Anastasia Yendiki

Diffusion MRI tractography below 750 µm resolves the dorsal superior longitudinal fasciculus into layered fiber systems of varying length, matching macaque tracing; 1.5 mm tractography misses this.

The paper presents a multimodal imaging pipeline that combines diffusion MRI and high-resolution X-ray microscopy to map the human connectome across multiple scales.

This paper uses HiP-CT to image microstructural fiber orientations in the human brain, showing greater complexity than dMRI while being non-destructive.

This paper presents the first extensive reconstruction of human subcortical fiber pathways using ultra-high-resolution dMRI, providing a high-definition atlas with clinical applications.

This paper presents high-resolution diffusion MRI data from macaque and human brains, enabling detailed mapping of axonal architecture and microstructure.

This study identifies genetic and cellular factors associated with age-related changes in white matter microstructure using GWAS and transcriptomic data from UK Biobank.

The paper introduces the Network Correspondence Toolbox (NCT) to evaluate spatial correspondence between novel neuroimaging results and existing brain atlases, enabling standardized reporting and comparison across studies.

This paper introduces a deep-learning method for segmenting fiber bundles in histological tracing data, achieving 80% true positive rate with limited manual labels.

The paper identifies monosynaptic and disynaptic connections of the amygdala with salience and default mode networks in macaques and translates findings to human diffusion MRI.

This paper introduces a method to measure 3D fiber orientation in the human brain using two illumination angles in PS-OCT, achieving high angular precision and detailed 3D maps.

This paper introduces a Bayesian segmentation algorithm for thalamic nuclei using diffusion MRI and an improved histological atlas, showing improved accuracy in identifying nuclei and detecting Alzheimer's disease involvement.

This study uses mindfulness-based fMRI neurofeedback to target DMN hyperconnectivity in adolescents with affective disorder history, showing reduced within-DMN connectivity and increased state mindfulness.

The paper identifies the rostral zona incerta as a subcortical hub with dense connections to cognitive control areas and the lateral habenula, suggesting it as a potential target for deep brain stimulation in OCD.

The paper evaluates tractography methods using a macaque dataset to determine optimal approaches for mapping brain pathways from multi-shell diffusion MRI.

This paper reviews post mortem methods to validate diffusion MRI tractography and microstructural properties of axon bundles.

This study improves automated white-matter tractography in lower-quality diffusion MRI data by training on high-quality Connectom data and manually annotated pathways.

This study validates compressed sensing for DSI reconstruction, showing high fidelity at R=3 with reduced acquisition time, but degradation at higher acceleration factors.

This paper introduces a structured low-rank matrix modeling method to correct ghosting in ex vivo dMRI, improving accuracy and reliability of diffusion metrics.

This paper quantifies structural brain connectivity using diffusion MRI in aging and dementia, finding age-related trends and regional effects that suggest potential for age prediction and studying structural connections.

The paper identifies a connectional hub in the rostral anterior cingulate cortex (rACC) that integrates inputs from diverse frontal cortex regions in both macaques and humans.

This paper introduces a new structural connectivity measure that better correlates with functional connectivity and improves Alzheimer's disease staging compared to streamline tractography.