M. Mallar Chakravarty

The paper uses Ca2+ imaging and fMRI-BOLD in mice to compare functional network organization, finding overlapping but distinct patterns between modalities.

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 uses fMRI to track functional connectivity changes in a mouse model of Alzheimer's disease over time and shows that mGluR5 modulator treatment reverses these deficits.

This study examines subcortical structural differences in autism using MRI data, finding localized shape variations rather than volumetric differences, with age-related patterns observed.

The paper introduces a longitudinal dataset of school-age children and adolescents in China, detailing its design, sampling, and neuroimaging measurements.

The paper examines individual variability in microstructural-functional coupling in the human cortex using MRI data and identifies coupling patterns linked to cognitive performance.

The paper develops population-wide cerebellar growth models using neuroimaging data, revealing an anterior-posterior growth gradient linked to cognitive and motor development.

The paper examines age-related trajectories of MRI cortical markers and finds high spatial overlap but divergent age trends, suggesting different microstructural origins for these markers.

This study investigates the association between cerebellar and subcortical atrophy and neuropsychiatric symptoms in genetic frontotemporal dementia, finding significant differences across genetic mutations.

This study examines litter-specific variability in mice and shows how increasing the number of litters can improve power for detecting developmental changes in brain structure and behavior.

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 paper examines how parcellation methods and sample size affect canonical correlation analysis results in neuroimaging studies using UK Biobank data.

This study examines the relationship between menopause status, type, and age at menopause with cognition, Alzheimer's Disease, and brain anatomy using UK Biobank data, finding no direct brain impact but a positive correlation between non-surgical menopause age and cognition, and confirming increased AD risk with early or surgical menopause.

This study maps pontocerebellar connectivity using diffusion MRI tractography, revealing a rostral-to-caudal gradient in the pons associated with non-motor and motor cerebellar lobules.

This study identifies neuroanatomical and cognitive biomarkers of alpha-synuclein propagation in a mouse model, showing early cognitive deficits and brain atrophy linked to prion-like spread of misfolded alpha-synuclein.

Neuromaps provides a software package to standardize and compare brain maps across different coordinate systems, enabling comprehensive annotation analysis of the human brain.

The paper examines if combined prenatal maternal immune activation and adolescent cannabis use lead to neurodevelopmental changes in mice, finding subtle deviations and sex-dependent effects.

RABIES provides a standardized image processing and quality control platform for rodent fMRI to improve reproducibility and analysis consistency across different acquisition sites and species.

This paper uses neuroimaging data to analyze how multiple brain morphometric features covary across development and their associations with behavior, age, and socioeconomic status.

The paper maps interspecies differences in subcortical anatomy between humans and chimpanzees, linking heritability, morphology, and behavioral correlates.

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.

This study examines how early or late prenatal maternal immune activation affects mouse embryo brain development, finding distinct neuroanatomical changes depending on exposure timing.

This study uses non-negative matrix factorization to identify 5 spatially distinct striatal components in the human striatum, showing increased stability with multimodal data and associations with age and sex.

This study examines neuroanatomical changes in Fischer 344 rats during aging and between sexes using longitudinal MRI, identifying age- and sex-related differences in brain regions associated with memory and motor control.

The paper examines how lifestyle and reproductive factors interact with cortical thickness in healthy adults, finding sex-specific patterns linked to brain ageing.

The paper examines myelin and microstructural changes in basal forebrain cholinergic nuclei in first-episode psychosis using neuroimaging and transcriptomic data, finding disrupted correlations and clinical correlates.

This study examines the impact of MRI scanner upgrades and volumetric navigators on structural and spectroscopy indices, finding mixed reliability and changes in brain measurements.

This study uses shape analysis to examine hippocampal changes across age and finds age-related shape changes linked to sex, education, and cognition.

This study shows that early gestational MIA exposure in mice leads to lasting brain and behavioral changes, while late exposure has less impact, with molecular changes in the dorsal hippocampus.

The paper examines age-related changes in hippocampal subfield volumes across the lifespan and shows that MR sequence affects volumetric estimates.