scholarly journals Ontario Neurodegenerative Disease Research Initiative (ONDRI): Structural MRI Methods and Outcome Measures

2020 ◽  
Vol 11 ◽  
Author(s):  
Joel Ramirez ◽  
Melissa F. Holmes ◽  
Christopher J. M. Scott ◽  
Miracle Ozzoude ◽  
Sabrina Adamo ◽  
...  
2006 ◽  
Vol 14 (7S_Part_8) ◽  
pp. P440-P440
Author(s):  
Arunima Kapoor ◽  
Sean Symons ◽  
Robert Bartha ◽  
Christopher J.M. Scott ◽  
Sandra E. Black ◽  
...  

Author(s):  
Sali M. K. Farhan ◽  
Robert Bartha ◽  
Sandra E. Black ◽  
Dale Corbett ◽  
Elizabeth Finger ◽  
...  

AbstractBecause individuals develop dementia as a manifestation of neurodegenerative or neurovascular disorder, there is a need to develop reliable approaches to their identification. We are undertaking an observational study (Ontario Neurodegenerative Disease Research Initiative [ONDRI]) that includes genomics, neuroimaging, and assessments of cognition as well as language, speech, gait, retinal imaging, and eye tracking. Disorders studied include Alzheimer’s disease, amyotrophic lateral sclerosis, frontotemporal dementia, Parkinson’s disease, and vascular cognitive impairment. Data from ONDRI will be collected into the Brain-CODE database to facilitate correlative analysis. ONDRI will provide a repertoire of endophenotyped individuals that will be a unique, publicly available resource.


Author(s):  
Christopher J.M. Scott ◽  
Stephen R. Arnott ◽  
Aditi Chemparathy ◽  
Fan Dong ◽  
Igor Solovey ◽  
...  

ABSTRACTLarge scale research studies combining magnetic resonance imaging data generated at multiple sites on multiple vendor platforms are becoming more commonplace. The Ontario Neurodegenerative Disease Research Initiative (ONDRI - http://ondri.ca/), a project funded by the Ontario Brain Institute (OBI), is a recently established province-wide natural history study, which has recruited more than 500 participants from neurodegenerative disease groups including amyotrophic lateral sclerosis, fronto-temporal dementia, Parkinson’s disease, Alzheimer’s disease, mild cognitive impairment, and cerebrovascular disease (previously referred to as the vascular cognitive impairment cohort). Because of its multi-site nature, all captured data must be standardized and meet minimum quality standards to reduce variability. The goal of the ONDRI imaging platform is to maximize data quality by implementing vendor-specific harmonized MR imaging protocols (consistent with the Canadi-an Dementia Imaging Protocol - http://www.cdip-pcid.ca/), monitoring protocol adherence, qualitatively assessing image quality, measuring signal-to-noise and contrast-to-noise, monitoring system stability, and applying corrections based on the analysis of images from two different phantoms regularly acquired at each site. To maximize image quality, this work describes the use of various automatic pipelines and manual assessment steps, integrated within an established informatics and databasing platform, the Stroke Patient Recovery Research Database (SPReD) built on the Extensible Neuroimaging Archive Toolkit (XNAT), and contained within the Brain-CODE (Centre for Ontario Data Exploration) framework. The purpose of the current paper is to describe the steps undertaken by ONDRI to achieve this high standard of data integrity. Data have been successfully collected for the past 4 years with the pipelines and assessments identifying deviations, allowing for timely interventions and assessment of image quality.


Author(s):  
Allison A. Dilliott ◽  
Emily C. Evans ◽  
Sali M.K. Farhan ◽  
Mahdi Ghani ◽  
Christine Sato ◽  
...  

ABSTRACT:Background/Objective:Apolipoprotein E (APOE) E4 is the main genetic risk factor for Alzheimer’s disease (AD). Due to the consistent association, there is interest as to whether E4 influences the risk of other neurodegenerative diseases. Further, there is a constant search for other genetic biomarkers contributing to these phenotypes, such as microtubule-associated protein tau (MAPT) haplotypes. Here, participants from the Ontario Neurodegenerative Disease Research Initiative were genotyped to investigate whether the APOE E4 allele or MAPT H1 haplotype are associated with five neurodegenerative diseases: (1) AD and mild cognitive impairment (MCI), (2) amyotrophic lateral sclerosis, (3) frontotemporal dementia (FTD), (4) Parkinson’s disease, and (5) vascular cognitive impairment.Methods:Genotypes were defined for their respective APOE allele and MAPT haplotype calls for each participant, and logistic regression analyses were performed to identify the associations with the presentations of neurodegenerative diseases.Results:Our work confirmed the association of the E4 allele with a dose-dependent increased presentation of AD, and an association between the E4 allele alone and MCI; however, the other four diseases were not associated with E4. Further, the APOE E2 allele was associated with decreased presentation of both AD and MCI. No associations were identified between MAPT haplotype and the neurodegenerative disease cohorts; but following subtyping of the FTD cohort, the H1 haplotype was significantly associated with progressive supranuclear palsy.Conclusion:This is the first study to concurrently analyze the association of APOE isoforms and MAPT haplotypes with five neurodegenerative diseases using consistent enrollment criteria and broad phenotypic analysis.


