Abstract TP263: Acute Anemia After Intracerebral Hemorrhage Associates with Impaired White Matter Connectivity
Abstract
Background/Objective: While chronic anemia is known to impair white matter connectivity and cerebrovascular disease, the effects of acute anemia on white matter connectivity are unknown. We assessed whether the acute, rapid anemia seen after intracerebral hemorrhage (ICH) is associated with MRI evidence of impaired white matter connectivity. Methods: Supratentorial spontaneous ICH participants enrolled in a prospective observational diffusion MRI (dMRI) study between 2017 and 2021 were assessed. Participants with available dMRI imaging and serial hemoglobin measurements during their hospitalization were analyzed. Acute hemoglobin changes from admission to MRI acquisition was the primary variable of interest. Impaired white matter connectivity was assessed as the radiographic outcome using quantitative anisotropy (QA) on dMRI data reconstructed with generalized Q-sampling Imaging (GQI) in the contralateral hemisphere to the ICH. Associations between hemoglobin changes and white matter connectivity were evaluated using a multivariate, non-parametric, permutation-based statistical framework (Correlational Tractography), adjusting for demographics and ICH volume, to obtain false discovery rate (FDR) corrected p-values for tract segments significantly associated with the study variable. Results: The 38 ICH patients with both MRI and hemoglobin data were predominately male (68%), had a mean age of 67 years (±13), and 65.8% had an ICH deep location. The median day of the MRI was 4, and the mean hemoglobin at baseline and time of MRI was 13.5g/dL (± 2.1) and 12.9g/dL (± 2.1), respectively. While baseline hemoglobin did not relate to white matter connectivity, greater acute hemoglobin decrements were associated with lower QA (FDRp
Fields of Study & Subjects
Intracerebral and Subarachnoid Hemorrhage Research
Advanced Neuroimaging Techniques and Applications
Advanced MRI Techniques and Applications
Publication details
- Journal / source
- Stroke
- Volume
- 57
- Issue
- Suppl_1
- Publication date
- 29 January 2026
- Language
- EN