Mahsa Dadar

This study validates and compares TSE and GRASE techniques for myelin water imaging in postmortem human brains, showing moderate to strong agreement between the sequences.

A 3D ResNet18 trained on synthetically misaligned T1w scans predicts residual affine parameters, correcting synthetic misalignments to 0.778 mm residual RMSE and flagging failed registrations better than RegQCNET or DARQ.

This study quantifies how formaldehyde fixation affects MRI metrics in postmortem human brains over time and provides a framework to correct for these effects.

This study compares the effects of three fixation solutions on neuronal quantification in mouse primary motor cortex, finding no significant differences between them.

This study examines how prolonged formalin fixation affects immunohistochemical and histochemical stains in postmortem human brains, finding decreased staining for specific markers over time.

This study examines regional white matter hyperintensity (WMH) burden in coronary artery disease (CAD) and finds that CAD is associated with higher WMH volumes, with CABG linked to greater superficial WMH burden than PCI.

The paper compares MRI-histology registration quality in human brain blocks fixed with different solutions and finds that SSS-fixed blocks require more landmarks for alignment but still achieve sufficient registration quality.

RAVEN upsamples brain MRIs to higher resolution, preserving anatomical details across various modalities and field strengths.

The paper examines how changes in functional connectivity during rest and task relate to Alzheimer's pathology and episodic memory in older adults.

The paper compares T1- and T2-weighted MRI contrasts in brains fixed with different solutions, finding T2w images better suited for structural analysis.

This study identifies two brain-body health axes using multi-omics data from aging populations, linking metabolic features to cognitive deficits.

The paper shows that white matter hyperintensities (WMHs) appear before other biomarkers in GRN-related frontotemporal dementia, suggesting they are early indicators of disease progression.

PELICAN is a longitudinal MRI processing pipeline that improves accuracy and reliability in analyzing brain atrophy and abnormalities in aging and neurodegenerative disease populations.

This study examines how network structure and local biological features influence spatial patterns of cortical atrophy in ALS using the CALSNIC dataset.

The paper maps whole-brain cell-cell interactions across neurodegenerative diseases and identifies communication axes linked to regional brain vulnerability.

This paper validates MRI brain volume measurements using ex vivo specimens and finds that SynthSeg provides accurate T1-weighted volumes compared to water displacement.

This study maps cerebral blood perfusion across the human lifespan and links it to brain structure, function, and disease vulnerability using ASL data from 1,305 individuals.

This study disentangles the effects of sex and head size on brain morphometry and cognition using UK Biobank data, showing head size significantly influences sex differences.

The paper examines how prolonged post-fixation affects immunohistochemical and histochemical staining in postmortem human brains, finding mixed correlations with staining intensity and limited effects of age and PMI.

The paper describes a postmortem MRI protocol for the Douglas-Bell Canada Brain Bank to acquire high-resolution images while preserving tissue for histological analysis.

QRATER is a web-based QC tool for neuroimaging that enables rating of QC images, showing varying time and agreement across tasks and rater experience.

The paper compares histological quality and antigenicity preservation in human brains fixed with different solutions, finding that AFS-fixed brains show better antigen labeling and tissue quality than NBF or SSS.

The paper shows how the distribution of non-neuronal cell types in the brain predicts tissue damage patterns in thirteen neurodegenerative conditions.

This study uses MRI and deformation-based morphometry to show that nucleus basalis of Meynert degeneration occurs earlier than entorhinal cortex or hippocampus degeneration in Alzheimer's disease.

This paper assesses how scanner motion affects brain age gap estimates using MRI data from two datasets, finding significant differences in predicted age with varying motion levels.

This paper introduces FONDUE, a deep learning method for denoising MRI images that works across varying resolutions and performs comparably to state-of-the-art methods.

This study assesses white matter hyperintensity severity using multimodal MRI in Alzheimer's Disease by analyzing signal measures from different MRI contrasts and their associations with clinical variables.

This study compares fixative solutions used in human gross anatomy labs to preserve brain tissue antigenicity in mice, finding that two solutions maintain sufficient antigenicity for immunohistochemistry.

This paper develops an automated microbleed segmentation tool using transfer learning on MRI data, achieving high sensitivity and specificity.