Assessment ◽  
2020 ◽  
pp. 107319112091393 ◽  
Author(s):  
Paula M. McLaughlin ◽  
Kelly M. Sunderland ◽  
Derek Beaton ◽  
Malcolm A. Binns ◽  
Donna Kwan ◽  
...  

As large research initiatives designed to generate big data on clinical cohorts become more common, there is an increasing need to establish standard quality assurance (QA; preventing errors) and quality control (QC; identifying and correcting errors) procedures for critical outcome measures. The present article describes the QA and QC approach developed and implemented for the neuropsychology data collected as part of the Ontario Neurodegenerative Disease Research Initiative study. We report on the efficacy of our approach and provide data quality metrics. Our findings demonstrate that even with a comprehensive QA protocol, the proportion of data errors still can be high. Additionally, we show that several widely used neuropsychological measures are particularly susceptible to error. These findings highlight the need for large research programs to put into place active, comprehensive, and separate QA and QC procedures before, during, and after protocol deployment. Detailed recommendations and considerations for future studies are provided.


Author(s):  
Joel Ramirez ◽  
Melissa F. Holmes ◽  
Christopher J.M. Scott ◽  
Miracle Ozzoude ◽  
Sabrina Adamo ◽  
...  

ABSTRACTThe Ontario Neurodegenerative Research Initiative (ONDRI) is a 3 year multi-site prospective cohort study that has acquired comprehensive multiple assessment platform data, including 3T structural MRI, from neurodegenerative patients with Alzheimer’s disease, mild cognitive impairment, Parkinson’s disease, amyotrophic lateral sclerosis, frontotemporal dementia, and cerebrovascular disease patients. This heterogeneous cross-section of patients with complex neurodegenerative and neurovascular pathologies pose significant challenges for standard neuroimaging tools. To effectively quantify regional measures of normal and pathological brain tissue volumes, the ONDRI neuroimaging platform implemented a semi-automated MRI processing pipeline that was able to address many of the challenges resulting from this heterogeneity. This paper describes the comprehensive neuroimaging pipeline methods used to generate regional brain tissue volumes & neurovascular markers.


2020 ◽  
Author(s):  
Derek Beaton ◽  
Paula M. McLaughlin ◽  
Joseph B. Orange ◽  
Douglas P. Munoz ◽  
Jennifer Mandzia ◽  
...  

Introduction: Informal caregivers for persons living with neurodegenerative disorders experience various types of stress and strain. Few studies have investigated the nature of caregiving concerns (“burdens”) and factors that contribute to those concerns, especially across multiple neurodegenerative and cerebrovascular disorders. Methods: The Ontario Neurodegenerative Disease Research Initiative (ONDRI) recruited participants with five neurodegenerative and cerebrovascular disorders (N = 504). Participants had study partners (family or friends) who provided information about themselves (e.g., the Zarit’s Burden Interview), as well as information about the clinical participants (e.g., activities of daily living). We used Correspondence Analysis to identify types of caregiving concerns in the Zarit’s, then identified relationships between those concerns and demographic, clinical, and cognitive measures.Results: We identified three components from the ZBI. The first was “overall burden” and was (1) strongly related to increases in neuropsychiatric symptoms and decreases in activities of daily living, (2) only moderately related to cognition, and (3) showed little-to-no differences between disorders. The second and third components revealed four types of caregiving concerns: current care of patient, future care of patient, personal concerns of study partner and social concerns of study partner. Discussion: We showed that caregiving concerns are multidimensional and individual experiences and emphasize the importance of support for the management of ADLs and neuropsychiatric symptoms, as well as individualized needs for caregiving assessment, education, training, and support strategies.


Author(s):  
Kelly M Sunderland ◽  
Derek Beaton ◽  
Stephen R Arnott ◽  
Peter Kleinstiver ◽  
Donna Kwan ◽  
...  

Objective: In individuals over the age of 65, concomitant neurodegenerative pathologies contribute to cognitive and/or motor decline and can be aggravated by cerebrovascular disease, but our understanding of how these pathologies synergize to produce the decline represents an important knowledge gap. The Ontario Neurodegenerative Disease Research Initiative (ONDRI), a multi-site, longitudinal, observational cohort study, recruited participants across multiple prevalent neurodegenerative diseases and cerebrovascular disease, collecting a wide array of data and thus allowing for deep investigation into common and unique phenotypes. This paper describes baseline features of the ONDRI cohort, understanding of which is essential when conducting analyses or interpreting results. Methods: Five disease cohorts were recruited: Alzheimer's disease/amnestic mild cognitive impairment (AD/MCI), amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), Parkinson's disease (PD), and cerebrovascular disease (CVD). Assessment platforms included clinical, neuropsychology, eye tracking, gait and balance, neuroimaging, retinal imaging, genomics, and pathology. We describe recruitment, data collection, and data curation protocols, and provide a summary of ONDRI baseline characteristics. Results: 520 participants were enrolled. Most participants were in the early stages of disease progression. Participants had a median age of 69 years, a median Montreal Cognitive Assessment score of 25, a median percent of independence of 100 for basic activities of daily living, and a median of 93 for instrumental activities. Variation between disease cohorts existed for age, level of cognition, and geographic location. Conclusion: ONDRI data will enable exploration into unique and shared pathological mechanisms contributing to cognitive and motor decline across the spectrum of neurodegenerative diseases.


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