Cerebral microbleeds in community-dwelling older people imaged both in-vivo and ex-vivo MRI

Poster No:

923 

Submission Type:

Abstract Submission 

Authors:

Md Tahmid Yasar1, Grant Nikseresht1, Abdur Raquib Ridwan2, Shengwei Zhang2, David Bennett2, Julie Schneider2, Konstantinos Arfanakis2

Institutions:

1Illinois Institute of Technology, Chicago, IL, 2Rush University Medical Center, Chicago, IL

First Author:

Md Tahmid Yasar  
Illinois Institute of Technology
Chicago, IL

Co-Author(s):

Grant Nikseresht  
Illinois Institute of Technology
Chicago, IL
Abdur Raquib Ridwan, PhD  
Rush University Medical Center
Chicago, IL
Shengwei Zhang  
Rush University Medical Center
Chicago, IL
David Bennett, MD  
Rush University Medical Center
Chicago, IL
Julie Schneider, MD  
Rush University Medical Center
Chicago, IL
Konstantinos Arfanakis, PhD  
Rush University Medical Center
Chicago, IL

Introduction:

Cerebral microbleeds (CMBs), visible as small hypointense spots on T2*-weighted MRI, represent small brain hemorrhages with hemosiderin deposits causing faster signal dephasing [1]. CMBs are common in older adults and are associated with cognitive decline, brain atrophy, and increased risk of intracerebral hemorrhage, stroke, and mortality [2]. CMBs have also been identified as a risk factor for amyloid-related imaging abnormalities (ARIA) in Alzheimer's treatments involving monoclonal antibodies [3]. In-vivo studies link lobar CMBs, particularly in the occipital lobe, to cerebral amyloid angiopathy (CAA) and subcortical CMBs to hypertensive arteriopathy [4]. Ex-vivo and autopsy studies further associate frontal lobe CMBs with CAA and arteriolosclerosis [5]. However, systematic comparisons of CMBs in in-vivo and ex-vivo MRI are lacking. This study aimed to investigate CMBs appearing in both scans and their association with clinical evaluations and neuropathologies.

Methods:

The longitudinal study included 37 community-based older adults who participated in four aging studies: Rush Memory and Aging Project, Religious Orders Study, Minority Aging Research Study, and Clinical Core of the Rush Alzheimer's Disease Research Center [6,7]. All participants underwent cognitive function testing and brain MRI imaging annually (Figure 1). Whole brain 3D T1w MPRAGE (1mm×1mm×1mm), and multi echo gradient echo (ME-GRE) (0.7mm×0.7mm×1.3mm, TE1 = 4.6ms, and ΔTE = 4.5ms) MRI data were acquired in-vivo using 3T clinical scanners [8]. After death and autopsy, one cerebral hemisphere 3D multi-echo spin echo (ME-SE) (0.6mm×0.6mm×1.5mm) and ME-GRE (1mm×1mm×1mm, TE1 = 5ms, and ΔTE = 5ms) of each participant was imaged ex-vivo at room temperature, at approximately 30 days postmortem using 3T scanners [5]. Following ex-vivo MRI, all hemispheres underwent detailed neuropathologic assessment including cerebrovascular pathologies like cerebral amyloid angiopathy (CAA), arteriolosclerosis, atherosclerosis, and gross and microscopic infarcts [9].

CMBs were annotated on the last acquired in-vivo before death and ex-vivo ME-GRE blinded to all pathologic and clinical data [5]. The ex-vivo CMB mask was first transformed to ME-SE space using FSL, then registered to the MIITRA template with ANTs [10]. The in-vivo CMB mask for the corresponding ex-vivo hemisphere was initially registered to N4-corrected MPRAGE and subsequently aligned with the MIITRA template using ANTs. The two CMB masks for each participant were then superimposed in MIITRA space to assess chronological changes in CMB characteristics among older individuals. In-vivo and ex-vivo CMBs that overlapped exactly were considered to be the same CMBs and denoted as matched CMBs (Figure 1). A participant was denoted matched if all ex-vivo CMBs had spatially matched with in-vivo CMBs.
Supporting Image: OHBM_Fig_1.png
 

Results:

