Yashar Zeighami

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 examines how bariatric surgery affects neural valuation of food stimuli over time and links these changes to long-term weight loss outcomes.

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

The paper identifies sex-specific regulatory dynamics in adolescent brain development that may contribute to depression vulnerability through hormone-sensitive gene expression and chromatin accessibility patterns.

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 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.

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 shows that systemic inflammation increases exploitative behavior in mice during patch-foraging tasks, suggesting a link between immunometabolic states and decision-making.

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

This paper identifies inaccuracies in existing spatial coordinates for the Allen Human Brain Atlas and provides a refined coordinate set to improve gene expression integration with neuroimaging data.

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.

This study evaluates permutation-based inference in PLS analysis of neuroimaging data, finding that Procrustes rotation affects significance and that complementary metrics improve LV assessment.

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.

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

The paper identifies cellular and neurochemical signatures associated with cerebral blood flow alterations in schizophrenia and clinical high-risk states using combined neuroimaging and transcriptomic data.

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.

The paper examines the relationship between impulsivity, uncontrolled eating, and BMI using structural equation models and MRI data, finding associations between impulsivity traits and BMI via uncontrolled eating.

This study examines changes in spontaneous neural activity after bariatric surgery using fALFF and ReHo, finding increased activity in specific brain regions linked to weight loss and metabolic improvements.

The paper identifies five major transcriptional patterns of brain disease risk genes across the adult human brain and highlights species-specific differences in psychiatric and substance abuse-related diseases.

This study examines how cortical surface smoothing and parcellation affect brain age prediction and association studies using cortical thickness and age-related variance explained.

The paper introduces a cortical brain MRI atlas divided into regions based on phylogenetic evolution, including five main ROIs and twelve neocortical sub-ROIs.

This study links neural activity in the human brain to decision-making parameters during a perceptual task, showing how drift rates and urgency signals are reflected in fMRI data.

This study examines brain structural changes after sleeve gastrectomy, finding increased grey and white matter density associated with weight loss and metabolic improvement.