton D, Sunderland KM, Levine B, et al. Generalization of the minimum covariance determinant algorithm for categorical and mixed data types. bioRxiv [online serial] 2019. Available at: https://doi.org/10.1101/333005 2018. bioRxiv
Cohen J Statistical Power Analysis for the Behavioral Sciences. 2nd ed. 1988.
Sunnybrook Research Institute. BEAM: brain-Eye Amyloid Memory Study (BEAM) [online]. ClinicalTrials.gov. 2015. Accessed November 8, 2019. Available at: https://clinicaltrials.gov/ct2/show/NCT02524405
Beaton D, Fatt CRC, Abdi H, ExPosition [online]. 2019. Accessed at: https://cran.r-project.org/web/packages/ExPosition/ExPosition.pdf
Wickham H, Chang W, Henry L, et al. ggplot2 [online]. 2019. Accessed at: https://cran.r-project.org/web/packages/ggplot2/ggplot2.pdf