Of the 37 participants, 22 (59%) had at least one CMB in ex-vivo data. The maximum number of matched in-vivo and ex-vivo CMBs in a single participant was 12. Among these participant, 24 (65%) showed exact matches between in-vivo and ex-vivo CMBs (Figure 2a, 2b). All mismatched cases, ex-vivo CMB counts were higher than in-vivo. The ex-vivo CMB counts were higher in participants with higher antemortem intervals (Figure 2c). Further investigation revealed, participants with no cognitive impairment (NCI) were more likely to have matched in-vivo and ex-vivo CMBs (Figure 2d). Additionally, participants with pathology confirmed CAA had a higher likelihood of having more ex-vivo CMBs than in-vivo (odds ratio = 3.33, p < 0.1). Two participants had five in-vivo CMBs that were not identifiable in ex-vivo imaging (Figure 2d).
Supporting Image: OHBM_Fig_2.png
 

Conclusions:

This study combined in-vivo and ex-vivo MRI in community-dwelling older adults, showing that CMBs observed in life persist and remain detectable on ex-vivo MRI postmortem. Furthermore, additional CMBs develop over time, especially in those with cognitive impairment and CAA.

Disorders of the Nervous System:

Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s) 2

Lifespan Development:

Aging 1

Keywords:

Aging
Cerebrovascular Disease
Cognition
Other - Cerebral microbleeds; Cerebral amyloid angiopathy; Ex-vivo applications; In-vivo applications

1|2Indicates the priority used for review

Abstract Information

By submitting your proposal, you grant permission for the Organization for Human Brain Mapping (OHBM) to distribute your work in any format, including video, audio print and electronic text through OHBM OnDemand, social media channels, the OHBM website, or other electronic publications and media.

I accept

The Open Science Special Interest Group (OSSIG) is introducing a reproducibility challenge for OHBM 2025. This new initiative aims to enhance the reproducibility of scientific results and foster collaborations between labs. Teams will consist of a “source” party and a “reproducing” party, and will be evaluated on the success of their replication, the openness of the source work, and additional deliverables. Click here for more information. Propose your OHBM abstract(s) as source work for future OHBM meetings by selecting one of the following options:

I do not want to participate in the reproducibility challenge.

Please indicate below if your study was a "resting state" or "task-activation” study.

Resting state
Other

Healthy subjects only or patients (note that patient studies may also involve healthy subjects):

Patients

Was this research conducted in the United States?

Yes

Are you Internal Review Board (IRB) certified? Please note: Failure to have IRB, if applicable will lead to automatic rejection of abstract.

Yes, I have IRB or AUCC approval

Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.

Yes

Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.

Not applicable

Please indicate which methods were used in your research:

Structural MRI

For human MRI, what field strength scanner do you use?

3.0T

Which processing packages did you use for your study?

FSL
Other, Please list  -   ANTs

Provide references using APA citation style.

1. Greenberg, S.M. ‘Cerebral microbleeds: a guide to detection and interpretation’. Lancet Neurol. 2009;8(2):165-174
2. Charidimou, A. ‘Clinical significance of cerebral microbleeds on MRI: A comprehensive meta-analysis of risk of intracerebral hemorrhage, ischemic stroke, mortality, and dementia in cohort studies’ (v1). Int J Stroke. 2018;13(5):454-468.
3. Hampel, H. ‘Amyloid-related imaging abnormalities (ARIA): radiological, biological and clinical characteristics’. Brain. 2023;146(11):4414-4424.
4. Charidimou, A. ‘The concept of sporadic cerebral small vessel disease: A road map on key definitions and current concepts’. Int J Stroke. 2016;11(1):6-18.
5. Nikseresht, G. ‘Neuropathologic correlates of cerebral microbleeds in community-based older adults’. Neurobiol Aging. 2023;129:89-98.
6. Bennett, D.A. ‘Religious Orders Study and Rush Memory and Aging Project’. J Alzheimer’s Dis. 2018;64:S161–S189.
7. Barnes, L.L. ‘The Minority Aging Research Study: Ongoing Efforts to Obtain Brain Donation in African Americans without Dementia’. Curr Alzheimer Res. 2013;9:734–745.
8. Zanon Zotin, M.C. ‘Sensitivity and Specificity of the Boston Criteria Version 2.0 for the Diagnosis of Cerebral Amyloid Angiopathy in a Community-Based Sample’. Neurology. 2024;102(1):e207940.
9. Boyle, P.A. ‘Cerebral amyloid angiopathy and cognitive outcomes in community-based older persons’. Neurol. 2015;85(22):1930–1936.
10. Ridwan, A.R. ‘Development and evaluation of a high performance T1-weighted brain template for use in studies on older adults’. Hum Brain Mapp. 2021;42(6):1758-1776.

UNESCO Institute of Statistics and World Bank Waiver Form

I attest that I currently live, work, or study in a country on the UNESCO Institute of Statistics and World Bank List of Low and Middle Income Countries list provided.

No