Yixue Feng

Lifespan Normative Modeling of Brain Microstructure

This paper develops a lifespan normative model of brain white matter microstructure using diffusion MRI data from 54,583 individuals, enabling detection of microstructural deviations in diseases like Alzheimer's and 22q11.2 deletion syndrome.

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.

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.

Distributional and Centile Calibration of Diffusion Tensor Imaging Normative Models as Training Sample Sizes Increase to 40,000 Subjects

The paper examines how increasing training sample size improves the calibration of diffusion tensor imaging normative models using hierarchical Bayesian regression.

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.

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.

Comparison of Explainable AI Models for MRI-based Alzheimer's Disease Classification

This study compares explainable AI models for Alzheimer's disease classification using MRI scans, evaluating interpretability methods and generalization across different populations.

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.

Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American Cohorts

This paper evaluates CNN models for brain age prediction and dementia classification using diffusion MRI, showing improved performance after dataset harmonization across Indian and North American cohorts.

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.

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.