D. Louis Collins

VRPTR predicts individual language activation from resting-state fMRI with improved correlation over baseline models, while providing calibrated uncertainty estimates.

The paper evaluates hippocampal-to-ventricle ratio (HVR) as a head-size-independent biomarker, showing consistent sex differences and cognitive associations in UK Biobank participants.

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

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

This paper improves brain age prediction models by reducing generalization error through preprocessing, data augmentation, and regularization.

The paper links early cell cycle gene expression in cortical organoids to interindividual variability in infant brain growth trajectories.

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.

This paper evaluates automated methods for hippocampal segmentation and HVR calculation, finding that a CNN-based method outperforms others in accuracy and reliability.

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.

The paper introduces a multi-contrast neonatal brain template and atlases to improve image processing and spatial normalization in neonatal neuroimaging.

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 tracks the conversion of diffusely abnormal white matter to T2 lesions in MS patients, showing it occurs independently of inflammation and gadolinium enhancement.

The paper develops a functional parcellation method for both cortical and subcortical brain surfaces, showing improved homogeneity and alignment with known subnuclei compared to arbitrary parcellations.

The paper investigates the relationship between white matter hyperintensities, amyloid, and pTau with cognitive decline in cognitively normal older adults, finding WMHs are linked to future executive functioning decline.

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.

BigBrainWarp simplifies integration of BigBrain histology with neuroimaging by providing tools for registration and cytoarchitectural feature access.

The paper introduces disease-specific neuroimaging templates for frontotemporal dementia (FTD) to improve registration accuracy and reduce biases in analyses of affected populations.

This study shows that atrophy patterns in bvFTD are shaped by both global brain network structure and local transcriptomic vulnerability from disease-related genes.

DARQ is a deep learning method for automated quality control of stereotaxic MRI registration, achieving high accuracy comparable to manual assessment.

This study examines the relationship between white matter hyperintensities (WMHs) and grey matter atrophy in neurodegenerative diseases, finding significant associations in MCI, AD, and FTD but not PD.

This study investigates cognitive dysfunction in older HIV+ men using EEG and MRI, finding that attention-related neural circuits are more affected than inhibitory control circuits.

BISON improves brain tissue segmentation using T1-weighted MRIs and random forests, outperforming existing methods in accuracy and reliability across age and scanner variations.

The paper examines associations between white matter microstructure and Aβ/tau pathology in specific brain bundles in at-risk older adults, finding diffusion metrics linked to Aβ and tau levels at cortical endpoints.

The paper introduces CerebrA, an atlas registered to the MNI-ICBM2009c template, with manual label correction for improved anatomical accuracy in brain imaging.

This study examines the relationship between white matter hyperintensities and neuropsychiatric symptoms in Alzheimer’s disease and mild cognitive impairment, finding significant longitudinal associations with irritability and agitation.

The paper segments and tracks white matter lesions in MS patients, finding that transformation of diffuse abnormal white matter to focal lesions correlates with clinical progression.

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

This paper automates the separation of focal white matter lesions and diffusely abnormal white matter in MS using MRI intensity thresholds and finds MTR values are lower in focal lesions compared to diffusely abnormal white matter.