Ontario Neurodegenerative Disease Research Initiative (ONDRI): Structural MRI methods &amp; outcome measures

Ramirez, Joel; Holmes, Melissa F.; Scott, Christopher J.; Ozzoude, Miracle; Adamo, Sabrina; Szilagyi, Gregory M.; Goubran, Maged; Gao, Fuqiang; Arnott, Stephen R.; Lawrence‐Dewar, Jane M.; Beaton, Derek; Strother, Stephen C.; Munoz, Douglas P.; Masellis, Mario; Swartz, Richard H.; Bartha, Robert; Symons, Sean; Black, Sandra E.

doi:10.1101/2019.12.13.875823

Cited by 8 publications

(12 citation statements)

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“…Incorporating more accurate brain extraction and lesion masks from ONDRI reduced the overall failure rate to less than 8% when the corrected procedure was applied. This improvement could be attributed to the use of multi-modal imaging sequences in the ONDRI structural neuroimaging pipeline (40). This method produces consistent and accurate brain extraction and lesion segmentation.…”

Section: Discussionmentioning

confidence: 99%

“…MRI protocol were harmonised with the Canadian Dementia Imaging Protocol (CDIP) (37), and were in compliance with the National Institute of Neurological Disorders and Stroke-Canadian Stroke Network Vascular Cognitive Impairment Harmonization Standards (38). Detailed MRI protocols are reported elsewhere (39,40). In brief, the structural MRI used in the current study include: a high-resolution 3D T1-weighted (T1), an interleaved proton density (PD) and T2-weighted (T2), and a T2 fluid-attenuated inversion recovery (FLAIR) images.…”

Section: Mri Acquisition and Pre-processingmentioning

confidence: 99%

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Cortical thickness estimation in individuals with cerebral small vessel disease, focal atrophy, and chronic stroke lesions

Ozzoude

Ramirez

Raamana³

et al. 2020

Preprint

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BackgroundRegional changes to cortical thickness in individuals with neurodegenerative and cerebrovascular diseases can be estimated using specialised neuroimaging software. However, the presence of cerebral small vessel disease, focal atrophy, and cortico-subcortical stroke lesions, pose significant challenges that increase the likelihood of misclassification errors and segmentation failures.PurposeThe main goal of this study was to examine a correction procedure developed for enhancing FreeSurfer’s cortical thickness estimation tool, particularly when applied to the most challenging MRI obtained from participants with chronic stroke and cerebrovascular disease, with varying degrees of neuro-vascular lesions and brain atrophy.MethodsIn 155 cerebrovascular disease patients enrolled in the Ontario Neurodegenerative Disease Research Initiative (ONDRI), FreeSurfer outputs were compared between a fully automated, unmodified procedure and a corrected procedure that accounted for potential sources of error due to atrophy and neurovascular lesions. Quality control (QC) measures were obtained from both procedures. Association between cortical thickness and global cognitive status as assessed by the Montreal Cognitive Assessment (MoCA) score was also investigated from both procedures.ResultsCorrected procedures increased ‘Acceptable’ QC ratings from 18% to 76% for the cortical ribbon and from 38% to 92% for tissue segmentation. Corrected procedures reduced ‘Fail’ ratings from 11% to 0% for the cortical ribbon and 62% to 8% for tissue segmentation. FreeSurfer-based segmentation of T1-weighted white matter hypointensities were significantly greater in the corrected procedure (5.8mL vs. 15.9mL, p<0.001). The unmodified procedure yielded no significant associations with global cognitive status, whereas the corrected procedure yielded positive associations between MoCA total score and clusters of cortical thickness in the left superior parietal (p=0.018) and left insula (p=0.04) regions. Further analyses with the corrected cortical thickness results and MoCA subscores showed a positive association between left superior parietal cortical thickness and Attention (p<0.001).ConclusionsThese findings suggest that correction procedures that account for brain atrophy and neurovascular lesions can significantly improve FreeSurfer’s segmentation results, reduce failure rates, and potentially increase sensitivity to examine brain-behaviour relationships. Future work will examine relationships between cortical thickness, cerebral small vessel disease, and neurodegenerative disease in the ONDRI study.

