M. Mallar Chakravarty

The paper compares five algorithms for deriving structural covariance networks in the thalamocortical system and finds they emphasize different neurobiological aspects based on their mathematical properties.

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.

This study shows early cerebellar morphology drives neocortical maturation in a regionally specific manner across humans and mice.

Nipoppy standardizes neuroimaging data workflows to enable reproducible and comparable multi-center data sharing.

The paper applies quality control to the Allen Mouse Brain Connectivity Atlas, rebuilding connectomes and showing changes in connectivity patterns and organizational structure.

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

This study examines the effects of prenatal THC exposure on mouse brain development using MRI across the lifespan, finding sex-dependent neurodevelopmental impacts.

The paper quantifies sex differences in human cortical volume by separating contributions from surface area and thickness, and links these to genetic and hormonal factors using neuroimaging data.

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

This study investigates how alpha-synuclein propagation affects brain atrophy and motor deficits across different genotypes and inoculation sites in mice.

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 develops guidelines for improving rs-fMRI data quality in rodents by identifying optimal anesthetic protocols and physiological parameters.

The paper identifies sex-specific neuroanatomical and connectomic signatures of stress susceptibility in male and female mice using a phenotype-matched chronic variable stress protocol.

The paper uses simultaneous calcium imaging and fMRI in mice to identify cell-type specific signals in the brain with high spatiotemporal resolution.

This study identifies lifestyle factors associated with preserved hippocampal microstructure in younger adults, which correlates with better executive function but not memory.

This paper introduces a two-level deformation-based morphometry pipeline for longitudinal brain change analysis using MRI, showing improved sensitivity and accuracy in detecting volume changes compared to traditional methods.

The paper examines sex-specific and APOE4-related associations between cardiometabolic risk factors and white matter microstructure in individuals with a family history of Alzheimer's disease.

This study investigates how physical activity and diet affect brain structure and behavior in mouse models of Alzheimer's disease, finding that combined interventions reduce obesity-related brain changes.

The paper investigates sex differences in aSyn pathology progression in M83 mice using MRI and behavioral analysis, finding female resilience to neurodegeneration despite earlier motor symptom onset in males.

This study examines the combined effects of chronic stress and ethanol intake on brain structure, function, and behavior in rats, finding sex-dependent impacts on brain volume and connectivity.

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 cerebellar-cortical structural covariance in humans and finds distinct patterns between sensorimotor and cognitive networks, with implications for developmental and genetic influences.

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 conducts GWAS on brain volumes, identifies genetic loci, and develops polygenic scores with cross-ancestry predictive ability and causal links to neuropsychiatric disorders.

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 assesses consistency of rat fMRI results across 12 centers using a unified pipeline and identifies variability due to experimental differences.

The paper examines developmental changes in hippocampal neurite diffusion markers and their correlation with cell-type composition using MRI and gene-expression data.

The paper introduces NEST, a framework for testing brain-phenotype associations within functional networks, applied to neurodevelopmental imaging data.

The paper identifies joint signatures of microstructural and morphological changes in the Alzheimer's spectrum using MRI metrics and non-negative matrix factorization, linking them to risk factors and disease progression.