Advanced Neuroimaging Techniques and Applications

More Highly Myelinated White Matter Tracts are Associated with Faster Processing Speed in Healthy Adults

This study finds that myelin content in specific white matter tracts predicts processing speed in healthy adults, with age-related differences observed across tracts.

Diffusion MRI of white matter microstructure development in childhood and adolescence: Methods, challenges and progress

This paper reviews diffusion MRI methods for studying white matter development in childhood and adolescence, highlighting challenges and recent progress in understanding brain maturation.

Quantitative MRI Provides Markers Of Intra-, Inter-Regional, And Age-Related Differences In Young Adult Cortical Microstructure

The paper uses quantitative MRI to map microstructural differences in young adult cortex, finding age-related increases in myelin markers and regional variations in tissue composition.

Brain white matter structure and language ability in preschool-aged children

The paper examines the relationship between preschool-aged children's language skills and brain white matter structure, finding structural markers for language difficulties as early as 3 years of age.

Multifactorial Dynamics of White Matter Connectivity During Adolescence

The paper constructs a multifactorial model of white matter connectivity during adolescence using Bayesian networks and diffusion imaging data, showing that architectural specifications become more influential with age.

Local Connectome Phenotypes Predict Social, Health, and Cognitive Factors

The paper uses diffusion MRI to analyze white matter architecture and shows it can predict social, health, and cognitive attributes across individuals.

Tractography-based connectomes are dominated by false-positive connections

The paper evaluates tractography methods by analyzing a simulated dataset, finding that most algorithms generate many false-positive connections.

White matter differences in Parkinson’s disease mapped using tractometry

This paper maps white matter differences in Parkinson’s disease using tractometry to identify localized microstructural abnormalities in specific brain pathways.

BAYESIAN NON-CENTRAL CHI REGRESSION FOR NEUROIMAGING

The paper introduces a Bayesian non-central chi regression model for fMRI and DWI data, showing improved accuracy in localizing brain activity and estimating diffusion metrics compared to Gaussian models.

Multidimensional encoding of brain connectomes

This paper introduces a framework to encode brain connectomes and diffusion data into multidimensional arrays, enabling efficient storage and analysis of connectome data.

The Impact of In-Scanner Head Motion on Structural Connectivity Derived from Diffusion Tensor Imaging

This paper evaluates how in-scanner head motion affects structural connectivity estimates from diffusion tractography in a developmental cohort, showing motion biases connectivity strength in a consistency and length-dependent manner.

Computational neuroanatomy of human stratum proprium of interparietal sulcus

This study identifies and characterizes the stratum proprium of interparietal sulcus (SPIS) in vivo using diffusion MRI and tractography, showing its connection to optic-flow processing areas.

White Matter and Social Cognition

The paper reviews structural connectivity in social neuroscience and uses diffusion imaging to map white matter pathways underlying social brain networks.

Harmonization Of Multi-Site Diffusion Tensor Imaging Data

This paper shows that diffusion tensor imaging data are site-specific and demonstrates that ComBat effectively harmonizes them while preserving biological variability.

Heritable cognitive and psychopathology factors in youth are predicted by brain fronto-temporal white matter pathway

The paper identifies a brain white matter pattern linked to heritable cognitive and psychopathology factors in youth using data from the PNC sample.

Fiber tractography using machine learning

This paper introduces a machine learning-based fiber tractography method using random forest classification and evaluates it against state-of-the-art approaches using phantom and in vivo experiments.

Subcortical volume and white matter integrity abnormalities in major depressive disorder: findings from UK Biobank imaging data

This study finds reduced white matter integrity in individuals with major depressive disorder using UK Biobank imaging data, but no significant subcortical volume differences.

The Role Of Diffusion MRI In Neuroscience

This paper reviews the role of diffusion MRI in neuroscience, highlighting its contributions to understanding white matter anatomy, function, and plasticity, while discussing its limitations and future challenges.

Structural and functional brain changes following four weeks of unimanual motor training: evidence from fMRI-guided diffusion MRI tractography

This study shows that four weeks of motor training increases fractional anisotropy in specific brain regions and decreases mean diffusivity in others, indicating structural white-matter changes.

Integrative Structural Brain Network Analysis In Diffusion Tensor Imaging

This study compares structural brain connectivity models using diffusion tensor imaging features in normal controls and maltreated children.

The effect of crack cocaine addiction and age on the microstructure and morphology of the human striatum and thalamus using shape analysis and fast diffusion kurtosis imaging.

This study uses MRI and diffusion kurtosis imaging to examine morphological and microstructural changes in the striatum and thalamus of individuals with crack cocaine addiction compared to controls, while considering age and cocaine use duration.

Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorder

This study uses SVM on diffusion tensor MRI to classify MDD and healthy controls with 70% accuracy, showing predictive information is distributed across brain networks.

Age-Related Delay in Visual and Auditory Evoked Responses is Mediated by White- and Gray-matter Differences

The paper investigates age-related differences in visual and auditory evoked responses using MEG and MRI, finding distinct structural correlates for each type of delay.

Do Candidate Genes Affect the Brain’s White Matter Microstructure? Large-Scale Evaluation of 6,165 Diffusion MRI Scans

The paper evaluates 15 candidate SNPs associated with psychiatric disorders using 6,165 diffusion MRI scans, finding no significant associations after correction for multiple testing.

Optimization of a free water elimination two-compartment model for diffusion tensor imaging.

This paper provides an open-source implementation of a two-compartment free water elimination model for diffusion tensor imaging and evaluates its performance using simulations.

RECONSTRUCTION OF THE CORTICAL MAPS OF THE TASMANIAN TIGER AND COMPARISON TO THE TASMANIAN DEVIL

The paper reconstructs white matter tracts in two Tasmanian tiger brains and compares them to Tasmanian devil brains, showing more modularized cortical patterns in the thylacine consistent with a predatory niche.

Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification

The paper evaluates 35 methods for generating structural connectomes using pairwise classification on diffusion MRI data from three test-retest datasets.

FiberNET: An ensemble deep learning framework for clustering white matter fibers

FiberNET clusters white matter fibers using deep learning, achieving accuracy comparable to or better than existing methods.

In Utero Diffusion Tensor Imaging Of The Fetal Brain: A Reproducibility Study

This study evaluates the reproducibility of in utero diffusion tensor imaging metrics and white matter structure visibility in fetuses, finding higher reproducibility in normal brain development cases.

Learn to Track: Deep Learning for Tractography

This paper applies deep learning to fiber tractography, showing models can generate streamlines from DWI data and outperform traditional methods in accuracy and false connection control.