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Section: Discussionmentioning

confidence: 99%

Section: Mri Acquisition and Pre-processingmentioning

confidence: 99%

Cortical thickness estimation in individuals with cerebral small vessel disease, focal atrophy, and chronic stroke lesions

Ozzoude

Ramirez

Raamana³

et al. 2020

Preprint

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“…To account for the more rapid motoric and respiratory decline of individuals with ALS, participants in that cohort completed clinical, neuropsychology, and eye tracking assessments at 6-month intervals. Additional information pertaining to the assessment platforms is provided elsewhere 11,[24][25][26][27][28][29][30][31] .…”

Section: Assessment Platformsmentioning

confidence: 99%

“…All data are stored in Brain-CODE 33 : a secure, centralized neuroinformatics system designed for the collection, storage, federation, sharing, and analysis of different types of data using a diverse set of electronic data capture tools including XNAT, RedCap, and LabKey. Rigorous, assessment-specific data pre-processing and quality control procedures were developed and executed to ensure data were of the highest-possible fidelity [26][27][28][29][30][31] . This included investigation of any missing data and the use of detailed, non-numeric missing codes to indicate broad categories for missing values where they could be determined.…”

Section: Data Management and Quality Controlmentioning

confidence: 99%

“…ONDRI data underwent extensive cleaning and quality control pipelines to identify and correct data entry or processing errors [26][27][28][29][30][31] , or document anomalies 34 , thereby increasing the accuracy and integrity of data and consequently reducing the risk of incorrect conclusions. While such protocols can be time consuming, they serve a two-fold benefit: more accurate results due to correction of erroneously recorded data and more nuanced analyses sensitive to idiosyncrasies in the sample.…”

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confidence: 99%

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The Ontario Neurodegenerative Disease Research Initiative

Sunderland¹,

Beaton²,

Arnott³

et al. 2020

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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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Caregiving concerns and clinical characteristics across neurodegenerative and cerebrovascular disorders in the Ontario neurodegenerative disease research initiative

Beaton

McLaughlin

Orange

et al. 2022

Int J Geriat Psychiatry

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Objectives Caregiving burdens are a substantial concern in the clinical care of persons with neurodegenerative disorders. In the Ontario Neurodegenerative Disease Research Initiative, we used the Zarit's Burden Interview (ZBI) to examine: (1) the types of burdens captured by the ZBI in a cross‐disorder sample of neurodegenerative conditions (2) whether there are categorical or disorder‐specific effects on caregiving burdens, and (3) which demographic, clinical, and cognitive measures are related to burden(s) in neurodegenerative disorders? Methods/Design N = 504 participants and their study partners (e.g., family, friends) across: Alzheimer's disease/mild cognitive impairment (AD/MCI; n = 120), Parkinson's disease (PD; n = 136), amyotrophic lateral sclerosis (ALS; n = 38), frontotemporal dementia (FTD; n = 53), and cerebrovascular disease (CVD; n = 157). Study partners provided information about themselves, and information about the clinical participants (e.g., activities of daily living (ADL)). We used Correspondence Analysis to identify types of caregiving concerns in the ZBI. We then identified relationships between those concerns and demographic and clinical measures, and a cognitive battery. Results We found three components in the ZBI. The first was “overall burden” and was (1) strongly related to increased neuropsychiatric symptoms (NPI severity r = 0.586, NPI distress r = 0.587) and decreased independence in ADL (instrumental ADLs r = −0.566, basic ADLs r = −0.43), (2) moderately related to cognition (MoCA r = −0.268), and (3) showed little‐to‐no differences between disorders. The second and third components together showed four types of caregiving concerns: current care of the person with the neurodegenerative disease, future care of the person with the neurodegenerative disease, personal concerns of study partners, and social concerns of study partners. Conclusions Our results suggest that the experience of caregiving in neurodegenerative and cerebrovascular diseases is individualized and is not defined by diagnostic categories. Our findings highlight the importance of targeting ADL and neuropsychiatric symptoms with caregiver‐personalized solutions.

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Ontario Neurodegenerative Disease Research Initiative (ONDRI): Structural MRI methods & outcome measures

Cited by 8 publications

References 106 publications

Cortical thickness estimation in individuals with cerebral small vessel disease, focal atrophy, and chronic stroke lesions

Cortical thickness estimation in individuals with cerebral small vessel disease, focal atrophy, and chronic stroke lesions

The Ontario Neurodegenerative Disease Research Initiative

Caregiving concerns and clinical characteristics across neurodegenerative and cerebrovascular disorders in the Ontario neurodegenerative disease research initiative

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