Bramsh Q. Chandio

BundleMorphometry: Spatially Resolved White Matter Bundle Shape Analysis Using Nonlinear Streamline-based Registration

BundleMorphometry quantifies local white matter bundle shape using nonlinear registration, revealing deformation patterns in glioma and Parkinson's disease datasets.

Tractometry-Based Quantification of Along-Tract White-Matter Hemispheric Asymmetry in Alzheimer's Disease

This paper introduces an asymmetry-aware tractometry framework to quantify left-right hemispheric asymmetries in white matter tracts and applies it to Alzheimer's Disease data to differentiate cognitive states.

SPECTRA: Spatial Inference for Tractometry Toward Precision Mapping of White Matter Microstructure

SPECTRA improves white matter microstructure mapping by incorporating spatial resolution and adaptive error control in tractometry analysis.

BundleWarp: Enhancing White Matter Tractometry and Morphometry with Precise Neuronal Mapping using Streamline-based Nonlinear Registration

BundleWarp improves white matter tractometry by aligning tracts while preserving anatomical features, enhancing sensitivity to disease-related changes in conditions like Alzheimer's and Parkinson's.

Assessing the Influence of Tractography Methods on Detected White Matter Microstructure in Alzheimer's disease

The paper compares deterministic and probabilistic tractography methods in ADNI data, finding bundle-level differences in white matter microstructure metrics between the two approaches.

Evaluating Sample-Size Efficiency and Sensitivity of Tractometry in Alzheimer's Disease

This study evaluates how sample size and resolution affect tractometry's sensitivity and specificity in detecting dementia and amyloid-related effects in Alzheimer's disease.

Along-Tract Microstructural Alterations Associated with Stimulant Misuse Localized using Diffusion MRI Tractometry

This study uses diffusion MRI tractometry to identify localized white matter microstructural changes associated with stimulant misuse, finding distinct patterns for amphetamine use compared to cocaine use.

Streamline Density Normalization: A Robust Approach to Mitigate Bundle Variability in Multi-Site Diffusion MRI

This paper introduces SDNorm, a method to reduce variability in diffusion MRI streamline reconstructions, improving reproducibility across different acquisition protocols.

White Matter Tract Vulnerability to Amyloid Pathology on the Alzheimer's Disease Continuum

This study uses BUAN tractometry to assess how amyloid positivity affects white matter tracts in Alzheimer's disease, revealing localized microstructural changes associated with amyloid pathology.

Deterministic versus Probabilistic Tractography: Impact on White Matter Bundle Shape

This study compares deterministic and probabilistic tractography methods for the left arcuate fasciculus across four datasets, finding probabilistic methods yield higher inter-subject shape similarity but may obscure subtle pathological variations.

White Matter Microstructural Alterations in Autism Localized with Bundle Analytics

This study uses BUAN and TDF to analyze white matter microstructure in autism, finding region-specific reductions in integrity and increases in diffusivity in the corpus callosum.

Mapping Along-Tract White Matter Microstructural Differences in Autism

This study uses BUAN and TDF to map white matter microstructural differences in autism, finding altered fractional anisotropy and diffusivity in specific regions of major tracts.

Microstructural Mapping of Neural Pathways in Alzheimer's Disease using Macrostructure-Informed Normative Tractometry

This study introduces MINT, a framework that jointly models white matter microstructure and macrostructure to better detect anomalies in MCI and dementia, showing improved sensitivity compared to traditional diffusion metrics.

BundleAGE: Predicting White Matter Age using Along-Tract Microstructural Profiles from Diffusion MRI

This paper predicts white matter age using along-tract microstructural profiles from diffusion MRI to identify differential aging patterns and develop a new biomarker for neurodegenerative disease risk.

Amyloid, Tau, and APOE in Alzheimer's Disease: Impact on White Matter Tracts

This study uses diffusion MRI and tractometry to analyze how amyloid, tau, and APOE genetic variants affect white matter microstructure in Alzheimer's disease.

Bundle Analytics based Data Harmonization for Multi-Site Diffusion MRI Tractometry

This paper applies data harmonization techniques to 3D diffusion MRI tractometry to improve reliability and comparability across multiple scanning protocols.

Deep Normative Tractometry for Identifying Joint White Matter Macro- and Micro-structural Abnormalities in Alzheimer's Disease

This paper introduces DNT, a variational autoencoder framework for detecting white matter abnormalities in Alzheimer's disease using macro- and microstructural data.

Multi-Site Statistical Mapping of Along-Tract Microstructural Abnormalities in Bipolar Disorder with Diffusion MRI Tractometry

This study maps microstructural abnormalities along white matter tracts in bipolar disorder using multisite diffusion MRI tractometry and identifies significant differences in fractional anisotropy between BD patients and controls.

Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting

This study uses a variational autoencoder to generate synthetic tractography-based bundle templates from a small dataset, showing improved shape capture compared to standard atlases.

Along-Tract Statistical Mapping of Microstructural Abnormalities in Bipolar Disorder: A Pilot Study

This study uses diffusion MRI and BUAN to map microstructural differences in white matter tracts between bipolar disorder patients and controls, finding altered Fractional Anisotropy in specific pathways.

Learning Optimal White Matter Tract Representations from Tractography using a Deep Generative Model for Population Analyses

This paper uses a ConvVAE to reduce the dimensionality of white matter tractography data, identifies 6 tracts with significant differences between Alzheimer's patients and controls, and preserves distances in a 6-dimensional space.

BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data

BundleCleaner denoises and subsamples diffusion MRI tractography data, improving alignment with atlas bundles and enabling efficient tractometry analysis in Alzheimer's disease studies.

FiberNeat: Unsupervised White Matter Tract Filtering

FiberNeat filters false positive and implausible streamlines from tractograms using unsupervised methods, improving tract quality and tractometry.

Evaluating the reliability of human brain white matter tractometry

This study evaluates the reliability of dMRI-based tractometry by assessing reproducibility, test-retest reliability, and robustness using software and datasets from the Human Connectome Project and clinical-grade measurements.

Pandora: 4-D white matter bundle population-based atlasesderived from diffusion MRI fiber tractography

The paper presents a population-based white matter atlas derived from diffusion MRI fiber tractography, including 216 bundles from 2443 subjects.