Daniel Glen

The paper reveals nonuniform scaling of cerebellar cortical-nuclear architecture across primates using cross-species atlases, showing cortical expansion outpaces DCN enlargement.

This study compares morphometric differences in pediatric epilepsy patients with preserved hemispheres to healthy controls, finding reduced gray matter and cortical measures in those with preserved right hemispheres.

This study shows that rapid neural information can be decoded from ultra-fast fMRI signals using multivariate pattern decoders, achieving significant accuracy within 2 seconds of stimulus onset.

The paper uses MRI similarity network analysis to study how early life stress affects cortical network development in rats, finding altered inter-areal similarity in key brain regions.

The paper creates a 3D subcortical atlas of the marmoset brain using MRI and histology, validated across age groups, for neuroanatomical and functional research.

The paper introduces FMRI quality control tools in AFNI, providing systematic, in-depth, and interactive QC features for preprocessing pipelines.

The paper integrates structural and functional connectivity data from marmoset brains to map functional networks, develop a deep-learning parcellation generator, and investigate structural-functional relationships.

The paper proposes using the second derivative (DoG) for edge detection in MRI coregistration, improving alignment quality by generating closed surfaces and reducing intensity dependency.

The paper maps subcortical regions in macaque brains using MAP-MRI and histology, creating a digital atlas for neuroanatomical studies.

LayNii is a software suite designed for analyzing layer-specific functional MRI data with SNR and coverage constraints, offering tools for layerification, smoothing, and artifact mitigation.

The paper presents a subcortical atlas for rhesus macaques, SARM, aligned to a population template, and validates it with fMRI data.

The paper introduces NMT v2 and the CHARM atlas for macaque neuroimaging, integrated into AFNI for fMRI analysis.

The paper introduces PRIME-RE, a collaborative platform for sharing NHP neuroimaging resources, tools, and data.

The paper develops and validates age-specific Indian brain templates and atlases for spatial normalization of MRI data across ages 6-60 years.

This study uses sub-millimeter fMRI to show that individual fingers have multiple mirrored representations in the motor cortex based on movement types, bridging invasive and non-invasive motor organization research.

The paper introduces a Bayesian multilevel modeling approach for neuroimaging connectomics that integrates region, region pairs, and subject analyses to improve statistical inference and avoid multiple testing issues.

The paper shows that using two one-sided t-tests without correction doubles the false positive rate compared to a single two-sided test.

The paper comments on and corrects a previous study comparing FMRI analysis software, focusing on AFNI's processing pipeline and its implementation.

The paper presents a high-resolution MRI template and analysis tools for macaque brains, enabling standardized processing and comparison across subjects and studies.